| Under the Hood of Calling C/C++ From Python |
Take a walk through internals of
libffi, binary extensions, and other tools that power seamless interoperability of CPython and C.
ANTON ZHDAN-PUSHKIN • Shared by Anton Zhdan-Pushkin
Data-Oriented Programming in Python
Python’s success in scientific and numerical computing is based largely on the performance of libraries like NumPy and SciPy. What is is that makes NumPy so effective, and where is numerical Python is headed in the future?
BRIAN KIHOON LEE
Scout APM for Python: Application Performance Insight in Less Than 4 Minutes
Scout APM is Python application performance monitoring that helps developers quickly pinpoint & resolve issues before your customer ever sees them. Get back to coding faster with proactive & real-time insight into N+1 queries, memory bloat & more. Start your free trial today →
Shrink Your Conda Docker Images With
If you’re building a Docker image that’s based on Conda, the resulting images can be huge. Learn one way to do shrink image sizes, by combining the
conda-pack tool with multi-stage builds.
The Real Python Podcast – Episode #26: 5 Years Podcasting Python with Michael Kennedy: Growth, GIL, Async, and More
Why is Python pulling in so many new programmers? Maybe some of that growth is from Python being a full-spectrum language. This week on the show we have Michael Kennedy, the host of the podcast “Talk Python to Me”. Michael reflects on five years of podcasting about Python, and many of the changes he has seen in the Python landscape.
REAL PYTHON podcast
pip Usability Surveys
PYTHON SOFTWARE FOUNDATION
Python 101 2nd Edition Released
seaborn 0.11.0 Is Now Available
All Python Versions Less Than 3.6 Are Now EOL
timeit and Its
default_timer Completely Disagree
Ah, the joys of benchmarking.
Happy 1600000000 Seconds Since Epochs Everyone!
As u/bananaEmpanada eloquently put it: Happy GNU year!
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Software Engineer (Remote)
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Articles & Tutorials
Serving a Machine Learning Model with FastAPI and Streamlit
Both FastAPI and Streamlit are quickly gainaing popularity in the Python ecosystem. Learn how to use them together to deploy a machine learning model with a fast API and modern web interface.
AMAL SHAJI • Shared by Amal Shaji
Command Line Interfaces in Python
Command line arguments are the key to converting your programs into useful and enticing tools that are ready to be used in the terminal of your operating system. In this course, you’ll learn their origins, standards, and basics, and how to implement them in your program.
REAL PYTHON course
Want to Level-Up Your Python Skills?
Write better code, debug faster, and become more productive with PyCharm, a tightly integrated IDE that understands your code and provides a complete set of tools to help you make it better. Try PyCharm now and code like a pro! Free trial →
Plot With Pandas: Python Data Visualization for Beginners
In this tutorial, you’ll get to know the basic plotting possibilities that Python provides in the popular data analysis library pandas. You’ll learn about the different kinds of plots that pandas offers, how to use them for data exploration, and which types of plots are best for certain use cases.
Reading HTML Tables With Pandas
read_html() function can quickly scrape data from HTML tables. Learn how to use it, as well as some techniques for cleaning HTML data.
[Free] Ray Summit Sep 30 - Oct 1: Scalable Python & Machine Learning For Everyone
See how Ray, the open-source Python framework, is used for building distributed apps and libraries, including backend infrastructures and ML platforms. Join Ray Summit to connect with the community and learn to build any application at any scale.
Exploring Euler’s Methods for Solving ODEs
A great way to get comfortable with math concepts is to program them, and Python is a great language for exploring mathematical ideas, even if it’s not always the most efficient.
From Concept to Live in Two Weeks With Django
How can you build a fully functional web application for a customer in a short period of time? Matt shares his experience building such a web app for a nonprofit organization while participating in a local virtual hackathon in Frederick, MD.
Python 101: An Intro to Working With JSON
Learn the basics of working with JSON with Python.
Projects & Code
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VideoPose3D: Efficient 3D Human Pose Estimation in Video Using 2D Keypoint Trajectories
Wav2Lip: Accurately Lip-Sync Videos in the Wild
nagini: A Static Verifier for Python 3, Based on the Viper Verification Infrastructure
pypyr: Task Runner for Automation Pipelines
HTTPS://GITHUB.COM/PYPYR/PYPYR/ • Shared by yaythomas
Staircase: A Data Analysis Package for Modelling With Step Functions
RAILING.READTHEDOCS.IO • Shared by Riley Clement
awesome-falsehood: Falsehoods Programmers Believe in