14.3. Further reading

14.3.1. Video

• https://pyvideo.org/

• https://www.infoq.com/python/

14.3.2. Documentation

• Python Module Index - https://docs.python.org/py-modindex.html

• Python string formatting - https://pyformat.info

• TimeComplexity - https://wiki.python.org/moin/TimeComplexity

• Multiple APIs documentation - http://devdocs.io

14.3.3. Python Development

• CPython compiler - https://github.com/python/cpython

• Python core development - https://discuss.python.org

• Index of Python Enhancement Proposals (PEPs) - https://www.python.org/dev/peps/

• Python Enhancement Proposals repository- https://github.com/python/peps

• News from the Python Software Foundation - https://pyfound.blogspot.com

14.3.4. Conferences

• Python Events Calendar - https://www.python.org/events/python-events/

• Upcoming events in Python - http://crossweb.pl/wydarzenia/python/

Python:

• PyCon US 2021: https://us.pycon.org/2021/speaking/

• PyCon US: https://pyvideo.org/events/pycon-us-2020.html

• EuroPython: https://pyvideo.org/events/europython-2019.html

• PyGotham: https://pyvideo.org/events/pygotham-2019.html

• PyCon AU: https://www.youtube.com/user/PyConAU

• PyCon PL: https://pyvideo.org/events/pycon-pl-2016.html

Data Science / Machine Learning:

• SciPy: https://pyvideo.org/events/scipy-2020.html

• EuroSciPy: https://pyvideo.org/events/euroscipy-2019.html

• PyData Warsaw: https://pyvideo.org/events/pydata-warsaw-2019.html

Django:

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

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

Old:

• PyCon 2017: https://www.youtube.com/channel/UCrJhliKNQ8g0qoE_zvL8eVg

• Kiwi PyCon 2014: https://www.youtube.com/playlist?list=PLBGl1tVyiWQSVwxne3yOH79uaSqgbnCqL

• DjangoCon 2014: https://www.youtube.com/playlist?list=PLE7tQUdRKcybbNiuhLcc3h6WzmZGVBMr3

• PyGotham 2014: https://www.youtube.com/channel/UC45KSayx_kwQAnhpaPAuVkw/videos

• PyCon AU: http://pyvideo.org/category/56/pycon-australia-2014

• PyData Berlin: http://pyvideo.org/category/55/pydata-berlin-2014

• EuroPython: http://pyvideo.org/category/54/europython-2014

• PyOhio: http://pyvideo.org/category/52/pyohio-2014

• SciPy: http://pyvideo.org/category/51/scipy-2014

14.3.5. Speakers

Python:

• Łukasz Langa

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

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

• 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

Django:

• 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

14.3.6. 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

14.3.7. 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/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

14.3.8. 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

14.3.9. Programming Language Trends

• https://www.tiobe.com/tiobe-index/

• https://pypl.github.io/PYPL.html

14.3.10. Python Developer Survey

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

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

• 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/

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

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

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

14.3.11. Experiments

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

14.3.12. Technology Trends

• https://www.thoughtworks.com/radar

• https://www.youtube.com/c/PatoArchitekci/videos

• https://www.infoq.com/ai-ml-data-eng/

14.3.13. Testing

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

14.3.14. 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

14.3.15. Useful libs

• https://fastapi.tiangolo.com

• https://pydantic-docs.helpmanual.io

14.3.16. Fun

• https://youtu.be/hgI0p1zf31k