Python Weekly (Issue 362 - August 30 2018)

Python Weekly - Issue 362Â

August 30, 2018

Python Weekly

Welcome to issue 362 of Python Weekly. Let's get straight to the links this week.

A practical programming course for office workers, academics, and administrators who want to improve their productivity.

News

We are calling out for speakers to share their Python knowledge (in the form of Talks, Workshop and Posters) which would intrigue the Python community at this event! We’re looking for proposals on every aspect of Python: from basic to advanced levels. 

Articles, Tutorials and Talks

Lesser-known but idiomatic Pandas features for those already comfortable with Pandas's basic functionality and concepts.

In this Django project we teach you how to build a basic video subscription website with Django and Stripe payments.

In this guide you will learn how to apply Neural Style Transfer with OpenCV and Python to both images and video streams.

In this tutorial, you will learn how to build a realtime table using Python(Flask) and Pusher Channels. In the process, we are going to build a realtime flights status app.

This tutorial goes through the building blocks of reinforcement learning, showing how to train a neural network to play Flappy Bird using the PyTorch framework.

Django comes with a variety of command line utilities that can be either invoked using django-admin.py or the convenient manage.py script. A nice thing about it is that you can also add your own commands. Those management commands can be very handy when you need to interact with your application via command line using a terminal and it can also serve as an interface to execute cron jobs. In this tutorial you are going to learn how to code your own commands.

Learn how to build a basic social platform with the Python Flask web framework. In this video we review how to create a database, pull data in and out of that database, create a web server with python, and use python HTML templating to render a page for the user!

In this blog, we demonstrate how to use MLflow to experiment Keras Models. In particular, we build and experiment with a binary classifier Keras/TensorFlow model using MLflow for tracking and experimenting.

Python Jobs of the Week

Verve is building a global platform that enables advocates to sell the products they love to their friends. Our entire service is built using Python 3, Django, GraphQL, React.js and SASS and we need a Senior Backend Engineer to join our team and contribute significantly to the software and system design of our services.

Interesting Projects, Tools and Libraries

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Agile Data Science Workflows made easy with Python and Spark.

The Python scientific stack, compiled to WebAssembly. It provides transparent conversion of objects between Javascript and Python. When inside a browser, this means Python has full access to the Web APIs.

Salmon is a pure Python mail server designed to create robust and complex mail applications in the style of modern web frameworks. Salmon is designed to sit behind a traditional mail server in the same way a web application sits behind Apache or Nginx. It has all the features of a web application stack (templates, routing, handlers, state machine) and plays well with other libraries, such as Django and SQLAlchemy.

A CBV to handle multiple forms in one view.

DUGA is a raycaster made in Python3 with Pygame. It is a game built on top of a simple engine of the same name.

High Performance Python Data driven programming framework for Web Crawler, ETL, Data pipeline work

Generate call graphs from VBA code, for easier analysis of malicious documents.

Imaginary C2 is a python tool which aims to help in the behavioral (network) analysis of malware. Imaginary C2 hosts a HTTP server which captures HTTP requests towards selectively chosen domains/IPs. Additionally, the tool aims to make it easy to replay captured Command-and-Control responses/served payloads.

Meshroom is a free, open-source 3D Reconstruction Software based on the AliceVision framework.

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Upcoming Events and Webinars

There will be following talks

  • MLflow: Infrastructure for a Complete Machine Learning Life Cycle

  • Data Visualization for Scientific Discover

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