Issue #184

Python S+

Sept. 18, 2015

Python S+
Python 3.5.0, PSF Community Mailing list, pyNES and much more.

Issue #184: Python S+

Weekly dose of all things Python.
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Call for Proposals - Swiss Python Summit
The first Swiss Python Conference is coming up February 5th, 2016 at HSR University of Applied Sciences in Rapperswil. Thinking about attending and want to give a talk, click through to submit a talk proposal!
Shared by @myusuf3

Python 3.5.0 Released!
No more RC's, the release of Python 3.5.0 is upon us! Click through to check out the release notes and download.
Shared by @myusuf3

New PSF Community Mailing List
Trying to follow along with whats happening in the PSF? Check out the new PSF community mailing list.
Shared by @mgrouchy

Jython 2.7.1 beta1 released!
Click through for more details about the release. Get the code and report any bugs!
Shared by @mgrouchy


Ask microsoft to include Python in Windows by default
Shared by @myusuf3



Python bindings for html5ever, a high performance HTML5 parser written in Rust, using CFFI.
Shared by @mgrouchy

Amazing! Capture some of that childhood nostalgia (if you are old enough) and write NES Games in Python.
Shared by @mgrouchy

A extensible library for Settings and Code separation. Meant to follow the 12Factor app recommendations.
Shared by @myusuf3

A Python framework for writing high-performance assembly kernels. PeachPy can directly generate ELF, MS COFF and Mach-O object files and assembly listings for Golang toolchain.
Shared by @myusuf3

A Python implementation of LightFM, a hybrid recommendation algorithm.
Shared by @mgrouchy

A complete solution for development, deployment, configuration and discovery of microservices. Develop good practices in making your platform more service oriented.
Shared by @myusuf3

This is pretty cool! Looks at a video's subtitles to determine the most important sentences in a video then creates a video of the regions where those sentences take place! Click through to the README to check out some examples.
Shared by @myusuf3

Very cool. A standalone development environment on OSX for Jupyter notebooks for doing data science in Python.
Shared by @mgrouchy


Ball Tracking with OpenCV
Always something cool coming from PyImageSearch! For the blogs 100th post the author demonstrates how you would track a coloured ball using computer vision techniques and OpenCV.
Shared by @myusuf3

Adding a Simple GUI to Your Pandas Script
Pretty straightforward tutorial to get up and running with Gooey for create a simple GUI for your Pandas scripts.
Shared by @mgrouchy

Hacking the Random Walk Hypothesis
Learn about the Random Walk Hypothesis, about the creation of a test suite to determine randomness and then do some experiments to determine the randomness of financial markets.
Shared by @mgrouchy

Using Machine Learning to Provide Recommendations
Another nice tutorial over at code mentor. Very nice and detailed tutorial shows you how to use machine learning to provide in this case wine recommendations to users based on users wine review data.
Shared by @myusuf3

Book Chapter: "A Web Crawler With asyncio Coroutines"
Written by A. Jesse Jiryu Davis and Guido van Rossum, a chapter in the upcoming 500 lines or less book. Worth reading.
Shared by @mgrouchy

Using the SQLite JSON Extension with Python
Very good tutorial demonstrating how to work with and install SQLite's new JSON Extension.
Shared by @myusuf3

Straightening Loops: How to Vectorize Data Aggregation with pandas and NumPy
A look at alternatives to loops in your software. These alternatives can offer performance improvements of multiple orders of magnitude as well as significant readability improvements in the code you write.
Shared by @mgrouchy

Analyzing 1.7 Billion Reddit Comments with Blaze and Impala
If you are interested in the Blaze Ecosystem this will be very relevant to your interests. In this post the author demonstrates how to analyze Reddit comments with with Blaze and impala. The author starts from Installing dependencies and continues to preparing the data and finally the analysis.
Shared by @mgrouchy

Build massively scalable RESTFul API with Falcon and PyPy
We don't see too many blog posts talking about Falcon and this is a great post discussing building an API with Falcon and PyPy, worth reading!
Shared by @Narenarya3

Building a self-contained Python 3 application using PyPy
Shared by @chadlung
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