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ImportPython Newsletter Issue 84

Worthy Read

Python has come a long way. So has job hunting.


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Listing of all Django books

books

Djangoweekly has a listing of all published Django books on one page. Note check publication date and which version of Django the book is using. 

Why should I use Python 3?

python3

The short answer is: because it’s the actively-developed version of the language, and you should use it for the same reason you’d use 2.7 instead of 2.6. If you’re here, I’m guessing that’s not enough. You need something to sweeten the deal. Well, friend, I have got a whole mess of sugar cubes just for you. 

Machine Learning Recipes with Josh Gordon

machine learningvideo

Series of Python Videos by Josh Gordon of Google teaching Machine learning basics. 

Fluent Python: The Power of Special Methods

pythonic

Pythonistas praise a good API by calling it “Pythonic.” That quality has much to do with proper use of the special methods used in the Python Data model, which define the essential behaviors that we expect in objects. Perhaps you’ve used Python for years. Do you really know it? This tutorial is intended for a Python programmer who has working/practical knowledge of the language plus an understanding of object-oriented programming, who now needs to learn how to write idiomatic APIs 

How to Create Django Signals

django

The Django Signals is a strategy to allow decoupled applications to get notified when certain events occur. Let’s say you want to invalidate a cached page everytime a given model instance is updated, but there are several places in your code base that this model can be updated. You can do that using signals, hooking some pieces of code to be executed everytime this specific model’s save method is trigged. In this tutorial I will present you the built-in signals and give you some general advices about the best practices. 

Semaphore Community: Getting Started with Behavior Testing in Python with Behave

testing

Learn how to write behavioral tests for your next Python application using the Behave library. 

Django 1.10 released

djangorelease

Full text search for PostgreSQL. New-style middleware to solve the lack of strict request/response layering of the old-style of middleware. Official support for Unicode usernames. Check release notes for more info. 

Automating OSINT: Dark Web OSINT With Python and OnionScan: Part One

security

You may have heard of this awesome tool called OnionScan that is used to scan hidden services in the dark web looking for potential data leaks. Recently the project released some cool visualizations and a high level description of what their scanning results looked like. What they didn’t provide is how to actually go about scanning as much of the dark web as possible, and then how to produce those very cool visualizations that they show. 

"Avoiding the Curse of Knowledge": Community Service Award Recipient Ned Batchelder

community

The Python Software Foundation recognized Batchelder with a Community Service Award for his tireless work helping run the Boston Python user group, being a regular speaker at conferences, maintaining coverage.py, and being a friendly face for the community on IRC and elsewhere 

Python 201: A multiprocessing tutorial

multiprocessing

The multiprocessing module was added to Python in version 2.6. It was originally defined in PEP 371 by Jesse Noller and Richard Oudkerk. The multiprocessing module allows you to spawn processes in much that same manner than you can spawn threads with the threading module. The idea here is that because you are now spawning processes, you can avoid the Global Interpreter Lock (GIL) and take full advantages of multiple processors on a machine. 

Django Channels and Celery Example - Vincent Zhang

djangocelery

In this tutorial, I will go over how to setup a Django Channels project to work with Celery and have instant notification when task starts and completes. Django Channels uses WebSockets to enable two-way communication between the server and browser client. It is assumed that the reader is comfortable with how to setup a normal Django project and we will only cover the parts relating to Channels and Celery. 

Getting Started with Deep Learning using Keras and Python

deep learning

Despite all the recent buzz about deep learning, the design and testing of a neural network pipeline may become a task for developers who aren't machine learning specialists. This tutorial is intended for a software developer who has intermediate experience in Python, plus some hands-on experience developing data pipelines and working with machine learning use cases, who now needs to learn how to build high-performance classifiers based on deep learning. 

udatetime now with ultra fast PyPy support

pypy

I just finished the performance optimized pure Python implementation of my RFC3339 date-time library udatetime for PyPy and Python 3.5. The benchmark say PyPy is now officially the fastest with udatetime. Again it’s astonishing how good PyPy performs. 

Continuum Analytics News: Dask and scikit-learn: a 3-Part Tutorial

scikit

Dask core contributor Jim Crist has put together a series of posts discussing some recent experiments combining Dask and scikit-learn on his blog, Marginally Stable. The tutorial spans three posts, which covers model parallelism, data parallelism and combining the two with a real-life dataset. 

Python’s Innards: Hello, ceval.c!

core python

The “Python’s Innards” series owes its existence, at least in part, to hearing one of the Python-Fu masters in my previous workplace say something about a switch statement so large that it was needed to break it up just so some compilers won’t choke on it. I remember thinking then: “Choke the compiler with a switch? Hrmf, let me see that code.” Turns out that this switch can be found in ./Python/ceval.c. 

Jobs

Python Developer - Delivery Hero Holding (m/f) at Delivery Hero

Berlin, Germany

Delivery Hero is building the next generation global online food-ordering platform. Our awesome international team already operates in 33 countries worldwide to ensure hungry customers get the fastest way to their favorite takeaway food.

Full Stack Python/Ruby Developer at Encast

Austin, TX, United States

If you are a developer who is passionate about building innovative products that scale and impact the world, Encast is looking for you. Encast offers smart developers a complex development ecosystem with short release cycles. US citizens ONLY. Local Austinites ONLY. No relos or visas.

 

         
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