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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#302: The Data Engineering Landscape in 2021
See the full show notes for this episode on the website at talkpython.fm/302.
#301: Deploying and running Django web apps in 2021
See the full show notes for this episode on the website at talkpython.fm/301.
#300: Building a data science startup (panel)
See the full show notes for this episode on the website at talkpython.fm/300.
#299: Personal search engine with datasette and dogsheep
See the full show notes for this episode on the website at talkpython.fm/299.
#298: Building ML teams and finding ML jobs
See the full show notes for this episode on the website at talkpython.fm/298.
#297: Python year in review (2020 edition)
See the full show notes for this episode on the website at talkpython.fm/297.
#296: Python in F1 racing
See the full show notes for this episode on the website at talkpython.fm/296.
#295: GIS + Python
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#294: oso authorizes Python
See the full show notes for this episode on the website at talkpython.fm/294.
#293: Learning how to learn as a developer
See the full show notes for this episode on the website at talkpython.fm/293.
#292: Pythonic identity (auth in Python ecosystem)
See the full show notes for this episode on the website at talkpython.fm/292.
#291: Operational Resilience with Pyomo
See the full show notes for this episode on the website at talkpython.fm/291.
#290: Side Hustles for Data Scientists
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#289: Discovering exoplanets with Python
See the full show notes for this episode on the website at talkpython.fm/289.
#288: 10 tips to move from Excel to Python
See the full show notes for this episode on the website at talkpython.fm/288.