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.

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Autor

Michael Kennedy

Kategoria

Technology

Strona podcastu

talkpython.fm

Ostatni odcinek

10 lip 2026

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Odcinki

#279: Modern Python Developer's Toolkit 29.08.2020

See the full show notes for this episode on the website at talkpython.fm/279

#278: Teach kids Python with real programming and fun games at Code Combat 21.08.2020

See the full show notes for this episode on the website at talkpython.fm/278

#277: 10 tips every Django developer should know 10.08.2020

See the full show notes for this episode on the website at talkpython.fm/277

#276: Geekout: Life in the solar system and beyond 06.08.2020

See the full show notes for this episode on the website at talkpython.fm/276

#275: Beautiful Pythonic Refactorings 01.08.2020

See the full show notes for this episode on the website at talkpython.fm/275

#274: Profiling data science code with FIL 24.07.2020

See the full show notes for this episode on the website at talkpython.fm/274

#273: CoCalc: A fully colloborative notebook development environment 18.07.2020

See the full show notes for this episode on the website at talkpython.fm/273

#272: No IoT things in hand? Simulate them with Device Simulator Express 12.07.2020

See the full show notes for this episode on the website at talkpython.fm/272

#271: Unlock the mysteries of time, Python's datetime that is! 04.07.2020

See the full show notes for this episode on the website at talkpython.fm/271

#270: Python in supply chains: oil rigs, rockets, and lettuce 25.06.2020

See the full show notes for this episode on the website at talkpython.fm/270

#269: HoloViz - a suite of tools for Python visualization 19.06.2020

See the full show notes for this episode on the website at talkpython.fm/269

#268: Analyzing dozens of notebook environments 13.06.2020

See the full show notes for this episode on the website at talkpython.fm/268

#267: 15 amazing pytest plugins 06.06.2020

See the full show notes for this episode on the website at talkpython.fm/267

#266: Refactoring your code, like magic with Sourcery 29.05.2020

See the full show notes for this episode on the website at talkpython.fm/266

#265: Why is Python slow? 19.05.2020

See the full show notes for this episode on the website at talkpython.fm/265

#264: 10 tips every Flask developer should know 12.05.2020

See the full show notes for this episode on the website at talkpython.fm/264

#263: SEO for developers 06.05.2020

See the full show notes for this episode on the website at talkpython.fm/263

#262: Build a career in data science 01.05.2020

See the full show notes for this episode on the website at talkpython.fm/262

#261: Monitoring and auditing machine learning 25.04.2020

See the full show notes for this episode on the website at talkpython.fm/261

#260: From basic script to interactive data sci app with Streamlit 18.04.2020

See the full show notes for this episode on the website at talkpython.fm/260

#259: From Academia to Tech Industry and Python 09.04.2020

See the full show notes for this episode on the website at talkpython.fm/259

#258: Thriving in a remote developer environment 04.04.2020

See the full show notes for this episode on the website at talkpython.fm/258

#257: Exploring the galaxy with the fastest supercomputer, Python, and radio astronomy 28.03.2020

See the full show notes for this episode on the website at talkpython.fm/257

#256: Click to run your notebook with Binder 20.03.2020

See the full show notes for this episode on the website at talkpython.fm/256

#255: Talking to cars with Python 14.03.2020

See the full show notes for this episode on the website at talkpython.fm/255

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