Alexander Vasiliev's repositories
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
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: Scrape, Clean, Explore, and Transform Your Data" by Kyran Dale, published by O'Reilly Media in 2023.
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.
Pandas-Paskhaver-2021
Learning Pandas by examples from book "Pandas in Action" by Boris Paskhaver published by Manning Publications in 2021
BCCD_Dataset
BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.
BOOK-ADL-Book-2nd-Ed
Github repository for the second edition of the ADL Book.
pandas-in-action
Complete source code (datasets and Jupyter Notebooks) for Pandas In Action
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.
Project-PyGlobe3D
PyGlobe3D is a free open-source logical-graphical Python library for creating globes by hexagon-like polygons.
Python-Selenium-Raghavendra-2021
Python Selenium is demonstrated by examples and tests based on 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.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow2-Keras-Michelucci-2022
Examples based on Umberto Michelucci's book: "Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python", Second Edition, Apress, 2022