Issue #156


March 6, 2015

Django Rest Framework 3.1, IPython 3.0, rtv and much more. 

Issue #156: Degen

Weekly dose of all things Python.
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Django REST Framework 3.1 Released!
Tons of improvements and support for new Django 1.8 fields, more details after the jump!
Shared by @myusuf3

Phasing Out Django Packages APIv1 & APIv2
Heads up to those of you relying on these APIs changes are a coming.
Shared by @myusuf3

IPython 3.0 Released!
This iteration of IPython is setting up ground work for it to take over the world. Details after the jump!
Shared by @myusuf3


Matlab user switching to Python
Shared by @mgrouchy



Kalman and Bayesian Filters in Python
This is a Kalman Filter textbook using Ipython Notebook for its creation. From the Description: "This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs".
Shared by @mgrouchy

A generic django application to manage your newsletters, supports Mailchimp and Mailjet.
Shared by @myusuf3

Awesome set of helpers built on top of git with Python. I especially like the init from remote repository functionality.
Shared by @myusuf3

How cool is this! A sentry turret style robot which will detect motion, then track and fire at the object. Uses Raspberry PI + OpenCV and a GPIO pins connected to a servo hat from adafruit.
Shared by @mgrouchy

View reddit in your Terminal.
Shared by @mgrouchy

Docker image for an IPython 3/Jupyter Notebook and Terminal with full Anaconda Install
Shared by @mgrouchy
Visual reverse engineering tool showing some of the current techniques.
Shared by @mgrouchy

A list of Python Standard Libraries (2.6-7, 3.2-4).
Shared by @mgrouchy


Getting Amazon Reviews for Library Books with Python
Cool post, the author queries a library catalog and returns them with their amazon ratings.
Shared by @mgrouchy

Data-processing and machine learning with Python
Talk slides and accompanying code in an iPython notebook(and github) for doing data processing and Machine Learning in Python.
Shared by @halflings

Testing Race Conditions In Python
Learn how to reproduce, test for and mitigate race condition issues in your Python code with this article.
Shared by @c_oreills

Micro-Optimizations in Python Code: Speeding up lookups
Shared by @mgrouchy

API Integration in Python - part 1
RealPython is at it again with this great guide to get you started dealing with API's including tips for writing your own API libraries.
Shared by @mgrouchy

Debug SQL in django test
Super useful tips for debugging SQL in Django tests.
Shared by @mgrouchy

Introduction to Machine Learning with Python and Scikit-Learn
Very detailed machine learning intro tutorial for machine learning with Scikit-learn. If this is something your interested in, this is definitely worth checking out.
Shared by @mgrouchy

ML Pitfalls: Measuring Performance (Part 1)
Nice look at measuring performance of your ML analysis. Check out part one here and stay tuned for part 2.
Shared by @mgrouchy

A* Interview #19: Glyph Lefkowitz
Great interview video with Glyph Lefkowitz creator of The Twisted Networking Framework.
Shared by @mgrouchy
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