Python Weekly No 206

Articles, Tutorials and Talks

How to Track NBA Player Movements in Python
This post goes over how you can extract some extra information from the play by play movement animations on stats.nba.com.

Episode #22: CPython Internals and Learning Python with pythontutor.com
In this is episode, we talk with Philip Guo about the internals of the CPython interpreter as well as his project to develop a deeper understanding of how Python code executes atpythontutor.com. You'll learn how everything in CPython is an object, even though it's written in C and C doesn't support pure OO programming! 

Cohort Analysis with Python
This post walks you through what cohort analysis is and why it's commonly used in startups and other growth businesses. Then, we'll create one from a standard purchase dataset.

Building Python modules with Go 1.5
In this post we'll go through building Go shared libraries, then C Python modules, and finally put the things together to build Go Python modules.

Pytest vs Unittest vs Nose (PT002)
In this episode, I list my requirements for a framework and discuss how Pytest, Unittest, and Nose measure up to those requirements.

FSK Explained with Python
This article will go into a bit of the background of FSK and demonstrate writing a simulator in Python.

Podcast.__init__ Episode 20 - Static Site Generators
In this episode we had the opportunity to discuss the world of static site generators with Roberto Alsina of the Nikola project and Justin Mayer of the Pelican project. They explained what static site generators are and why you might want to use one. We asked about why you should choose a Python based static site generator, theming and markup support as well as metadata formats and documentation. We also debated what makes Pelican and Nikola so popular compared to other projects.

Parallelizing numpy array loops with Cython and MPI
This article walks you through a basic example of a numpy array processing function in Python and a few tricks to speed up the computationally intensive loops in parallel using Cython's Open MPI support.

Customer Segmentation in Python
In this post I'm going to talk about something that's relatively simple but fundamental to just about any business: Customer Segmentation. At the core of customer segmentation is being able to identify different types of customers and then figure out ways to find more of those individuals so you can... you guessed it, get more customers! In this post, I'll detail how you can use K-Means clustering to help with some of the exploratory aspects of customer segmentation.

Building extensions for Python 3.5

Python, Machine Learning, and Language Wars. A Highly Subjective Point of View


Books

Kivy Cookbook
Kivy Cookbook is a practical book that will guide you through the Kivy framework to develop apps and get your apps ready for distribution in App Store and Android devices.

Intermediate Python

An open source book that will open your mind to some nice corners of Python language. If you are a beginner, intermediate or even an advanced programmer there is something for you in this book.


Python Jobs of the Week

Senior Software Engineer - Python at Delivery Hero
Delivery Hero is building the next generation global online food ordering platform. Our international team operates in over 34+ countries worldwide. We feature an environment with people who are genuine, ambitious and fun. We are looking for passionate and smart people to join us on our mission. Our ideal candidate will be enthusiastic, innovative and good at "getting things done". So, would you like to play an active role in our future? If so, then there is an exciting job and a workplace in the heart of Berlin waiting for you! 
   
Back-end & API Developer at Yeti
Yeti is looking for an experienced back-end developer who has seen products through prototyping, building and launch. A back-end developer at Yeti is an engineer who loves working with data and solving challenging problems. They collaborate with front-end developers to ensure our applications can communicate seamlessly across multiple platforms. 
    
Senior Software Engineer at Skytap
Skytap is looking for talented senior level Software Engineers to join the team whose software automatically creates and manages self-service virtual data centers. As a member of our platform team, you will work with other highly skilled engineers to design and implement software to deliver scalable, highly available, and secure virtual data centers to our widely varying customers. 


Interesting Projects, Tools and Libraries

pyfolio
pyfolio is a Python library for performance and risk analysis of financial portfolios developed by Quantopian Inc. It works well with the Zipline open source backtesting library.

hendrix
A Python web server that makes async and offbeat network traffic easy, fun, and fast.

retroactive
Fun with time travel: Implementing retroactive data structures in Python.

Skier
Skier is a PGP public key keyserver, built on top of the Flask microframework, designed a direct replacement for SKS.

git-remote-dropbox
A transparent bridge between Git and Dropbox - use a Dropbox (shared) folder as a Git remote!

JMPY
Quick plotting and data visualization of pandas and numpy data.

PoetRNN
A python framework for learning and producing verse poetry.

MegBot
Facebook messenger groups have the ability to reach 100+ unread messages pretty quickly. At that point, you have to make a decision: miss out on the messages and risk missing an awesome discussion, or read every single line and risk oportunity cost. Now you don't have to make that decision! MegBot allows you to automate your Facebook message group summaries.

CGT
Computation Graph Toolkit (CGT) is a library for evaluation and differentiation of functions of multidimensional arrays.

botomatic
The botomatic package makes it easy to create Twitter bots in python. The package handles authentication, retrieving messages, processing the output, and publishing back to Twitter. 

continuous-docs
Tutorial and example package for continuous documentation generation in Python.

Eigenstyle
Principal Component Analysis and Fashion.


New Releases

PyDev 4.3.0
The main focus on this release was on ironing out the new search dialog (which makes searching even huge codebases almost instant). Also, there was a high-priority fix which made the Python 3.x parser accept async and await as regular names and not only keywords.

MicroPython 1.4.5

Python 3.5.0rc2 

This post is going to be a greatest hits of my open-source libraries and blog posts concerning the use of SQLite with Python. I'll also share a list of some other neat SQLite projects that you may not have heard of before. 

Data science with Pandas; Baltimore City salary analysis

Wes McKinney started working on Pandas in 2008. Since then, Pandas has become one of the most popular and useful software components for the data scientist. For good reason; using Python, Pandas and iPython/Jupyter notebooks makes it simple and quick to perform analysis on various datasets. In this post, we perform some basic analysis on the City of Baltimore employee salary data from data.gov, but this technique can be used on a wide variety of data sets very easily. 

Data Analysis and Machine Learning Projects Notebook

I'm creating an example Python Machine Learning notebook for newcomers to the field. The goal is to show what an example ML project would look like from start to finish. I'd love your feedback or contributions to make it better. 

10 minutes Twitter Bot with Tweepy in Python

Twitter is social media site which allows user to share their thoughts in 140 characters with features like retweet, reply and follow other users etc. Lets make a twitter bot that gets a random Chuck Norris quote from the free API and post it to your twitter timeline after every 1 minutes. - See more at: http://scrolltest.com/10-minutes-to-make-our-twitter-bot-with-tweepy-in-python/#sthash.UeWWjdXT.dpuf 

Testing Django Views in Isolation - Matthew Daly's Blog

One thing you may hear said often about test-driven development is that as far as possible, you should test everything in isolation. However, it’s not always immediately clear how you actually go about doing this. In Django, it’s fairly easy to get your head around testing models in isolation because they’re single objects that you can just create, save, and then check their attributes. 

Continuous documentation generation in Python (tutorial and example)

Your Django Story: Meet Michela Ledwidge

Jessica McKellar won the 2015 Frank Willison Award - Python Software Foundation News

Customer Segmentation in Python

In this post I'm going to talk about something that's relatively simple but fundamental to just about any business: Customer Segmentation. At the core of customer segmentation is being able to identify different types of customers and then figure out ways to find more of those individuals so you can... you guessed it, get more customers! In this post, I'll detail how you can use K-Means clustering to help with some of the exploratory aspects of customer segmentation. 

How to write a custom Django Middleware | Andrea Grandi

To understand how a Django Middleware works we need to remember that the basic architecture of Django is composed by a request and a response. A middleware is something that stays in the middle. Let’s give a look to the next diagram, taken from official Django documentation: 

Projects

cgt - 259 Stars, 13 Fork