Python Bytes

Sponsored by Datadog: pythonbytes.fm/datadog Special guest: Hannah Stepanek Watch on YouTube Michael #1: We Downloaded 10,000,000 Jupyter Notebooks From Github – This Is What We Learned by Alena Guzharina from JetBrains Used the hundreds of thousands of publicly accessible repos on GitHub to learn more about the current state of data science. I think it’s inspired by work showcased here on Talk Python. 2 years ago there were 1,230,000 Jupyter Notebooks published on GitHub. By October 2020 this number had grown 8 times, and we were able to download 9,720,000 notebooks. 8x growth. Despite the rapid growth in popularity of R and Julia in recent years, Python still remains the most commonly used language for writing code in Jupyter Notebooks by an enormous margin. Python 2 went from 53% → 11% in the last two years. Interesting graphs about package usage Not all notebooks are story telling with code: 50% of notebooks contain fewer than 4 Markdown cells and more than 66 code cells. Although there are some out