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310 lines
36 KiB
Markdown
# Python
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- [Python Blogs and Forums](#python-blogs-and-forums)
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- [Python docs](#python-docs)
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- [Thoth](#thoth)
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- [Python Books](#python-books)
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- [Python Django Framework](#python-django-framework)
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- [Python Flask Lightweight Framework (microframework)](#python-flask-lightweight-framework-microframework)
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- [FastAPI](#fastapi)
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- [Python pip and pip's wheel](#python-pip-and-pips-wheel)
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- [Python Feature Flags](#python-feature-flags)
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- [Python testing](#python-testing)
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- [Data Science.](#data-science)
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- [Python Pandas and pivot tables](#python-pandas-and-pivot-tables)
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- [PandasDatabase](#pandasdatabase)
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- [NumPy](#numpy)
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- [Orchest. Data Pipelines with Python and R code. No frameworks. No YAML](#orchest-data-pipelines-with-python-and-r-code-no-frameworks-no-yaml)
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- [Python standard library Modules and Code](#python-standard-library-modules-and-code)
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- [Python and AWS](#python-and-aws)
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- [Python Tools](#python-tools)
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- [Web Scraping with Python](#web-scraping-with-python)
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- [Jython](#jython)
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- [Eclipse IDE](#eclipse-ide)
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- [Python Libraries](#python-libraries)
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- [Python Snippets](#python-snippets)
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- [Slides](#slides)
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- [Tweets](#tweets)
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## Python Blogs and Forums
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- [digitalocean.com python 🌟](https://www.digitalocean.com/community/tags/python)
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- [Learn Python 'subreddit'](https://www.reddit.com/r/learnpython)
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- [reddit: python cheat sheet](https://www.reddit.com/r/learnpython/comments/3r2hsq/python_cheat_sheet/)
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- [Full Stack Python is an open book that explains each Python web application stack layer and provides the best web resources for those topics](http://www.fullstackpython.com/)
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- [Full Stack Python: Best Python Resources](http://www.fullstackpython.com/best-python-resources.html)
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- [realpython.com](http://realpython.com)
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- [LearnPython.org interactive Python tutorial](http://www.learnpython.org)
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- [Dough Hellmann - Python, OpenStack and Open Source](https://doughellmann.com)
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- [The docker-py repository: an API client for docker written in Python](http://docker-py.readthedocs.org)
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- [Awesome Python. A curated list of awesome Python frameworks, libraries and software](https://github.com/vinta/awesome-python/)
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- [Awesome Django. A curated list of awesome Django apps, projects and resources](https://gitlab.com/rosarior/awesome-django)
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- [pyvideo.org](http://pyvideo.org)
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- [Talk Python To Me Podcast](http://talkpython.fm)
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- [Transcript for Episode #39: Getting your first dev job as a Python developer (part 1)](http://talkpython.fm/episodes/transcript/39/getting-your-first-dev-job-as-a-python-developer-part-1)
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- [Microsoft: Python Engineering](https://blogs.msdn.microsoft.com/pythonengineering/)
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- [blog.pythonlibrary.org 🌟](http://www.blog.pythonlibrary.org/)
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- [nixCraft: Python Execute Unix/Linux Command Examples 🌟](http://www.cyberciti.biz/faq/python-execute-unix-linux-command-examples/)
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- [fedoralovespython.org 🌟](https://fedoralovespython.org/)
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## Python docs
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- [Python progression path - From apprentice to guru](https://stackoverflow.com/questions/2573135/python-progression-path-from-apprentice-to-guru)
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- [reddit: Why Python](https://www.reddit.com/r/Python/comments/3ylxmk/why_python/)
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- [Python Anti-Patterns. The Little Book of Python Anti-Patterns and Worst Practice](http://docs.quantifiedcode.com/python-code-patterns/)
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- [Setting up Python on OSX: UPDATED](http://staticnat.com/setting-up-python-on-osx/)
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- [Python 3.4 Programming Tutorials - YouTube](https://www.youtube.com/playlist?list=PL6gx4Cwl9DGAcbMi1sH6oAMk4JHw91mC_)
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- [Python mini-course](http://ai.berkeley.edu/tutorial.html#PythonBasics)
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- [Web Development using Python & Django](https://www.mysliderule.com/learning-paths/web-development-python-django/)
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- [A beginner's guide to web development with Python 2.7 / Django 1.7](http://www.tangowithdjango.com/)
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- [I wish I knew these things when I learned Python](http://bugra.github.io/work/notes/2015-01-03/i-wish-i-knew-these-things-when-i-first-learned-python/)
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- [The Bottom-Line Single Main Difference Between Python 2 and 3](http://migrateup.com/main-difference-python-3/)
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- [15 Essential Python Interview Questions](https://www.codementor.io/python/tutorial/essential-python-interview-questions)
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- [Python mini-quiz](http://www.mypythonquiz.com/)
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- [How do you handle the ORM problem? When do you say YES or NO to using ORM?](http://www.vertabelo.com/blog/technical-articles/orms-under-the-hood)
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- [Don't Make Us Say We Told You So: virtualenv for New Pythonistas](http://pyvideo.org/video/3460/dont-make-us-say-we-told-you-so-virtualenv-for)
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- [commandlinefu.com: pip install into current directory without virtualenv](http://www.commandlinefu.com/commands/view/17656/pip-install-into-current-directory-without-virtualenv)
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- [Java Vs. Python - Which Programming Language is More Productive? - Infographic](http://blogs.perceptionsystem.com/infographic/java-vs-python-programming-language-productive)
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- [Talk Python To Me Podcast. Episode #36: Python IDEs with the PyCharm team](http://talkpython.fm/episodes/show/36/python-ides-with-the-pycharm-team)
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- [My top 5 ‘new’ Python modules of 2015](http://blog.rtwilson.com/my-top-5-new-python-modules-of-2015/)
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- [reddit.com: Modules every python developer should know](https://www.reddit.com/r/Python/comments/3yg2u4/modules_every_python_developer_should_know/)
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- [reddit.com: My thoughts about moving from Python 2.7 to Python 3.x](https://www.reddit.com/r/Python/comments/3yjlim/my_thoughts_about_moving_from_python_27_to_python/)
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- [Why Python 3 exists](http://www.snarky.ca/why-python-3-exists)
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- [stackoverflow: Create dictionary from splitted strings from list of strings](http://stackoverflow.com/questions/34319156/create-dictionary-from-splitted-strings-from-list-of-strings)
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- [Yagmail: Python e-mail library](https://github.com/kootenpv/yagmail)
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- [How To Deadlock Your Python With getaddrinfo()](https://emptysqua.re/blog/getaddrinfo-deadlock/)
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- [New String Formatting in Python 3.6](https://zerokspot.com/weblog/2015/12/31/new-string-formatting-in-python/)
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- [en.wikibooks.org: Python Programming](https://upload.wikimedia.org/wikipedia/commons/9/91/Python_Programming.pdf)
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- [tqdm: Instantly make your python loops show a progress meter - just wrap any iterator with "tqdm(iterator)", and you're done!](https://github.com/noamraph/tqdm)
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- [If you don't like exceptions, you don't like Python](http://stupidpythonideas.blogspot.com.es/2015/05/if-you-dont-like-exceptions-you-dont.html)
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- [Stop writing code that will break on Python 4!](http://astrofrog.github.io/blog/2016/01/12/stop-writing-python-4-incompatible-code/) With the end of support for Python 2 on the horizon (in 2020), many package developers have made their packages compatible with both Python 2 and Python 3.
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- [github: Python3 in one pic](https://github.com/coodict/python3-in-one-pic)
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- [reddit.com: Functions vs. Classes](https://www.reddit.com/r/learnpython/comments/40rieo/functions_vs_classes/)
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- [Complexity of Python Operations](https://www.ics.uci.edu/~pattis/ICS-33/lectures/complexitypython.txt)
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- [reddit.com: Multiprocessing vs Threading?](https://www.reddit.com/r/learnpython/comments/418z8b/multiprocessing_vs_threading/)
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- [Python Threads and the Global Interpreter Lock](http://jessenoller.com/blog/2009/02/01/python-threads-and-the-global-interpreter-lock)
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- [devbattles.com: Python list. Functions and Methods lists](http://www.devbattles.com/en/sand/post-1754-Python_list_Functions_and_Methods_lists)
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- [devbattles.com: Python: sorting lists by .sort () with - in simple words](http://www.devbattles.com/en/sand/post-1752-Python_sorting_lists_by_sort__with__in_simple_words)
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- [Create a GUI Application Using Qt and Python in Minutes: Example Web Browser](http://www.digitalpeer.com/blog/create-a-gui-application-using-qt-and-python-in-minutes-example-web-browser)
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- [Python command line oneliners](http://www.vurt.ru/2013/02/python-command-line-oneliners)
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- ["Learn Python" Overtakes "Learn Java" on Google Trends 🌟](https://dzone.com/articles/learn-python-overtakes-learn-java)
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- [Python gains the upper hand against Perl, PHP, and Ruby](http://www.infoworld.com/article/3029681/java/python-gains-the-upper-hand-against-perl-php-and-ruby.html)
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- [Python FAQ: Why should I use Python 3? 🌟](https://eev.ee/blog/2016/07/31/python-faq-why-should-i-use-python-3/)
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- [stackoverflow: Problems installing python3 on RHEL 🌟](http://stackoverflow.com/questions/8087184/problems-installing-python3-on-rhel)
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- [PEP 8 Cheatsheet 🌟](https://es.scribd.com/document/207247675/PEP-8-Cheatsheet-2009)
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- [Lists vs. Tuples](http://nedbatchelder.com/blog/201608/lists_vs_tuples.html) A common beginner Python question: what's the difference between a list and a tuple?
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- [linuxconfig.org: python tuples 🌟](https://linuxconfig.org/python-tuples)
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- [digitalocean.com: How To Use the Python Map Function 🌟](https://www.digitalocean.com/community/tutorials/how-to-use-the-python-map-function)
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- [thenextweb.com: 6 practical tricks every Python developer should have](https://thenextweb.com/readme/2020/09/23/6-practical-tricks-every-python-developer-should-have/)
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- [dzone: Best of DZone: Python 🌟](https://dzone.com/articles/best-of-dzone-python)
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- [digitalocean.com: How To Code in Python 3 🌟](https://www.digitalocean.com/community/tutorial_series/how-to-code-in-python-3)
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- [towardsdatascience.com: Top 11 Github Repositories to Learn Python 🌟](https://towardsdatascience.com/top-11-github-repositories-to-learn-python-e75e8676757a) Popular GitHub repositories for learning Python
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- [tryolabs.com: Top 10 Python libraries of 2020](https://tryolabs.com/blog/2020/12/21/top-10-python-libraries-of-2020/)
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- [blog.logrocket.com: Django REST framework alternatives](https://blog.logrocket.com/django-rest-framework-alternatives/)
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- [towardsdatascience.com: Unexpected Size of Python Objects in Memory](https://towardsdatascience.com/the-strange-size-of-python-objects-in-memory-ce87bdfbb97f) How much memory does a Python object take on memory?
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- [learnsteps.com: DevOps Interview Questions: Important Python questions](https://www.learnsteps.com/devops-interview-questions-important-python-questions/)
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- [aigents.co: Data Structures and Python 🌟](https://aigents.co/blog/coding-tutorial/data-structures-and-python)
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- [doppler.com: Using Environment Variables in Python for App Configuration 🌟](https://doppler.com/blog/environment-variables-in-python) Learn how experienced developers use environment variables in Python, including managing default values and typecasting.
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- [src-r-r.github.io: How To Property Set Up Python Logging With A Command Line Program](https://src-r-r.github.io/articles/how_to_log_with_a_python_cli_program/)
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- [realpython.com: Python Microservices With gRPC 🌟](https://realpython.com/python-microservices-grpc/)
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- [dashbird.io: How I Manage Credentials in Python Using AWS Secrets Manager](https://dashbird.io/blog/aws-secrets-manager-python/)
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- [freecodecamp.org: The Python Handbook 🌟](https://www.freecodecamp.org/news/the-python-handbook/)
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- [towardsdatascience.com: 7 Must-Know Data Wrangling Operations with Python Pandas](https://towardsdatascience.com/7-must-know-data-wrangling-operations-with-python-pandas-849438a90d15)
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- [towardsdatascience.com: All The Important Features and Changes in Python 3.10](https://towardsdatascience.com/all-the-important-features-and-changes-in-python-3-10-e3d1fe542fbf)
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- [towardsdatascience.com: Data Preprocessing in Python Pandas — Part 6 Dropping Duplicates](https://towardsdatascience.com/data-preprocessing-in-python-pandas-part-6-dropping-duplicates-e35e46bcc9d6) A quick tutorial to drop duplicates using the Python Pandas library.
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- [antonz.org: How to make an awesome Python package in 2021](https://antonz.org/python-packaging/)
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- [freecodecamp.org: Python Map Function – How to Map a List in Python 3.0, With Example Code](https://www.freecodecamp.org/news/python-map-function-how-to-map-a-list-in-python-3-0-with-example-code/)
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- [betterprogramming.pub: 3 Seemingly Simple Python Features That Confuse Beginners](https://betterprogramming.pub/3-seemingly-simple-python-features-that-confuse-beginners-313575312dcf)
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- [analyticsindiamag.com: Object-Oriented Programming with Python](https://analyticsindiamag.com/object-oriented-programming-python/)
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- [towardsdatascience.com: Python loops: Some beginner-friendly looping challenges](https://towardsdatascience.com/python-loops-some-beginner-friendly-looping-challenge-e112fa606493) Looping through lists, tuples, dictionaries and strings.
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- [lambdatest.com: Python Tutorial 🌟](https://www.lambdatest.com/learning-hub/python-tutorial)
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- [analyticsvidhya.com: Top Online Platforms to Learn Python](https://www.analyticsvidhya.com/blog/2021/04/top-online-platforms-to-learn-python/)
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- [towardsdatascience.com: Master Label Processing In Python](https://towardsdatascience.com/essential-python-string-processing-techniques-aa5be43a4f1f) The full tutorial on working with string-type data in Python.
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- [towardsdatascience.com: There is more to ‘pandas.read_csv()’ than meets the eye](https://towardsdatascience.com/there-is-more-to-pandas-read-csv-than-meets-the-eye-8654cb2b3a03) A deep dive into some of the parameters of the read_csv function in pandas
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- [blog.adnansiddiqi.me: Getting started with Elasticsearch 7 in Python 🌟](http://blog.adnansiddiqi.me/getting-started-with-elasticsearch-7-in-python/)
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- [towardsdatascience.com: Concurrency and Parallelism in Python](https://towardsdatascience.com/concurrency-and-parallelism-in-python-bbd7af8c6625)
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- [pythonsimplified.com: Introduction to Python Sequence Types 🌟](https://pythonsimplified.com/python-sequence-types-an-introduction/)
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- [pub.towardsai.net: OPs Concept in Python](https://pub.towardsai.net/oops-concept-in-python-b5f5833d57db) OOPs is a highly efficient way of writing a program
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- [developers.redhat.com: micropipenv: Installing Python dependencies in containerized applications 🌟](https://developers.redhat.com/articles/2021/05/19/micropipenv-installing-python-dependencies-containerized-applications)
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- [pythonsimplified.com: Python List Vs Tuple 🌟](https://pythonsimplified.com/python-list-vs-tuple/)
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- [opensource.com: Make your API better with this positional trick from Python 3.8](https://opensource.com/article/21/5/python-38-features) Explore positional-only parameters and two other underutilized but still useful Python features.
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- [trstringer.com: Debug a Python Application Running in Kubernetes 🌟](https://trstringer.com/debug-python-kubernetes/)
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- [towardsdatascience.com: 7 advanced pandas tricks for data science](https://towardsdatascience.com/7-advanced-tricks-in-pandas-for-data-science-41a71632b5d9) Pandas is the go-to library for data science. These are the shortcuts I use to do repetitive data science tasks faster and simpler.
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- [pub.towardsai.net: Class and Objects in Python with Examples](https://pub.towardsai.net/class-and-objects-in-python-with-examples-591c6ca95ee6) A handy concept for software development programs
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- [dineshkumarkb.com: How to specify non PYPI requirements in your requirements.txt file](https://dineshkumarkb.com/tech/how-to-specify-non-pypi-requirements-in-your-requirements-txt-file/)
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- [theglitchblog.com: Logging in Python Using Best Practices](https://theglitchblog.com/2021/06/17/logging-in-python-using-best-practices/)
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- [jhhemal.medium.com: Some Tips and Tricks for Writing Better Code in Python](https://jhhemal.medium.com/some-tips-and-tricks-for-writing-better-code-in-python-f65e4b6814fd)
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- [jhhemal.medium.com: Some Essential Built-in Tools for Working with Lists](https://jhhemal.medium.com/some-essential-built-in-tools-for-working-with-lists-81c4f9d5f25e)
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- [dineshkumarkb.com: Reverse a linked list without additional datastructures using python](https://dineshkumarkb.com/tech/reverse-a-linked-list-without-additional-datastructures-using-python/)
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- [analyticsvidhya.com: Implementing ETL Process Using Python to Learn Data Engineering](https://www.analyticsvidhya.com/blog/2021/06/implementing-python-to-learn-data-engineering-etl-process/)
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- [infoworld.com: How to use the Python for loop](https://www.infoworld.com/article/3623689/how-to-use-the-python-for-loop.html) The for loop construction in Python easily iterates over a collection of items. Here’s what you need to know to use it well.
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- [stackoverflow.blog: Getting started with… Python 🌟](https://stackoverflow.blog/2021/07/14/getting-started-with-python/) Here's a collection of resources on how to get started using Python.
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- [oxylabs.io: Python Web Scraping Tutorial: Step-By-Step](https://oxylabs.io/blog/python-web-scraping)
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- [towardsdatascience.com: Automate Email Sending with Python](https://towardsdatascience.com/automate-email-sending-with-python-74128c7ca89a) The Definitive Snippets Collection for your ETL Pipelines
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- [returngis.net: Gestionar recursos de Kubernetes con Python](https://www.returngis.net/2021/08/gestionar-recursos-de-kubernetes-con-python/)
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- [pythonsimplified.com: Making Sense of Python Iterables and Iterators](https://pythonsimplified.com/making-sense-of-python-iterables-and-iterators/)
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- [opensource.com: Parse command-line arguments with argparse in Python](https://opensource.com/article/21/8/python-argparse) Use the argparse module to enable options in your Python applications.
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- [itsallaboutpython.blogspot.com: Simple Script To Send Emails In Python](https://itsallaboutpython.blogspot.com/2021/08/simple-script-to-send-emails-in-python.html)
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- [tecadmin.net: How To Read, Write & Parse CSV in Python](https://tecadmin.net/read-write-csv-in-python)
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- [freecodecamp.org: Python List Methods – append( ) vs extend( ) in Python Explained with Code Examples](https://www.freecodecamp.org/news/python-list-methods-append-vs-extend)
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- [writersbyte.com: 4 key Python Data Structures every beginner must know](https://writersbyte.com/4-key-python-data-structures-e-very-beginner-must-know)
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- [geeksforgeeks.org: Top 10 Advance Python Concepts That You Must Know](https://www.geeksforgeeks.org/top-10-advance-python-concepts-that-you-must-know/)
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- [freecodecamp.org: Dictionary Comprehension in Python – Explained with Examples](https://www.freecodecamp.org/news/dictionary-comprehension-in-python-explained-with-examples/)
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- [developers.redhat.com: Learn Python: Tutorials and updates from Red Hat experts](https://developers.redhat.com/topics/python) Python is a popular programming language for data science, machine learning, and web development.
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- [python.plainenglish.io: Special Methods Will Change How You Write Classes in Python](https://python.plainenglish.io/special-methods-that-will-change-how-you-build-classes-in-python-cd0226b52eb6) An introduction to the most useful special methods
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- [towardsdatascience.com: 12 Of My Favorite Python Practices For Better Functions](https://towardsdatascience.com/12-of-my-favorite-python-practices-for-better-functions-7a21d18cfb38)
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- [towardsdatascience.com: Stop Hardcoding Sensitive Data in Your Python Applications](https://towardsdatascience.com/stop-hardcoding-sensitive-data-in-your-python-applications-86eb2a96bec3) **Keep your settings and credentials private with .env files**
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## Thoth
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- [Project Thoth](https://thoth-station.ninja/) Using Artificial Intelligence to analyse and recommend software stacks for Python applications.
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- [developers.redhat.com: Thoth prescriptions for resolving Python dependencies](https://developers.redhat.com/articles/2021/09/22/thoth-prescriptions-resolving-python-dependencies) One of Thoth's major offerings is a cloud-based resolver, which examines the packages and libraries requested by an application and determines the best way to resolve them so that they work together in the target environment.
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## Python Books
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- [Python Data Science Handbook 🌟](https://jakevdp.github.io/PythonDataScienceHandbook/) This website contains the full text of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub in the form of Jupyter notebooks.
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- [automatetheboringstuff.com: Automate the Boring Stuff with Python](https://automatetheboringstuff.com/)
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## Python Django Framework
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- [gettopical.com: Get Django Latest News](http://gettopical.com/djangoframework)
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- [Learn Python Django in 4 Hours](https://dzone.com/articles/learn-python-django-in-4-hours)
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- [realpython.com: Django Development With Docker Compose and Machine](https://realpython.com/blog/python/django-development-with-docker-compose-and-machine/)
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- [realpython.com: Fun With Django's New Postgres Features](https://realpython.com/blog/python/fun-with-djangos-new-postgres-features/)
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- [realpython.com: Deploying a Django App to AWS Elastic Beanstalk](https://realpython.com/blog/python/deploying-a-django-app-to-aws-elastic-beanstalk/)
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- [TaskBuster Django Tutorial, made with Django 1.8 and Python 3](http://www.marinamele.com/taskbuster-django-tutorial)
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- [TDD with Django, from scratch: a beginner's intro to testing and web development](http://www.pyvideo.org/video/3509/tdd-with-django-from-scratch-a-beginners-intro)
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- [Cómo crear un servicio REST en 30 líneas de código de Django y Python](http://www.genbetadev.com/desarrolloparastartups/como-crear-un-servicio-rest-en-30-lineas-de-codigo-de-django-y-python)
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- [Django Development With Docker Compose and Machine](https://realpython.com/blog/python/django-development-with-docker-compose-and-machine/)
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- [Installing and Configuring Django Web Framework with Virtual Environments in CentOS/Debian](http://www.tecmint.com/install-and-configure-django-web-framework-in-centos-debian-ubuntu/)
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- [realpython.com: Development and Deployment of Cookiecutter-Django via Docker](https://realpython.com/blog/python/development-and-deployment-of-cookiecutter-django-via-docker/) A Cookiecutter template for creating production-ready Django projects quickly.
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- [github.com: Django app + RESTful API for automatic billing](https://github.com/presslabs/silver/)
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- [CodingEntrepreneurs youtube channel](https://www.youtube.com/user/CodingEntrepreneurs)
|
||
- [Interested in Learn Django 1.9? Check out my free series on YouTube](https://www.youtube.com/playlist?list=PLEsfXFp6DpzQFqfCur9CJ4QnKQTVXUsRy)
|
||
- [Getting Started with Django REST Framework (DRF) and AngularJS (Part 1)](http://engineroom.trackmaven.com/blog/getting-started-drf-angularjs-part-1/)
|
||
- [Getting Started with Django REST Framework (DRF) and AngularJS (Part 2)](http://engineroom.trackmaven.com/blog/getting-started-drf-angularjs-part-2/)
|
||
- [Part 2 Supplementary Code](https://github.com/TrackMaven/getting-started-with-drf-angular/tree/part-2)
|
||
- [webcodegeeks.com: Python Django Tutorial](http://www.webcodegeeks.com/python/python-django-tutorial/)
|
||
- [digitalocean.com: Building a REST API With Django REST Framework](https://www.digitalocean.com/community/tech_talks/building-a-rest-api-with-django-rest-framework)
|
||
- [github.com: Django Blog Site](https://github.com/AmineAsli/django-blog-site) A simple blog application based on Django
|
||
- [github.com: Django Sage Painless](https://github.com/sageteam-org/django-sage-painless) A handy tool for generating Django-based backend projects without coding. On the other hand, it is a code generator of the Django framework.
|
||
- [dev.to: Data Migration from Monolith to Microservice in Django](https://dev.to/balwanishivam/data-migration-from-monolith-to-microservice-in-django-5b9m)
|
||
|
||
## Python Flask Lightweight Framework (microframework)
|
||
- Flask is a Python lightweight web application development framework with simplicity and extensibility. Flask is called **“microframework”** because of using a simple core and extensions are used to add other functions.
|
||
- [Flask Documentation 🌟](https://flask.palletsprojects.com/)
|
||
- [The Flask Mega-Tutorial: Now with Python 3 Support](http://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-now-with-python-3-support)
|
||
- [realpython.com: Discover Flask, Part 1 - Setting Up a Static Site ](https://realpython.com/blog/python/introduction-to-flask-part-1-setting-up-a-static-site/)
|
||
- [Two-Factor Authentication with Authy](https://www.twilio.com/docs/tutorials/walkthrough/two-factor-authentication/python/flask)
|
||
- [devbattles.com: Python Flask, Part 1: Hello World!](http://www.devbattles.com/en/sand/post-1757-Python_Flask_Part_1_Hello_World)
|
||
- [mherman.org: Scaling Flask with Kubernetes 🌟](https://mherman.org/presentations/flask-kubernetes/)
|
||
- [towardsdatascience.com: Create and Deploy a Simple Web Application with Flask and Heroku](https://towardsdatascience.com/create-and-deploy-a-simple-web-application-with-flask-and-heroku-103d867298eb)
|
||
- [towardsdatascience.com: How to deploy a Flask API in Kubernetes and connect it with other micro-services](https://towardsdatascience.com/how-to-deploy-a-flask-api-in-kubernetes-and-connect-it-with-other-micro-services-af16965b67fe) A hands-on tutorial on how to implement your micro-service architecture using the powerful container orchestration tool Kubernetes.
|
||
- [kdnuggets.com: How to Deploy a Flask API in Kubernetes and Connect it with Other Micro-services](https://www.kdnuggets.com/2021/02/deploy-flask-api-kubernetes-connect-micro-services.html)
|
||
- [dev.to: Getting Started with Flask and Docker](https://dev.to/ken_mwaura1/getting-started-with-flask-and-docker-3ie8)
|
||
|
||
## FastAPI
|
||
- [FastAPI 🌟](https://fastapi.tiangolo.com/)
|
||
- [blog.adnansiddiqi.me: Create your first REST API in FastAPI 🌟](http://blog.adnansiddiqi.me/create-your-first-rest-api-in-fastapi/) A step by step guide creating high performance APIs in Python
|
||
|
||
## Python pip and pip's wheel
|
||
- [wheel replaces Python's eggs](https://wheel.readthedocs.org)
|
||
- [Speed up pip install](http://blog.ionelmc.ro/2015/01/02/speedup-pip-install/)
|
||
|
||
## Python Feature Flags
|
||
- [Python Feature Flag Resources/Solutions](http://featureflags.io/python-feature-flags/)
|
||
- [reddit: Ship Better Python Using Feature Flags](https://www.reddit.com/r/Python/comments/3zl3g4/ship_better_python_using_feature_flags/)
|
||
|
||
## Python testing
|
||
- [reddit: Real examples of unit testing](https://www.reddit.com/r/learnpython/comments/3zl0p6/real_examples_of_unit_testing/)
|
||
- [Testing Python](http://it-ebooks.info/book/3778/)
|
||
- [Profiling Python using cProfile: a concrete case](https://julien.danjou.info/blog/2015/guide-to-python-profiling-cprofile-concrete-case-carbonara)
|
||
- [nylas.com: Profiling Python in Production](https://nylas.com/blog/performance) How We Reduced CPU Usage by 80% through Python Profiling
|
||
- [gabbi - Declarative HTTP testing library pypi](http://pypi.python.org/pypi/gabbi/)
|
||
- [tracker: A time machine for debugging pesky stateful errors](https://github.com/madisonmay/tracker)
|
||
|
||
## Data Science.
|
||
|
||
### Python Pandas and pivot tables
|
||
- [oreilly.com: how to use pivot tables in Pandas step-by-step](https://www.oreilly.com/learning/pivot-tables)
|
||
- [pbpython.com: Practical Business Python](http://pbpython.com/)
|
||
- [pbpython.com: Pandas Pivot Table Explained](http://pbpython.com/pandas-pivot-table-explained.html)
|
||
- [pbpython.com: Collecting Data with Google Forms and Pandas](http://pbpython.com/pandas-google-forms-part1.html)
|
||
- [Reshaping in Pandas – Pivot, Pivot-Table, Stack and Unstack explained with Pictures](https://nikolaygrozev.wordpress.com/2015/07/01/reshaping-in-pandas-pivot-pivot-table-stack-and-unstack-explained-with-pictures/)
|
||
- [pandas.pydata.org: Reshaping by pivoting DataFrame objects](http://pandas.pydata.org/pandas-docs/stable/reshaping.html)
|
||
- [analyticsvidhya.com: A Complete Tutorial to Learn Data Science with Python from Scratch](http://www.analyticsvidhya.com/blog/2016/01/complete-tutorial-learn-data-science-python-scratch-2/)
|
||
- [analyticsvidhya.com: Tutorial – Python List Comprehension With Examples](http://www.analyticsvidhya.com/blog/2016/01/python-tutorial-list-comprehension-examples/)
|
||
- [analyticsvidhya.com: Cheat Sheet for Exploratory Data Analysis in Python 🌟](https://www.analyticsvidhya.com/blog/2015/06/infographic-cheat-sheet-data-exploration-python)
|
||
|
||
### PandasDatabase
|
||
- [PandasDatabase is a RESTful database engine application built on top of Pandas](https://pypi.python.org/pypi/pddb/)
|
||
|
||
### NumPy
|
||
- [towardsdatascience.com: NumPy Basics Cheat Sheet (2021), Python for Data Science](https://towardsdatascience.com/numpy-basics-cheat-sheet-2021-python-for-data-science-89c483773880) The absolute basics for beginners learning NumPy in 2021
|
||
|
||
### Orchest. Data Pipelines with Python and R code. No frameworks. No YAML
|
||
- [orchest.io](https://www.orchest.io/) - [orchest/orchest](https://github.com/orchest/orchest) Build data pipelines, the easy way 🛠️. No frameworks. No YAML. Just write Python and R code in Notebooks.
|
||
|
||
## Python standard library Modules and Code
|
||
- [Python 3 standard library Module of the Week, Doug Hellmann](https://pymotw.com)
|
||
- [Python 2 standard library Module of the Week, Doug Hellmann](https://pymotw.com/2)
|
||
- [Dead simple {for devs} python crawler (script) for extracting structured data from any website into CSV](http://blog.webhose.io/2015/08/16/dead-simple-for-devs-python-crawler-script-for-extracting-structured-data-from-any-almost-website-into-csv/)
|
||
- [Python Multi-Process Execution Pool](https://github.com/XI-lab/PyExPool)
|
||
|
||
## Python and AWS
|
||
- [Ansible and AWS: cloud IT automation management](http://cloudacademy.com/blog/ansible-aws/)
|
||
- [Python and AWS Cookbook. Boto library](http://it-ebooks.info/book/542/)
|
||
- [Boto](https://github.com/boto/boto)
|
||
- [Migrating to Boto3](https://aws.amazon.com/es/blogs/developer/migrating-to-boto3/)
|
||
- [Managing the Cloud with a Few Lines of Python (EuroPython 2014)](http://pyvideo.org/video/2987/managing-the-cloud-with-a-few-lines-of-python)
|
||
- [ec2-ssh-yplan: A pair of command line utilities for finding and SSH-ing into your Amazon EC2 instances by tag (such as ‘Name’)](https://pypi.python.org/pypi/ec2-ssh-yplan/)
|
||
- [dashbird.io: Explaining boto3: how to use any AWS service with python](https://dashbird.io/blog/boto3-aws-python/)
|
||
- [dashbird.io: 8 Must-Know Tricks to Use S3 More Effectively in Python](https://dashbird.io/blog/aws-s3-python-tricks/)
|
||
- [hands-on.cloud: Quick Intro To Python 3 for AWS Automation Engineers 🌟](https://hands-on.cloud/quick-introduction-to-python-for-aws-automation-engineers/)
|
||
|
||
## Python Tools
|
||
- [PyInstaller is a program that freezes (packages) Python programs into stand-alone executables, under Windows, Linux, Mac OS X, FreeBSD, Solaris and AIX](http://www.pyinstaller.org/)
|
||
- [PyInstaller official GIT repository](https://github.com/pyinstaller/pyinstaller/)
|
||
- [ZipPy: Python3 on top of the JVM (faster than PyPy!)](https://bitbucket.org/ssllab/zippy)
|
||
- [DictMySQL: A MySQL class for more convenient database manipulation with Python dictionary](https://github.com/ligyxy/DictMySQL)
|
||
- [WinPython: Portable Scientific Python 2/3 32/64bit Distribution for Windows](http://sourceforge.net/projects/winpython/)
|
||
- [Kite 🌟](https://www.kite.com/) Kite is the best autocompletions engine available for Python, powered by AI. Check it out — It's free!
|
||
- [pyxll-jupyter: Integration for Jupyter notebooks and Microsoft Excel](https://github.com/pyxll/pyxll-jupyter)
|
||
- [medium: Build Interactive CLI Tools in Python](https://medium.com/codestory/build-interactive-cli-tools-in-python-47303c50d75) Bored of traditional CLIs? Develop interactive command lines with PyInquirer
|
||
- [Pydeps 🌟](https://github.com/thebjorn/pydeps) Python Module Dependency graphs
|
||
|
||
### Web Scraping with Python
|
||
- [Scrapy](http://scrapy.org/) An open source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.
|
||
- [First web scraper](https://first-web-scraper.readthedocs.org) A step-by-step guide to writing a web scraper with Python.
|
||
- [TWINT - Twitter Intelligence Tool](https://github.com/twintproject/twint) Twint is an advanced Twitter scraping tool written in Python that allows for scraping Tweets from Twitter profiles without using Twitter's API.
|
||
|
||
## Jython
|
||
- [Jython is a language that makes it easy to create projects with libraries from Python and Java.](http://www.oraclejavamagazine-digital.com/javamagazine_twitter/20151112?pg=43#pg43)
|
||
|
||
## Eclipse IDE
|
||
- [opensource.com: How to use Python to hack your Eclipse IDE](https://opensource.com/life/16/2/how-use-python-hack-your-ide)
|
||
|
||
## Python Libraries
|
||
- [Click 🌟](https://click.palletsprojects.com/) is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box.
|
||
- [towardsdatascience.com: Auto Import Python Libraries](https://towardsdatascience.com/auto-import-python-libraries-d095a11b4cca) Using Pyforest to import important python libraries
|
||
- [PyGithub 🌟](https://github.com/PyGithub/PyGithub) Typed interactions with the GitHub API v3 - [pygithub.readthedocs.io](https://pygithub.readthedocs.io/) PyGitHub is a Python library to access the GitHub REST API. This library enables you to manage GitHub resources such as repositories, user profiles, and organizations in your Python applications.
|
||
|
||
## Python Snippets
|
||
- [python.plainenglish.io: 12 Python Snippets That Will Boost Your Productivity](https://python.plainenglish.io/python-snippets-7e8dcbeae26e)
|
||
|
||
## Slides
|
||
<details>
|
||
<summary>Click to expand!</summary>
|
||
|
||
<center>
|
||
<p style=" margin: 12px auto 6px auto; font-family: Helvetica,Arial,Sans-serif; font-style: normal; font-variant: normal; font-weight: normal; font-size: 14px; line-height: normal; font-size-adjust: none; font-stretch: normal; -x-system-font: none; display: block;"> <a title="View PEP-8 Cheatsheet (2009) on Scribd" href="https://www.scribd.com/document/207247675/PEP-8-Cheatsheet-2009#from_embed" style="text-decoration: underline;" >PEP-8 Cheatsheet (2009)</a> by <a title="View Veeraj Shenoy's profile on Scribd" href="https://www.scribd.com/user/247744721/Veeraj-Shenoy#from_embed" style="text-decoration: underline;" >Veeraj Shenoy</a> on Scribd</p><iframe class="scribd_iframe_embed" src="https://www.scribd.com/embeds/207247675/content?start_page=1&view_mode=scroll&access_key=key-10eg916shk5wa33gdrtb&show_recommendations=true" data-auto-height="false" data-aspect-ratio="1.2941176470588236" scrolling="no" id="doc_1222" width="100%" height="600" frameborder="0"></iframe>
|
||
</center>
|
||
</details>
|
||
|
||
## Tweets
|
||
<details>
|
||
<summary>Click to expand!</summary>
|
||
|
||
<center>
|
||
<blockquote class="twitter-tweet tw-align-center" data-lang="es"><p lang="en" dir="ltr">29 common beginner Python errors on one page via <a href="https://t.co/Ctvy84KXKx">https://t.co/Ctvy84KXKx</a> <a href="https://twitter.com/hashtag/Python?src=hash">#Python</a> <a href="https://twitter.com/hashtag/Sysadmin?src=hash">#Sysadmin</a> <a href="https://twitter.com/hashtag/Programming?src=hash">#Programming</a> <a href="https://twitter.com/hashtag/Unix?src=hash">#Unix</a> <a href="https://twitter.com/hashtag/Linux?src=hash">#Linux</a> <a href="https://t.co/vaZaJETNPU">pic.twitter.com/vaZaJETNPU</a></p>— nixCraft (@nixcraft) <a href="https://twitter.com/nixcraft/status/706530828092731393">6 de marzo de 2016</a></blockquote>
|
||
<script async src="//platform.twitter.com/widgets.js" charset="utf-8"></script>
|
||
|
||
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Python is a beautiful programming language. It contains really useful features that make writing code more efficient than ever. <br><br>Here are 5 tips for writing more efficient and compact code.<br><br>🧵🧵🧵</p>— Danny Steenman (@dannysteenman) <a href="https://twitter.com/dannysteenman/status/1314930561220313088?ref_src=twsrc%5Etfw">October 10, 2020</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
|
||
|
||
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">TOP Python Github repositories for you. <br><br>A Thread... 🧵<a href="https://twitter.com/hashtag/100DaysOfCode?src=hash&ref_src=twsrc%5Etfw">#100DaysOfCode</a> <a href="https://twitter.com/hashtag/CodeNewbies?src=hash&ref_src=twsrc%5Etfw">#CodeNewbies</a></p>— Ankur💻🎧💪 (@TheAnkurTyagi) <a href="https://twitter.com/TheAnkurTyagi/status/1318179578720919552?ref_src=twsrc%5Etfw">October 19, 2020</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
|
||
</center>
|
||
</details> |