PythonHub

The Double Pendulum in Python Learn how to derive the system of differential equations for the double pendulum using sympy, solve the system of equations numerically using scipy's odeint function, and create an animation of the double pendulum using matplotlib. https://www.youtube.com/watch?v=8ZZDNd4eyVI

A friendly introduction to machine learning compilers and optimizers Understanding how compilers work can help you choose the right compiler to bring your models to your hardware of choice as well as diagnose performance issues and speed up your models. This post is a friendly, tearless introduction to ML compilers. https://huyenchip.com//2021/09/07/a-friendly-introduction-to-machine-learning-compilers-and-optimizers.html

New Ways to Be Told That Your Python Code Is Bad https://nickdrozd.github.io/2021/09/02/new-pylint-checks.html

Pedalboard A Python library for adding effects to audio. It was built by Spotify's Audio Intelligence Lab to enable using studio-quality audio effects from within Python and TensorFlow. https://github.com/spotify/pedalboard

I made a Password Manager for the Terminal - Let me know where it's hackable! https://www.reddit.com/r/Python/comments/p22p35/i_made_a_password_manager_for_the_terminal_let_me/

State Pattern in Python Learn to implement state pattern and finite state machines using Python. https://auth0.com/blog/state-pattern-in-python/

Logging in Python like a PRO https://blog.guilatrova.dev/how-to-log-in-python-like-a-pro/

Difference between del keyword, remove() method and pop() method on Python Lists | Explained using Manim Library animation https://www.reddit.com/r/madeinpython/comments/piuka5/difference_between_del_keyword_remove_method_and/

Can We Forecast the Number of Sunspots? I will be predicting the number of monthly Sunspots using time series analysis. The models that ... https://towardsdatascience.com/modelling-the-number-of-sunspots-with-time-series-analysis-39ce7d88cff3

Deriving Guitar Theory in ~400 Lines of Python This article looks at applying basic music theory to the guitar using Python in order to derive chords and scales for alternate tunings. https://www.mvanga.com/blog/deriving-guitar-theory-in-400-lines-of-python

Huracan Open source, 0-dimensional, object-oriented airbreathing engine modelling package for preliminary analysis and design of airbreathing engines, divulgation and educational purposes. https://github.com/alopezrivera/huracan

Python-World / python-mini-projects A collection of simple python mini projects to enhance your python skills https://github.com/Python-World/python-mini-projects

Python for Distributed Systems How to write scripts that are horizontally scalable for big data. https://www.babbling.fish/elt-cookbook-python/

CleanAPI Pretty tornado wrapper for making lightweight REST API services. https://github.com/vlakir/cleanapi

5 Advanced Tips on Python Sequences Notes from Fluent Python by Luciano Ramalho.Photo by NASA on Unsplash“66% of data scientists are ... https://towardsdatascience.com/5-advanced-tips-on-python-sequences-5b0e09a21a83

Making Numpy Accessible: Guidelines and Tools https://labs.quansight.org/blog/2021/07/numpy-accessibility-guidelines/

Speeding up Python Jupyter notebooks 25x with simple concurrency, and fast AWS servers https://www.thehousesometimeswins.com/blog/speeding-up-jupyter-python

Spice.ai Spice.ai is an open source, portable runtime for training and using deep learning on time series data. https://github.com/spiceai/spiceai

An Introduction to Reinforcement Learning with OpenAI Gym, RLlib, and Google Colab One possible definition of reinforcement learning (RL) is a computational approach to learning how to maximize the total sum of rewards when interacting with an environment. While a definition is useful, this tutorial aims to illustrate what reinforcement learning is through images, code, and video examples and along the way introduce reinforcement learning terms like agents and environments. https://t.co/26M1W8Wnho

Data Structures and Algorithms in Python A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments. https://www.youtube.com/watch?v=pkYVOmU3MgA