And we have Chris here who's a senior software engineer at Silicon Labs. He's also an instructor. So make sure you take notes because if you want lunch, you got to pass the quiz at the end of the talk. That's right. Thank you, Paul. So as Paul said, my name is Chris Morrow. I am here to talk to you today about a Python package I developed called Sign Analysis. So a little bit about me. I am a software developer at Silicon Labs. There's how you can get hold of me if you have questions afterwards. And then just a quick show of hands. Who here has worked with data in any capacity? Even if it's not in Python. Okay, so quite a few people here. Okay, so usually working with data at some point you need to analyze that data, right? And if that's the case, then I think Sign Analysis might be able to help you out there. So what is Sign Analysis? It is a Python package I developed for quickly and easily performing data analysis. And it is a high level wrapper around part of the Pi data stack such as Pandas, PsiPi and Matplotlib. And so you might be thinking, you know, these tools are great. Why do we need one more, right? And I think really what differentiates Sign Analysis from these tools is that they are very general focused, whereas Sign Analysis is very focused in terms of the analysis types it performs. It exposes a single function called Analyze that you use to do all the analysis. Also, part of my motivation for creating this was to tackle three problems that I incurred and probably other people have incurred when working with the Pi data stack. So these analysis types that Sign Analysis currently handles is the distribution analysis of continuous numeric data. It can also provide bar chart and frequency analysis of categorical data, as well as bivariate or correlation between two numeric vectors. And then lastly, location testing and distribution between different groups of numeric data. Okay, so those problems I mentioned. Problem one. When I learned Python, it was initially to do data analysis based off of the recommendation of some friends. So the first thing I did was I went out and I bought the Wes McKinney Python for data analysis book. And I was coming from working in Scala. And so Python was actually a breath of fresh air in that sense. But working with pandas in Matplotlib was tricky at first. And so I found myself referring back to the book quite a bit. So one thing that I wanted to accomplish here was I provide the Analyze function, which is a single entry point into performing data analysis here. It is handling or rather abstracting away a lot of the functions that are being called by PsiPi and Matplotlib. And taking care of that for you so you don't have to remember or constantly go back to and refer to these functions. So let's take a look at what that looks like up here. So I'd mentioned these four different analysis types for performing or just looking at the distribution of an array of numbers. You just pass that into the Analyze function. Pretty easy. Now if you are passing in an array of strings, it will perform a frequency analysis for you. And then now with location testing, this is where it gets a little tricky depending on how your data is shaped. If let's say for instance you have individual columns in a pandas data frame that you pass in, you can pass these in as a list or as a dictionary to perform some kind of analysis between these groups. Or if you're working with stacked data and what I mean there is you have a separate column that identifies the groups, then you just pass in the column of that data frame and then specify the groups. And then lastly, if we want to perform a bivariate board correlation analysis, then we just pass both those arrays in. So I know this is kind of high level right now. I'm going to go into more detail and show you some examples here in a bit. So now just one simple example here is what I did is I create a NumPy array of normally distributed random variables and then just pass that into the Analyze function. And what sign analysis gives me is a graph of the histogram. I get a box plot and then optionally I told it to give me a cumulative distribution function here as well. And for each graph I get I also get summary stats and it also tells me whether my data is normally distributed or not. So there's a little bit of input up there but everything else is what you get whenever you use the Analyze function. Okay, so let's move on to problem two. So unless you have a background in statistics, it's often difficult to know which hypothesis test you should use in certain cases. I mean even for statisticians this sometimes gets tricky and we like to argue over this quite often. So sign analysis is going to try to take care of that by choosing the most appropriate test given the data that you've supplied. So as an example let's take a look at what that looks like. So this is the decision tree for performing the location testing. First thing it's going to do is see did you provide more than two groups of data analyzed. And if so it's going to perform a one-way ANOVA if that data is normally distributed. Otherwise it's going to perform a non-parametric Kruskal-Wallis test. And then if you're using two groups and both are normally distributed it will perform a t-test. Otherwise it goes down to Mann-Whitney-U test and then if you have less than 20 samples in that data then you're down to the least-sensitive test which is the KS2 sample test. Alright so problem three, working with missing data is tricky. And so in this example here I am using Matplot lib to graph two lists. Each list is just values ranging from one to five with the exception that one of them has the value three missing in it. So how Matplot lib handles this is when it encounters that missing value you just get a missing segment in the line there. Now in the case of, now let's say we wanted to try to do a best line fit on that and we have a missing value. I pass that to the numpy polyfit function and it just gives me a value error, right? So side analysis can pretty seamlessly take care of this. I pass in the exact same list to the analyze function and it knows that there is a missing value in one of the lists and then drops the value at the same index in the corresponding array. So you can see here where it's pointing out the linear regression n is equal to four there because it did drop the corresponding value. Alright so I'm going to stop talking about some of the motivation and purpose there and I want to show you some actual examples. So what I've done is I want to try to answer the question which city has the best weather out of Austin, Denver, Las Vegas, New York and Seattle. And what I've done is I've put together a notebook that if you want to follow along the notebook you can find on my github. Let's go to github.com. Sure, okay yeah that's it right there. Slash PyTexas underscore 2019 and you can view it there or you can clone the repo and work with it in a Jupyter notebook if you prefer. Alternatively you can also open the notebook in Google Colab or Binder. Anybody here use Google Colab? A few hands? Yeah I think it's good stuff. What about Binder? Anybody use Binder? Okay, okay one, one so okay. Yeah definitely if you haven't heard of Binder go check it out. It's good stuff. Okay so what I've done for this notebook is I pulled a NOAA GSOD dataset from Google Cloud. It's stored as a BigQuery table and let's see it's a bubble dataset under samples.gsod. There's a couple of them out there so I wanted to specify which one I'm using there. Also this table is 16 gigs so I've limited the analysis to just the years 2005 to 2009. And then also best weather, I mean come on, that's a super subjective thing right. So I want to try to quantify that a little bit by adding the constraint that the best weather is going to be the city with the maximum number of good weather days minus bad weather days. So again still good weather. How do we define that? So I'm going to take a stab at it and say that it is the average days per year where the temperature is between 16, 80 degrees Fahrenheit. Plus the average number of days per year where the dew point is between 40 and 60 degrees Fahrenheit divided by 2. Alright? So we're going to codify that into a function in our notebook. Alright, so first thing is there's no cities in this dataset which I'll show in a minute. Instead it lists all the data by the WBAN weather station that collected the data. So first thing it did is write a function here that is going to set the city by the weather station number in the dataset. And next it's always a good idea when doing EDA to at least do some sanity checks upfront. Here I'm looking at the data frame and I can see that I have 9,081 columns, sorry, rows. And then here I'm just listing the column names and then I'll look at the data types of these columns to see what I'm working with. And here I can see I have a column for year, month, and day that are integers. I have a mean temperature column which that's going to be useful. Also I have mean dew point which I can use for determining good weather. A little bit further down I see I have a maximum temperature column too. So I have two different temperature columns so I might want to see which one of those to use.  So first things first I use the analyze function on the city column to make sure I have equal numbers of data per city. So what I can see up there is that each city makes up about 20% of the data which is great. Now let's repeat this process for year and month to make sure that those are close to equal as well. So again here for the years 2005 through 2009 have roughly the same amount of data so far so good. Here month looking at the months there's some variation there by you know number of days per month which we would expect but again it's looking good so far. So now let's now I'd mentioned there was two different temperature columns right so let's see which one we might want to use here. So one of them is called mean temp the other is called max temperature right so max temperature would make me think those values are higher. So it's a good thing that I didn't make that assumption because looking at it here I can actually see that max temperature has a lower mean by like 10 degrees on here. Now this is something that I might have missed had I not plopped this data into Sy analysis and saw this real quickly. Now since max temperature looks like a liar and I have a mean do point column I'm going to stick with mean temp for the rest of the analysis here. All right so now we're just looking at the general distribution of mean temp here then we can also now group mean temp by city and look at it that way as well. We can see that Austin and Las Vegas have higher average temperatures which we would expect. And now we can repeat the process for do point by looking at the overall distribution of the do point and then again by city here. Okay so now there is actually a relationship between temperature and do point or at least so I'm told according to Wikipedia. So let's look at that correlation and what we see is there appears to be a pretty good correlation there but our best fit line doesn't look great and we have all these kind of low flyers on there. So we can drill down into this a little bit more and kind of see what's going on. I can do repeat this exact same analysis but here I'm passing in groups is equal to our city column and it's because the colors are a little tough to see there. It's Las Vegas has a lot of those low flyer points on there. So what I might want to do here is because Las Vegas and Denver both a little bit lower I can compare both those individually to New York which actually has the highest correlation coefficient here. Okay so here the red is New York the blue is Las Vegas and we can see there's actually pretty big difference there. I think this is attributed to differences in relative humidity since Las Vegas is in the desert after all and does have a lower relative humidity throughout most of the year. And you know a similar thing for Denver here as well I can kind of see and there it's not so much I mean Denver is definitely not the desert but it is at higher altitude. So I think that is what kind of explains the data there. So now we're getting close to wrapping up. I create a function to define my bad weather which is if any of the columns rain fogs no hail thunder tornado are true then I mark that as bad weather for that day. I also have functions for determining the temperate climate which is between 1680 degrees and then also kind of the comfortable humidity level between 40 and 60 degrees and apply those to the data frame. And then I finally summarize all this by grouping by city and year and so since I'm looking at five years worth of data what I do is I get the total count per city per year throughout all that. And then next is to average that across the five years by city and then finally apply our best weather formula there. So anybody want to guess which city actually has the best weather. Just go ahead and yell it out. Okay here Vegas. Any other guesses. Seattle. Austin. Okay. So San Diego. Honestly San Diego probably is true but it's not in here. So that was kind of on purpose. Okay so the answer according to our data here is Seattle. I was shocked too actually. It turns out if I had used max temperature then the answer is Austin. But here really what's doing it for Seattle is the dew point. And I mean now Seattle does have the most bad weather days but I guess it has so many days where the humidity is between 16. Or sorry 40 and 60 degrees Fahrenheit that it edges out Austin here by a little bit. So that's actually all I have. This is just the highlights of the notebook. Again if you would like to play around with the data in the notebook I encourage you to do that to learn more about how to use sign analysis. And thank you. So we have a little bit of time for questions. Does anyone have questions? Just raise your hand and I'll run out to you. Just out of curiosity is this your first package that you were in? Yes it is actually. Thank you. Just along those lines I'm happy you've been working on this. Okay so the question is how long I've been working on this. A while actually. So I think I started in 2015. Back then it was just a single module of several functions. And it's gone through a few refactors already. So now it's actually object oriented. The code is still not as clean as I'd like it to be. So definitely if you want to check out my GitHub and look at it you can see my trash there to quote the keynote. And so I've been working on it a little bit over the years here and there between work and video games and teaching. So yeah it's still work in progress. There's still more stuff that I want to add. So I guess my main question is with that single there's no way to choose what you're looking for if you know what you're looking for. So that's a great question. And it's something that I've been thinking about a lot is behind the scenes there is kind of an API for performing different analysis types. And the analyze function is basically just the logic for choosing which one to use. So I've been thinking about creating the docs for that so you can go in use the one you specifically want. But now kind of what I'm toying around with is actually creating preferences. And so you could optionally create a serialized preference file to disk that it can read from that. Or alternatively you can pass in some arguments to kind of set your preferences for the rest of the session. So then that way like say you don't want to use the Kruskal Wallace test you have something against that. Then you can set the preference for the test you want to use and it will just always use that one every time. Oh great. Any other questions? So are you still working with this? What's coming in next? That's about the future if you can. Great question. So I'm currently squishing bugs but also so I showed that I can do some analysis of categorical data. That is the next big expansion. So one feature I've been working on for a while now is actually grouping being able to do grouped categorical analysis. And then also some support in there for sampling. So that might enable analyzing polling data for example. That's something that I've really been interested in. Also the other two big features are going to be being able to create like a heat map or matrix plot of multiple numeric pieces of data. And then also time series analysis. That's a big one that I'm pretty excited for and to get started on. But that I think is going to take me a while to get all the way through that. Any other questions? Okay let's give a round of applause.


So people I am back with another Outriders video and today guys we are going to check out all the legendary armor we know that's in the game for the Techno Mansa and there's some incredible things here to check out people. How's it going guys my name's DP journey if you enjoyed the video leaving a like really helps out and if you like what you're seeing when I see more Outriders on a daily basis be sure to subscribe. So going into this game being a Techno Mansa you're probably wondering what's on offer in terms of our legendary armor pieces well today we check out 20 in total with four five piece legendary armor sets so let's get into it and first up guys we have the boy with Monarch and guys look how great this thing looks those glowing green eyes I mean what more do you need now in terms of tier three mods I've said this in my previous videos I cannot confirm right now that they are tied to these legendary pieces all I know is to get these to apply them elsewhere we'll have to dismantle said legendary so it's added to your mudstache to apply elsewhere it's a simple set okay so this armor set as well as every legendary armor set you will get a bonus depending on if you're wearing three or more pieces so minimum three pieces you get this bonus increases weapon damage and frozen enemies by 80% also quick damage is increased for all party members by 10% for eight seconds after using the cold snap ability like wow absolutely incredible now in terms of tier three minds we ain't going to go through them right now but if you do want to pause the video to see what's on offer here with this armor set you can be my guest and do so and I hope it helps you out okay so we're going to move on guys to the second set today and it's called the grim inventor again techno manzai probably getting the best looking armor in the game I mean would you argue with that I'm not sure this is again absolutely amazing like a school cross gas mass cross emules I don't even know what that is but it's amazing either way okay so it's a three piece bonus for wearing three or more pieces of this legendary set it's called grim inventor while tool of destruction is active a confirmed hit with pain launcher refills 20% ammunition for both minigun and the rpg this only happens once for each tool of destruction usage I mean haven't used the technomancer yet I know about this ability a couple of my powers have used it said it's real good this could probably help you out and if we do look at the mods on this armor set as well there's a lot of it directed towards that tool of destruction so pretty cool okay so next up guys we have the plague sour I believe that's pronounced a game looking absolutely unreal uh three piece bonus set here is called plague sour upon applying toxic status gain 5% damage reduction for five seconds stacks up to five times wow we also see guys a lot of the uh mods here the tfu mods that are uh dedicated to blighted rounds which is pretty cool we wanted to dedicate to the blighted totes yes guys that's the third armor set and now we're onto the fourth and final called the torrential damper now this is one day originally showcased a while back again looking great not as good as the others I will admit but it's still looking pretty good and a three piece bonus on this arm set is called torrential damper shrapno creates additional cluster bombs after explosion well I mean like I ain't used like I said I ain't used the technomancer yet but I can imagine this could be pretty good for many scenarios but we will see and we also see the mods here are dedicated to scrapno and that fixing wave ability so that's pretty good but yes guys that is it for today's armor pieces on the technomancer if you're a technomancer main I hope this has helped you out so you now know what there is for you to chase within the full game of out riders but yes guys I know the end of the video has arrived if you enjoyed it leaving a like really helps add if you're new around here and want to see more out riders on a daily basis be sure to subscribe and hopefully people I will see you on that next one


We continue today with Chapter 20. THE TEMPLE OF THE HOLY SPIRIT The meaning of the Son of God lies solely in His relationship with His Creator. If it were elsewhere, it would rest on contingency, but there is nothing else. And this is holy loving and forever. Yet has the Son of God invented an unholy relationship between Him and His Father? His real relationship is one of perfect union and unbroken continuity. The one He made is partial, self-centered, broken into fragments, and full of fear. The one created by His Father is wholly self-encompassing and self-extending. The one He made is wholly self-destructive and self-limiting. Nothing can show the contrast better than the experience of both a holy and an unholy relationship. The first is based on love and rests on it in serene and undisturbed bliss. The body does not intrude upon it. Any relationship in which the body enters is based not on love, but on idolatry. Love wishes to be known, completely understood and shared. It has no secrets, nothing that it would keep apart and hide. It walks in sunlight, open-eyed and calm, and smiling welcome, and in sincerity so simple and so obvious it cannot be misunderstood. But idols do not share, idols accept, but never make return. They can be loved, but cannot love. They do not understand what they are offered, and any relationship in which they enter has lost its meaning. They live in secrecy, hating the sunlight and happy in the body's darkness, where they can hide and keep their secrets hidden along with them. And they have no relationships, for no one else is welcome there. They smile on no one, and those who smile on them they do not see. Love has no darkened temples where mysteries are kept obscure and hidden from the sun. It does not seek for power, but for relationships. The body is the ego's chosen weapon for seeking power through relationships. And its relationships must be unholy, for what they are it does not even see. It wants them solely for the offerings on which its idols thrive. The rest it merely throws away for all that it could offer is seen as values. Homeless, the ego seeks as many bodies as it can collect to place its idols in, and so establish them as temples to itself. The Holy Spirit's temple is not a body, but a relationship.  Here the unholy relationship escapes reality and seeks for crumbs to keep itself alive. Here it would drag its brothers, holding them here in its idolatry. Here it is quote safe, for here love cannot enter. The Holy Spirit does not build his temples where love can never be. Would he who sees the face of Christ choose as his home the only place in all the universe where it cannot be seen, you cannot make the body the Holy Spirit's temple and it will never be the seat of love. It is the home of the idolater and of love's condemnation. For here is love made fearful and hope abandoned. Even the idols that are worshiped here are shrouded in mystery and kept apart from those who worship them. This is the temple dedicated to no relationships and no return. Here is the quote mystery of separation perceived in all and held in reference. What God would have not be is here, kept quote safe from him. But what you do not realize is what you fear within your brother and would not see in him is what makes God seem fearful to you and kept unknown. Idolaters will always be afraid of love for nothing so severely threatens them as love's approach. Let love draw near them and overlook the body as it will surely do. And they retreat in fear, feeling the seeming firm foundation of their temple begin to shake and loosen. Brother, you tremble with them, yet what you fear is but the herald of escape. This place of darkness is not your home. Your temple is not threatened.  The Holy Spirit's purpose lies safe in your holy relationship and not your body. You have escaped the body where you are the body cannot enter for the Holy Spirit has set his temple there. There is no order in relationships. They either are or not. An unholy relationship is no relationship. It is a state of isolation, which seems to be what it is not. No more than that. The instant that the mad idea of making your relationship with God unholy seemed to be possible, all your relationships were made meaningless. In that unholy instant, time was born and bodies made up to house the mad idea and give it the illusion of reality. And so it seemed to have a home that held together for a little while in time and vanish for what could house this mad idea against reality, but for an instant. Idols must disappear and leave no trace behind their going. The unholy instant of their seeming power is frail as is the snowflake, but without its loveliness. Is this the substitute you want for the eternal blessing of the holy instant and its unlimited beneficence? Is the benevolence of the unholy relationship so seeming powerful and so bitterly misunderstood and so invested in as false attraction, your preference to the holy instant, which offers you peace and understanding? Then lay aside the body and quietly transcend it, rising to welcome what you really want. And from his holy temple, look you not back on what you have awakened from, for no illusions can attract the mind that has transcended them and left them far behind. The holy relationship reflects the true relationship the Son of God has with his Father in reality. The Holy Spirit rests within it in the certainty it will endure forever. Its firm foundation is eternally upheld by truth and love shines on it with a gentle smile and tender blessing it offers to its own. Here the unholy instant is exchanged in gladness for the holy one of safe return. Here is the way to true relationships help gently open, through which you walk together, leaving the body thankfully behind and resting in the everlasting arms. Love's arms are open to receive you and give you peace forever. The body is the ego's idol, the belief in sin made flesh and then projected outward. This produces what seems to be a wall of flesh around the mind, keeping it prisoner in a tiny spot of space and time, beholden unto death, and given but an instant in which to sigh and grieve and die in honor of its master. And this unholy instant seems to be life, an instant of despair, a tiny island of dry sand bereft of water and set uncertainly upon oblivion. Here does the Son of God stop briefly by to offer his devotion to death's idols and then pass on. And here he is more dead than living, yet it is also here he makes his choice again between adultery and love. Here it is given him to choose to spend this instant paying tribute to the body or let himself be given freedom from it. Here he can accept the holy instant, offered him to replace the unholy one he chose before. And here can he learn relationships are his salvation and not his doom. You who are learning this may still be fearful, but you are not immobilized. The holy instant is of greater value now to you than its unholy seeming counterpart, and you have learned you really want but one. This is no time for sadness, perhaps confusion, but hardly discouragement. You have a real relationship and it has meaning. It is as like your real relationship with God as equal things are like to each other. Idolatry is past and meaningless. Perhaps you fear your brother a little yet. Perhaps the shadow of the fear of God remains with you. Yet what is that to those who have been given one true relationship beyond the body? Can they be long held back from looking on the face of Christ? And can they long withhold the memory of their relationship with their father from themselves and keep remembrance of his love apart from their awareness? And from the workbook Lesson 163. There is no death. The Son of God is free. Death is a thought that takes on many forms, often unrecognized. It may appear as sadness, fear, anxiety, or doubt, as anger, faithlessness, and lack of trust, concern for bodies, envy, and all forms in which the wish to be as you are not may come to tempt you. All such thoughts are but reflections of the worshiping of death as Savior and as giver of release. Embodiment of fear, the host of sin, God of the guilty, and the Lord of all illusions and deceptions, does the thought of death seem mighty? For it seems to hold all living things within its withered hand, all hopes and wishes, in its blighting grasp, all goals perceive, but in its slightest sightless eyes. The frail, the helpless, and the sick bow down before its image, thinking it alone is real, inevitable, worthy of their trust, for it alone will surely come. All things but death are seen to be unsure, too quickly lost, however hard to gain, uncertain in their outcome, apt to fail the hopes they once engendered, and to leave the taste of dust and ashes in their wake, in place of aspirations and of dreams. But death is counted on, for it will come with certain footsteps when the time has come for its arrival. It will never fail to take all life as hostage to itself. Would you bow down to idols such as this? Here is the strength and might of God Himself perceived within an idol made of dust. Here is the opposite of God's proclaimed as Lord of all creation, stronger than God's will for life, the endlessness of love and heaven's perfect changeless consistency and constancy. Here is the will of Father and Son defeated finally, and laid to rest beneath the headstone death has placed upon the body of the Holy Son of God. Unholy in defeat He has become what death would have Him be. His epitaph, which death itself has written, gives no name to Him, for He has passed to dust. It says but this, here lies a witness, God is dead, and this it writes again and still again, while all the while its worshipers agree, and kneeling down with foreheads to the ground, they whisper fearfully that it is so. It is impossible to worship death in any form and still select a few you would not cherish and would yet avoid while still believing in the rest, for death is total. Either all things die or else they live and cannot die, no compromise is possible, for here again we see an obvious position which we must accept if we be sane. What contradicts one thought entirely cannot be true unless its opposite is proven false. The idea of the death of God is so preposterous that even the insane have difficulty in believing it, for it implies that God once was alive and somehow perished, killed apparently by those who did not want Him to survive. Their stronger will could triumph over His, and so eternal life gave way to death, and with the Father died the Son as well. Death's worshipers may be afraid, and yet can thoughts like these be fearful? If they saw that it is only this which they believe they would be instantly released, and you will show them this today, there is no death, and we renounce it now in every form for their salvation in our own as well. God made not death. Whatever form it takes must therefore be illusion. This is the stand we take today, and it has given us to look past death and see the life beyond. Our Father, bless our eyes today. We are Your messengers, and we would look upon the glorious reflection of Your love which shines in everything. We live and move in You alone. We are not separate from Your eternal life. There is no death, for death is not Your will, and we abide where You have placed us. In the life we share with You, and with all living things, to be like You, and part of You forever. We accept Your thoughts as ours, and our will is one with Yours eternally. Amen.


You know OG Percy. I watched the video that he made about me. What did he say?   It's okay. So now that's even more of a Crip. So he really, pretty much, he gave you your approval. That's my initial, that's my extra initiation right there. I'm already a regular Crip.  Biggest thing I keep seeing on the internet is you the first openly gay rapper that's a Crip. Yes, that's absolutely 100%, 1,000 correct.  Yeah, but it's a bunch of them and some of them not open though. You know what I'm saying? But it's definitely a bunch of them, but I'm just trying to understand the Crip part. You know what I'm saying? The Crip part. Like part of C, I'm a gangster rapper.  You got Saucy Santana, he ain't no gangster. You got Lil Nas, he ain't no gangster. I'm a gangster. So that's the difference with me and all these other rappers. So it makes you a gangster. Cause I used to be, well no, I'm a Crip and I grew up on the South side. But I'm trying, did you get jumped in or swore in? How did we know you were a Fischer? Okay, so I grew up on the South side and I used to hang around with all these different Crips. And we became friends.    And plus I was both.  You didn't actually, you had to go through initiation. I didn't actually, I'm special. So I didn't have to go through certain rituals or whatever to get initiated in.  And now I'm a Crip. That's just that, you know?  I say I'm a Crip. Oh, I got it. I say I'm a Crip and they know I'm a Crip. Yes. You gon' know it because I'm from the South side. All you gotta do is just be born. It's just like being born into something. If you're born into the family, your last name is weird, born on the South side. It's a bunch of Crips on the South side. So now I'm a Crip just because I was born on the South side. Okay, that's the thing. When I think about Crips in Fort Worth, the one that's really the most known person is OG Percy. And he said it was okay. And he made a video about me and said it's okay. Do you know OG Percy? I watched the video that he made about me. What do you say?   It's okay. So now that's even more a Crip. So he really pretty much, he gave you your approval, Cal. That's my initial, that's my extra initiation right there. I'm already a regular Crip. Now I'm a super Crip just because he didn't say that I could be a Crip.  So that make me even better, you know, now I'm a Crip for real. When he said that, oh, I'd be going right here, bang. So he really kind of helped promote your Cripism. Yes, that's it. But see the thing about it is like, But I got a question, hold on, hold on, hug. Go ahead.  Okay, so the way that the world looks at, you know, being a gangsta, being a Crip and stuff like that, but blood, say that. First of all, the way the world look at it is you gotta have been a jail so many times. Been shot at, then shot stuff, then dead fits, then sold drugs and stuff like that. See me, I done did, I done been in jail. A lot of times I done been shot, I done been in shootouts. Half, you know, I might not look like it. And you shot at people. Now I did not have a gun, but I got shot at. And they shot all my windows out. So that, and I was in the car and I survived. That makes me even more of a Crip against it because I was, you know, I survived that. Like, when you go through stuff like that and when you make it out alive, that just make you even more gangsta. Cause you just, first of all, I didn't even have a gun. And I'm a Crip still against the other people. So that make me just even more better. How you gonna be against people?  Because that made me even more powerful the fact that I'm up here having a shootout with people and I don't even have no gun. That made me even more gangsta than all the people that didn't been in shootouts with guns. And I didn't even have no gun. That made me a Crip. So, I don't, okay. But OG Percy say that it's okay. It's okay. And you say because OG Percy, second emotion there on your Cripism. Yes, he second that. So that mean it really influenced you to say, I know I'm Crippin'.  Yes. Now I'm even more big dog now because he didn't say it there. So it's okay. It's like he didn't kind of put me in in a way even more than I already was.  Now, yeah.  No, I wasn't in. You kicked in a dog. Yes. With my home girl. What? Yes. Both of y'all kicked in together. She, okay. When we got to the dog, we kicked in the dog, but it automatically opened cause it was already open. It was like, it was already open. So we just kicked it. And we went in. We went in. It was, it was an old friend or whatever. You know, this was when I was younger. It was me and my home girl. We kicked in the dog. The dog was unlocked, but we kicked it though. So that makes it a kick though. I had on black forces. So I went in that motherfucker. And my home girl stole his iPad. He had like a whole bunch of change on the dress. So I took a empty Dorita bag and I scooped all the change into Dorita bag. I took it to a sack. This was a long time ago back when sack and say was open on the South side. Took it to the sack, say to the corn machine, put all the change in there. I got a hundred dollars worth of coins. And it was, it was lit.  But I had a question. So all of the, because I'm still on this jumping because I personally, I've never been a gang. Don't know anything about that. But I always assume that you have to be, you have to be a part.  Absolutely. Do you know other people who are big in the Crip industry that have never been jumped in? You say Percy. That has never, he's never been jumped in. So let me explain this. So the fact that he just sold that nigga, you don't have to get jumped in. You just, I already proved your point just because of the person that you are.  So just the fact that you that, that make you a Crip automatically. Me born on South side Crip. Say everybody born in South side is a Crip. My granny's a Crip. That's not my blue leggings. That's all you need. Bouncing, you cuss. We have to see the bouts. All right, cut.  Your grandma be Crippin'? Yes. She was born on South side. How do you know she still is Crippin'? She's still on the South side, bang Crip.  You ain't got no blue right now? I do, it's blue little bits and pieces of blue. Little bits and blue.  Yes. And her car blue and her momma used to Crip too.


If I can't get this out of my pocket, there'll be a long pause. Well, ladies and gentlemen, and honored guests, thank you for joining us today. And may I say to Margaret Truman Daniel that it's good to have you back in this house in which you lived. And we thank you and your husband, Clifton Daniel, and your sons for adding to this occasion by your presence. We have some other honored guests here today, some old friends who served on the staff of the Truman White House. We even have some current members of the White House staff who served under President Truman. And I think they all deserve a round of applause. We are here today to honor Harry S. Truman. A long century has passed since he was born a hundred years ago today, but he's still a vital presence. He lives on in the American consciousness. He is a shared memory. Harry Truman and the pearl gray Stetson and the light gray suit and the round rim glasses and the walking stick. Harry Truman on his morning stroll, the brisk cadence of his walk matched by the blunt rhythm of his speech.  Little Harry, some people called him when he first took Roosevelt's place. Little man they called him the day FDR died. Funny that Little Harry looms so large in our memories. He was in many ways the quintessential American. He was a patriot. He loved his country. He was an unpretentious man who esteemed common sense and common wisdom. And he was most American in this. Embedded in his heart like a piece of gold was a faith that said that the ideals that shaped this country are enduring, that they're continually reborn as we live our lives every day. One said a White House luncheon very much like this one. A big lunch with the leaders of his party in attendance. Harry Truman was criticized for one of the many good but controversial things that he'd done. He had recently put forward a ten point plan to outlaw racial segregation. And a Democratic committee woman from Alabama stood up and said, Mr. President, I want to take a message back to the South. Can I tell them you're not ramming miscegenation down our throats? Harry Truman looked at her and then he recited the Bill of Rights. And when he was done he said, I'm everybody's president. I take back nothing of what I propose and I make no excuse for it. A White House waiter became so excited listening to the argument that he accidentally knocked a cup of coffee out of the president's hands. He was born in the center of the continent. Lamar, Missouri was farm country and as a young man, Harry worked the family farm. It was a hard life up at the first light working the fields. But there must have been a part of Harry Truman that even then was working on silent dreams. The summer of 1912 he kept stomping his plow and walking into town to go to the telegraph office to keep up with what was happening at the Democratic Convention. He had great hopes for Woodrow Wilson. He left the farm to fight in the First World War. And a month after he landed in France they made him a captain and put him in charge of a battery that had already broken four commanders. Captain Truman called the sergeants and corporals together and said, it's not my job to get along with you. It's your job to get along with me. And let me know if you don't think you can so I can bust you back right now. They knew they had a leader. They adored Captain Harry for the rest of their lives. And many of them were still writing to him when he lived in this house. When he returned to the states he made what I suspect he would call the most important decision of his life. He married his beloved best. She was in the deepest sense his soulmate as Margaret was his joy. He opened a haberdashery in Kansas City, did well for a while and then lost everything. He refused to declare bankruptcy and spent the next 15 years working off his debts. Harry Truman's life found his true purpose when he went into politics. History records his first political job. He was appointed postmaster of Grandview, Missouri. But he passed the job on to a widow who needed the money. On the day he became president he said, I felt like the moon, the stars, and all the planets had fallen on me and in a way they had. History handed in the toughest of all tasks to explain to his troubled countrymen that all their efforts in four years of war had not assured the victory of freedom, that the struggle against totalitarianism would have to continue, and that the victories would not be as clear cut as those of World War II and the battle lines would keep moving. He led the fight to save Greece, which was threatened by a vicious communist takeover attempt. He saved Berlin, which Stalin threatened to starve, encircle, and squeeze to death. He saved South Korea when it was threatened by communist expansionism. He tried to protect the West. He protected it wherever he had to. He was often criticized for his decisions, and he was sometimes alone. Later, after listening to attacks on what was called trumanism, he took to his diary and wrote, Let us define trumanism. We have built up our armed forces. We prevented Tito from taking Trieste. We forced Stalin out of Iran. We saved Greece and Turkey. We stayed in Berlin. We knocked the sox off the communists in Korea. We gave the Philippines free government, and we gave Puerto Rico home rule. If that's trumanism, I confess I'm proud to have my name attached to it. He could have added that he showed the world the depth of America's commitment to freedom when he started NATO. He could have added that when the war was over, he and General Marshall considered the burnt-out rubble of Europe and put together a plan to put our former allies and our former enemies back on their feet. And the Marshall Plan saved Europe. It was in its way the most stunning act of American idealism since Lincoln declared his policy of malice toward none and charity for all. And you have to go back to grant-telling Lee to keep his sword to find another such moment of American grace. None of his decisions were made without cost. By 1948, the joke of the day was, to err is truman. Sam Dewey was picking his cabinet. At the Democratic Convention, they carried signs that said, we're just mild about Harry. Even the symbolism was against him. When he walked into the convention hall, they released 50 doves that had been hidden under a liberty bell as a symbol of peace. The doves were weak from the heat and the long confinement. The first one fell dead to the floor. Another, circled frantically looking for a landing place, a safe place, finally spotted a smooth and shiny perch and it was Sam Rayburn's head. Truman recounted the scene for years and couldn't control his laughter. Harry Truman won the nomination and went to the people on a whistle-stop tour, going from point to point throughout the country and bringing his message, explaining what he was doing and why and how the Congress was thwarting his efforts. Everyone knew he'd lose. The commentators said so and the polls and the politicians. But a funny thing happened. Everywhere his train went, the people went, thronging the platforms and spilling onto the grass and the sidewalks. They cheered him on. Give him hell, Harry, they'd say. Pour it on. And Truman said, I never give him hell. I just tell the truth and they think it's hell. I have, if you'll permit me, a personal recollection. I was in California and I was just a Hollywood character at the time and he came to Hollywood to speak at an outdoor rally in one of those dirt tracks for the midget automobile races that were so popular at the time. And Georgie Gessel, whom I believe my memory is correct, it was Harry Truman had named him as the Toastmaster General of the United States and I rode in the open car to that meeting in the backseat with President Truman. Open car. Those were a different time than they are today. But I remember on the way over, he and Gessel had known each other for quite some time and George was asking him because this was when all the talk was going of how he was conducting a lost cause. And George asked him about the election. And I shall never forget that not as a kind of a campaign declaration or anything else, just very quietly, Harry Truman said, George, I'm going to win. He said, I've been out and across the country and he said, believe me, I'm going to win re-election. And I had occasion to remember that a few months later. Election night, the returns came in and when it was over, Harry Truman had won by 2 million votes. He held aloft a newspaper headline, smiled his great smile and gave us a picture we'll never forget because there just aren't that many photographs of greatness triumphant. Well, that's the way a lot of us remember him and that's where I'll end my remarks. But I ask you to join me in a toast to his memory. 100 years ago today was born Harry S. Truman, first child and eldest son of John and Martha Truman of Independence, Missouri. He was a great man, a patriot, an idealist and the understood the world. May the heartland of this country ever yield his kind. How may I say one more thing from my heart? I have lauded Harry Truman for his profound resolve to stop communist expansionism and for trying to protect the freedom of the West. May I say that in this effort, he received the essential support of a Congress that understood that freedom is not negotiable and the only response to expansionism is bipartisan agreement to stop it and in those days, Democrats and Republicans alike were united in their opposition to tyranny. And seeing this unity, the Soviet Union was forced to back down. The bipartisan spirit is still desperately needed in our times to face challenges to freedom ever closer to home and I pray that it is still awake and will prevail. Thank you all very much.


I now tend to think that we will get something back, which I know goes against everything that I said before, but just because I don't know. There's just, you know, there's there's been talk of it So I do think now that we will get something back. But yeah, what that will be I've no idea. I've no idea. I mean, I would say I would say A minimum of three points and anything up to 10 Yeah, I mean and who knows and given the logic which has been employed so far to actually get us to this Shit show anyway, you know, they'll probably kind of say, oh, it's seven based on what I don't know That's the thing is that based on what for this and three for that. Yeah. Yeah. Yeah. I mean, who knows