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Cover: Talk Python To Me

Talk Python To Me

Talk Python To Me with Michael Kennedy. 566 episodes in the official feed, 582 hr 11 min of listening. Free official feed published by the creator.

Details

Length
566 episodes · 582 hr 11 min
Episodes
566
Language
English
Level
Lifelong
Feed
RSS
Source
Podcast
Rights
Free official feed published by the creator

Episodes

  1. #567: Personal AI Agents for Pythonistas 1:06:38
  2. #566: State of the art in Python 2026 1:05:13
  3. #565: Tachyon, Python 3.15's Built-in Sampling Profiler 1:27:46
  4. #564: EVE Online Departs for Python 3 1:07:52
  5. #563: Getting Started with Rust as Python Devs 1:10:50
  6. #562: DuckLake: The Lakehouse That's Just SQL and Parquet 1:11:09
  7. #561: TonIO, a Multi-threaded Async Runtime for Python 1:15:47
  8. #560: Building a Research OS: From Django to 30,000 Samples 1:02:49
  9. #559: 12 Things You Should (and Shouldn't) Do in AWS 1:07:51
  10. #558: Hyper-Personal Software with Python 1:02:13
  11. #557: Security of everything at PyCon 2026 1:08:00
  12. #556: Updates on Django's Async Story 1:04:56
  13. #555: Marimo Pair - A Canvas for Agent + Developers Collaboration 1:04:59
  14. #554: Trustworthy AI in Healthcare and Longevity 1:00:40
  15. #553: All of our tools 55:15
  16. #552: Astral joins OpenAI 1:05:08
  17. #551: Stroll Down Startup Lane - 2026 1:48:54
  18. #550: AI Contributions and Maintainer Load in Open Source 1:02:42
  19. #549: Great Docs 1:07:00
  20. #548: Event Sourcing Design Pattern 1:08:49
  21. #547: Parallel Python at Anyscale with Ray 59:16
  22. #546: Self hosting apps for Python people 1:03:12
  23. #545: OWASP Top 10 (2025 List) for Python Devs 1:06:03
  24. #544: Wheel Next + Packaging PEPs 1:11:17
  25. #543: Deep Agents: LangChain's SDK for Agents That Plan and Delegate 1:03:53
  26. #542: Zensical - a modern static site generator 1:04:03
  27. #541: Monty - Python in Rust for AI 1:05:44
  28. #540: Modern Python monorepo with uv and prek 1:02:13
  29. #539: Catching up with the Python Typing Council 1:01:41
  30. #538: Python in Digital Humanities 1:12:27
  31. #537: Datastar: Modern web dev, simplified 1:16:37
  32. #536: Fly inside FastAPI Cloud 1:07:00
  33. #535: PyView: Real-time Python Web Apps 1:07:56
  34. #534: diskcache: Your secret Python perf weapon 1:14:00
  35. #533: Web Frameworks in Prod by Their Creators 1:01:58
  36. #532: 2025 Python Year in Review 1:18:32
  37. #531: Talk Python in Production 1:21:13
  38. #530: anywidget: Jupyter Widgets made easy 1:11:21
  39. #529: Computer Science from Scratch 1:17:00
  40. #528: Python apps with LLM building blocks 1:16:46
  41. #527: MCP Servers for Python Devs 1:06:25
  42. #526: Building Data Science with Foundation LLM Models 1:07:24
  43. #525: NiceGUI Goes 3.0 1:17:46
  44. #524: 38 things Python developers should learn in 2025 1:09:15
  45. #523: Pyrefly: Fast, IDE-friendly typing for Python 1:07:00
  46. #522: Data Sci Tips and Tricks from CodeCut.ai 1:09:32
  47. #521: Red Teaming LLMs and GenAI with PyRIT 1:02:40
  48. #520: pyx - the other side of the uv coin (announcing pyx) 1:00:11
  49. #519: Data Science Cloud Lessons at Scale 1:02:56
  50. #518: Celebrating Django's 20th Birthday With Its Creators 1:08:13
  51. #517: Agentic Al Programming with Python 1:17:01
  52. #516: Accelerating Python Data Science at NVIDIA 1:05:42
  53. #515: Durable Python Execution with Temporal 1:10:54
  54. #514: Python Language Summit 2025 1:13:00
  55. #513: Stories from Python History 1:08:36
  56. #512: Building a JIT Compiler for CPython 1:08:18
  57. #511: From Notebooks to Production Data Science Systems 54:15
  58. #510: 10 Polars Tools and Techniques To Level Up Your Data Science 1:02:04
  59. #509: GPU Programming in Pure Python 57:29
  60. #508: Program Your Own Computer with Python 1:11:56
  61. #507: Agentic AI Workflows with LangGraph 1:03:59
  62. #506: ty: Astral's New Type Checker (Formerly Red-Knot) 1:04:19
  63. #505: t-strings in Python (PEP 750) 1:11:59
  64. #504: Developer Trends in 2025 1:09:53
  65. #503: The PyArrow Revolution 1:08:36
  66. #502: Django Ledger: Accounting with Python 1:03:38
  67. #501: Marimo - Reactive Notebooks for Python 1:00:35
  68. #500: Django Simple Deploy and other DevOps Things 57:34
  69. #499: BeeWare and the State of Python on Mobile 1:07:47
  70. #498: Algorithms for high performance terminal apps 1:08:16
  71. #497: Outlier Detection with Python 55:22
  72. #496: Scaf: Complete blueprint for new Python Kubernetes projects 1:19:34
  73. #495: OSMnx: Python and OpenStreetMap 1:01:55
  74. #494: Update on Flet: Python + Flutter UIs 1:00:23
  75. #493: Quarto: Open-source technical publishing 1:05:01
  76. #492: Great Tables 1:04:21
  77. #491: DuckDB and Python: Ducks and Snakes living together 1:02:03
  78. #490: Django Ninja 1:04:32
  79. #489: Anaconda Toolbox for Excel and more with Peter Wang 1:09:09
  80. #488: Multimodal data with LanceDB 58:19
  81. #487: Building Rust Extensions for Python 1:02:24
  82. #486: CSnakes: Embed Python code in .NET 1:02:45
  83. #485: Secure coding for Python with SheHacksPurple 1:09:28
  84. #484: From React to a Django+HTMX based stack 57:44
  85. #483: Reflex Framework: Frontend, Backend, Pure Python 1:03:05
  86. #482: Pre-commit Hooks for Python Devs 1:10:20
  87. #481: Python Opinions and Zeitgeist with Hynek 1:03:00
  88. #480: Ahoy, Narwhals are bridging the data science APIs 59:15
  89. #479: Designing Effective Load Tests for Your Python App 59:06
  90. #478: When and how to start coding with kids 54:25
  91. #477: Awesome Text Tricks with NLP and spaCy 1:03:47
  92. #476: Unified Python packaging with uv 1:12:59
  93. #475: Python Language Summit 2024 1:01:24
  94. #474: Python Performance for Data Science 1:08:23
  95. #473: Being a developer with ADHD 1:00:32
  96. #472: State of Flask and Pallets in 2024 1:01:33
  97. #471: Learning and teaching Pandas 1:04:14
  98. #470: Python in Medicine and Patient Care 1:19:04
  99. #469: PuePy: Reactive frontend framework in Python 58:46
  100. #468: Python Trends Episode 2024 1:05:37
  101. #467: Data Science Panel at PyCon 2024 34:40
  102. #466: Pydantic Performance Tips 1:00:02
  103. #465: The AI Revolution Won't Be Monopolized 1:08:46
  104. #464: Seeing code flows and generating tests with Kolo 54:59
  105. #463: Running on Rust: Granian Web Server 1:04:51
  106. #462: Pandas and Beyond with Wes McKinney 59:51
  107. #461: Python in Neuroscience and Academic Labs 1:03:37
  108. #460: Dropbase: Build Internal Tools with Python 52:29
  109. #459: I Built A Python SaaS with AI 55:06
  110. #458: Serverless Python in 2024 1:00:22
  111. #457: Software Supply Chain Security with Phylum 1:08:21
  112. #456: Building GPT Actions with FastAPI and Pydantic 1:05:20
  113. #455: Land Your First Data Job 59:33
  114. #454: Data Pipelines with Dagster 58:25
  115. #453: uv - The Next Evolution in Python Packages? 1:14:21
  116. #452: Top Quart (async Flask) Extensions 55:42
  117. #451: Djangonauts, Ready for Blast-Off 58:33
  118. #450: Versioning Web APIs in Python 1:02:37
  119. #449: Building UIs in Python with FastUI 1:06:16
  120. #448: Full-Time Open Source Devs Panel 58:46
  121. #447: Parallel Python Apps with Sub Interpreters 1:11:09
  122. #446: Python in Excel 48:09
  123. #445: Inside Azure Data Centers with Mark Russinovich 42:25
  124. #444: The Young Coder's Blueprint to Success 54:59
  125. #443: Python Bytes Crossover 2023 35:15
  126. #442: Ultra High Speed Message Parsing with msgspec 1:00:01
  127. #441: Python = Syntactic Sugar? 1:07:14
  128. #440: Talking to Notebooks with Jupyter AI 58:52
  129. #439: Pixi, A Fast Package Manager 59:04
  130. #438: Celebrating JupyterLab 4 and Jupyter 7 Releases 1:04:55
  131. #437: HTMX for Django Developers (And All of Us) 1:04:50
  132. #436: An Unbiased Evaluation of Environment and Packaging Tools 58:32
  133. #435: PyPI Security 1:03:23
  134. #434: Building Mobile Apps Backed with Python 58:49
  135. #433: Litestar: Effortlessly Build Performant APIs 1:04:46
  136. #432: Migrating to Pydantic 2.0: Beanie for MongoDB 53:54
  137. #431: Visualizing CPython Release Process 1:02:12
  138. #430: Delightful Machine Learning Apps with Gradio 59:43
  139. #429: Taming Flaky Tests 1:09:00
  140. #428: Django Trends in 2023 1:09:50
  141. #427: 10 Tips and Ideas for the Beginner to Expert Python Journey 1:06:06
  142. #426: What's New in PyScript [August 2023] 1:05:00
  143. #425: Memray: The endgame Python memory profiler 1:10:28
  144. #424: Shiny for Python 1:04:22
  145. #423: Solving 10 different simulation problems with Python 1:06:32
  146. #422: How data scientists use Python 1:02:16
  147. #421: Python at Netflix 1:04:06
  148. #420: Database Consistency & Isolation for Python Devs 56:02
  149. #419: Debugging Python in Production with PyStack 1:12:23
  150. #418: How To Keep A Secret in Python Apps 1:07:11
  151. #417: Test-Driven Prompt Engineering for LLMs with Promptimize 1:13:41
  152. #416: Open Source Sports Analytics with PySport 57:29
  153. #415: Future of Pydantic and FastAPI 50:05
  154. #414: A Stroll Down Startup Lane 52:47
  155. #413: Live from PyCon 2023 47:20
  156. #412: PEP 711 - Distributing Python Binaries 1:18:20
  157. #411: Things I Wish Someone Had Explained To Me Sooner About Python 1:03:45
  158. #410: The Intersection of Tabular Data and Generative AI 1:05:38
  159. #409: Privacy as Code with Fides 1:08:01
  160. #408: Hatch: A Modern Python Workflow 1:02:59
  161. #407: pytest tips and tricks for better testing 56:22
  162. #406: Reimagining Python's Packaging Workflows 1:06:41
  163. #405: Testing in Radio Astronomy with Python and pytest 59:21
  164. #404: Clean Code in Python 1:04:42
  165. #403: Fusion Ignition Breakthrough and Python 1:04:42
  166. #402: Polars: A Lightning-fast DataFrame for Python [updated audio] 58:48
  167. #401: Migrating 3.8 Million Lines of Python 1:00:57
  168. #400: Ruff - The Fast, Rust-based Python Linter 1:03:45
  169. #399: Monorepos in Python 1:10:31
  170. #398: Imaging Black Holes with Python 58:13
  171. #397: Evaluating New Open Source Tech Panel 1:03:25
  172. #396: AI Goes on Trial For Writing Code (crossover) 37:32
  173. #395: Tools for README.md Creation and Maintenance 1:13:31
  174. #394: Awesome Jupyter Libraries and Extensions in 2022 1:02:22
  175. #393: Space Science with Python 1:03:29
  176. #392: Data Science from the Command Line 1:11:04
  177. #391: Pyscript powered by MicroPython 1:11:04
  178. #390: Mastodon for Python Devs 1:08:41
  179. #389: 18 awesome asyncio packages in Python 57:28
  180. #388: Python 3.11 is here and it's fast 1:06:29
  181. #387: Build All the Things with Pants Build System 1:07:50
  182. #386: Realtime Web Apps and Dashboards with H2O Wave 1:05:37
  183. #385: Higher level Python asyncio with AnyIO 59:55
  184. #384: Python Data Visualization - Where To Start? 1:13:16
  185. #383: Textinator and Building macOS Apps with Python 1:06:08
  186. #382: Apache Superset: Modern Data Exploration Platform 1:08:16
  187. #381: Python Perf: Specializing, Adaptive Interpreter 1:08:53
  188. #380: 7 lessons from building a modern TUI framework 1:07:49
  189. #379: 17 Libraries You Should Be Using in Django 1:20:32
  190. #378: Flet: Flutter apps in Python 1:00:21
  191. #377: Python Packaging and PyPI in 2022 1:08:11
  192. #376: Pydantic v2 - The Plan 1:18:53
  193. #375: Python Language Summit 2022 58:31
  194. #374: PSF Survey in Review 1:02:16
  195. #373: Reinventing Azure's Python CLI 1:06:30
  196. #372: Applied mathematics with Python 1:15:44
  197. #371: pipx - Installable, Isolated Python Applications 58:43
  198. #370: OpenBB: Python's Open-source Investment Platform 54:28
  199. #369: Getting Lazy with Python Imports and PEP 690 56:26
  200. #368: End-to-End Web Testing with Playwright 1:13:19
  201. #367: Say Hello to PyScript (WebAssembly Python) 1:13:41
  202. #366: Optimizing PostgreSQL DB Queries with pgMustard 1:14:06
  203. #365: Solving Negative Engineering Problems with Prefect 1:04:10
  204. #364: Symbolic Math with Python using SymPy 1:07:52
  205. #363: Python for .NET and C# developers 1:06:36
  206. #362: Hypermodern Python Projects 1:06:14
  207. #361: Pangeo Data Ecosystem 54:16
  208. #360: Removing Python's Dead Batteries (in just 5 years) 1:20:03
  209. #359: Lifecycle of a machine learning project 1:07:29
  210. #358: Understanding Pandas visually with PandasTutor 46:48
  211. #357: Python and the James Webb Space Telescope 1:02:30
  212. #356: Tips for ML / AI startups 1:06:27
  213. #355: EdgeDB - Building a database in Python 1:18:06
  214. #354: Sphinx, MyST, and Python Docs in 2022 1:11:55
  215. #353: SQLModel: The New ORM for FastAPI and Beyond 1:18:21
  216. #352: Running Python in Production 1:00:12
  217. #351: Machine Learning Ethics and Laws Panel 1:10:28
  218. #350: Python Steering Council 2021 Retrospective 1:10:18
  219. #349: Meet Beanie: A MongoDB ODM + Pydantic 1:20:50
  220. #348: Dear PyGui: Simple yet Fast Python GUI Apps 1:01:32
  221. #347: Cinder - Specialized Python that Flies 1:11:04
  222. #346: 20 Recommended Packages in Review 1:13:43
  223. #345: 10 Tips and Tools for Developer Productivity 1:16:39
  224. #344: SQLAlchemy 2.0 1:06:19
  225. #343: Do Excel things, get notebook Python code with Mito 1:06:14
  226. #342: Python in Architecture (as in actual buildings) 1:01:28
  227. #341: 25 Pandas Functions You Didn’t Know Existed 59:16
  228. #340: Time to JIT your Python with Pyjion? 1:13:38
  229. #339: Making Python Faster with Guido and Mark 1:01:02
  230. #338: Using cibuildwheel to manage the scikit-HEP packages 1:17:44
  231. #337: Kedro for Maintainable Data Science 1:03:14
  232. #336: Terminal magic with Rich and Textual 59:12
  233. #335: Gene Editing with Python 58:20
  234. #334: Microsoft Planetary Computer 59:46
  235. #333: State of Data Science in 2021 1:03:59
  236. #332: Robust Python 1:11:56
  237. #331: Meet the Python Developer in Residence: Lukasz Langa 1:06:21
  238. #330: Apache Airflow Open-Source Workflow with Python 1:07:50
  239. #329: Geekout: Renewable Energy 48:18
  240. #328: Piccolo: A fast, async ORM for Python (updated) 58:51
  241. #327: Little Automation Tools in Python 1:05:58
  242. #326: Building Desktop Apps with wxPython 53:32
  243. #325: MicroPython + CircuitPython 1:08:37
  244. #324: Gatorade-powered Python APIs 1:12:23
  245. #323: Best practices for Docker in production 1:10:47
  246. #322: A path into data science 59:56
  247. #321: HTMX - Clean, Dynamic HTML Pages 1:12:25
  248. #320: Python in the Electrical Energy Sector 1:08:01
  249. #319: Typosquatting and Supply Chains Vulnerabilities 59:43
  250. #318: Measuring your ML impact with CodeCarbon 1:07:43