Alexander Vasiliev (ax-va)

ax-va

Geek Repo

Location:European Union

Home Page:https://github.com/ax-va

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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 web browser using Flask RESTful API 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.

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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.

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Pandas-Paskhaver-2021

Learning Pandas by examples from book "Pandas in Action" by Boris Paskhaver published by Manning Publications in 2021

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deep-learning-for-finance

The Official Repository of Deep Learning for Finance

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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.

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Project-PyGlobe3D

PyGlobe3D is a free open-source logical-graphical Python library for creating globes by hexagon-like polygons.

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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.

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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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

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Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash

Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt

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Mastering-Python-Design-Patterns-Third-Edition

Mastering Python Design Patterns, Third Edition by Packt Publishing

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ml-python-cookbook-runner

Dockerized Jupyter notebook to run commands from the ML Python Cookbook

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python-performance

Repository for the book Fast Python - published by Manning

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the-well-grounded-python-developer

This is the code repository that accompanies my book "The Well-Grounded Python Developer"

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