How many episodes does Talk Python To Me have?

Talk Python To Me has 817 episodes.

What topics does Talk Python To Me cover?

Talk Python To Me covers topics including: technology.

Talk Python To Me

EN-US817 episodes

technology

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 o...

Episodes (817)

#461: Python in Neuroscience and Academic Labs

Talk Python To Me

May 9, 20241:03:37pending

#460: Dropbase: Build Internal Tools with Python

Talk Python To Me

May 2, 202452:29pending

#459: I Built A Python SaaS with AI

Talk Python To Me

Apr 27, 202455:06pending

Talk Python To Me

Episodes (817)

#461: Python in Neuroscience and Academic Labs

#460: Dropbase: Build Internal Tools with Python

#459: I Built A Python SaaS with AI

#458: Serverless Python in 2024

#457: Software Supply Chain Security with Phylum

#456: Building GPT Actions with FastAPI and Pydantic

#455: Land Your First Data Job

#454: Data Pipelines with Dagster

#453: uv - The Next Evolution in Python Packages?

#452: Top Quart (async Flask) Extensions

#451: Djangonauts, Ready for Blast-Off

#450: Versioning Web APIs in Python

#449: Building UIs in Python with FastUI

#448: Full-Time Open Source Devs Panel

#447: Parallel Python Apps with Sub Interpreters

#446: Python in Excel

#445: Inside Azure Data Centers with Mark Russinovich

#444: The Young Coder's Blueprint to Success

#443: Python Bytes Crossover 2023

#442: Ultra High Speed Message Parsing with msgspec

#441: Python = Syntactic Sugar?

#440: Talking to Notebooks with Jupyter AI

#439: Pixi, A Fast Package Manager

#438: Celebrating JupyterLab 4 and Jupyter 7 Releases

#437: HTMX for Django Developers (And All of Us)

#436: An Unbiased Evaluation of Environment and Packaging Tools

#435: PyPI Security

#434: Building Mobile Apps Backed with Python

#433: Litestar: Effortlessly Build Performant APIs

#432: Migrating to Pydantic 2.0: Beanie for MongoDB

#431: Visualizing CPython Release Process

#430: Delightful Machine Learning Apps with Gradio

#429: Taming Flaky Tests

#428: Django Trends in 2023

#427: 10 Tips and Ideas for the Beginner to Expert Python Journey

#426: What's New in PyScript [August 2023]

#425: Memray: The endgame Python memory profiler

#424: Shiny for Python

#423: Solving 10 different simulation problems with Python

#422: How data scientists use Python

#421: Python at Netflix

#420: Database Consistency & Isolation for Python Devs

#419: Debugging Python in Production with PyStack

#418: How To Keep A Secret in Python Apps

#417: Test-Driven Prompt Engineering for LLMs with Promptimize

#416: Open Source Sports Analytics with PySport

#415: Future of Pydantic and FastAPI

#414: A Stroll Down Startup Lane

#413: Live from PyCon 2023

#412: PEP 711 - Distributing Python Binaries