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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#99: Morepath: Super Powered Python Web Framework
See the full show notes for this episode on the website at talkpython.fm/99.
#98: Adding concurrency to Django with Django Channels
See the full show notes for this episode on the website at talkpython.fm/98.
#97: Flask, Django style with Flask-Diamond
See the full show notes for this episode on the website at talkpython.fm/97.
#96: Exploring Awesome Python
See the full show notes for this episode on the website at talkpython.fm/96.
#95: Grumpy: Running Python on Go
See the full show notes for this episode on the website at talkpython.fm/95.
#94: Guarenteed packages via Conda and Conda-Forge
See the full show notes for this episode on the website at talkpython.fm/94.
#93: Spreading Python through the sciences with Software Carpentry
See the full show notes for this episode on the website at talkpython.fm/93.
#92: Bonus: Python Bytes Crossover: Python 3.6 is going to be awesome, Kite: your friendly co-developing AI
See the full show notes for this episode on the website at talkpython.fm/92.
#91: Top 10 Data Science Stories of 2016
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#90: Data Wrangling with Python
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#89: A conversation with the Chief Data Scientist of the United States
See the full show notes for this episode on the website at talkpython.fm/89.
#88: Lightweight Django
See the full show notes for this episode on the website at talkpython.fm/88.
#87: PonyORM: The most Pythonic ORM yet?
See the full show notes for this episode on the website at talkpython.fm/87.
#86: Python at StackOverflow
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#85: Parsing horrible things with Python
See the full show notes for this episode on the website at talkpython.fm/85.