Python Weekly (Issue 481 January 7 2020)

Python Weekly - Issue 481

January 07, 2021

Python Weekly

Welcome to issue 481 of Python Weekly. I wish you all Happy New Year and I am excited to continue sending you the best Python related links in 2021.

News

PyCon US 2021’s Call for Proposals has officially opened for talks, tutorials and posters. 

System administrators, tools that repackage the interpreter and some libraries need to customize aspects of the interpreter at startup time. This is usually achieved via sitecustomize.py for system administrators whilst libraries rely on exploiting pth files. This PEP proposes a way of achieving the same in a more user-friendly and structured way.

Articles, Tutorials and Talks

Learn the basics of a drone including the components and how the drone flies. Then we will look at the installations and the basic movements along with image capture. From there we will create exciting projects including surveillance drone, face tracking and line following drone. 

Learn how to build a command line text editor from scratch in Python.

In this tutorial you will learn the basics of augmented reality with OpenCV.

Learn how to transform raw data into insightful plots using Python and Seaborn.

The first part of the two part tutorial that guides you through the writing of a program able to typeset a “waterfall” poster using random words from a predefined list. Check out the  second part

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If your program takes a while to show results, avoid frustrating users by showing the progress it's making.

Rethinking a Visual dataframe workflow based on the user’s intent.

Lessons Learned from a Legacy Industry.

Python Jobs of the Week

We’re building security to protect humans as they are, not how organisations want them to be. With high volume, low latency data & ML processing, we're looking for exceptional engineers to join us.

Start your python career learning from the best at Tessian, one of the hottest cybersecurity companies, backed by Sequoia & Accel. Hiring now for a Q3 2021 start in London, UK.

Interesting Projects, Tools and Libraries

A project to create an open-sourced autonomous driving system, along with its hardware prototype implementation. 

A dynamic FastAPI router that automatically creates CRUD routes for your models.

Spectrum is an AI that uses machine learning to generate Rap song lyrics.

A neural network CLIP which efficiently learns visual concepts from natural language supervision. It can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and 3.

Pattern Matching for Python 3.8+ in a simple, yet powerful, extensible manner.

Briefcase is a tool for converting a Python project into a standalone native application. You can package projects for Mac, Windows, Linux, iPhone/iPad and Android. Support for AppleTV, watchOS, wearOS and web deployments is planned.

A simple graph database in SQLite, inspired by "SQLite as a document database"

A front-end for Mycroft that lets you do exciting things!

Voice Separation with an Unknown Number of Multiple Speakers.

A PDF signing toolkit for Python.

An autoML framework & toolkit for machine learning on graphs.

File organization made easy. HyperTag let's humans intuitively express how they think about their files using tags.

A Python library for optimizing DNA sequences with respect to a set of constraints and optimization objectives. It can also be used via a command-line interface, or a web application.

New Releases

The 3.0 release of JupyterLab brings many new features to users and substantial improvements to the extension system.

It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented in the release notes.

An early developer preview of Python 3.10.

Upcoming Events and Webinars

There will be a talk, Unpacking Containers: A Crash Course in Virtualized Container Technology.

There will be following talks

  • What's so special about Python?

  • Whose Method Is It Anyway

There will be a talk, Creative coding in Python.

There will be following talks

  • Scaling Machine Learning with Python and Dask

  • Automated Feature Engineering on large scale Time Series data using tsfresh & Dask

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