• Why I Still Use Python Virtual Environments in Docker


• Python Developer Survey Results


• Anaconda Code add-in for Microsoft Excel


• Disabling Scheduled Dependency Updates


• Extras


• Joke

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Michael #1: Why I Still Use Python Virtual Environments in Docker

• by Hynek Schlawack


• I was going to cover Production-ready Docker Containers with uv but decided to take this diversion instead.


• Spend a lot of time thinking about the secondary effects of what you do.


• venvs are well known and well documented. Let’s use them.

Brian #2: Python Developer Survey Results

• “… official Python Developers Survey, conducted as a collaborative effort between the Python Software Foundation and JetBrains.”


• Python w/ Rust rising, but still only 7%


• ““The drop in HTML/CSS/JS might show that data science is increasing its share of Python.” - Paul Everitt


• 37% contribute to open source. Awesome.


• Favorite Resources: Podcasts
  
  
  
  • Lots of familiar faces there. Awesome.
    
    
    
    • Perhaps I shouldn’t have decided to move “Python Test” back to Test & Code
    
    
  
  


• Usage
  
  
  
  • “Data analysis” down, but I think that’s because “data engineering” is added.
  
  
  • Data, Web dev, ML, devops, academic,
  
  
  • Testing is down 23%
  
  


• Python Versions
  
  
  
  • Still some 2 out there
  
  
  • Most folks on 3.10-3.12
  
  


• Install from: mostly python.org


• Frameworks
  
  
  
  • web: Flask, Django, Requests, FastAPI …
  
  
  • testing: pytest, unittest, mock, doctest, tox, hypothesis, nose (2% might be the Python 2 people)
  
  


• Data science
  
  
  
  • 77% use pandas, 72% NumPy
  
  


• OS: Windows still at 55%


• Packaging:
  
  
  
  • venv up to 55%
  
  
  • I imaging uv will be on the list next year
  
  
  • requirements.txt 63%, pyproject.toml 32%
  
  


• virtual env in containers? 47% say no

Michael #3: Anaconda Code add-in for Microsoft Excel

• Run their Python-powered projects in Excel locally with the Anaconda Code add-in


• Powered by PyScript, an Anaconda supported open source project that runs Python locally without install and setup


• Features
  
  
  
  • Cells Run Independently
  
  
  • Range to Multiple Types
  
  
  • init.py file is static and cannot be edited, with Anaconda Code, users have the ability to access and edit imports and definitions, allowing you to write top-level functions and classes and reuse them wherever you need.
  
  
  • A Customizable Environment
  
  

Brian #4: Disabling Scheduled Dependency Updates

• David Lord


• Interesting discussion of as they happen or batching of upsates to dependencies


• dependencies come in
  
  
  
  • requirements files
  
  
  • GH Actions in CI workflows
  
  
  • pre-commit hooks
  
  


• David was seeing 60 PRs per month when set up on monthly updates (3 ecosystems * 20 projects)


• new tool for updating GH actions: gha-update, allows for local updating of GH dependencies


• New process
  
  
  
  • Run pip-compile, gha-update, and pre-commit locally.
  
  
  • Update a project’s dependencies when actively working on the project, not just whenever a dependency updates.
  
  
  • Note that this works fine for dev dependencies, less so for security updates from run time dependencies. But for libraries, runtime dependencies are usually not pinned.
  
  

Extras

Brian:

• Test & Code coming back this week

Michael:

• Code in a Castle event


• Python Bytes badge spotting


• Guido’s post removed for moderation

Joke: C will watch in silence