Are you using Polars for your data science work? Maybe you've been sticking with the tried-and-true Pandas? There are many benefits to Polars directly of course. But you might not be aware of all the excellent tools and libraries that make Polars even better. Examples include Patito which combines Pydantic and Polars for data validation and polars_encryption which adds AES encryption to selected columns. We have Christopher Trudeau back on Talk Python To Me to tell us about his list of excellent libraries to power up your Polars game and we also talk a bit about his new Polars course.
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If you're doing data science and have mostly spent your time doing exploratory or just local development, this could be the episode for you. We are joined by Catherine Nelson to discuss techniques and tools to move your data science game from local notebooks to full-on production workflows.
Do you like to dive into the details and intricacies of how Python executes and how we can optimize it? Well, do I have an episode for you. We welcome back Brandt Bucher to give us an update on the upcoming JIT compiler for Python and why it differs from JITs for languages such as C# and Java.
Why do people list to this podcast? Sure, they're looking for technical explorations of new libraries and ideas. But often it's to hear the story behind them. If that speaks to you, then I have the perfect episode lined up. I have Barry Warsaw, Paul Everitt, Carol Willing, and Brett Cannon all back on the show to share stories from the history of Python. You'll hear about how import this came to be and how the first PyCon had around 30 attendees (two of whom are guests on this episode!). Sit back and enjoy the humorous stories from Python's past.
Never missing outI can keep myself up to date with newest tools and things that come up within the Python ecosystem, and sometimes beyond! The insights I get from the guests are invaluable. Michael always makes sure to elucidate the topic-specific jargons in human terms.
Required listeningVery substantive, polished podcast. Michael is the ideal interviewer: deeply knowledgeable and prepared, but knows how to get out of the way and let his guests dominate the conversation. Absolutely required listening for all Pythoneers IMO.
Exceptional for those new to PythonThe podcast has been a wealth of information and has positively contributed to my efforts to learn Python. Michael interviews a great cross-section of people using Python. The biggest benefit for me has been the exposure to the various libraries and seeing the multitude of areas that I can use Python. Frankly, the podcast this the best way I've found to augment the training videos, documentation, and books I've used to learn the language.
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.
The format is a casual 1-hour conversation with industry
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