Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
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#201: Choosing JupyterHub and Python over MATLAB
See the full show notes for this episode on the website at talkpython.fm/201.
#200: Escaping Excel Hell with Python and Pandas
See the full show notes for this episode on the website at talkpython.fm/200.
#199: Automate all the things with Python at Zapier
See the full show notes for this episode on the website at talkpython.fm/199.
#198: Catching up with the Anaconda distribution
See the full show notes for this episode on the website at talkpython.fm/198.
#197: Modern Python Standard Library Cookbook
See the full show notes for this episode on the website at talkpython.fm/197.
#196: Datalore: Hosted smart notebooks
See the full show notes for this episode on the website at talkpython.fm/196.
#195: Teaching Python at Apple
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#194: Learning (and teaching) Python in a vacuum
See the full show notes for this episode on the website at talkpython.fm/194.
#193: Data Science Year in Review 2018 Edition
See the full show notes for this episode on the website at talkpython.fm/193.
#192: Python Year in Review 2018 Edition
See the full show notes for this episode on the website at talkpython.fm/192.
#191: Python's journey at Microsoft
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#190: Teaching Django
See the full show notes for this episode on the website at talkpython.fm/190.
#189: War Stories of the Developer Evangelists
See the full show notes for this episode on the website at talkpython.fm/189.
#188: Async for the Pythonic web with Sanic
See the full show notes for this episode on the website at talkpython.fm/188.
#187: Secure all the things with HubbleStack
See the full show notes for this episode on the website at talkpython.fm/187.