Webinar Recording: “Python Data Science with pandas” with Matt Harrison

Paul Everitt

We’ve done a lot of webinars, but embarrassingly, never one on Python data science. Until Tuesday, when author and speaker Matt Harrison joined us for what turned out to be the highest-registration webinar PyCharm has had. The recording for Matt’s “Python Data Science with pandas” is now available.

https://youtu.be/ikOEn8jY2Is

Matt provided an introduction to data science and pandas for Python developers new to the topic. He started in Jupyter then moved to PyCharm, taking a ton of questions along the way.

• 03:34 Introduction to Jupyter
• 06:43 pandas and matplotlib
• 08:20 Read/view bitcoin csv data
• 12:24 Setting index
• 15:00 Aggregation
• 17:10 Slicing
• 18:40 Computed columns with assign
• 21:30 Questions
• 33:10 Random forest
• 40:00 ROC Curve
• 42:55 PyCharm
• 49:20 Questions

We clearly need to invite Matt back for deeper dives on the topics.

Matt will put some material in a repo in his GitHub account. Feel free to ask any questions below and we’ll answer or ask Matt to leave a comment.

-PyCharm Team-
The Drive to Develop

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