The Python Data & Science Podcast.__init__

By Tobias Macey

The podcast about how the Python language powers work in data and science

  1. 1.
    Finding The Core Of Python For A Bright Future With Brett Cannon
    1:03:18
  2. 2.
    Traversing The Challenges And Promise Of Graph Machine Learning
    47:47
  3. 3.
    Keep Your Analytics Lint Free With SQLFluff
    1:13:13
  4. 4.
    Exploring The Patterns And Practices For Deep Learning With Andrew Ferlitsch
    44:19
  5. 5.
    Automatically Generate Your Unit Tests From Scratch With Pynguin
    57:40
  6. 6.
    Leveling Up Natural Language Processing with Transfer Learning
    46:34
  7. 7.
    Federated Learning For All With Flower
    1:01:28
  8. 8.
    Data Exploration and Visualization Made Effortless with Lux
    51:04
  1. 9.
    Extensible Open Source Authorization For Your Applications With Oso
    51:49
  2. 10.
    Teaching Geeks The Value And Skills Of Public Speaking
    42:54
  3. 11.
    Let The Robots Do The Work Using Robotic Process Automation with Robocorp
    45:33
  4. 12.
    Keep Your Code Clean And Maintainable Using Static Analysis With Flake8
    49:31
  5. 13.
    Make Your Code More Readable With The Magic Of Refactoring Using Sourcery
    1:00:58
  6. 14.
    Be Data Driven At Any Scale With Superset
    47:33
  7. 15.
    Practical Advice On Using Python To Power A Business
    49:30
  8. 16.
    Analyzing The Ecosystem of Python Data Companies With Tony Liu
    39:30
  9. 17.
    Go From Notebook To Pipeline For Your Data Science Projects With Orchest
    44:24
  10. 18.
    Write Your Python Scripts In A Flow Based Visual Editor With Ryven
    47:21
  11. 19.
    CrossHair: Your Automatic Pair Programmer
    42:53
  12. 20.
    Giving Your Data Science Projects And Teams A Home At DagsHub
    59:20
  13. 21.
    Exploring Literate Programming For Python Projects With nbdev
    51:38
  14. 22.
    Making The Sans I/O Ideal A Reality For The Websockets Library
    38:04
  15. 23.
    Driving Toward A Faster Python Interpreter With Pyston
    44:06
  16. 24.
    Project Scaffolding That Evolves With Your Software Using Copier
    57:56
  17. 25.
    How Python's Evolution Impacts Your Fluency With Luciano Ramalho
    1:00:13
  18. 26.
    Making Content Management A Smooth Experience With A Headless CMS
    48:50
  19. 27.
    Turning Notebooks Into Collaborative And Dynamic Data Applications With Hex
    42:39
  20. 28.
    Add Anomaly Detection To Your Time Series Data With Luminaire
    54:23
  21. 29.
    Building Big Data Pipelines For Audio With Klio
    53:36
  22. 30.
    Open Sourcing The Anvil Full Stack Python Web App Platform
    51:23
  23. 31.
    Pants Has Got Your Python Monorepo Covered
    51:38
  24. 32.
    Scale Your Data Science Teams With Machine Learning Operations Principles
    51:58
  25. 33.
    Making The Case For A (Semi) Formal Specification Of CPython
    36:41
  26. 34.
    Bringing Artificial Intelligence Projects From Idea To Production
    47:49
  27. 35.
    Power Up Your Java Using Python With JPype
    48:39
  28. 36.
    The Journey To Replace Python's Parser And What It Means For The Future
    1:05:48
  29. 37.
    Cloud Native Application Delivery Using GitOps
    53:30
  30. 38.
    Threading The Needle Of Interesting And Informative While You Learn To Code
    56:29
  31. 39.
    Solving Python Package Creation For End User Applications With PyOxidizer
    49:39
  32. 40.
    Flexible Network Security Detection And Response With Grapl
    53:32
  33. 41.
    Simplified Data Extraction And Analysis For Current Events With Newspaper
    43:27
  34. 42.
    Digging Into Dagster: An Opinionated Open Source Framework For Data Orchestration
    59:28
  35. 43.
    When, Why, and How To Use Web Scraping In A Nutshell
    41:51
  36. 44.
    Working In The Code Mines: Mining Software Repositories With PyDriller
    40:03
  37. 45.
    Building The Open Data Ecosystem For Music And More At Metabrainz
    48:06
  38. 46.
    Growing Dask To Make Scaling Python Data Science Easier At Coiled
    52:07
  39. 47.
    Supporting The Full Lifecycle Of Machine Learning Projects With Metaflow
    44:45
  40. 48.
    Learning To Program By Building Tiny Python Projects
    54:59
  41. 49.
    Idiomatic Functional Programming With DRY Python
    47:42
  42. 50.
    The Past, Present, And Future Of The FLUFL: Barry Warsaw Shares His History With Python
    51:40

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