Day: January 6, 2021

How to merge data in Python using Pandas merge

In December 2019 my InfoWorld colleague Sharon Machlis wrote an article called “How to merge data in R using R merge, dplyr, or data.table.” Sharon is a whiz at R programming, and analytics in general, which comes through in the article. But suppose you’re planning on doing machine learning or deep learning on the data using Python and (for example) Scikit-learn, PyTorch, or TensorFlow? While it’s possible to pass data from R to Python, it’s not the best solution to the problem.

In this article, I’ll discuss how to accomplish data merging natively in

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A beginner’s guide to data visualization with Python and Seaborn

Data visualization is a technique that allows data scientists to convert raw data into charts and plots that generate valuable insights. Charts reduce the complexity of the data and make it easier to understand for any user.

There are many tools to perform data visualization, such as Tableau, Power BI, ChartBlocks, and more, which are no-code tools. They are very powerful tools, and they have their audience. However, when working with raw data that requires transformation and a good playground for data, Python is an excellent choice.

Though more complicated as it requires programming knowledge, Python allows you to perform

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