- Python Weekly
- Posts
- Python Weekly (Issue 485 February 4 2020)
Python Weekly (Issue 485 February 4 2020)
Python Weekly - Issue 485
Python Weekly
Welcome to issue 485 of Python Weekly. An exciting well funded early stage startup is looking for experienced
Full-Stack Engineers
with strong
Python
and
React
expertise. They are a remote-first company, but you need to be within +/- 4 hours of PT. If you or someone you know are interested, send me the latest resume and mention the candidate's location.
News
Articles, Tutorials and Talks
This article describes two strategies for using C++ code from Python, requiring the implementation of virtual functions in C++ abstract classes.
A post on sentiment analysis for trading using data from r/wallstreetbets.
Using GPT-3 to generate database-ready SQL to answer business questions.
A free course on Python Pandas.
Monitor new drives on Windows and perform tasks.
How to free space without dropping indexes or deleting data.
This post introduces property-based testing as a concept, and describes some ways you can start integrating PBT into your test suite.
Generating random but familiar text by building Markov chains from scratch.
A tutorial on how you can sync and analyze your Peloton workout stats into Coda with custom dashboards. Sync with a Google Apps Script or serverless function on Google Cloud.
Learn about the various database constraints Django supports to ensure data integrity.
A full tutorial covering everything you need to know about Regular Expressions - an essential for anyone learning to code - and even more so for anyone interested in Natural Language Processing.
Storing string columns as categories can result in massive memory savings when working with large dataframes. However, those savings can surprisingly disappear when we start concatenating dataframes.
Interesting Projects, Tools and Libraries
Quickly fetch your WiFi password and if needed, generate a QR code of your WiFi to allow phones to easily connect.
Don't know what type of hash it is? Name That Hash will name that hash type! Identify MD5, SHA256 and 3000+ other hashes Comes with a neat web app.
Deploy a ML inference service on a budget in less than 10 lines of code.
Like yarn outdated/upgrade, but for pip. Upgrade all your pip packages and automate your Python Dependency Management.
A reinforcement learning toolkit for compiler optimizations.
A quick and easy way to distribute your Python projects!
A visual programming environment for scientific computing.
Python SHTK is a python module that seeks to make replacing shell scripts with Python scripts an easier process.
Easy to use, state-of-the-art Neural Machine Translation for 100+ languages.
An open source implementation of Apple's Wi-Fi Password Sharing protocol in Python.
New Releases
This NumPy release is the largest so made to date, some 684 PRs contributed by 184 people have been merged. The Python versions supported for this release are 3.7-3.9, support for Python 3.6 has been dropped. See the list of highlights for more details.
Upcoming Events and Webinars
There will be following talks
Network Automation with CI/CD
Whose Method Is It Anyway?
HOTDOG.py: Two Hotdog's Journey to a Backyard BBQ (aka some fun with python)
There will be a talk, Abusing Django Channels for Fun (and Profit).
There will be following talks
Terraform Your World: Getting Started with Infrastructure as Code
Module of the Month: dynaconf
There will be following talks
Authorization patterns for GraphQL using oso with the Python graphene library
QHub: Deploy JupyterHub with Dask Gateway on Kubernetes in 15 minutes
Our Other Newsletters
- A free weekly newsletter for programmers.
- A free weekly newsletter for entrepreneurs featuring best curated content, must read articles, how to guides, tips and tricks, resources, events and more.