Welcome back, now when you talk about homegrown brands in India, there's one name that comes through shining and that is Titan. For the kind of brand extensions they've had over a period of time, starting out in the mid 80s with watches, bringing in jewelry, eyewear, perfumes and not just creating your own little brands but also to be able to get in other marquee names from abroad, some of which compete with your own brand. So when you talk about marketing strategy, how does it all tie in? That's the question that I've posed to the company's managing director Bhaskar Bhat, someone who's been in the business for a very long time. Mr Bhat, as far as the headwinds are concerned and you have been talking about the general headwinds that we are seeing in the watch business right now, not least of which coming in from what the government has done by way of fan requirements as well. How much is that hurting the business as it were and apart from the other headwinds perhaps you should put that in context for us. The primary reason for the decline in a way of our first six months, sales performance was something which hit the jewelry business, not the watch business, which was to do with the regulatory requirement in golden harvest schemes and so on. But other than that, consumer sentiment was weak. The watch business itself has seen some challenging times in terms of growth, volume growth and again there we've seen different growth rates between our brands. For example, our brand Sonata has done well, Fast Track, not as well as it was doing in the past but nevertheless growing more than Titan, Titan brand growing in value, not so much in volume, the impact of e-commerce and not on the category of watches, it is overall because there was so much discounting in that space that there was a shift in spending itself and many categories you know that in the e-commerce, the e-commerce players have been discounting very heavily. So it's a combination of many factors. But looking at e-commerce, it's not something that you can wish away, discounting is not going to go away very quickly. In that kind of market Mr. Bhatt, what does the Titan do? Well, I don't think you can separate Titan from e-commerce. As in e-commerce is a reality and it's a channel of sale, the internet is a space which consumers are more and more experiencing brands, products in. Therefore, it's a reality and Titan has already started work on the digital experience, on trading on the net. We have several partners with whom we work. As well as our own e-commerce site, Titan.co.in. No, but what you're up against is the discounting element, how do you compete with that? I think that it's a very short-term phenomenon, I mean to be able to buy a Titan watch at a price lower than Titan could have made it is unnatural, it's not possible, it is not sustainable. But at this point in time, in this kind of scenario Mr. Bhatt, you're introducing a smart watch and that is by itself a game changer perhaps or a huge risk. How do you see it? Well, I think it is a long-term view that the company always has taken and that is what juxt, that is where juxt is sitting. It is similar to what I spoke about the internet behavior. That is, consumers, the next-gen consumer and they're not different. It's the same consumer who's progressing to, you know, for the digital experience on the internet. Connecting your watch to the smartphone is what juxt does. The only differences from long research, from long understanding of the Indian consumer, we are of the view that you need to provide the Indian consumer with a good-looking watch. So about the timing of it, of course, is important, I want to understand the marketing rollout plan that you have for a product of this kind. What's the thought process over there? Where are you positioning this brand now? Price perspective, it's about 16,000 to 20,000, so it's high from the average Titan price, but then Titan itself has watches in that 10,000, 15,000 price point, Titan brand itself. However, the smartwatch, the so-called traditional smartwatch, if you want to, how smartwatches have been introduced, those are much more expensive. Right. If it's not, so much the volumes game right now, Mr. Bhatt, if it is not so much the margins because you're saying that you're coming in at an affordable level and you have this partnership going with HB to offer the technology on juxt, tell us how exactly this works when you look at the numbers. Right now, we are looking not so much at numbers, we're looking at penetration. The mission is really to get people to adopt this version of the smartwatch, which is a good-looking watch which has technology enabled. So when you brought about the change that was trying to get at the popularization of a certain technology, a certain look perhaps, a certain trend as it were, that was a different market. Today, the market has changed. A lot more people are a lot more aware about the various brands and what they really bring to the table. In that kind of competitive environment, how do you hold your own for everything that's associated with brand Titan to keep it intact, even as you introduce newer and newer brands? And you brought in a lot of international brands as well, right? There is the FCUKs, etc., of the world that you have brought in. So to kind of be able to marry existing brands, existing Titan brands with the many other brands that you're out there in the market with, how do you create marketing strategies that are unique and yet they all tie into the mother brand? Okay. I think the mother brand Titan, it's no longer, it's the business. It's a category business, watch as business. So let's say FCUK or Tommy Hilfiger that you're talking about, it's about increasing our presence and giving to the Indian consumer what he or she wants without actually owning all of it. We own brand Titan, we own brand Fastrack, we own Sonata, we own Zyles, we own Nebula, but it can't go on like that forever. People in a category like watches much like in shirts or shoes, brand loyalty is not about buying the same brand every time. You have maybe five, six Titan watches and then you stray because there is something else that you're looking for by way of brand. Do you see the marketing mix really changing right now from the time that you started the business with a brand like Titan, just as well? Completely. How has it changed? With this brand, we'll be more active in the social media, we'll be on television as well, but the kind of promotion we're doing even on television to this target audience is very different, the kind of advertising we're doing and activity in the social media is very different, it's emerging as a very important space and Titan has done it well, perhaps there's a long way to go yet, other brands are more active, but Titan has certainly done a good job with Fastrack for example or even our Tanish brand. So we know that space and with Juxt we'll get more active. There has been a transformation of the new age consumer has moved, has realized, I mean let's take the large IT industry, large employers, that's one segment very strong with Titan. By way of consumers. By way of consumers and for them all these regulations don't matter to them. The mobile Indian young Indian woman for whom Tanish is the brand of choice because that's the only brand which is available in your hometown or in your work. Which are the segments that are working out the best for you and how do you think they are going to do for you now? Jewelry is back in growth, Iwer was always growing well for us but it's a small business, we've got to go get growth back in watches and this technology play is going to help, but watches has always responded to innovation and you know the innovation we've brought in Raga, Fastrack, consumers have responded. So the growth drivers change every few years, that is the beauty of our business model because we have several categories and therefore if one business faces headwinds, another business makes up and so on. But overall if you ask me it's still challenging time because of consumer sentiment. So we could have grown at 30% but we are growing only at 25 or 20. Now you have to deal with that, you have to deal with those uncertainties, so you have to do other things, you have to manage costs, you have to manage inventory, you have to get more agile, you have to be more, you have to be leaner. So all of that is work in progress and it has been for a period of time but talking about businesses and this is something else that you've taken on and I'm going to quickly ask you about Vistara as well. So as far as aviation goes and Vistara's prospects in 2016 go, how are you seeing it? Like the business flying high, no, I think it's early days for me to comment in any sensible manner, but it's early days for the brand and therefore growth is going to be natural. The airline is not yet complete in its offering in terms of routes. So every new route will see growth. So looking forward to great things from Titan as well as Vistara, it's great to have you with us on the show Mr. Pat. Thank you.


Hello all, welcome back to the viewing session. We have Ankit with us who will be talking about building scalable and robust data science solutions at developers perspective. So looking forward to the really interesting talk, Ankit, you could take it on. All right. Hello, everyone. I am Ankit. This is the first time for me for attending a PyCon conference. And I'm going to take you through the topic, building scalable and robust data science solution. And we are going to look at that from a developers perspective. Actually, the title was a little misleading. This is the actual title. What I'm going to do is actually do a lot of ranting. And the reason I'm doing is, you know, Missouri loves companies. So I would like to hear your guys' opinion and feedback on the same as well. Before we start, a little background about me. Sorry, Indra, but I think that's really relatable. Developers rant. OK. Interesting. So we already have a volunteer who is supporting us. So we are all good. Cool. Yeah. So I work for AB InBev, which is world's largest beer producer. I have a background both in data science and computer science and engineering. And I have also worked as a web developer for a number of years. OK. Before we move on to set a little bit of context, again, in today's scenario, we have a lot of data science solutions being built. And the challenge is to take them to production. And this whole path involves a lot of different people with a lot of different skill sets who get involved in the entire process. And because these people are wired differently, there is a lot of conflict which arises. And what we are going to do today is look at what kind of conflicts people are facing in this ecosystem. So there is a very interesting Reddit thread. And you can find the link in the presentation. And you can go through it. So I'm going to take out three, four of my favorite comments from this particular thread and share with you guys. And then what I'll do is I'll share a couple of my personal life experiences in this domain as well. And then we'll try to actually solve the problem and go beyond just ranting. All right, that's the first one. So the data scientist's poor excuse for a pipeline, the DS pipeline, run Jupyter Notebook 1, copy the result and paste into Jupyter Notebook 2 as a variable, and then run Jupyter Notebook 2. Again, so when you go to people and you ask them, like, what are you doing? And they say that we have completely automated our data science solution. We have fully automated refreshers. And when you actually do a little deep dive, this is what you see. So this is neither automated nor you can call it anything which can be called as fully. And still people say that we have fully automated refreshers. We have another comment which is on a similar line. So let's have a look at that. OK, I swear that whenever I ask them to push the code to Git and I'll take a look, they literally push a notebook. And this has happened so many times and it keeps happening to me as well on a day-to-day basis. When you see people write code and push to Git repo and you will see a one huge notebook with thousands and thousands of lines of code. I personally have nothing against notebooks. I love them. I have used them as well. But they are good for a very specific purpose. And going beyond that and taking notebooks to production is a nightmare. So we need to understand that when we talk about production notebooks is not the right way. And one critical thing about notebook is whenever you ask, let's say you have a notebook from a data scientist and you say that this is not giving the results that what you mentioned. So it's usually the response that you will get is, oh, you cannot run the cells in the order 1, 2, 3, 4. What you have to do is you have to run it in a very specific order, which is like 1, 7, 3, 4, 5, 2. Then only you will get the desired results. So how do you take something which is built that way to production? How do you solve that particular problem? One more comment from Reddit. My org is very similar. But the ML and the engineering teams are also separate. Also, the ML people are called as data scientists. And the data science people are called as decision scientists. So it is not at all confusing, again. Why will it be confusing? We have so many different titles for people who more or less do the same things. So business analysts, data scientists, insights, generator, n number of different titles, ML engineers. So why it's confusing? Let's add like five, four new titles. And then it would be really challenging. And then we can say that decide your title. That's the job itself. That's a challenge on its own. All right, final comment from Reddit. Fortunately, our scientists' bands are higher than the engineering bands. But we hire mostly PhDs who can all code to some degree and code as well as software engineers sometimes. Man, I don't know what to comment on this. Because if you find people like this, I would say that you should never let them go. These are not human beings. They are like unicorns. If you find somebody who is as strong in statistics and data science as he is in programming, they can do wonders for your company. So if you do have people like them, please, please keep them in your company forever.  All right, sharing some of my personal experiences. Because Reddit is internet. People do brag. And I know you guys trust me. So I'm going to share some of my own experiences. OK. And this particular comment is very generic one that I keep getting every two weeks or something like that. So we are walking on something great. We are walking on the next gen evolution. And you would say, OK, that's amazing.  That's very good. Show me your code. And this is what you will see again when you go and look at the code. And it doesn't stop there, right? So you can come back and say, Ankit, maybe. Sorry. OK, I thought that was a noise. So you can come back and tell me that, Ankit, maybe they are doing amazing things inside the Jupyter Notebook. So I decided to take like two minutes and dig a little bit deeper in this particular repo. So the next thing what I saw, which I cannot provide you with a screenshot for is what they have done is they have taken the entire data which they are using for production and committed that as CSV files to Git repo. And it doesn't stop there. So you would think that's the rock bottom. No, it is not. So what is happening more is you go and look at the commit history, you would see commits like added product XYZ, removed product XYZ. And initially, I thought maybe they are updating the data because they have already decided to commit the data to Git repo, right? But that's not the case. So they have 1,000 or 1,500 lines in the Jupyter Notebook. And they have hardcoded all the product names and column names and everything. So every time the I sort my changes and somebody adds or removes a product, it gets they have to go back in and update the entire Jupyter Notebook. All right, cool. One more experience that I want to share and I want to rant about, OK? So this happened a while back. A few people approached me and said that we want to use this particular OS library, which is amazing. It does what we want. And we want to customize few lines of the code because we want to change a few behaviors of the project. And then we want to use that. And I was like, amazing. That's amazing, right? We all are fans of open source here. Go ahead, do that. And if possible, go contribute back to the upstream library. Please, please do that. And two weeks later, when I look at the code snippet, what they have done is they have taken the upstream code, which was a bunch of classes which was very well written. They have copied all the classes into a single giant notebook with 500 lines. And they have changed the five lines that they wanted to change. And the obvious question I asked was, why would you even do this, right? I can't even imagine. I never expected this. What is the reason? What is the thought process behind? And the two reasons that I got is that for the first is it works. And the second is it's easy to do, right? So how do you come back to a statement like that? And to be honest, it's not a rhetorical question. If you guys have an answer and you know how to deal with situations like this, I would be hanging around in the hallway. Please reach out to me on Zulip or the hallway and let me know how to handle situations like this. Cool? OK, all right. Enough of ranting. We have been ranting for a while now. And we do want to solve the problem as well, not just show what is the problem. So the problem that we want to solve is how do we take something which is built for analytics and take that to production? And this is what I am recommending. Obviously, there are many other ways to do. And this is what I think is going to work out well. And let's have a look at it. And maybe I can get some reactions later in Zulip or again the hallway. For this particular conversion, let's bucket whatever you are doing, whatever softwares you are building, whatever analytical solutions you are building into three different buckets. The first one is let's call it bucket one, which is the setup, preprocessing, and post-processing that you do. So basically everything besides the actual algorithm. So you might be reading the data, treating outliers, null values, doing feature engineering. And after running the algorithm, you might be applying certain business constraints, transforming the data so it can be consumed by REST APIs or whatever is your end consumption point. So all of that comes under this particular bucket. So for the next bucket is the algorithms itself. Let's say that you are doing more than just importing a random forest from SQL learn or something. So you are designing your own algorithms, which can be a unique approach, which can be something else. And that comes under this particular second bucket. And the third phase is obviously orchestration. How do you orchestrate the entire processes? Cool. Let's talk about each of these buckets. So the first bucket is, again, setup, preprocessing, and post-processing. And this is one of the things which is, again, very close to typical software development and software engineering. So a lot of the principles that applies there also apply here. Obviously, they're with minor changes and things like that. So the first thing you should do is you should move away from notebooks. Notebooks, again, as I mentioned, are good for POCs, are good for EDAs, but they are not good for production. They are not production friendly. So move away from notebooks, modularize your code, use smaller classes, which are easy to understand, easy to debug, easy to trace back. Obviously, extensive unit testing is an important factor. I'm going to talk a little bit about unit testing later and we had a lot of sessions today on, let's say, yesterday, sorry, on hypothesis testing as well. That's also an interesting piece. But no matter what is your testing framework, you need to have extensive tests. Just because it's a data science solution doesn't mean that you get a free pass of not writing unit tests. So you must implement extensive sets of unit tests. You need to abstract your data layer, how you are accessing your data. So let's say you are using something like ADLS today and then you decide to move to something else. So let's say you decide to move to a data warehouse from ADLS or the other way around.  What about the data models? So if you rename a table, if you rename a column, do you have to go back and touch your code at all? Or do you have abstracted that data models logic somewhere, which you should be doing, by the way? Extensive logging. So we also had a session yesterday from S Anand on how to do logging in a nice way, how it can make your application seems faster. So that's also a critical piece. And it also helps you in debugging your code better. And the final piece, again, is inbound and outbound data checks, which you should be doing anyway. Because if your data is not reliable, your solutions and your results will never be reliable. Again, this list wasn't supposed to be an exhaustive one. So there are a lot more things to do. And each of these titles can be a session of their own. So I'm not going to go deep into this. And we will defer that for a later period of time. What we actually going to look at is the second bucket, which is how do you build novel algorithms that you are writing as Python packages? And how do you take them to production? And the third piece is orchestration. Again, that's more or less very similar to what you have been doing in a software engineering environment. It doesn't really change a lot, with obviously minor conceptual differences. So whatever you were doing before, you can follow a similar process in and around orchestration. So let's talk a little bit more about second bucket, which is how do you take your algorithms to production? And this is assuming you have built an algorithm, which is novel, which is not something present already in Escalar, or a similar API. So this is what you want to achieve. And this is a simple example that is taken from the Escalar website. A few things that you must notice here is it's how intuitive, how smooth, and how easy it is to get started with Escalar. With this example, it takes literally 30 seconds, or less, for me to have a working classifier that can do prediction on a data set. Of course, the classifier might not be amazing, but it takes me less than 30 seconds of time to get started and implement something using Escalar. And this is what you want to achieve when you are building a novel package out of your algorithm, that you want to achieve similar cleanliness, similar intuitiveness, and similar smoothness for your algorithms. All right, but how do we actually do it? How do we actually achieve what we have been talking about? So the way I see it is the actual implementation piece is a minor effort that is required. But the major effort required is to take a lot of design decisions. And I have categorized those design decisions into four different pockets, which I'm going to talk about a little bit in details in the subsequent slides and also this slide. And each one of them, I think you should spend a little bit of time with your team and understand your use case and take a decision before you move ahead and actually write the code to build the package. OK, so the way I have categorized those design decisions is based on what or who is interacting with your package. So the first view that I like to call it is the user view. So basically, how do you design your package or your API so that it's very intuitive, very easy to use for your users? So what we have been talking about in the previous slide as well. So it should come naturally to your users. So if you look at most data science and machine learning libraries, they have something as simple as clf.fit x and y. So whenever you are writing your packages, it should be in line with that. You should not be doing something very different. So whatever you do, it should come intuitively for your users. It should be very easy for them to understand. You should have sufficient documentation. You should have sufficient examples. Again, I'll go back to SQL learn. It's so easy to find an example for any API that I want to use from SQL learn. So you should do that. Again, your API should be reliable, readable, and you should not break backwards compatibility often. Next set of categories is the actual implementation of the package. So you have to take a lot of design decisions which are around software engineering principles. So what exactly is going to be the architecture of your code, right? So what is the folder structure that you are going to follow? What are the different coding standards you will follow? Pep 8 and Pep 484 are the most common ones, but it doesn't have to stop there, right? So you have to define what exactly are the different coding standards that you need to follow for your packaging code, OK? Again, unit test. Unit test is a very critical piece, and I cannot stress this enough. You need to have extensive unit test coverage, and maybe test which goes, again, beyond unit test, which is something like property testing, which we were discussing yesterday in one of the sessions, or something, integration testing, or data testing, which we talked about in a DVC session today. So it really depends on your situation, but you need to have extensive unit test. And writing unit especially is a little bit challenging in data science environment, because there is a lot of randomness inherent to most of the algorithms. But you have to decide what actually you can test and how you want to test it, and what actually you can let go of. So the next category of decisions is around the infrastructure point. Exactly how you want to share your packages. Do you want to make it public or do you want to make it private? If you are going for public, PIPI is kind of the industry standard. If you are going for private, two solutions that I have explored are Microsoft Artifactory and JFrog Artifactory. Obviously, there are many other solutions in the market. More or less, they all do the same thing. So pick one and go with it. But you have to make those decisions before you move forward. And the final bucket is the processes, which is actually one of the most important ones as well, because this is how you communicate with your users. So how often do you release? Do you do something like semantic versioning, which is like major, dot, minor, dot, patch? Do you release on demand? So whenever a feature is ready, you do a release. Or you follow something like Ubuntu's release cycle. So they release on 4th and 10th of every year. So you have to take those decisions. What kind of licenses do you want to use for your package? Are you going to make a GPL3 open source or MIT? Or do you want to use something as close source licensing? Do you want people to report back bugs to you? Do you want people to contribute back to you? How exactly they do that? You have to simplify the processes. And let's say in certain scenario, when you have to break backwards compatibility, how do you communicate that to your users and explain to them that why have you broken backwards compatibility and what exactly they can do to transition to the newer version without going through a lot of trouble? So these are a lot of the decision points that you need to make. And trust me, this is the most difficult part of building actually the packages. Actual writing code is much easier and it can be done in less than an hour. But taking, it's very important that you spend time taking those decisions so that it's really a very good experience for your users who are going to use your package. Actually, let's now look at how actually you can build a package, right? So we have taken all the decisions. You have your algorithms code ready and you want to build a package out of it and you want to deploy that. So the way to do is basically create a setup.py file using setup tools. And I'm going to share all of this code towards the end of the presentation. So you create a setup.py file and you provide all this information in the setup.py file. So if you go to, let's say, pypy and you look at escalon or any other package for that matter, right? So you see a lot of meta information. That meta information is what is being powered from this particular setup.py file of the respective packages. So here you basically tell your users information about who is the author, what the package does, what are different keywords and a whole bunch of things like that. Okay, so once you have your setup.py ready, the next step is to again do authentication with the server where you are going to host your packages. So basically the artifact tree, right? So for this example, I have taken a private J, what I'm using is a private JFrog artifact tree but it doesn't really matter. So the way you authenticate with the private repository and you tell the repository that you have right accesses to push the packages is by creating a pypyrc file and then you provide the following information. The first keyword local is the name of that you want to give to the repo. I'm calling it local because contradictions are nice. Then you can provide a repository URL, then you can provide a username and a password or you can also give a token. So now your authentication is ready, your code is ready and now you are ready to build the package and deploy. And it's as simple as running one of these two commands. Again, it builds slightly different, builds your package slightly differently and we can get into details of this offline. But if you want to distribute source along with your package, you can use something like S-TIST and if you want to build a wheel package, you can use the first command. So this command builds the package and also deploys to a remote called local. And it's basically unless you have a very, a lot of files in your package, it's gonna take you less than 30 seconds to build and deploy a package with this command. Cool. Now we have a version up on JFrog or PIPI or whatever server we are using, right? How do your users install it? Because again, this might be a private installation. So basically what you do is typically people, sorry, the typically people install a PIP package by running the command PIP install XYZ. So they have to provide an extra parameter called extra index URL and supply the, their access, which would be a read access with a username or token and a server URL. So that's the only difference they have to do. Again, there are other ways so that you don't have to go through that difference as well and you can implement those as well, but it's as simple as that, right? So just adding one more parameter and it gets your package from a private server. Cool. And finally, we are basically, so from your user's perspective, nothing, there is no difference for them if they are using SK Learn or this particular package. And if you see the example on top for them, it's very simple, it's very similar, right? So they just import the package that they have installed and use it like SK Learn or any other package. And if you see the deployment instances, it's again, we started with the objective of implementing something like SK Learn, both in terms of API and also achieving versioning and production ready packaging for our algorithms. And that's what we have achieved on the left, you can see, which is again a private propo and you have different versions of your code and you can again, add and remove APIs like you see happening in SK Learn. And again, just to conclude, this is again, if you remember and go back to the slide that I was sharing, this is only a part of the entire data science solution. You have to do production ready code for your pre-processing and post-processing and orchestration piece as well to achieve something that can actually truly stand test of time, okay? I think you guys can download the presentation and the materials used and the code from this particular GitHub link. I am open for questions now. Thank you. Hey, Ankit, that was a really nice talk. And I think there's a really innovative way to share the presentation. The QR code. Thank you. Yeah, so a great talk on building scalable and robust data science solutions. I think we do have a couple of questions. Let me start with the first one. So could you shed some light on S-TIST versus V-TIST? Okay, so it's basically the format that you are distributing in. S-TIST means source distribution. So that means that you are including your source along with your code versus in a wheel package where you might not be including your source. Again, there are minor other differences as well, but that's the major one. I see. And there are many more questions. I think people will reach out to you on Zulip, but I'd really like to have a small conversation about how has the whole process been? So generally when you're building a data science project, you start with the EDA and then you start from there and then build an entire project. And you said, you start generally with a notebook and then move into a Python code or how is it? Yeah. So whether we like it or not, everything starts with a notebook in a data science world. So it's, and I don't think we can challenge that or change that, so that's going to be staying the same. And that's fine because I have built data science solutions and the EDA capabilities of Jupyter Notebook is really good because you can interactively get responses. So that's what we do usually. So the POCs are built in Jupyter Notebooks and once the POCs are validated that it has some value, it's producing some business results that we intend to, then we try to think of how we can take this into production and move it out of a Jupyter Notebook. Let's see. Okay. And so when you say scaling systems, so when you say scaling, so let's say you're starting with a scikit-learn as a module and then building an entire system around it. And then when you say scaling, are you talking about moving to something like PySpark or what exactly is scaling? Yeah, so again, it's very specific to the environment that you are working on. So what we do for us scaling is because we deal with a lot of data and usually in the POC phase, we might be working on, let's say one city. And when you go to production, it might be like 150, 200 cities. So what we do is initially, again, the same thing from pandas to PySpark move, right? So the initial implementation is usually pandas where data scientists also prefer to work with pandas. But again, when you are dealing with a large amount of data, it depends on the scale, right? So we have to move to something like PySpark which is more distributed. So would you like to shed some light on common issues that you would face while you're switching from pandas to Spark? I think one of the things that a lot of people that I know have gotten to or have come across is how Py4j is something that creates a lot of issues on the PySpark side. Yeah, so I think, so there are two parts to it. One is the infra part of it, which actually is much simplified right now because we are using something called as data picks if you have explored that. So that's basically the whole Hadoop infra as a pass. So you don't have to manage the infra. So that's part is solved. But the actual moving from pandas to PySpark is definitely a difficult thing to do. Especially because there is steep learning curve in terms of the APIs, which is very different in pandas versus PySpark. That's one of the major challenges that we face is the learning curve, Py4j and some of the technical challenges. I think we have faced that, but not a lot especially I think because we are working with data picks and we can reach out to them for support anything related to infra. But the biggest challenge is it might take you two lines to do in pandas but it takes you like 15 lines and two hours of going through Stack Overflow to write the same thing in PySpark. Right, right. So thanks a lot for bringing in the actual industry view of how things happen because a lot of people have seen code written in things like scikit-learn in snippets and examples, but when it comes to production and when you need to scale that is when the real challenge is coming. And thanks for sharing light on some of those things and also thanks for sharing a whole lot of tools that you actually use. So I'm sure a whole lot of people from the audience will go back and check out the presentation and learn more about all of these tools. So thanks a lot Uncle. Thank you, thank you. Happy to be here. Thank you, bye. It was a really insightful session, thank you. So soon we'll have our next speaker coming in. So kindly sit tight. Thank you.


Hey everybody welcome back to Nintendo Prime it is Monday it is the 25th you know what it also is It is the week lead up the weekday lead up into Halloween Halloween is one of my favorite holidays of the year isn't that right mr. Pumpkin? I think he agrees so uh we got three stories to talk to you about today these should be really really fun and entertaining uh beyond all of that uh yeah there's giveaways going on we have giveaways going on every single month and just check out the link down in the description or the pinned comment for dread toppers giveaway uh and yeah we have some other giveaways happening uh bit later this year that are going to be a bit of a bigger deal uh so be subscribed because hey you enjoy my content right so if you haven't done that yet click or tap whatever device you have to be on that subscribe button I would also appreciate if you would like this video and maybe even leave a comment in fact let me give you something to comment on what is your main in Super Smash Bros. Ultimate and why all right so we got three stories here this first one apparently comes from a data miner uh so I haven't been able to find the direct source on this so I do apologize obviously I'm trying to get this video out in a timely fashion uh but I did hear this from Samus Hunter who uh is not saying that this is her information that this is publicly available information uh I've seen a couple people message me about it but again I haven't actually gotten the confirmation so we're just gonna work on the presumption that Samus Hunter is not lying to us about this because Samus Hunter was trying to say I haven't heard anything about this but she's aware of data miner stuff so here's the deal Mario Party Superstars comes out this week right cool awesome should be a good time uh Nintendo did a warning on one of the minigames to not use your palm on the control stick because you might break the control stick or hurt your palm uh which is I mean I don't know why people expected that minigame to change by the way there was nothing wrong with it just because you played it back in the day in an unintended fashion to gain an advantage doesn't mean the minigame needs to change just stop abusing the mechanic anyways that's not it here nor there um so data miners have uncovered that two to three potentially new boards coming to the the uh game now these boards are not currently announced uh we don't know exactly what the boards are but apparently they're going to be coming in the future so this would be something like future dlc uh so that's cool because people always wondered were they going to expand the game in the future or was this just going to be it the superstars collection hunter games was this just going to be the whole shebang and it appears nope there's going to be some more boards coming now I obviously have my own personal uh favorite boards for Mario Party history that aren't in this game yet so we'll have to wait and see if any of mine personally make that cut but we first have to have this dlc announced or these free updates potentially announced uh I don't think it's going to be announced soon this to me sounds like something that hey maybe at e3 or something around that time next year they'd be like oh by the way we have new dlc coming out for Mario Party superstars after it just crossed the 10 million sales mark or whatever milestone it gets to so uh yep that's that's pretty cool again data miners are usually really really really accurate when it comes to this stuff because they're literally just finding things that are in the game files and you might be wondering how the hell of data miners uh done this well because super mario oh sorry was it mario party superstars I always get there's so many day in Mario Party games um so Mario Party superstars uh has been leaked um not only is it all over the internet uh there's legit copies especially if you live in california you can go on apps like offer up and find people selling real copies of the game um I decided not to order one in because by the time I would have got it from Cali uh the game would pretty much be here so I might as well just wait uh but yeah this is pretty cool um I mean not so much that leaked obviously the the weird thing about this game leaking is that besides these data mine discoveries it's just boards and games we've played before so it's not really that big a deal so I don't know anyways let's get into our next story our next story uh deals with an analyst who is giving a prediction on nintendo's next gen hardware and when we can expect it this analyst is a name you probably have not heard in a while we're talking about web bush analyst michael packer he does a show I think it's every week called the uh the packer factor now this is kind of like a follow-up show from his old game trailer days uh and yeah he he basically answers a bunch of fan questions every single week uh and he does it for free by the way he's not you know this isn't something that he's being paid to do uh he just does it because he enjoys it uh and one of those questions dealt with when he would expect a next gen uh nintendo switch to come out because there's obviously rumors of next year maybe 2023 here's what he had to say I think the probably the earliest you're going to see a new console is 2024 and honestly more likely 2025 so again not because they can't they can it's because they're making so much money making switches if the switch is still 300 dollars it'll drop the 250 dollars he's talking about the base model after christmas and what supply and demand get in balance again the OLED will become the de facto model so the mainline model at 300 so I prefer to do this before by the way they're going to drop the price of the old one stop making the old one drop the price of the OLED that's going to be I've actually made this prediction already that part of it anyways uh but they're minting money at 300 dollars the thing costs them less than 150 dollars to make probably less than 100 dollars so they're able to make a ton of money as long as the they are what's the rush to bring out a new console they believe the competition was microsoft and sony they would release a more powerful console that um this goes back to mr owada and his blue ocean strategy that's the mantra of the company nintendo is absolutely convinced that they're playing on a different playground than everybody else and they don't care how many xboxes or playstations are sold and in fairness to them if you want to play nintendo games you're buying a nintendo console as long as they have good content and a lot of it uh they're going to keep selling switches and one thing they've got is good content and a lot of it if you start to see a decline in sales of software you could worry but you're not their games are killing it they're just selling so many units of everything and it's because their games are really really good so I do agree with him obviously on the point that the games are really really good I get that subject that some of you guys don't actually like the switch versions of games and new ip's I've even heard some people say they don't like Metroid Dread which to me is just baffling especially I should say it's baffling to me if you previously enjoyed Metroid games if you're a new person into the series and you tried Metroid Dread you didn't enjoy it that's totally different not every game every genre is for every person all right that being set um I do think there is a good sentiment to say that 2023 24 25 feels like a next gen nintendo time frame but it all really depends obviously if switches continue into sell well obviously it depends if whatever this supposed new system that's been in the works um is supposed to be a new gen or if it's just a mid-gen upgrade if it's a mid-gen upgrade and we're not getting a new system in 2025 a switch pro in 2022 makes more and more sense if we're not really getting the next gen until 2024 2025 but we'll have to wait and see this is all speculation at this point but I do appreciate his viewpoints I also think Michael Pachter is a fairly intelligent person I know people can point out all of his wrong predictions and just fact based inaccuracies in the past but um none of us are analysts that are handling millions of dollars of people's stock money so I'm just saying that like yeah maybe we're experts in other things that he is not but the field he works in he's literally one of the best to do it so that's one reason why I can respect his opinion when it comes to stuff like this because all of this affects stocks and he nintendo is one of the stocks that he does track and suggest buy or sells in to his clients all right this last story is maybe the the best story out of all this so there's been a rumor circulated and I didn't really put much stock into it until jeff grubb spoke up today and yes I know jeff grubb doesn't have a hundred percent track record either although he has a good track record sometimes things change behind the scenes um and honestly I've been wondering when this was going to happen and maybe it took Super Smash Bros ultimate blowing up but we're starting to see companies coming out with more and more Super Smash Bros clones yeah there was that indie one I think brawl hollow or something like that but setting that one aside we haven't really seen a lot of high end ones until obviously Nickelodeon all stars or whatever came out and apparently is pretty solid pretty good not as good as smash but still it's a passable Super Smash Bros clone and is good enough for people who are fans of Nickelodeon but here's the thing uh WB is reportedly working on their own Super Smash Bros clone which is very interesting when you consider all the IPs that WB controls um jeff grubb who said this is real but wouldn't give any exact ideas he did note that netherlands is not the studio behind it that was what the initial rumor was netherlands so i'm going to kind of disregard the original rumor because it all felt around a studio that is apparently not doing it according to jeff grubb but that the game itself does exist WB owns quite a few interesting properties or at least has some film rights to a lot of interesting properties they probably could translate into video game IP rights if they want so this is going to be interesting because let's look at the IPs that could potentially be in a game like this so you have batman and basically the entire DC comics so that's a lot a lot of characters right there um the harry potter franchise uh pretty much anything that's ever been made for adult swim or the cartoon network because WB owns that um HBO shows you know think about things like game of thrones hello queen of dragons having that her up here that would be insane john snow i mean the list goes on and on for HBO characters you could throw in there um they actually have some IP rights to certain lego movie properties uh so lego characters in here wouldn't that be kind of cool godzilla they own godzilla so that's one the matrix and that's coming back obviously we have rocky rocky bell boa wouldn't it be cool a boxer type to get in there um and more sherlock holmes they own the ip rights to that scooby do obviously friday the 13th a nightmare on elm street i mean friday kruger i mean that this is just a really really cool stuff uh that could potentially appear in there in fact someone mentioned maybe even lord of the rings they don't own the full rights to it but obviously they could maybe work something out there i get some gandalf action in there or or any of the main characters really get frotto or something i don't know to me this just all sounds awesome um i'm all for there being more of these smash bros clones because super smash bros while it's the greatest crossover in video game history it's also very specifically tied to video games uh whereas something like this which could have involved a bunch of movie and comic and book characters is something that would never happen with smash bros at least the way smash bros is currently done so this makes a lot of sense same with the nicolodium one i was totally fine with that as well because those characters realistically were never going to be in a smash bros game otherwise so to me it makes sense for some of these side ones to exist and by the way having more smash bros like fighting games is fine think about how many one-on-one you know side by side playing games do we have you know whether it's tech and whether it's mortal combat uh whether a street fighter so many of these games are basically fundamentally designed in very similar fighting styles the traditional fighting game style that goes back to the arcades that we don't really have a ton of ones that are built like smash bros and it doesn't make sense because super smash bros has always been basically the most popular fighting game in terms of sales and now ultimately it's massive i actually think that we're just hitting the tip of the iceberg if wb does it in this concessal the nicolodium one sold well um before you know it we might get flooded with games like this and maybe then it might become a little bit overbearing but for right now as long as it's interesting companies that own a large variety of ip i think it makes a lot of sense this is obviously a way to also get a smash bros style game with characters people might care about a lot on other platforms besides switch and that is obviously good for gamers in general i'm not one of those people that thinks hey screw you other gamers shouldn't get to have this kind of fun don't forget that console wars are dumb if someone's going to go out there and make a smash bros like game with those kind of characters through they're going to have an appeal to the playstation xbox pc audience absolutely go for it i hope they bring it to switch to like you know don't leave us out of the loop too but everyone should get to partake in a game like this so i don't know i'm pretty excited about it and that's going to do it and i'm sure maybe you've seen my dog walking around he's kind of curious hey nat why are you recording pay attention to me yada yada yada see here he is like a you're a good boy oh yeah who's a good boy who's a good boy this is link that's right buddy all right folks thank you so much for tuning in i am the tanner obajance from nintendo prime and i'll catch you guys in the next video


An important skill for working with logarithms is the ability to rewrite logarithmic expressions. Using the rules of logarithms, we were able to expand a single logarithmic expression into a sum, difference, or product-involving logarithms. It will also be helpful to go backwards to rewrite a sum, difference, or product-involving logarithms into a single expression. And as usual, it helps to identify what type of expression we have. So here, log2 of x plus 10 minus log2 of x plus 1, this expression is a difference of logs. And if we consult our rules of logs, we see that a difference of logs shows up when we consider a quotient. So this difference of logs becomes the log of the quotient x plus 10 divided by x plus 1. How about something like this? So remember, the type of expression is determined by the last thing that you do. And this is minus one-third times log of x. And that means that times is the last thing we do. This is not actually a log, at least not yet. Now, while we could handle this coefficient of minus one-third, it's sometimes helpful to rewrite negative numbers as differences. So instead of minus one-third log x, I can write this as zero minus one-third log x. So what does that do for us? Well, we might remember that zero is the same as log of one. And now I have a difference which suggests I'm working with a quotient, except this isn't yet a difference of logs. It's log minus one-third of a log. Which means we have to do something with that coefficient of one-third. Well, let's take a closer look at that. That's one-third times log. And that sounds a lot like number times log. And that comes from the power rule for logs. And so this one-third log x, I can rewrite this as log of x to the one-third, or I can also write that as cube root of x. Now we have a difference of logs, so now we can use the quotient rule. And then we have something like this, and the most important thing to recognize here is that this is not a sum of logs. What we're actually adding is three times a log plus two times a log. Which means we have to do something with this three times and the two times. We can use the power rule and rewrite our two expressions. And now we have log of something plus log of something, and that sounds like the product rule. Which gives us our final expression.


Welcome to Digital Asset News. Take your top stories in cryptocurrency digital assets and break it down to bite-sized pieces. Today, we've got some pretty good stuff. First up, legendary investor says not owning any Bitcoin has been a massive mistake. So, the question really comes down to this. How high can Bitcoin go and how much should people put in their portfolio? Also, we take a look at Virginia Tech firm offering staff options to get paid in Bitcoin, Ethereum and Bitcoin Cash. So, when I take a look at this, I think to what is the future look like and are we all going to be working from home and getting paid in cryptocurrency or will it be just the same old thing? And finally, we take a look at the question, the value of Cardano's Treasury reaching 100 million and what does that do for the Cardano Foundation and what does that do as far as voting? So, we're getting to both of those topics. But first, let's take a look at one important piece of information which is we hit 100k. So, I want to tell everybody thanks so much for subscribing. It means a lot.  So, we try to do those things, talk about dollar cost averaging and not get really outside of too much as far as the craziness. So, moving forward, we want to do the exact same thing just to more people. So, again, thanks so much for subscribing 100k. And again, like I've always said, I think 2021 is going to be everybody's year for crypto and digital assets. So, thanks. I appreciate it. So, first up, let's take a look at what's going on the market. So, today it is January 25th, high noon El Paso, Texas time. So, here's what we got. Bitcoin's up 8%. It's pretty good day, right? So, we were down to 29,000. Bitcoin at chapter 41, now it's down to 29,000. Now we're 3-3. So, this is just extreme volatility. If you are new to the digital asset market, first of all, welcome. And second of all, this is not un-normal for these high fluctuations. So, if you're from the traditional market and you come over, just know that sometimes it's 20%, 40%, 60% gains and dips. So, that is just the price of being in the game. A lot of you guys in the old space would talk about, hey, I made 12% this year and it was a great year. But we just call that a Tuesday, so it's not a big deal. So, just be prepared. And if you want to be here, just have ice in your veins and know that this is normal. Ethereum of 4.6%, 13.84%. USDT or Tether up 2%. Sure. Dots at 2.1, XRP. XRP. Almost tied to the quarter. Cardano at 3.2%. Anything great? Anything like super fantastic gains? Not really. Oh, Theta. Congratulations to all your Theta holders at 14.5%. That is me. So, real quick, on this channel, I have to be completely honest with you. That is I am totally biased towards all of my picks. And I usually cover a lot of those, a lot more than things that I don't actually invest into. I try to delve away from it, but it is just true. Now, I invest a lot into a lot of different cryptocurrencies or assets, but if you see me talk about some things and stop, it's just because I'm biased. That's just the truth. So, let's take a look at if we had actually invested just on the Bitcoin, how would we have done? Because that's the big question. If you're going to do all this research and time, how would you do if you just would invest in something else? Well, for most things, you'd be down for today. But for Ethereum, you'd be up 20% for the week. So, hey, that's a good thing. USD teases a stable coin, so no. Dot, you'd be up 10% for the week, but you'd be down 5% for today. And if you just look at the 24-hour timeframe, which just kind of gives you a rough estimate, most things would be down except the Theta, sure. Tron and VeChain. Celsius, you'd be up a whopping 0.1%. So, when you're doing all these trades and doing everything else, just make sure that you're not making or overcomplicating your life and just see what could be a really safe bet. Now, having said all that, my price prediction for Bitcoin this year is $150,000. Some people say $400,000 and some people say $1,000,000, but those people are crazy, not just me. So, for all these things, you have to understand that really in actuality, you're only looking at like, right now it's around $30,000, so you're looking at a 5x, which any other place would be awesome, but here, again, that's just 5x. Ethereum, I think, could be a big play, but there's problems with that. I talk about that in my 2021 price prediction dots and everything else, but just take a look at what it could be and what it is right now. So, that's it for the market. Let's jump into today's top story, huh? So, this one was pretty good. Miller is the legendary investor I'm talking about, but not only Bitcoin has been a massive mistake. What is he talking about here? Well, first of all, Bill Miller, really seen you wrote there over the past decade not owning a Bitcoin, been a massive mistake. I would have to agree. Over the last 10 years, the best-performing asset has been Bitcoin. So, I don't understand how different hedge funds that are out there, different financial analysts, which, let me just be clear, I'm not a financial analyst. I cannot give you investment advice. These are just the things that I do and I find interesting. So, I can't give you any advice. Don't listen to me. Do your own research. But Miller here, he's done his own research and he says, hey, I'm a financial planner and you should be investing into Bitcoin. So, I don't understand these all these different companies that are like, no, it's going to zero or no, you shouldn't invest into it. You're doing malpractice essentially or financial malfeasance, I guess, when you're not recommending Bitcoin. Because if you would do that and not to put in 100% but just put in like 1% to 3%, maybe 2 to 4% as a hedge against the market, I think that would be a viable option. I'm big into diversification. I have multiple, multiple cryptocurrencies. I also invest in a gold and silver. I also have stocks and bonds. I also have land and houses. I just don't see why someone would say, you know what, tomato coin, $100 million, put it all in there. That's crazy. But I mean, whatever you want to do. So, Miller is the founder, chairman and CIO of investment firm, Miller Value Partners, as well as the portfolio manager of firms, mutual funds, opportunity equity. So, my question always is this, great. So, you are a great investor. What do you do as far as assets under management? Because that's a big thing. How are you doing it? Because that really, to me, signifies trust. People trust you to give you their money to invest for them. Miller Value, as of December 31st, they have $3.5 billion. So, all right, pretty good, pretty big company. I mean, there's no BlackRock with their, whatever it is, $6 trillion asset under management. But still, a couple of billion dollars. I don't have a couple of billion dollars. So, good for these guys. So, in his port of note that Miller is not your average fund manager. Miller's 15-year streak has beat the S&P 500 and still a benchmark that no active manager can touch. So, this guy is really good at beating the S&P 500, which are all the top 500 companies that you could invest in. And then as those companies slip, then new ones get put in. Now, in all honesty, the S&P 500, yeah, it is. But I mean, really, it's the big four companies, which is Microsoft, Apple, Google, Facebook. I think that's, there's one more, but that's pretty much 25% of the entire S&P 500 tech. So, anyhow, but he's beat them for 15 years. So, good for guys, like I said, good for him. Here is the actual interview, which I will link in the description below. But this is the big thing. On January 21st, this is what he said, Not owning any Bitcoin, massive mistake. And we expect that will continue to be true. A long-term candlestick chart shows progressively higher lows, despite significant volatility, clearly representing growing demand from long-term holders willing to tolerate the swings, which is me and you. There is a 12-year track record of demand growing consistently faster than supply. Almost every long-term holder of Bitcoin has earned a higher rate of return in Bitcoin than in anything else. So, congratulations. If you've been holding since 2010, good for you. That's amazing to me. Or if you just got into the game, just hold and usually things go up. You can do all the trading you want to do. Me personally, I do a little bit of trading. And the only time I do it is when I'm talking to CJ and Weston, and we do this thing called Trinity Trading. You can check those videos out. There's like once a week. But that's it. And it's like 1% of my portfolio, I'll be honest with you. It's like nothing. But some people like to do 5%, 10%. But again, I can't tell you what to do. It's all up to you. Miller addressed some of the common criticism of Bitcoin. And this is where I think is the real value of this whole article. We know where Bitcoin is going to go. Some of us need a little reassurance. That's why I always do these videos. But you're going to come across, you're going to come to the next family function, or your coworker, or even your sineval, like that's a scam. So he addressed two of the big ones. He says, Hey, there's one that people talk about Bitcoin is nothing but a Ponzi scheme. And you will hear this from a lot of some, not a lot, some economists like Robini, Dr. Doom, and you'll hear it from that Goldbug guy. I do not say his name on this channel because I can't stand him. And it goes like this. He goes, Look, as far as Bitcoin, this is easiest to address because it demonstrated a lack of understanding of both Bitcoin and Ponzi schemes. Bitcoin is the opposite. Ponzi schemes involve a central criminal extracting value from all the investors and using new investors money to fund redemptions while falsifying stated returns, which is exact. And it's true because with Bitcoin, everything is decentralized. There's no centralized middleman. That's what makes it great. Toshin Okamoto, I hope that guy stays gone. I don't want to ever come back. We need him to just get out of the limelight because that would be a centralized figure with Bitcoin. There's no centralized figure. And on top of that, when we talk about the value, as the value rises, it doesn't just go to like the new people or the older people, like in some kind of cryptocurrencies, it gets spread out amongst all of us. So again, it's not a Ponzi scheme. I'm glad he brought that up. And then the next one, the big criticism is, well, it's going to be banned by Take Your Country. And he says, you know what? It's worked for 12 years with little regulatory interference under multiple administrations.  So in those in America, I don't know where you're at, but prime ministers and chancellors, they get moved around all the time. It's been around for 12 years. Nobody's banned it yet.  Bitcoin doesn't live in my computer or some central bank. There's 10,000 nodes spaced out through the globe. So I don't understand how you could do that. And then this one was interesting. In 2014, a senior member of the Federal Reserve Bank of St. Louis studied Bitcoin and concluded that enforcing an outright ban is close to impossible. Well-run central banks should welcome the emerging competition. So I agree on the first part. It's hard to ban, but I don't, like the next part where he says, what was central banks should welcome the emerging competition? I don't think that's going to happen. So to finish up, the new head of the SEC, Gary Gensler, if you haven't seen my videos on him, he actually gave a talk at MIT, and he talked about Bitcoin, Ethereum, XRP, Ripple, and he pretty much lays out exactly what it is. He is giving a speech to these geniuses at MIT. This guy knows crypto. And he says the new head, Gensler, is a Bitcoin fan. While we believe the next decade will see adoption grow at a much faster rate than it did during Bitcoin's first decade. So if that is true, I think we're going to see a pretty great year. Miller pointed out, though, and this is important to note, that his fund that he invested in Bitcoin by buying convertible securities tied to Bitcoin. That convertible security is MicroStrategy's 0.75% convertible senior notes due 2025. So what MicroStrategy has done is they are a tech company, and they got heavy into Bitcoin. And they got so heavy into Bitcoin, now people are saying that MicroStrategy is essentially an ETF, because if you invest in the MicroStrategy, you really invest in the Bitcoin. So sure. And then, of course, they're talking about senior notes through 2025. Whatever it is, this guy's a believer in Bitcoin, and I couldn't be happier. So let me just think of the comment section. And for me, I think this is a big case. It's not so much about telling you what other people think, but you have to understand that people who are in the investment realm, they look up to this guy. They look up to a Paul Tudor Jones. They look up to the mass mutuals, and they say, you know what? If they're doing it, maybe we should take a harder look at what's going on with Bitcoin. And again, it's just social proof. Anyhow, in the comment section where we want to say, let's move on to our next piece. This one. This one was interesting, because, hey, I think this could be the future. I was actually watching a show this weekend. Good morning, America. Something like I forgot it was. But they were talking about how the shifting enterprise, as far as people who are working from home, as opposed to working into offices, because they talked about how in the beginning, offices and big businesses, they would say, you know what? We can't work from home. It's not productive. It's a very big negative.  This works out pretty great. So I think in the future, we're going to see a lot of people working from home, which is why I think we're going to need a lot of bandwidth, which is why I think Zoom is going to be big. But also, I think Theta is going to be big. And you can check out my videos about Theta in the description. But we're going to need a lot of bandwidth and we can only do so much. So there's the one part. The next part is how we're going to get paid. I think this is the answer. So Virginia Tech firm offers staff options that get paid in Bitcoin, Bitcoin Cash Ethereum. So this is Sequoia Holdings. And it's offering their staff the option to set aside a portion of their salary and invest it in cryptocurrency. So it's kind of weird, first of all, and I'll get into why. So Sequoia Holdings is based in Reston, Virginia and provides engineering and analytic solutions to the United States national security sector, including intelligence, defense and homeland security. Interesting. And these guys are like, you know what, we do all that stuff. We're going to give you guys Bitcoin. The company's employees will be able to choose to defer a portion of their salary and have it invested in either Bitcoin, Bitcoin Cash or Ethereum. And they kind of say, well, this is like our company's 401k. But this is calculated after tax deduction. So you get paid $1,000 a week or whatever it is, right? And then you get your tax at 25%, whatever. So now you get 750. So that's 750. They're going to say, however much you want to go to you, let's say you want 500 and you want 250 bucks to go and do cryptocurrency. We'll do it for you. And we have a third party that can be the custodian so you don't have to worry about it. They're like, great, well, I'll just do that. I don't know if that's really the right way to do it. Again, when you give up a lot of your control, a lot of other people are making a lot of money when you do that. So then I'll tell you why in a second. So all crypto savings will be held in digital wallet. You manage by the same third party processor. And this is what the CEO of Sequoia said. He says, many of our employees are enthusiastic supporters of crypto, and we're happy to help them gain exposure to this trillion-dollar asset class. Crypto as a merge is an important alternative to traditional investments like stocks and bonds. So I'm going to say like this, this guy's completely right. I totally agree with what he's talking about. I still have stocks because I still believe that there's a lot of companies that could do really well, Tesla being one of them, Amazon being another one, and then Mara, which is mining for Bitcoin. But those are the things that I get into. I'm not telling you what to do. So when you have this type of thing and you're saying, okay, well, you tax me, tax my salary, and then take that money and put that into cryptocurrency, that's fine. But you have another piece to that. And that is capital gains tax. So you just got taxed on your income. That's how it goes. Then you invest in a Bitcoin.  And you get paid $30,000 per week, or let's say $40,000, $40,000. You get your taxed at 23%, whatever else it is. So you're left with $30,000. And you know what? Just put it on a Bitcoin. So every week I'm going to get one Bitcoin. At the end of the month, you've got four Bitcoins. Let's say that Bitcoin that you bought at $30,000 appreciates to what I think it's going to be $150,000. Well, now guess what happens? If you want to cash out before a year, those are long, sorry, short-term capital gains. And you're going to get taxed to the wazoo again. So you get double taxed. And then if you wait, okay, I'll wait till after a year and I'll let it sit. Well, there's a dip coming. I'm just letting you know. I mean, if you look at the four-year cycles, doesn't matter. You're going to pay a little bit less in tax, but it's going to be like around 20% for your long-term capital gains tax. So again, you get taxed on your salary. You're going to get taxed on those capital gains tax. That's what they're doing. Me personally, this is what I am doing. Just so you know, it's called iTrust. And it is a cryptocurrency IRA. So if you have a traditional IRA, or you have an old employer plan like a 401k, 403b, military TSP, or 457, when you put that into this crypto IRA, again, there's different parts of this. There is a traditional, a SEP and a Roth IRA in the link in the description below. There is going, well, there's a link in the description below. And there's a video that I made is about 19, 20 minutes. So, and it just talks about all the different types of IRAs that you can get into. So if you do this, and you get into this IRA, whatever your cryptocurrency appreciates to, you cannot get taxed on that. They will not tax you on that. That's one of those loopholes, to be honest with you. Also, what is coming in the future, I think this is going to be quarter two, maybe a quarter three. They're going to allow for Ethereum staking in your IRA. So imagine this, and we'll get into this in a second. You put Ethereum into your crypto IRA with iTrust, then they're going to stake it for you. So you get how much the percentage is every single month or however long it gets paid out. That also doesn't get taxed because whatever things appreciate in the IRA, you don't get taxed on. And that is why that is part of my portfolio. Now, here's the thing. This is only for US citizens in Europe. There's a different program, not for sure what it is, but I know iTrust doesn't do it yet. Hopefully they will. And if you get into that, it just kind of offsets things. But the problem is, is that in America, you can only put up to $7,000 per year. But again, diversification. You put a little bit here, you put a little bit in the sales here, some Voyager, you get some revenue from the yield right over there. You do other types of staking, like with DNews staking pool. And then maybe you take out a crypto loan. It's all these types of things that you can do with cryptocurrency. So don't just be stuck into one thing. And then also the last thing I'll say about iTrust is that, and I know this, you can pass it down to whoever you want to, kind of like a trust, but not a real trust. So let's say you have this iTrust, crypto IRA, and you pass away and then the will you say, my wife gets it, my daughter gets it, my kids get it, my grandkids get it. They don't have to pay me penalties and any taxes as well. And they can actually start to withdraw from that at any time. They don't have to wait till a certain age. So again, if you're looking for that, there's a link in the description and check that out. So let me know what you think in the comment section. Let's move on to our next piece. Okay, next up, the value of Cardano's Treasury reaches 100 million. This one's going to go pretty quick because this one's going kind of long. So the question is, why is the Cardano Treasury important to the community? Why is who carries down a million? Well, the goal of the Cardano Treasury is to provide funds to develop the Cardano blockchain through a voting process. I'm going to get into voting. If you own Cardano, if you own Cardano and Ethereum, you've got to stick around for this one. Okay, especially for voting. Cardano's Treasury is funded through several different channels, which includes taking a percentage of stake full rewards and transaction fees, holding back a portion of newly minted coins, and accepted occasional donations of charity. The funds held in the Treasury are meant to finance various projects. We'll get into that. And proposals for improving the blockchain, which are chosen through community votes. So what are we talking about here? I'm going to get into voting in a second. And the Treasury is great. But what does that mean? Well, first of all, I want to talk about staking. This is called Pool Tool. This is pooltool.io. I'll link that in the description as well. I want you to notice something at the very top right here. Let me blow this up so you can see a little better. See that right there? It says Pool Tool on that. It says total staked $22.1 billion. $22.1 billion. And then underneath there it says the total supply is $31 billion. So I'm going to say again, almost 70% of all the Cardano in existence right now that is circulating is being staked. Can you believe that? So let's take a look of what Ethereum is being staked. This is from beaconchain.in and the staked Ether is $2,260,132. So we'll just say $2 million. Let's just keep it simple. You got $22 billion over here and you got $2 million over here. What is the total supply? This is Cardano. The circulating supply is $31 billion right now, $35 max. $31 billion, $45 max. And Ethereum, what do we have? Circulating supply, $114 million. So what does that mean? What this means to me is that Cardano amazingly has so much of their AIDA that is being locked up right now that is being staked. It is crushing Ethereum. I know people will talk about, well Ethereum is really it's much superior and there's a lot of things being built on it and whatever else. That's very true. There's a ton of things being built on it, but that's why the fees are so god-awful right now. So when you take a look at different projects, you want to see what is the community doing? What are the developers doing? How are they leading? Who do they have on their team and what is going on? I invest in both. Again, I'm biased. I invest in Ethereum because I think this is going to be great. I invest in Cardano. I think it's going to be really great. Actually, I don't know which one is going to be fantastic. That's why I invest into both.  There's also this thing called slashing rewards. You have to lock it up for, it could be a year, it could be two years, it could be six months. Don't really know. But the prediction is about a year. If you want to lock up your Cardano, you can lock it up with anybody, you can move it around. It never leaves your wallet. It stays right there and there's no slashing fees. What are slashing fees? Slashing fees is if you don't have everything up and your pool isn't really working, then you could lose some of your Ethereum. That doesn't have happened in Cardano. In Cardano, if you don't have your pool up, you just don't get the rewards. It still sucks, but at least you're not losing everything. I've always talked about this. Cardano made the staking experience perfect. I can't say perfect. It made it really good. We'll say that a lot better than with Ethereum. That is for sure. Real quick, if you are interested in any type of staking with your Cardano, if you have Cardano, if you're one of the people that is outside that 69%, then I would have you consider digital asset news or the DNews stake pool. Just so you know, pool.io or pool.io, if you do a search for DNews, you can see right here, these are epic. I know people say, well, it's epoch, Rob. Well, Charles Hoson says epic. I'm just going to go with that. Epic. So there's the variable fee. What is that? I explained in a video. I'll show it to you in a second. Here's epic 242 because every epic is five days. And it's about 4%. But just seeing new, we're not doing so hot on this one. But usually it's between 4% and 6%. That is the industry average for all the stake pools. And our lifetime return on spend is 6%. So not too bad. If you're looking for the stake pool, just go to dandyscrypto.com. But actually, there's a link in the description. A little bit down. I'll show you in a bit. But if you go to this page right here, and then you scroll down to this handy dandy video, which is right here, it's about, I think, 13, 14 minutes and explains exactly what Cardano staking is, how simplified it is, how you can stake to DNews and everything else that goes along with that. And then just consider us. If you don't, hey, there's other options out there. And we even show you all the different wallets and everything that's out there. So just give us a little bit of a peek. And that is the big thing. So that is staking. Now I want to talk to you about the voting, because I really didn't understand this for a while. So I had to figure this out.  Well, voting or governance, it's a mechanisms through which a system makes decisions. In Cardano, every token holder, you hold the stake in a network and is entitled and incentivized to vote on proposals to develop or upgrade in the blockchain ecosystem. For FPs, those are funding proposals. This is done through a dedicated voting app. What the heck is that? I'll show you what that is. This dedicated voting app, oops, wrong one. If you just, first of all, really this link should be on this page. I don't know why it's not. Maybe it is and I'm missing it, but I didn't see it. So if you look up Cardano voting app, if you could spell, I can't spell. So I get an auto correct. Cardano voting app, let me blow this up. So it's called Catalyst. And if you go here, it's an app that looks like this, and you can vote on what you want things to be funded. And there is one for Google, there is one for Apple. Again, you have to do a search. I don't know why it's not here. Maybe it is. I just missed it. Talk to me in the comments below, but I had to do a search for it. But that's the app that you use, and you can vote on what you feel is the best bet for things to be funded. An example could include funding future platform development, developing new capabilities or integrations. Once a proposal is submitted, can be voted on by any ADA holder, no technical knowledge. Each vote requires a temporary deposit of ADA, and the most successful proposals will receive funds from the Treasury, that $100 million we're just talking about. Now you got CIPs, and those are Cardano Improvement proposals. Those are a little bit different. They are publicly visible to the community for discussion located in the Cardano Foundation GitHub's repository. Proposal protocol level changes. So if you want to take a look at that, it is right here when you just click on that link. And you can just take a look at what is going on as far as what they are talking about, as far as improvements to the network and everything else. You can take a look at that. I did. It was pretty dry. Let's just take a look. Well, this is the process. Meeting notes, and it looks something like this. So go ahead and take a look at that.  That's really what it goes down to. Okay. So that is the big stuff. Let me hopefully that made a little bit of a sense, a little bit of sense about as far as the voting process, how much is actually being locked up as far as staking with Cardano versus Ethereum. And then if you watch that video I talked about, which is at npeachescrypto.com, just click on ADA staking. There's a video and explains. I mean, really it's a far superior way for staking for us. I'm sure Ethereum has a lot of different things that are superior to Cardano, but that is where we're at right now. And that is why I believe that in 2021 Cardano will go to $3 at minimum. And that's my conservative guess. It's a guess. All right. So I know I'm a little bit long to apologize. I tried to condense it as best I could, but there's a lot of great things going on in this space. And again, I think 2021 is our year. So if you like those types of videos, do me a favor. Hit the like button, subscribe. I never asked for that. I'm going to start doing that more often. Also, if you like this video, as we more just like it, it's going to pop up on the left and right. I'll let YouTube do its magic. And that is all for today. So thanks so much for staying all the way to the end. I really appreciate it. And again, thanks for those 100,000 subscribers. We are humbled. See you in the next one.


Item No. SCP-360 Object Class Euclid Special Containment Procedures Foundation agents embedded in airport security and sky and marshal agencies worldwide are to monitor air travelers in chartered flights for suspected activity related to SCP-360. Individuals suspected of attempting SCP-360 are to be detained, questioned, and administered a Class A amnestic. All items related to the activation of SCP-360 are to be confiscated for research. In confirmed cases of SCP-360 activation, Foundation response teams are to enact media suppression and prevent dissemination of knowledge pertaining to the incident. Flight crew and passenger witnesses are to be administered a Class B amnestic and given a cover story. Description SCP-360 is anomalous ritual that ostensibly allows a single living human subject to ascend to a higher plane of existence. When performed at an altitude of 10,500 meters or higher, affected subjects emit a blinding light and a burst of high energy radiation for several seconds then disappear. The radiation dosage is negligible and does not pose any long term danger to affected individuals. However, due to the altitude required for successful activation, SCP-360 had resulted in numerous aviation incidents involving both public and private aircraft. When questioned, numerous witnesses of SCP-360 activation events, particularly those identifying as devout religious adherents, have reportedly experienced auditory and or visual hallucinations consistent with their religious beliefs. These have taken the form of seeing the affected subject with luminescent wings or a halo prior to disappearance, music with no identifiable source, religious iconography or imagery, or a feeling that they were in the vicinity of a powerful presence. To date, no individual who has successfully performed SCP-360 has ever been recovered. Addendum 360-1 Investigation Log Following thorough interrogation of individuals detained prior to successful activation of SCP-360, it has been determined that in every case that knowledge of SCP-360 had been disseminated through a multi-page letter sent to the individual's residence. This letter reportedly contains self-help information, instructions for performing SCP-360, as well as a final message encouraging the reader to forward the content onto other interested individuals. The vast majority of interrogated individuals had already forwarded the letter, but on ██████ one instance was successfully contained by members of Mobile Task Force Alpha-4, Pony Express, prior to mail pickup by local postal employees. The contents of the handwritten letter, which had been determined to be non-anomalous, are as follows. To whom it may concern. Faith is real, but devotion is a myth. God exists, in fact, all gods exist. They are real, and their power is real, but their motivations are childish and petulant. Whether you believe in salvation, transcendence, or reincarnation, these are but hoops in the petty games that they would have you believe to be necessary. Real peace is found within you, and no priest or rabbi can tell you otherwise. When you learn to accept and love yourself, that's when the world fondly falls into place and the truth becomes clear. Let go of the empty words pretending to guide you to true happiness.  From those who have gone before to those who are about to come, we are here, waiting. Not as gods or angels, but as brothers and sisters. The remainder of the document describes two items required for successful activation of SCP-360, as well as the procedure required to complete the ritual. You will need a token, something from a loved one, a gift from a child, a flower from a spouse, or a toy from a parent, something that means something to you. You will need to mix a potion. The ingredients are simple, but need to be precise. 50 ml of purified water, 1 crushed mint leaf, 5 g of dried willow bark, 3 ml of tea tree oil, 500 mg of acetaminophen, combine ingredients and simmer over low heat until it turns luminous gold. 1. Fly. Lift yourself above the highest peaks, where the air is thin and the heavens are close. Angels and demons may be the messengers of the usurpers, but they have wings for a reason. 2. Hold your token close to your heart. Remember how you felt when it was given, cherish that feeling, and let it grow within you. 3. Drink the potion. Let it numb the body and free your spirit. 4. Repeat these words. 5. Be free. Pass this on to those who need it. You know who they are, and you always wish that there was more you could do to help. They will find you and thank you for it. That's a promise. Due to the continued occurrence of incidents confirmed or suspected to be related to SCP-360, it is suspected that additional instances of this documentation remain uncontained. MTF-Alpha-4s contain when to monitor postal services for instances, and contain them as they become identified.