Import Python: ImportPython Issue 90 - Real-time streaming data pipeline, generators, channels, and more

Motorway is a real-time data pipeline, much like Apache Storm - but made in Python :-) We use it over at Plecto and we're really happy with it - but we're continously developing it. The reason why we started this project was that we wanted something similar to Storm, but without Zookeeper and the need to take the pipeline down to update the topology.

This tutorial tries to teach event driven programming by making use of streaming API offered by twitter.

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In this guide we 'll cover generators in depth . We 'll talk about how and why to use them , the difference between generator functions and regular functions , the yield keyword , and provide plenty of examples.This guide assumes you have a basic knowledge of Python ( especially regular functions).Throughout this guide we are going to work towards solving a problem .

Python 3.6.0b1 is the first of four planned beta releases of Python 3.6, the next major release of Python, and marks the end of the feature development phase for 3.6. There are quite many new features have a look.

The Django team is pleased to announce that the Channels project is now officially part of the Django project, under our new Official Projects program. Channels is the effort to bring WebSockets, long-poll HTTP, and other non-request-response protocol and business logic handling to Django, as part of our ongoing effort to establish what makes a useful web framework in 2016.

Django makes unit & functional testing easy (especially with WebTest). Tests on routing, permissions, database updates and emails are all straightforward to implement but how do you test dates & time? You might for example want to test regular email notifications.

The idea behind Channels is quite simple. To understand the concept, let’s first walk through an example scenario, let’s see how Channels would process a request.

Open source has proven its value in many ways over the years. In many companies that value is purely in terms of consuming available projects and platforms. In this episode Zalando describes their recent move to creating and releasing a number of their internal projects as open source and how that has benefited their business. We also discussed how they are leveraging Python and a couple of the libraries that they have published.

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Only people with masters degrees or Ph.D’s work with machine learning professionally isn't true. The truth is you don’t need much maths to get started with machine learning, and you don’t need a degree to use it professionally. Here is Per Harald Borgen journey. Yes he is using Python.

I recently had to write nearly the same code in Go and Python on the same day, and I realized I had written it many times before in different languages. But it does point up some interesting language differences. This article explores many different ways to write the same code.

Unser Technical-Debt-Monster bereitet sich auf die nächste Episode mit uns vor und dieses Mal werden wir es nicht ohne einen Fullstack Magician besiegen. Zusammen mit einem gut balancierten Team wirst Du Dich in tiefe Abgründe begeben und mit neuen Erfahrungen und Fertigkeiten herauskommen.

Bare bottom simplest example of machine learning in TensorFlow.

TensorFlow Image Classifier Demo by @Sirajology on Youtube

Import any python project from github easily

A better python lambda syntax based on runtime in-memory source rewriting

Twitter Toolbox for Python.

:mailbox_with_mail: Command-line email client

A Python tool to export annotations and highlights from a Kobo SQLite file.