Pycon 2022: https://www.youtube.com/playlist?list=PL2Uw4_HvXqvYeXy8ab7iRHjA-9HiYhRQl
Pycon 2021: https://www.youtube.com/playlist?list=PL2Uw4_HvXqvYk1Y5P8kryoyd83L_0Uk5K
Pycon 2020: https://www.youtube.com/playlist?list=PL2Uw4_HvXqvbpFquYIE57BEAqkQWk-iFg
Best Python 2020: https://www.youtube.com/watch?v=tqUe0gcfqAU&list=PLCA4Z3rehf5nDNRqo4sLC_8KgU0tymlge&ab_channel=PyConUS
Modern Python Developer’s toolkit: https://www.youtube.com/watch?v=WkUBx3g2QfQ&ab_channel=PyConUS
Modern Python Developer’s toolkit (resources): https://pycon.switowski.com/
Install, Uninstall and manage multiple versions of python on a mac: https://www.ianmaddaus.com/post/manage-multiple-versions-python-mac/
5 Python Tricks da usare: https://towardsdatascience.com/5-python-tricks-you-should-start-using-in-2021-1084af21c2f2
Medium informations and blogs to look at:
Jetbrains Dev Ecosystem 2020: https://www.jetbrains.com/lp/devecosystem-2020/python/
State of 2020 language: https://fwdays.com/en/event/python-fwdays-conference/review/python-2020-the-state-of-the-language
Fase più discorsiva
https://towardsdatascience.com/12-steps-to-production-quality-data-science-code-35ae2f868003
Code quality
https://realpython.com/python-code-quality/#it-does-not-do-what-it-is-supposed-to-do
Modularizzazione del codice
Python env
Project & Library management
Configurazione IDE (Visual Studio Code)
Come documentare al meglio il proprio codice
https://realpython.com/documenting-python-code/
Tutta la documentazione che scrivete all’interno del progetto cercate di farla in Markdown (https://guides.github.com/features/mastering-markdown/)
Code Refactoring (Best Practise)
Software Quality (Metrics and how to use)
Test Driven Data Science Development
https://towardsdatascience.com/tdd-datascience-689c98492fcc
https://www.freecodecamp.org/news/learning-to-test-with-python-997ace2d8abe/
Strumenti in Python per la generazione automatica di documentazione:
BONUS: Far vedere anche su mac come funziona poetry + pyenv alla fine
Attenzione: testare pyenv + poetry con windows + subsystem linux + macchina virtuale linux
Quando un progetto nasce classico (utilizzando virtualenv e venv) lasciarlo così…fare la migrazione a Poetry può essere complicato.
Si consiglia di utilizzare python versione 3.8 (3.7 già vecchia e 3.9 ancora troppo nuova).
Integrazione Poetry with Docker
https://stackoverflow.com/questions/53835198/integrating-python-poetry-with-docker
https://pythonspeed.com/articles/pipenv-docker/
Assolutamente da vedere:
Python Logging (Log your code and not use print): https://python-docs.readthedocs.io/en/latest/writing/logging.html
Commons Gotcha (concetti generali interessanti): https://python-docs.readthedocs.io/en/latest/writing/gotchas.html
Packaging your code: https://python-docs.readthedocs.io/en/latest/shipping/packaging.html
Freezing your code: https://python-docs.readthedocs.io/en/latest/shipping/freezing.html
Two cool functions to know in python
https://towardsdatascience.com/two-cool-functions-to-know-in-python-7c36da49f884
Altri temi
Come strutturare il tuo progetto
https://python-docs.readthedocs.io/en/latest/writing/structure.html
https://python-semantic-release.readthedocs.io/en/latest/
https://mestrak.com/blog/semantic-release-with-python-poetry-github-actions-20nn
https://www.reddit.com/r/vscode/comments/95lsb8/a_better_python_formatter/
https://stackoverflow.com/questions/65410758/problem-formatting-python-when-using-prettier-in-vscode
https://dev.to/eegli/quick-guide-to-python-formatting-in-vs-code-2040
https://www.digitalocean.com/community/tutorials/code-formatting-with-prettier-in-visual-studio-code
https://stackoverflow.com/questions/57907645/prettier-not-formatting-html-files-in-vs-code
#Prettier configuration: .prettierrc
{
"arrowParens": "avoid",
"endOfLine": "lf",
"htmlWhitespaceSensitivity": "css",
"insertPragma": false,
"jsxBracketSameLine": false,
"jsxSingleQuote": false,
"printWidth": 80,
"proseWrap": "always",
"quoteProps": "as-needed",
"requirePragma": false,
"semi": false,
"singleQuote": true,
"tabWidth": 2,
"useTabs": false
}