11.3. Further reading¶
11.3.1. Video¶
11.3.2. 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
11.3.3. 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
11.3.4. 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/
EuroPython: https://pyvideo.org/events/europython-2019.html
PyCon AU: https://www.youtube.com/user/PyConAU
Data Science / Machine Learning:
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
11.3.5. Speakers¶
Python:
Łukasz Langa
https://www.youtube.com/results?search_query=Łukasz+Langa
Raymond Hettinger:
Dustin Ingram:
Guido van Rossum:
Larry Hastings:
Django:
11.3.6. Talks¶
11.3.7. 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
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
11.3.8. Community¶
11.3.9. Programming Language Trends¶
11.3.10. Python Developer Survey¶
11.3.11. Experiments¶
11.3.12. Technology Trends¶
11.3.13. Testing¶
11.3.14. Books¶
Algorithms:
Databases:
Software Engineering Practises:
http://www.amazon.co.uk/Clean-Code-Handbook-Software-Craftsmanship/dp/0132350882/
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/
Refactoring:
Working effectively with legacy code - Michael Feathers
Python:
http://www.amazon.com/Learning-Python-Edition-Mark-Lutz/dp/1449355730/
http://www.amazon.com/Python-Programming-Introduction-Computer-Science/dp/1590282418/
http://www.amazon.com/Python-Cookbook-David-Beazley/dp/1449340377/
http://www.amazon.com/Python-Practice-Concurrency-Libraries-Developers/dp/0321905636/
http://www.amazon.com/Python-3-Object-Oriented-Programming/dp/1849511268/