| Hands-On Linear Programming: Optimization With Python
In this tutorial, you’ll learn about implementing optimization in Python with linear programming libraries. Linear programming is one of the fundamental mathematical optimization techniques. You’ll use SciPy and PuLP to solve linear programming problems.
OpenSafely: Using Python, SQL and Docker to Understand Coronavirus Health Data
Django and Payton developers teamed up with clinicians and researchers to release a new analytics platform called OpenSafely that allows researchers to analyze NHS health records from over 24 million people In the UK. With strict safety and privacy standards, OpenSafely may help redefine how medical data is analyzed and shared.
Working From Home? 7 Coding-Related Tools to Keep Kids Busy
ActiveState has curated a list of coding-related toys and tools to keep your kids productively busy, so that you can get your own programming tasks done. Check out the list, including ActiveState’s platform for building Python runtimes. →
PEP 618 Accepted for Python 3.10: Add Optional Length-Checking to
PEP 618, which adds a new
strict parameter to the built-in
zip() function that optionally enforces same-length iterables, has been accepted for Python 3.10. Read the acceptance letter here and some interesting discussion about the PEP on Reddit.
Pickle’s Nine Flaws
pickle module is a very convenient way to serialize and de-serialize objects. It needs no schema, and can handle arbitrary Python objects. But it has problems. This post briefly explains the problems.”
PyLadies India Embarked On Its Journey
On June 20th, 2020 PyLadies India held their first Meetup featuring a talk by CPython Core Contributor Mariatta Wijaya. Organizer Anwesha Das recounts her PyLadies journey and the steps the organization took to make the meetup a reality.
Securing a Containerized Django Application with Let’s Encrypt
Secure a containerized Django app running behind an HTTPS Nginx proxy with Let’s Encrypt SSL certificates.
TESTDRIVEN.IO • Shared by Jan Giacomelli
pytest Techniques I Learned While Contributing to
Contributing to open-source projects is a great way to learn new techniques and level up your skills. Martin Winkel shares five advanced
pytest techniques he learned while contributing to the pandas project.
NumPy 1.19.0 Is Now Available
Version 1.19.0 drops support for Python 3.5 and below, including Python 2.
2020 Python Software Foundation Board of Directors Election Results
PYTHON SOFTWARE FOUNDATION
DjangoCon US 2020 Is Cancelled
DJANGO SOFTWARE FOUNDATION
Draw With Your CPU (Code Golf)
Here’s a challenge: draw the word “MAIL” on your operating system CPU usage graph. Can you think of a simple way to do it with Python? Read on and get your mind blown with a fun round of code golf.
You Probably Should Be Using JupyterLab Instead of Jupyter Notebooks
Are you using JupyterLab yet?
Regex to Find a Pair of Adjacent Digits With Different Digits Around Them
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Articles & Tutorials
Property Testing With Complex Inputs
Property based testing is a powerful tool for generating test data and probing edge cases. Once you’ve learned the basics of a framework like Hypothesis, though, you might be left wondering how to generate complex data needed to test real world applications. Learn about several strategies in this intermediate-level tutorial.
Generating Cooking Recipes Using TensorFlow and LSTM Recurrent Neural Network: A Step-By-Step Guide
Learn about LSTM (Long short-term memory) and RNN (Recurrent Neural Network) techniques while building a recipe generator so that you too can enjoy delicious creations like “Cream Soda with Onions” and “Salmon Mousse of Beef and Stilton Salad with Jalapeños.”
Profile, Understand & Optimize Python Code Performance
You can’t improve what you can’t measure. Profile and understand Python code’s behavior and performance (Wall-time, I/O, CPU, HTTP requests, SQL queries). Browse through appealing graphs. Blackfire.io is now available as Public Beta. New features added regularly. →
PySimpleGUI: The Simple Way to Create a GUI With Python
In this step-by-step tutorial, you’ll learn how to create a cross-platform graphical user interface (GUI) using Python and PySimpleGUI. A graphical user interface is an application that has buttons, windows, and lots of other elements that the user can use to interact with your application.
Creating a Discord Bot in Python
In this course, you’ll learn how to make a Discord bot in Python and interact with several APIs. You’ll learn how to handle events, accept commands, validate and verify input, and all the basics that can help you create useful and exciting automations!
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Implementing Proxy Pattern in Python
The proxy pattern is a design pattern that promotes loose coupleing and enhanced testabaility. Learn how to use this pattern in Python and when you might want to do so.
REDOWAN DELOWAR • Shared by Redowan Delowar
All the Things You Can Do With GitHub API and Python
Learn how to use GitHub’s Python client to create issues, gists, upload files, and more.
MARTIN HEINZ • Shared by Martin Heinz
Stock Analysis in Python
Explore financial data with object-oriented programming and additive models.
Web Scraping in 5 Minutes With Python & Excel
Compare web scraping Audible audiobook data in both Python and Excel.
COREY J. GALLON • Shared by Corey J. Gallon
Should You Ship the Cython Generated C Code or Not?
Vim as Python IDE
Projects & Code
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nlp: Datasets and Evaluation Metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow
byob: BYOB (Build Your Own Botnet)
gpt-2: Code for the Paper “Language Models Are Unsupervised Multitask Learners”
macOS-Simple-KVM: Tools to Set Up a Quick macOS VM in QEMU, Accelerated by KVM
stylegan2: StyleGAN2 Official TensorFlow Implementation
jina: Jina Is the Cloud-Native Neural Search Framework Powered by State-Of-The-Art AI and Deep Learning
GITHUB.COM/IDLESIGN • Shared by pythonz
dissert: Disable Python Assertions Per File/Module