In this article we review last week’s Analyze Olympic Games Data With Pandas code challenge.
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Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.
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Hey Pythonistas, a new week, a new Python code challenge! This week you can use Python, Pandas and all the libraries you need to analyze the data of Olympic Games and find out interesting things and present them to everyone with Matpolib, Seaborn and/or Plotly.
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In this article we review last week’s Calculate the Duration of a Directory of Audio Files code challenge.
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Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.
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Hi Pythonistas, Welcome to Pybites Code Challenge 56! In this challenge we’re asking you to work with directory, files and audio meta data!
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In this article we review last week’s #100DaysOfCode Curriculum Generator code challenge.
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Every weekend we share a curated list of 15 cool things (mostly Python) that we found / tweeted throughout the week.
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I wanted to play around with a dataset and see what I could find out about it. I decided on analyzing the little bit of data that I could collect from Github without having to use an OAuth key, which limits it to just 300 events. If you want to follow along with my notebook check out the instructions here. This notebook was my submission for Code Challenge 47 – PyBites First Year in Data (Special).
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Hi Pythonistas, Welcome to Pybites Code Challenge 55! In this challenge we’re asking that you create your own #100DaysOfCode Curriculum Generator.