Talk Python To Me
#511: From Notebooks to Production Data Science Systems
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 jo...
#510: 10 Polars Tools and Techniques To Level Up Your Data Science
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...
#509: GPU Programming in Pure Python
If you're looking to leverage the insane power of modern GPUs for data science and ML, you might think you'll need to use some low-level programming l...
#508: Program Your Own Computer with Python
If you've heard the phrase "Automate the boring things" for Python, this episode starts with that idea and takes it to another level. We have Glyph ba...
#507: Agentic AI Workflows with LangGraph
If you want to leverage the power of LLMs in your Python apps, you would be wise to consider an agentic framework. Agentic empowers the LLMs to use to...
#506: ty: Astral's New Type Checker (Formerly Red-Knot)
The folks over at Astral have made some big-time impacts in the Python space with uv and ruff. They are back with another amazing project named ty. Yo...
#505: t-strings in Python (PEP 750)
Python has many string formatting styles which have been added to the language over the years. Early Python used the % operator to injected formatted ...
#504: Developer Trends in 2025
What trends and technologies should you be paying attention to today? Are there hot new database servers you should check out? Or will that just be a ...
#503: The PyArrow Revolution
Pandas is at a the core of virtually all data science done in Python, that is virtually all data science. Since it's beginning, Pandas has been based ...
#502: Django Ledger: Accounting with Python
Do you or your company need accounting software? Well, there are plenty of SaaS products out there that you can give your data to. but maybe you also ...