Projects in Awesome Lists by ax-va
A curated list of projects in awesome lists by ax-va .
https://github.com/ax-va/pyopengl-pygame-stemkoski-pascale-2021
OpenGL examples with PyOpenGL and Pygame based on book "Developing Graphics Frameworks with Python and OpenGL" by Lee Stemkoski and Michael Pascale published by CRC Press in 2021
3d-graphics ax-va glsl graphics opengl pygame pyopengl python
Last synced: 13 May 2025
https://github.com/ax-va/numpy-pandas-matplotlib-scikit-learn-vanderplas-2023
These examples provide an introduction to Data Science and classic Machine Learning using NumPy, pandas, Matplotlib, and scikit-learn. They are taken, with some changes, from the book "Python Data Science Handbook: Essential Tools for Working with Data", Second Edition, written by Jake VanderPlas and published by O'Reilly Media in 2023.
ax-va classic-machine-learning data-science machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 13 May 2025
https://github.com/ax-va/javascript-crash-course-morgan-2024
This JavaScript programming crash course with an introduction to libraries Tone.js and D3.js is based on the book "JavaScript Crash Course: A Hands-On, Project-Based Introduction to Programming" by Nick Morgan published by No Starch Press in 2024.
ax-va canvas crash-course d3js frontend javascript tonejs web
Last synced: 22 Apr 2025
https://github.com/ax-va/pandas-paskhaver-2021
Learning pandas by examples from the book "Pandas in Action" by Boris Paskhaver published by Manning Publications in 2021.
ax-va data-science pandas python
Last synced: 13 Mar 2025
https://github.com/ax-va/project-bayesianpy
This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.
bayesian-inference bayesian-machine-learning bayesian-network bayesian-networks bayesian-reasoning inference machine-learning machine-learning-algorithms markov-network markov-networks pgm probabilistic-graphical-models probabilistic-programming probabilistic-reasoning
Last synced: 13 Mar 2025
https://github.com/ax-va/machine-learning-for-financial-time-series-kaabar-2024
Last synced: 13 Mar 2025
https://github.com/ax-va/project-pyglobe3d
PyGlobe3D is a free open-source logical-graphical Python library for creating globes by hexagon-like polygons.
Last synced: 13 Mar 2025
https://github.com/ax-va/python-machine-learning-recipes-gallatin-albon-2023
Machine learning recipes in Python with scikit-learn, OpenCV, PyTorch, and other libraries, including classical machine learning and neural networks, based on the book "Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning", Second Edition, by Kyle Gallatin and Chris Albon published by O'Reilly Media in 2023
ax-va data-science deep-learning image-processing machine-learning neural-networks opencv opencv-python python pytorch scikit-learn
Last synced: 13 Mar 2025
https://github.com/ax-va/pytest-okken-2022
These pytest examples are based on the book "Python Testing with pytest: Simple, Rapid, Effective, and Scalable", Second Edition, written by Brian Okken and published by The Pragmatic Programmers in 2022. They also cover pytest plugins. Special attention is paid to using Coverage.py, unittest.mock, and tox with pytest.
ax-va coverage plugins pytest python testing tox
Last synced: 13 Mar 2025
https://github.com/ax-va/tensorflow2-keras-michelucci-2022
Examples based on the Umberto Michelucci's book: "Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python", Second Edition, Apress, 2022
Last synced: 13 Mar 2025
https://github.com/ax-va/python-selenium-raghavendra-2021
Python Selenium is demonstrated by examples and tests based on the Sujay Raghavendra's book "Python Testing with Selenium: Learn to Implement Different Testing Techniques Using the Selenium WebDriver" published by Apress in 2021. The book examples have been modified and also updated to Selenium 4.
ax-va pageobject-pattern python selenium selenium-python selenium4 test-automation testing unittest
Last synced: 13 Mar 2025
https://github.com/ax-va/GitHub-Actions-Tox-Pytest-2024
GitHub Actions with tox and pytest on an example from the book "Python Testing with pytest: Simple, Rapid, Effective, and Scalable", Second Edition, Brian Okken, The Pragmatic Programmers, 2022.
ax-va github-actions pytest tox
Last synced: 25 Jan 2025
https://github.com/ax-va/interactive-data-visualization-dale-2023
These examples on Interactive Data Visualization in the browser using Flask and D3.js are compiled with some modifications from the book "Data Visualization with Python and Javascript: Cleaning, Cleaning, Exploring, and Transforming Your Data" by Kyran Dale, published by O'Reilly Media in 2023.
ax-va d3 d3-visualization d3js data-science data-visualization dataviz javascript python
Last synced: 13 Mar 2025
https://github.com/ax-va/fundamental-to-advanced-javascript-course-khan-2024
Last synced: 23 Mar 2025
https://github.com/ax-va/github-actions-tox-pytest-2024
GitHub Actions with tox and pytest on an example from the book "Python Testing with pytest: Simple, Rapid, Effective, and Scalable", Second Edition, Brian Okken, The Pragmatic Programmers, 2022.
ax-va github-actions pytest tox
Last synced: 23 Mar 2025
https://github.com/ax-va/axvaglobe
AxVaGlobe is a free open-source logical-graphical Python library for creating globes by hexagon-like polygons.
Last synced: 08 Apr 2025