13.3. Further reading

13.3.1. Video

• Matt Harasymczuk's Webinars

• PyVideo

• InfoQ

13.3.2. Trends

Programming Language:

• Tiobe Index

• PYPL

Technology:

• Technology Radar

• PatoArchitekci

• InfoQ AI/ML/DS

13.3.3. Python Survey

Python Developer Survey:

• https://www.jetbrains.com/lp/python-developers-survey-2020/

• https://www.jetbrains.com/lp/python-developers-survey-2019/

• https://www.jetbrains.com/research/python-developers-survey-2018/

• https://www.jetbrains.com/research/python-developers-survey-2017/

StackOverflow Survey:

• https://insights.stackoverflow.com/survey/2020

• https://insights.stackoverflow.com/survey/2019

• https://insights.stackoverflow.com/survey/2018

Development Ecosystem Survey:

• https://www.jetbrains.com/lp/devecosystem-2021/

• https://www.jetbrains.com/lp/devecosystem-2020/python/

Django Survey:

• https://lp.jetbrains.com/django-developer-survey-2021-486/

Web Frameworks:

• https://insights.stackoverflow.com/survey/2021#section-most-loved-dreaded-and-wanted-web-frameworks

13.3.4. Experiments

• https://blog.jetbrains.com/datalore/2020/12/17/we-downloaded-10-000-000-jupyter-notebooks-from-github-this-is-what-we-learned/

13.3.5. Documentation

• Python Module Index

• Python string formatting

• TimeComplexity

• Multiple APIs documentation

13.3.6. Python Development

• Python Insider

• Newest PEPs RSS

• Python Releases

• CPython compiler

• Python core development

• Index of Python Enhancement Proposals (PEPs)

• Python Enhancement Proposals repository

• News from the Python Software Foundation

• Future of Python

13.3.7. Conferences

• Python Events Calendar

• Upcoming events in Python

Python:

• PyCon US 2021

• PyCon US

• EuroPython

• PyGotham

• PyCon AU

• PyCon PL

Data Science / Machine Learning:

• SciPy

• EuroSciPy

• PyData Warsaw

Old:

• PyCon 2017

• Kiwi PyCon 2014

• DjangoCon 2014

• PyGotham 2014

• PyCon AU

• PyData Berlin

• EuroPython

• PyOhio

• SciPy

13.3.8. Speakers

Python:

• Łukasz Langa

  • https://pyvideo.org/speaker/lukasz-langa.html

  • https://www.youtube.com/results?search_query=Łukasz+Langa

  • https://www.youtube.com/watch?v=fOdCxum-qLA

• Raymond Hettinger:

  • https://pyvideo.org/speaker/raymond-hettinger.html

  • https://www.youtube.com/results?search_query=Raymond+Hettinger

• Dustin Ingram:

  • https://pyvideo.org/speaker/dustin-ingram.html

• Guido van Rossum:

  • https://pyvideo.org/speaker/guido-van-rossum.html

• Larry Hastings:

  • https://pyvideo.org/speaker/larry-hastings.html

13.3.9. Talks

• Łukasz Langa - import asyncio: Learn Python's AsyncIO #1 - The Async Ecosystem

• Łukasz Langa - Life Is Better Painted Black, or: How to Stop Worrying and Embrace Auto-Formatting. PyCon 2019

• Raymond Hettinger - Beyond PEP 8 -- Best practices for beautiful intelligible code - PyCon 2015

• Raymond Hettinger - Transforming Code Into Beautiful, Idiomatic Python

• Raymond Hettinger - Modern Dictionaries

• Raymond Hettinger - Keynote on Concurrency

• Raymond Hettinger - Thinking about Concurrency

13.3.10. Django

Class-Based Views:

• http://ccbv.co.uk

Conferences:

• DjangoCon US: https://pyvideo.org/events/djangocon-us-2019.html

• DjangoCon EU: https://pyvideo.org/events/djangocon-europe-2019.html

Speakers:

• Russell Keith-Magee:

  • https://pyvideo.org/speaker/russell-keith-magee.html

  • https://www.youtube.com/results?search_query=Russel+Keith-Magee

• Andrew Godwin:

  • https://pyvideo.org/speaker/andrew-godwin.html

  • https://www.youtube.com/results?search_query=andrew+goodwin+django+async

13.3.11. FastAPI

• https://www.youtube.com/watch?v=0sOvCWFmrtA

• https://fastapi.tiangolo.com/tutorial/security/oauth2-jwt/

• https://jwt.io/

13.3.12. Async

• https://www.youtube.com/watch?v=Xbl7XjFYsN4&list=PLhNSoGM2ik6SIkVGXWBwerucXjgP1rHmB

• https://www.youtube.com/watch?v=F19R_M4Nay4

• https://www.youtube.com/watch?v=Pe3b9bdRtiE

• https://www.youtube.com/watch?v=19Uh_PA_8Rc

• https://www.youtube.com/watch?v=oMHrDy62kgE

13.3.13. Multiprocessing

• https://dask.org/

13.3.14. Http

• https://httpbin.org

• https://12factor.net/

• https://docs.djangoproject.com/en/dev/howto/deployment/checklist/

13.3.15. Database

• https://prometheus.io/docs/introduction/overview/

• https://www.influxdata.com/

13.3.16. Online Courses

Python:

• Codecademy: http://www.codecademy.com/en/tracks/python

• University of Michigan: https://www.coursera.org/learn/python

• University of Toronto: https://www.coursera.org/learn/learn-to-program

• University of Michigan: https://www.coursera.org/learn/python-databases

• Rice University: https://www.coursera.org/learn/python-programming

• OReilly: http://shop.oreilly.com/product/110000448.do

Machine Learning and Data Science:

• https://www.youtube.com/user/sentdex

• https://www.youtube.com/watch?v=OGxgnH8y2NM&list=PLQVvvaa0QuDfKTOs3Keq_kaG2P55YRn5v

• https://www.youtube.com/watch?v=wQ8BIBpya2k&list=PLQVvvaa0QuDfhTox0AjmQ6tvTgMBZBEXN

• https://www.youtube.com/watch?v=nLw1RNvfElg&list=PLQVvvaa0QuDfSfqQuee6K8opKtZsh7sA9

• https://www.youtube.com/watch?v=Wo5dMEP_BbI&list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3

• https://www.youtube.com/watch?v=mA5nwGoRAOo (+ cała playlista)

• (UC San Diego) https://www.edx.org/course/python-for-data-science

• (UC San Diego) https://www.edx.org/course/statistics-and-probability-in-data-science-using-python

• (MIT) https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-11

• (University of Michigan) https://www.coursera.org/learn/python-data

• (University of Michigan) https://www.coursera.org/learn/python-data-analysis

• (deeplearning.ai) https://www.coursera.org/learn/neural-networks-deep-learning

• (deeplearning.ai) https://www.coursera.org/specializations/deep-learning

• (University of Michigan) https://www.coursera.org/learn/python-machine-learning

• (University of Michigan) https://www.coursera.org/learn/python-text-mining

• (IBM) https://www.coursera.org/learn/python-for-applied-data-science

• (IBM) https://www.coursera.org/learn/data-analysis-with-python

13.3.17. Community

• https://www.reddit.com/r/learnpython

• https://www.reddit.com/r/python

• https://www.reddit.com/r/learnprogramming

• https://www.reddit.com/r/programming

13.3.18. Testing

• https://martinfowler.com/articles/microservice-testing/#testing-component-in-process-diagram

13.3.19. Books

Algorithms:

• http://www.amazon.com/Introduction-Algorithms-Edition-Thomas-Cormen/dp/0262033844/

• http://www.amazon.com/Algorithms-4th-Edition-Robert-Sedgewick/dp/032157351X/

Databases:

• http://www.amazon.com/Database-Design-Mere-Mortals-Hands-/dp/0321884493/

• http://www.amazon.com/SQL-Antipatterns-Programming-Pragmatic-Programmers/dp/1934356557/

• http://www.amazon.com/C.-J.-Date/e/B000AQ6OJA/

Software Engineering Practises:

• http://www.amazon.com/Pragmatic-Programmer-Journeyman-Master/dp/020161622X/

• http://www.amazon.com/Code-Complete-Practical-Handbook-Construction/dp/0735619670/

• http://www.amazon.com/The-Mythical-Man-Month-Engineering-Anniversary/dp/0201835959/

Design pattern:

• Design Patterns: Elements of Reusable Object-Oriented Software

• http://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612/

• https://helion.pl/ksiazki/wzorce-projektowe-elementy-oprogramowania-obiektowego-wielokrotnego-uzytku-erich-gamma-richard-helm-ralph-johnson-john-vli,wzoelv.htm

Refactoring:

• Working effectively with legacy code - Michael Feathers

• https://www.amazon.com/Working-Effectively-Legacy-Michael-Feathers/dp/0131177052

Clean Code by Uncle Bob:

• https://helion.pl/ksiazki/czysty-kod-podrecznik-dobrego-programisty-robert-c-martin,czykov.htm

• http://www.amazon.co.uk/Clean-Code-Handbook-Software-Craftsmanship/dp/0132350882/

Python:

• http://www.amazon.com/Learning-Python-Edition-Mark-Lutz/dp/1449355730/

• http://www.amazon.com/Python-Programming-Introduction-Computer-Science/dp/1590282418/

• http://inventwithpython.com/

• http://www.amazon.com/Python-Cookbook-David-Beazley/dp/1449340377/

• https://www.jeffknupp.com/writing-idiomatic-python-ebook/

• http://www.amazon.com/Python-Practice-Concurrency-Libraries-Developers/dp/0321905636/

• http://learnpythonthehardway.org/book/

• http://anandology.com/python-practice-book/index.html

• http://www.amazon.com/Python-3-Object-Oriented-Programming/dp/1849511268/

• http://shop.oreilly.com/product/0636920032519.do

13.3.20. Useful libs

• https://fastapi.tiangolo.com

• https://sqlmodel.tiangolo.com

• https://pydantic-docs.helpmanual.io

13.3.21. Fun

• https://youtu.be/hgI0p1zf31k

13.3.22. Data Sets

• https://www.airlines.org/dataset/