#104 API Evolution the Right Way

Python Bytes - Un pódcast de Michael Kennedy and Brian Okken - Lunes

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Python Bytes 104

Michael #0.1: Chapters and play at

Chapters are now in the mp3 file
Play at button on the website (doesn’t work on iOS unless you click the play to start it)

Anthony Shaw (aka “Friend of the Show”, aka “Ant”)
(if listing 2 “aliases, do you just put one “aka” or one per alias?)
I should cover this on Test & Code for the content of the package. But it’s the actual packaging that I want to talk about today.
Wily is a code base that can be used as an example of embracing pyproject.toml (pyproject.toml discussed on PB 100 and T&C 52)
A real nice clean project using newer packaging tools that also has some frequently used bells and whistles
NO setup.py file
wily’s pyproject.toml includes
- flit packaging, metadata, scripts
- tox configuration
- black configuration
project also has
- testing done on TravisCI
- rst based docs and readthedocs updates
- code coverage
- black pre-commit for wily
- pre-commit hook for your project to run wily
- CONTRIBUTING.md that includes code of conduct
- HISTORY.md with a nice format
- tests using pytest

In this release, closed a total of 49 issues, including:
- Jupyter support: import notebooks and run code cells in a Python Interactive window
- Use new virtual environments without having to restart Visual Studio Code
- Code completions in the debug console window
- Improved completions in language server, including recognition of namedtuple, and generic types
The extension now contains new editor-centric interactive programming capabilities built on top of Jupyter.
have Jupyter installed in your environment (e.g. set your environment to Anaconda) and type #%% into a Python file to define a Cell. You will notice a “Run Cell” code lens will appear above the #%% line:
Cells in the Jupyter Notebook will be converted to cells in a Python file by adding #%% lines. You can run the cells to view the notebook output in Visual Studio code, including plots

Project by Mike B
Covered back on https://pythonbytes.fm/episodes/show/90/a-django-async-roadmap
Simple declarative UI “builder”
Looking to take your Python code from the world of command lines and into the convenience of a GUI?
Have a Raspberry Pi with a touchscreen that's going to waste because you don't have the time to learn a GUI SDK?
Look no further, you've found your GUI package.
Now supports Qt
Modern Python only
More frameworks likely coming

Michael #6: Shiboken (from Qt for Python project)

From PySide2 (AKA Qt for Python) project
Generate Python bindings from arbitrary C/C++ code
Has a Typesystem (based on XML) which allows modifying the obtained information to properly represent and manipulate the C++ classes into the Python World.
Can remove and add methods to certain classes, and even modify the arguments of each function, which is really necessary when both C++ and Python collide and a decision needs to be made to properly handle the data structures or types.
Qt for Python: under the hood
Write your own Python bindings
Other options include:
- CFFI (example dbader.org)
- Cython (example: via shamir.stav)

Extras: