Python Weekly (Issue 470 October 15 2020)

Python Weekly - Issue 470

October 15, 2020

Python Weekly

Welcome to issue 470 of Python Weekly. Let's get straight to the links this week.

From Our Sponsor 

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News

The fourth iteration of the official Python Developers Survey is now live. Participate and contribute to the community knowledge! Also after the survey is over, randomly choose 100 winners (from those who complete the survey in its entirety) will each receive an amazing Python Surprise Gift Pack.

The topics can range from Plone and Volto and Guillotina to Python and Pyramid or from fancy JavaScript to cool case studies and beyond. There are many kinds of talk slots, from 5 min lightning talks to 30 and 45 minutes long, and you can target your talk to different audiences too.

Articles, Tutorials and Talks

In this tutorial, we will guide you through modern, open-source tooling and datasets for running, evaluating, researching, and deploying source separation approaches. We will pay special attention to musical source separation, though we will note where certain approaches are applicable to a wider array of source types.

In the first and the second parts of this series we explored the ideas behind the execution and the compilation of a Python program. We'll continue to focus on ideas in the next parts but this time we'll make an exception and look at the actual code that brings those ideas to life.

A step by step article about how the author converted approximately 2.1 million posts from magnetic tapes into fully searchable PostgreSQL database and later also into the usenetarchives.com website.

This article is a practical deep dive into making a specific deep learning model run fast on a powerful GPU server, but the general principles apply to all GPU programming. 

Learn how to install the Pydroid 3 IDE on Android, along with useful tools and libraries to practice Python coding.

Effectively using Chunking and SQL for reading large datasets in pandas.

Learn the basics and deploy your first cluster.

Send email notifications based on forecasted weather data.

Learn everything you need to know to use them together.

This article is a case study showing how to use Python to download and process historical temperature data.

Books

An online textbook to Software-Defined Radio (SDR) and Digital Signal Processing (DSP) using Python.

Interesting Projects, Tools and Libraries

Klio is an ecosystem that allows you to process audio files – or any binary files – easily and at scale.

Offline Text To Speech (TTS) converter for Python3.

A life simulation for exploring social dynamics.

Escalation is a web app that runs a lightweight visualization dashboard for data analysis. You can set up plots and tables that update along with your data or analysis, and have interactivity options to allow for data browsing.

Graphical system monitor for linux, including information about CPU, GPU, Memory, HDD/SDD and your network connections. 

AI-powered understanding of headlines and story text.

Create animated bar chart races in Python with matplotlib.

A python library for self-supervised learning.

A Curses-based Python application to practice touch-typing by typing out random Wikipedia articles.

Upcoming Events and Webinars

Katrina Riehl will discuss the skills and requirements necessary for a successful career as a data scientist. She will also discuss data wrangling, modeling, and data communication using tools in the PyData ecosystem.

There will be following talks

  • An Introduction to Fraud Detection using Machine Learning

  • My On Air Sign with CircuitPython and Pi Zero

  • From Jupyter to production-code, an easy conversion path

There will be following talks

  • Sprinting Pandas

  • Dask for Data Science

In this workshop, we will cover the following:

  • Introduction to TF-Hub

  • Solving an object detection use case using TF-Hub

There will be a talk, Introduction to Elyra: Set of AI-centric extensions to JupyterLab.

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