Issue #138


Oct. 24, 2014

PyPy3 2.4.0 released, lenscap, prospector and much more.

Issue #138: Strong  

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PyPy3 2.4.0 Released!
We're pleased to announce the availability of PyPy3 2.4.0! More details after the jump.
Shared by @myusuf3


Becoming Better With Python
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IS Software Developer - Python (San Francisco, CA) 
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Full Stack Engineer - Python/Django (San Francisco, CA) 
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Lenscap is a static site generator for creating beautiful photo narratives
Shared by @myusuf3

A Python library to combine types into structures, validate them, and transform your data based on simple descriptions.
Shared by @mgrouchy

Prospector is a tool to analyse Python code and output information about errors, potential problems, convention violations and complexity.
Shared by @myusuf3
A serialization system on built top of JSON that has a schema system, and performs input validation.
Shared by @mgrouchy

Built in OAuth dance support for your flask applications using requests and oauthlib.
Shared by @mgrouchy

A collection of utilities for managing your graphite clusters.
Shared by @mgrouchy

Pixie is a lightweight lisp suitable for both general use as well as shell scripting. The language is still in a "pre-alpha" phase and as such changes fairly quickly.
Shared by @myusuf3

A tool to do validation of your HTML generated from your Django app.
Shared by @mgrouchy

Interesting in using Django on Google App Engine? Djangae attempts to be the best way to solve this problem.
Shared by @mgrouchy

Make your vim configuration portable and take your settings with you everywhere.
Shared by @mgrouchy

Cymem provides two small memory-management helpers for Cython.
Shared by @mgrouchy

Simple Vector Graphics for Python! You can see examples of Gizeh in action (combined with MoviePy to make animations) in this blog post.
Shared by @myusuf3

This is a trading platform is an interactive platform that supports real-time financial data visualization, as well as historical data lookup.
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A forum software written in Flask.
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A micro library for retrying failing operations.
Shared by @itsnauman


High Performance Python Extensions: Part 1
A series of articles on writing High Performance C Extensions for Python starts here. In this article the author shows how to write a Python extension in C using NumPy's C API. Check it out and Part 2 below.
Shared by @mgrouchy

subprocess.Popen() or Abusing a Home-grown Windows Executable
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Video Streaming with Flask
Detailed tutorial for Streaming video via your webcam with Flask.
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High Performance Python Extensions: Part 2
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Enlivepy A Different Approach to Html Templating in Python
An Interesting approach for dealing with Templates is presented with a Django/Python version of the Clojure library Enlive. Nice article with examples.
Shared by @mgrouchy
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