Michael Kennedy
Talk Python To Me
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.
Author
Michael Kennedy
Category
Podcast website
Latest episode
Jul 10, 2026
Where to listen?
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Episodes
#102: Effective Code Reviews 08.03.2017 50:52
See the full show notes for this episode on the website at talkpython.fm/102
#101: Adding a full featured Python environment to Visual Studio Code 03.03.2017 55:11
See the full show notes for this episode on the website at talkpython.fm/101
#100: Python past, present, and future with Guido van Rossum 22.02.2017 1:02:33
See the full show notes for this episode on the website at talkpython.fm/100
#99: Morepath: Super Powered Python Web Framework 15.02.2017 1:04:52
See the full show notes for this episode on the website at talkpython.fm/99
#98: Adding concurrency to Django with Django Channels 08.02.2017 1:05:14
See the full show notes for this episode on the website at talkpython.fm/98
#97: Flask, Django style with Flask-Diamond 02.02.2017 1:05:03
See the full show notes for this episode on the website at talkpython.fm/97
#96: Exploring Awesome Python 25.01.2017 52:20
See the full show notes for this episode on the website at talkpython.fm/96
#95: Grumpy: Running Python on Go 18.01.2017 52:09
See the full show notes for this episode on the website at talkpython.fm/95
#94: Guarenteed packages via Conda and Conda-Forge 11.01.2017 46:31
See the full show notes for this episode on the website at talkpython.fm/94
#93: Spreading Python through the sciences with Software Carpentry 03.01.2017 1:01:34
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 29.12.2016 21:00
See the full show notes for this episode on the website at talkpython.fm/92
#91: Top 10 Data Science Stories of 2016 27.12.2016 1:07:34
See the full show notes for this episode on the website at talkpython.fm/91
#90: Data Wrangling with Python 21.12.2016 1:01:35
See the full show notes for this episode on the website at talkpython.fm/90
#89: A conversation with the Chief Data Scientist of the United States 15.12.2016 52:39
See the full show notes for this episode on the website at talkpython.fm/89
#88: Lightweight Django 06.12.2016 59:58
See the full show notes for this episode on the website at talkpython.fm/88
#87: PonyORM: The most Pythonic ORM yet? 29.11.2016 56:29
See the full show notes for this episode on the website at talkpython.fm/87
#86: Python at StackOverflow 24.11.2016 1:10:21
See the full show notes for this episode on the website at talkpython.fm/86
#85: Parsing horrible things with Python 17.11.2016 59:46
See the full show notes for this episode on the website at talkpython.fm/85
#84: Are we failing to fund Python's core infrastructure? 08.11.2016 1:05:27
See the full show notes for this episode on the website at talkpython.fm/84
#83: Python Videos on Demand at PyVideo 02.11.2016 53:26
See the full show notes for this episode on the website at talkpython.fm/83
#82: Grokking Algorithms in Python 27.10.2016 58:45
See the full show notes for this episode on the website at talkpython.fm/82
#81: Python and Machine Learning in Astronomy 21.10.2016 1:02:13
See the full show notes for this episode on the website at talkpython.fm/81
#80: TinyDB: A tiny document db written in Python 16.10.2016 47:01
See the full show notes for this episode on the website at talkpython.fm/80
#79: Beeware Python Tools 07.10.2016 1:22:14
See the full show notes for this episode on the website at talkpython.fm/79
#78: How I built an entire game and toolchain 100% in Python 28.09.2016 53:26
See the full show notes for this episode on the website at talkpython.fm/78
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