Programming: Data Science, David Pena and GSoC
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Analyzing covid-19 data with pandas and matplotlib
Some time ago, I was talking to Martin on the Pybites Slack about a challenge that involved the pandas library.
I never really looked at data analysis, but triggered to complete the challenge ahead, I dove into the library and immediately noticed how strong it was to manage large data collections.
Throughout this article we'll have a basic look at collecting data to handle with pandas, normalizing it so that it becomes more representative, and I'll have a small stop at Jupyter notebooks.
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Introduction to Python for Data Science
Recently, we published an introduction to data science in R for the beginner in programming. This is a complementary article written using the same approach, but this time focusing on Python, which is another open source programming language.
Python has an even larger following than R, so both articles should get the beginner up to speed in the two main languages for doing data science. The differences in the tutorials highlight how R and Python tackle the same task. Often it is your own experience, and the data science task that you want to do, that determines which language to choose.
The tutorial requires some basic knowledge of Linux, but other than that we shall go through the steps to set up the tutorial.
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PyDev of the Week: Dr. David Pena
This week we welcome Dr. David Pena as our PyDev of the Week! David is the author of StremeCoder, a Graphical Python Programming Editor.
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PSF GSoC students blogs: Fourth Check-In
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PSF GSoC students blogs: Week 4 (belated)
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PSF GSoC students blogs: Week 5
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PSF GSoC students blogs: Week 6 : Refining the KML UI Features
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PSF GSoC students blogs: Weekly Check-In #4 (5th Jul - 12th Jul)
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PSF GSoC students blogs: Weekly Check-In: Week 7
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