Python Weekly (Issue 375 November 29 2018)

Python Weekly - Issue 375

Python Weekly

Welcome to issue 375 of Python Weekly. Let's get straight to the links this week.

Learn to use Deep Learning, Computer Vision and Machine Learning techniques to simulate a Self-Driving Car with Python.

Articles, Tutorials and Talks

In this step-by-step tutorial series, you'll learn about all the ways PySyft can be used to bring Privacy and Decentralization to the Deep Learning ecosystem. This tutorial series is continually updated with new features as they are implemented, and is designed for complete beginners.

Christine McLeavey Payne may have finally cured songwriter's block. Her recent project Clara is a long short-term memory (LSTM) neural network that composes piano and chamber music. Just give Clara a taste of your magnum-opus-in-progress, and Clara will figure out what you should play next.

In this tutorial we are going to explore some of the Django Crispy Forms features to handle advanced/custom forms rendering.

With Turi Create, you can build your own custom machine learning models. This tutorial shows you how to train a Style Transfer ML model using Turi Create.

This article details the exploration of two data sets released by Airbnb on the the purpose of predicting the first country to which an Airbnb user books a trip. More specific, to predict top 5 travel destination countries in decreasing order of relevance. We want to achieve a level of personalization by inferring guest preferences based on their demographic information and session activities, as guests plan their trips by engaging with listings and making inquiries.

In this tutorial, you will learn how to perform instance segmentation with OpenCV, Python, and Deep Learning.

This blog post is about covariance, contravariance, and invariance of Python types. These concepts are defined and explained in detail.

Given a lot of Overwatch gameplay video can we create a model that automatically finds the important, highlight worthy moments?

A short introduction to the features and benefits of the library’s framework for building web applications in pure Python.

In this tutorial you are going to learn how to implement Token-based authentication using Django REST Framework (DRF). The token authentication works by exchanging username and password for a token that will be used in all subsequent requests so to identify the user on the server side.

In this tutorial we will learn how to work with comma separated (CSV) files in Python and Pandas. We will get an overview of how to use Pandas to load CSV to dataframes and how to write dataframes to CSV.

Books

Interesting Projects, Tools and Libraries

People tracker on the Internet: OSINT analysis and research tool.

Implementation of Quickdraw - an online game developed by Google.

Python package for earth-observing satellite data processing.

 Dampr is intended for use as single machine data processing: it's natively out of core, supports map and reduce side joins, associative reduce combiners, and provides a high level interface for constructing Dataflow DAGs.

An awesome task manager written in python.

Pure Python 3 MTProto API Telegram client library.

Pytorch-based tools for visualizing and understanding the neurons of a GAN.

A Python Mac app to suspend background processes.

Upcoming Events and Webinars

Visual Studio Code is a free, open source code editor that's quickly growing in popularity! In this hands-on tutorial, we'll walk through the editor's features and helpful python extensions, and show how you can incorporate them into your own projects and workflow.

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