Awesome Python Weekly

Popular News and Articles

• 
  Modules and packages: how to create a Python project

  www.internalpointers.com
• 
  Kite releases Line-Of-Code Completions for Python and moves away from the cloud

  owlskip.com
• 
  Tutorial:Realtime Flight Tracking with Pandas and Bokeh

  www.geodose.com
• 
  

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• 
  4 things I want to see in Python 4.0 – Hacker Noon

  hackernoon.com
• 
  Using Python to detect (and trade) technical chart patterns in stock market

  medium.com
• 
  I Created an Arc Reactor! ...Then my wife took it.

  anthonyfox.io
• 
  The immutability in Python

  threader.app
• 
  

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• 
  A few frustrations with Python’s type annotation system

  rcalsaverini.github.io
• 
  Why I chose Flask to build sr.ht's mini-services

  drewdevault.com
• 
  Intro to machine learning

  www.nintyzeros.com

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Trending packages and projects

• Flask

  » Flask    » Python

  The Python micro framework for building web applications.

  
• Pipenv

  » Environment Management    » Packaging

  Python Development Workflow for Humans.

  
• AIOHTTP

  » Async    » HTTP

  Asynchronous HTTP client/server framework for asyncio and Python

  
• faker

  » Fake    » Fake Data

  Faker is a Python package that generates fake data for you.

• Ray

  » Concurrency and Parallelism    » Data Science

  Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

  
• salabim

  » Science   

  salabim - discrete event simulation in Python

• Flake8

  » Code Analysis and Linter    » Linter

  flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.

  
• Wallaroo

  » API    » Concurrency and Parallelism

  Distributed Stream Processing

  
• FlexGet

  » Automation    » Downloader

  The official FlexGet repository

  
• Nuitka

  » Compiler    » Distribution

  Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, and 3.10. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.