Synopsis
Talk Python to Me is a weekly podcast hosted by Michael Kennedy. The show covers a wide array of Python topics as well as many related topics (e.g. MongoDB, AngularJS, DevOps).The format is a casual 45 minute conversation with industry experts.
Episodes
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![#248: Climate change and your Python code]()
#248: Climate change and your Python code
24/01/2020 Duration: 01h16minSee the full show notes for this episode on the website at talkpython.fm/248.
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![#247: Solo maintainer of open-source in academia]()
#247: Solo maintainer of open-source in academia
16/01/2020 Duration: 01h05minSee the full show notes for this episode on the website at talkpython.fm/247.
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![#246: Practices of the Python Pro]()
#246: Practices of the Python Pro
09/01/2020 Duration: 01h04minSee the full show notes for this episode on the website at talkpython.fm/246.
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![#245: Python packaging landscape in 2020]()
#245: Python packaging landscape in 2020
03/01/2020 Duration: 01h01minSee the full show notes for this episode on the website at talkpython.fm/245.
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![#244: Top 10 Real Python Articles of 2019]()
#244: Top 10 Real Python Articles of 2019
27/12/2019 Duration: 59minSee the full show notes for this episode on the website at talkpython.fm/244.
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![#243: Python on Windows is OK, actually]()
#243: Python on Windows is OK, actually
17/12/2019 Duration: 57minSee the full show notes for this episode on the website at talkpython.fm/243.
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![#242: Your education will be live-streamed]()
#242: Your education will be live-streamed
11/12/2019 Duration: 54minSee the full show notes for this episode on the website at talkpython.fm/242.
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![#241: Opal: Full stack health care apps]()
#241: Opal: Full stack health care apps
07/12/2019 Duration: 53minSee the full show notes for this episode on the website at talkpython.fm/241.
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![#240: A guided tour of the CPython source code]()
#240: A guided tour of the CPython source code
27/11/2019 Duration: 01h25sSee the full show notes for this episode on the website at talkpython.fm/240.
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![#239: Bayesian foundations]()
#239: Bayesian foundations
23/11/2019 Duration: 57minSee the full show notes for this episode on the website at talkpython.fm/239.
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![#237: A gut feeling about Python]()
#237: A gut feeling about Python
06/11/2019 Duration: 49minSee the full show notes for this episode on the website at talkpython.fm/237.
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![#236: Scaling data science across Python and R]()
#236: Scaling data science across Python and R
29/10/2019 Duration: 01h48sSee the full show notes for this episode on the website at talkpython.fm/236.
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![#235: Python in your Browser with Skulpt]()
#235: Python in your Browser with Skulpt
23/10/2019 Duration: 01h20sSee the full show notes for this episode on the website at talkpython.fm/235.
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![#234: Awesome Python Applications]()
#234: Awesome Python Applications
15/10/2019 Duration: 01h04minSee the full show notes for this episode on the website at talkpython.fm/234.
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![#233: The Masonite Python Web Framework]()
#233: The Masonite Python Web Framework
10/10/2019 Duration: 01h08minSee the full show notes for this episode on the website at talkpython.fm/233.
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![#232: Become a robot developer with Python]()
#232: Become a robot developer with Python
04/10/2019 Duration: 01h01minSee the full show notes for this episode on the website at talkpython.fm/232.
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![#231: Advice for freelancing with Python]()
#231: Advice for freelancing with Python
25/09/2019 Duration: 01h09minSee the full show notes for this episode on the website at talkpython.fm/231.
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![#230: Python in digital humanities research]()
#230: Python in digital humanities research
18/09/2019 Duration: 57minSee the full show notes for this episode on the website at talkpython.fm/230.
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![#229: Building advanced Pythonic interviews with docassemble]()
#229: Building advanced Pythonic interviews with docassemble
12/09/2019 Duration: 01h43sSee the full show notes for this episode on the website at talkpython.fm/229.
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![#228: Hunting bugs and tech startups with Python]()
#228: Hunting bugs and tech startups with Python
04/09/2019 Duration: 59minSee the full show notes for this episode on the website at talkpython.fm/228.
