awesome-kubernetes/docs/python.md

Python

• Python Blogs and Forums
• Python docs
• Python Books
• Python Django Framework
• Python Flask Lightweight Framework (microframework)
• FastAPI
• Python pip and pip's wheel
• Python Feature Flags
• Python testing
• Data Science.
  • Python Pandas and pivot tables
  • PandasDatabase
  • NumPy
• Python standard library Modules and Code
• Python and AWS
• Python Tools
  • Web Scraping with Python
• Jython
• Eclipse IDE

Python Blogs and Forums

• digitalocean.com python 🌟
• Learn Python 'subreddit'
  • reddit: python cheat sheet
• Full Stack Python is an open book that explains each Python web application stack layer and provides the best web resources for those topics
  • Full Stack Python: Best Python Resources
• realpython.com
• LearnPython.org interactive Python tutorial
• Dough Hellmann - Python, OpenStack and Open Source
• The docker-py repository: an API client for docker written in Python
• Awesome Python. A curated list of awesome Python frameworks, libraries and software
• Awesome Django. A curated list of awesome Django apps, projects and resources
• pyvideo.org
• Talk Python To Me Podcast
  • Transcript for Episode #39: Getting your first dev job as a Python developer (part 1)
• Microsoft: Python Engineering
• blog.pythonlibrary.org 🌟
• nixCraft: Python Execute Unix/Linux Command Examples 🌟
• fedoralovespython.org 🌟

Python docs

• Python progression path - From apprentice to guru
• reddit: Why Python
• Python Anti-Patterns. The Little Book of Python Anti-Patterns and Worst Practice
• Setting up Python on OSX: UPDATED
• Python 3.4 Programming Tutorials - YouTube
  • Python mini-course
  • Web Development using Python & Django
  • A beginner's guide to web development with Python 2.7 / Django 1.7
  • I wish I knew these things when I learned Python
  • The Bottom-Line Single Main Difference Between Python 2 and 3
• 15 Essential Python Interview Questions
  • Python mini-quiz
• How do you handle the ORM problem? When do you say YES or NO to using ORM?
• Don't Make Us Say We Told You So: virtualenv for New Pythonistas
• commandlinefu.com: pip install into current directory without virtualenv
• Java Vs. Python - Which Programming Language is More Productive? - Infographic
• Talk Python To Me Podcast. Episode #36: Python IDEs with the PyCharm team
• My top 5 ‘new’ Python modules of 2015
• reddit.com: Modules every python developer should know
• reddit.com: My thoughts about moving from Python 2.7 to Python 3.x
• Why Python 3 exists
• stackoverflow: Create dictionary from splitted strings from list of strings
• Yagmail: Python e-mail library
• How To Deadlock Your Python With getaddrinfo()
• New String Formatting in Python 3.6
• en.wikibooks.org: Python Programming
• tqdm: Instantly make your python loops show a progress meter - just wrap any iterator with "tqdm(iterator)", and you're done!
• If you don't like exceptions, you don't like Python
• Stop writing code that will break on Python 4! 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.
• github: Python3 in one pic
• reddit.com: Functions vs. Classes
• Complexity of Python Operations
• reddit.com: Multiprocessing vs Threading?
  • Python Threads and the Global Interpreter Lock
• devbattles.com: Python list. Functions and Methods lists
• devbattles.com: Python: sorting lists by .sort () with - in simple words
• Create a GUI Application Using Qt and Python in Minutes: Example Web Browser
• Python command line oneliners
• "Learn Python" Overtakes "Learn Java" on Google Trends 🌟
• Python gains the upper hand against Perl, PHP, and Ruby
• Python FAQ: Why should I use Python 3? 🌟
• stackoverflow: Problems installing python3 on RHEL 🌟
• PEP 8 Cheatsheet 🌟
• Lists vs. Tuples A common beginner Python question: what's the difference between a list and a tuple?
• linuxconfig.org: python tuples 🌟
• digitalocean.com: How To Use the Python Map Function 🌟
• thenextweb.com: 6 practical tricks every Python developer should have
• dzone: Best of DZone: Python 🌟
• digitalocean.com: How To Code in Python 3 🌟
• towardsdatascience.com: Top 11 Github Repositories to Learn Python 🌟 Popular GitHub repositories for learning Python
• tryolabs.com: Top 10 Python libraries of 2020
• blog.logrocket.com: Django REST framework alternatives
• towardsdatascience.com: Unexpected Size of Python Objects in Memory How much memory does a Python object take on memory?
• learnsteps.com: DevOps Interview Questions: Important Python questions
• aigents.co: Data Structures and Python 🌟
• doppler.com: Using Environment Variables in Python for App Configuration 🌟 Learn how experienced developers use environment variables in Python, including managing default values and typecasting.
• src-r-r.github.io: How To Property Set Up Python Logging With A Command Line Program
• realpython.com: Python Microservices With gRPC 🌟
• dashbird.io: How I Manage Credentials in Python Using AWS Secrets Manager
• freecodecamp.org: The Python Handbook 🌟
• towardsdatascience.com: 7 Must-Know Data Wrangling Operations with Python Pandas
• towardsdatascience.com: All The Important Features and Changes in Python 3.10
• towardsdatascience.com: Data Preprocessing in Python Pandas — Part 6 Dropping Duplicates A quick tutorial to drop duplicates using the Python Pandas library.
• antonz.org: How to make an awesome Python package in 2021
• freecodecamp.org: Python Map Function – How to Map a List in Python 3.0, With Example Code
• betterprogramming.pub: 3 Seemingly Simple Python Features That Confuse Beginners
• analyticsindiamag.com: Object-Oriented Programming with Python
• towardsdatascience.com: Python loops: Some beginner-friendly looping challenges Looping through lists, tuples, dictionaries and strings.
• lambdatest.com: Python Tutorial 🌟
• analyticsvidhya.com: Top Online Platforms to Learn Python
• towardsdatascience.com: Master Label Processing In Python The full tutorial on working with string-type data in Python.

29 common beginner Python errors on one page via https://t.co/Ctvy84KXKx #Python #Sysadmin #Programming #Unix #Linux pic.twitter.com/vaZaJETNPU

— nixCraft (@nixcraft) 6 de marzo de 2016

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PEP-8 Cheatsheet (2009) by Veeraj Shenoy on Scribd

Python Books

• Python Data Science Handbook 🌟 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.

Python Django Framework

• gettopical.com: Get Django Latest News
• Learn Python Django in 4 Hours
• realpython.com: Django Development With Docker Compose and Machine
• realpython.com: Fun With Django's New Postgres Features
• realpython.com: Deploying a Django App to AWS Elastic Beanstalk
• TaskBuster Django Tutorial, made with Django 1.8 and Python 3
• TDD with Django, from scratch: a beginner's intro to testing and web development
• Cómo crear un servicio REST en 30 líneas de código de Django y Python
• Django Development With Docker Compose and Machine
• Installing and Configuring Django Web Framework with Virtual Environments in CentOS/Debian
• realpython.com: Development and Deployment of Cookiecutter-Django via Docker A Cookiecutter template for creating production-ready Django projects quickly.
• github.com: Django app + RESTful API for automatic billing
• CodingEntrepreneurs youtube channel
  • Interested in Learn Django 1.9? Check out my free series on YouTube
• Getting Started with Django REST Framework (DRF) and AngularJS (Part 1)
  • Getting Started with Django REST Framework (DRF) and AngularJS (Part 2)
  • Part 2 Supplementary Code
• webcodegeeks.com: Python Django Tutorial

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 🌟
• The Flask Mega-Tutorial: Now with Python 3 Support
• realpython.com: Discover Flask, Part 1 - Setting Up a Static Site
• Two-Factor Authentication with Authy
• devbattles.com: Python Flask, Part 1: Hello World!
• mherman.org: Scaling Flask with Kubernetes 🌟
• towardsdatascience.com: Create and Deploy a Simple Web Application with Flask and Heroku
• towardsdatascience.com: How to deploy a Flask API in Kubernetes and connect it with other micro-services 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

FastAPI

• FastAPI 🌟
• 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
• Speed up pip install

Python Feature Flags

• Python Feature Flag Resources/Solutions
• reddit: Ship Better Python Using Feature Flags

Python testing

• reddit: Real examples of unit testing
• Testing Python
• Profiling Python using cProfile: a concrete case
• nylas.com: Profiling Python in Production How We Reduced CPU Usage by 80% through Python Profiling
• gabbi - Declarative HTTP testing library pypi
• tracker: A time machine for debugging pesky stateful errors

Data Science.

Python Pandas and pivot tables

• oreilly.com: how to use pivot tables in Pandas step-by-step
• pbpython.com: Practical Business Python
  • pbpython.com: Pandas Pivot Table Explained
  • pbpython.com: Collecting Data with Google Forms and Pandas
• Reshaping in Pandas – Pivot, Pivot-Table, Stack and Unstack explained with Pictures
• pandas.pydata.org: Reshaping by pivoting DataFrame objects
• analyticsvidhya.com: A Complete Tutorial to Learn Data Science with Python from Scratch
• analyticsvidhya.com: Tutorial – Python List Comprehension With Examples
• analyticsvidhya.com: Cheat Sheet for Exploratory Data Analysis in Python 🌟

PandasDatabase

• PandasDatabase is a RESTful database engine application built on top of Pandas

NumPy

• towardsdatascience.com: NumPy Basics Cheat Sheet (2021), Python for Data Science The absolute basics for beginners learning NumPy in 2021

Python standard library Modules and Code

• Python 3 standard library Module of the Week, Doug Hellmann
• Python 2 standard library Module of the Week, Doug Hellmann
• Dead simple {for devs} python crawler (script) for extracting structured data from any website into CSV
• Python Multi-Process Execution Pool

Python and AWS

• Ansible and AWS: cloud IT automation management
• Python and AWS Cookbook. Boto library
• Boto
• Migrating to Boto3
• Managing the Cloud with a Few Lines of Python (EuroPython 2014)
• ec2-ssh-yplan: A pair of command line utilities for finding and SSH-ing into your Amazon EC2 instances by tag (such as ‘Name’)

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
  • PyInstaller official GIT repository
• ZipPy: Python3 on top of the JVM (faster than PyPy!)
• DictMySQL: A MySQL class for more convenient database manipulation with Python dictionary
• WinPython: Portable Scientific Python 2/3 32/64bit Distribution for Windows
• Kite 🌟 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
• medium: Build Interactive CLI Tools in Python Bored of traditional CLIs? Develop interactive command lines with PyInquirer

Web Scraping with Python

• Scrapy An open source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.
• First web scraper A step-by-step guide to writing a web scraper with Python.
• TWINT - Twitter Intelligence Tool 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.

Eclipse IDE

• opensource.com: How to use Python to hack your Eclipse IDE

Python is a beautiful programming language. It contains really useful features that make writing code more efficient than ever.

Here are 5 tips for writing more efficient and compact code.

🧵🧵🧵

— Danny Steenman (@dannysteenman) October 10, 2020

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TOP Python Github repositories for you.

A Thread... 🧵#100DaysOfCode #CodeNewbies

— Ankur💻🎧💪 (@TheAnkurTyagi) October 19, 2020

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Python has really useful features that make writing code more efficient than ever.

Here are 5 tips for writing better and more compact Python code.

🧵🧵🧵👇👇👇

— Danny (@dannysteenman) January 24, 2021

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