Python Weekly (Issue 376 December 6 2018)

Python Weekly - Issue 376

December 06, 2018

Python Weekly

Welcome to issue 376 of Python Weekly. Let's get straight to the links this week.

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News

Articles, Tutorials and Talks

In this tutorial, you will learn how to apply deep learning to perform medical image analysis. Specifically, you will discover how to use the Keras deep learning library to automatically analyze medical images for malaria testing.

How does the Python program run your code? How can you understand how your code runs? This post explores Abstract Syntax Trees (AST), a vital part of how Python evaluates code before running it. We'll use an AST in a practical example to show you how to learn more about your code for your benefit.

This tutorial will take you to a journey to create a simple flight tracking with python. We will plot aircraft position based on geographic coordinate on Open Street Map (OSM) basemap. The center of the map will be a location like an airport,  and we will request all aircraft in a range of  some km from the center point. The position will be updated every one second. At the end we will get a simple live flight tracking with python. 

I got around 500 real followers in 4 days!

A compilation of the Top 50 matplotlib plots most useful in data analysis and visualization. This list lets you choose what visualization to show for what situation using python’s matplotlib and seaborn library.

We have more ways to manage dependencies in Python applications than ever. But how do they fare in production? Unfortunately this topic turned out to be quite polarizing and was at the center of a lot of heated debates. This is my attempt at an opinionated review through a DevOps lens.

How to smartly keep a set of Django ORM objects in order for drag-n-drop like situations.

This is the first part of a two-part series. In this post, I will introduce Flask-RestPlus and demonstrate how to start organising APIs around its simple REST-based conventions. Next time, I will address the topic of request/response marshalling and validation.

Part 1 on a series on how to create a back door program using python for educational purposes. This program will allow you to control another computer and carry out different functions such as file transfer.

  • Part 2 - A way using which files can be viewed remotely after establishing a wired or wireless connection has been shown in this tutorial. 

We will set a Serverless URL Shortener using API Gateway, Lambda with Python and DynamoDB. The service that we will be creating, will shorten URLs via our API which will create an entry on DynamoDB. When a GET method is performed on the shortened URL, a GetItem is executed on DynamoDB to get the Long URL and a 301 Redirect is performed to redirect the client to intended destination URL.

Python Jobs of the Week

Radiant Earth Foundation’s core mission is to make insights from remote sensing data and machine learning an order of magnitude more accessible for global non-profits, humanitarian organizations, emerging economy governments, and others. We are searching for an experienced DevOps Engineer to help in the buildout of our geospatial and machine learning platform. We ingest petabytes of raster and non-raster data, apply machine learning algorithms to them and generate knowledge for improved decision making.

Interesting Projects, Tools and Libraries

It's a simple python package to play videos in a terminal using ASCII character.

Efficient 3D human pose estimation in video using 2D keypoint trajectories.

DCGAN that generates sneakers. Built using keras (with tensorflow backend).

A hyperparameter optimization framework.

Advent of Code is an Advent calendar of small programming puzzles for a variety of skill sets and skill levels that can be solved in any programming language you like.

Lambdo is a workflow engine which significantly simplifies the analysis process by unifying feature engineering and machine learning operations. Lambdo data analysis workflow does not distinguish between them and any node can be treated either as a feature or as prediction, and both of them can be trained.

Train and deploy real-time artistic style transfer in mobile apps with Fritz Style Transfer. 

A Toolkit for Computer-Aided Musicology.

Async Google API Client.

A Scalable TensorFlow Library for Learning-to-Rank

Slack integration that can destroy all incoming messages from Slackbot.

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

New Releases

Upcoming Events and Webinars

There will be following talks

  • Geopandas II

  • Doctored Classes (How I Learned to Stop Using namedtuple and Love Data Classes)

  • Intro to the Robot operating system

There will be a talk, User-Friendly Configurations of i3status using py3status.

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