Pinned Repositories
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.
dataviz-with-python-and-js-ed-2
deep-learning-for-finance
The Official Repository of Deep Learning for Finance
Fast-Python-Antao-2023
Flask-Based-Web-Applications-Farrell-2023
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.
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
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
ax-va's Repositories
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
ax-va/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.
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/Pandas-Paskhaver-2021
Learning Pandas by examples from book "Pandas in Action" by Boris Paskhaver published by Manning Publications in 2021
ax-va/dataviz-with-python-and-js-ed-2
ax-va/deep-learning-for-finance
The Official Repository of Deep Learning for Finance
ax-va/Fast-Python-Antao-2023
ax-va/Flask-Based-Web-Applications-Farrell-2023
ax-va/GitLab-Cowell-Lotz-Timberlake-2023
ax-va/JavaScript-Crash-Course-Morgan-2024
ax-va/Jenkins-Docker-Rawat-2023
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.
ax-va/Project-PyGlobe3D
PyGlobe3D is a free open-source logical-graphical Python library for creating globes by hexagon-like polygons.
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/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
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
ax-va/Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash
Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt
ax-va/Machine-Learning-for-Financial-Time-Series-Kaabar-2024
ax-va/Mastering-Python-Design-Patterns-Third-Edition
Mastering Python Design Patterns, Third Edition by Packt Publishing
ax-va/ml-python-cookbook-runner
Dockerized Jupyter notebook to run commands from the ML Python Cookbook
ax-va/Plotly-Dash
ax-va/Pytest-Okken-2022
ax-va/Python-Design-Patterns-Ayeva-Kasampalis-2024
ax-va/Python-Example-Collection
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/sim_data
ax-va/swagger-codegen
swagger-codegen contains a template-driven engine to generate documentation, API clients and server stubs in different languages by parsing your OpenAPI / Swagger definition.
ax-va/Test-for-Git
ax-va/Test-for-Jenkins
ax-va/the-well-grounded-python-developer
This is the code repository that accompanies my book "The Well-Grounded Python Developer"