Open Source Python Education Software - Page 8

Graphical visualizer of the various types of binary search trees

My first Python and PyGame project: Baby key allows toddlers to play with the computer. With each keystroke the screen gradually changes color. Holding ESC for 5 seconds allows you to quit. Windows keys and ALT+TAB combinations are suppressed as beta testing of an eight month old toddler proved this to be necessary. WARNING: Might not be suited for your child. Beware of flashing screen (e.g. in case of Epilepsy).

Ballena is a Vocabulary Trainer written in Java using XML. It supports multiple dictionaries and localized GUI interface.

This project is intended to provide code to be used with MySQL and Python to create a database of major league baseball game events which are freely provided by the mlb.com Gameday application. Older version also support creating a retrosheet.org database but that is no longer supported. All major and minor league pitch location and game statistic data can be downloaded using BBOS. Installation Videos! Part 1: http://youtu.be/rnv2VLcG-eI Part 2: http://youtu.be/eFudbMWHNlQ Special thanks to Wells Oliver for the code for downloading Retrosheet files. And the Chadwick project for its Retrosheet tools. https://sourceforge.net/projects/chadwick/?source=recommended

Wizard-like software to manage a scientific repository (articles or any digital document). Citation information(BibTeX) is automatically corrected. From the repository, get copies of items, list of references+citations. NEW:handles real documents.

Wizard-like software to run experimental procedures (at large). Each step of the procedure is a file (document, on-line form, checklist, video, program... ). Experimental data and documents are backuped together. NEW: templates of procedures

Biblio is a school-library-management-system, written in Python, featuring the management of multiple book-copies as common in school-libraries.

Binarytree is Python library that lets you generate, visualize, inspect and manipulate binary trees. Skip the tedious work of setting up test data, and dive straight into practicing algorithms. Heaps and BSTs (binary search trees) are also supported. Binarytree supports another representation which is more compact but without the indexing properties. Traverse trees using different algorithms.

An animal guessing game. The program takes the role of a zoologist and tries to guess an animal by asking questions about animal properties (ancestry, habitat, etc.) CLI so far. A GUI with visualization for educational purpose is intended in the future.

This application will be mostly used by grade 12 (matric) students who do mathematics. The application solves and explains all you need to know to complete your own quadratic sequence.

Blokken is an application which aim is to help children in primary and secondary education by making studying more fun and enjoyable.

Blue|Smash is a python based tool for pentesting bluetooth enabled devices. Blue|Smash version 1.* is mainly based on bluetooth enabled phones and was build for the backtrack live CD but version 2.0 (still in dev) will contain audits for all sorts of dev

Book1_Python-For-Beginners is the introductory volume of the Visualize-ML series, designed to teach Python programming to newcomers with no prior coding experience. The repository emphasizes clarity and gradual skill building, starting from fundamental syntax and moving toward practical programming patterns. It integrates visual aids and annotated code examples to help learners understand not just how Python works but why certain patterns are used. The material is structured to support self-paced learning, making it suitable for students, career switchers, and hobbyists. Because the book is part of a larger data science pathway, it also prepares readers for later work in visualization and machine learning. Overall, it serves as an accessible on-ramp into Python within a broader analytical learning journey.

Book2_Beauty-of-Data-Visualization is an open educational project that teaches the principles and techniques of effective data visualization using Python and modern plotting libraries. The repository focuses on both the technical and aesthetic aspects of visual analytics, helping learners understand how to communicate data clearly and persuasively. It includes practical examples that demonstrate how different chart types reveal patterns, trends, and distributions in real datasets. The material emphasizes visual storytelling and design thinking alongside coding implementation. By combining theory with hands-on plotting exercises, the book helps readers build both analytical and presentation skills. Overall, it is intended as a foundational guide for anyone seeking to produce professional-quality data visualizations.

Book3_Elements-of-Mathematics is an open learning resource in the Visualize-ML collection that introduces core mathematical foundations required for modern data science and AI. The repository presents topics such as algebra, calculus fundamentals, and mathematical reasoning using a highly visual and beginner-friendly approach. Its goal is to reduce the intimidation barrier often associated with formal mathematics by combining diagrams, structured explanations, and applied examples. The content is organized progressively so learners can build confidence before moving into more advanced quantitative subjects. It is particularly useful for self-taught developers and students transitioning into technical fields that require mathematical literacy. Overall, the project functions as a bridge between basic math education and more specialized machine learning study.

Book4_Power-of-Matrix is an open educational repository that forms part of the Visualize-ML book series, focusing on explaining matrix mathematics and linear algebra concepts through visual and intuitive methods. The project is designed to help readers progress from basic arithmetic toward machine learning fundamentals by building a strong conceptual understanding of vectors, matrices, and their operations. It combines explanatory text, diagrams, and Python examples to bridge theory and practical computation. The material emphasizes geometric interpretation and visual reasoning, which makes abstract linear algebra topics more accessible to beginners and self-learners. The repository is continuously updated and intended to accompany the broader Visualize-ML learning ecosystem. Overall, it serves as a visually driven mathematical foundation for students preparing for data science and machine learning work.

Book5_Essentials-of-Probability-and-Statistics is a Visualize-ML educational volume that introduces the statistical and probabilistic concepts underpinning modern data analysis and machine learning. The repository explains topics such as distributions, sampling, inference, and uncertainty using visual demonstrations and intuitive narratives. Its teaching philosophy prioritizes conceptual clarity over heavy formalism, making statistical thinking more approachable for beginners. The material connects probability theory directly to real analytical workflows, helping learners understand how statistics supports predictive modeling. Like the other books in the series, it blends mathematical explanation with Python-based experimentation. Overall, the project provides a practical statistical foundation for students advancing into AI and data science.

This is a simple application where you can add, edit, delete and search for book excerpts. It is created using Python, Tkinter, and Pmw. This is recommended to students who wants to easily search through piles of books by adding any book snippets.

Python program to quiz user on the books of the Bible. The program will use location in the Bible and proximity to other books, as well as author, themes and other historical details about the books to test the user's knowledge.

The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. The repository includes implementations, experimental data, and supporting research papers that accompany published studies. Notable works such as Weight Agnostic Neural Networks and Neuroevolution of Self-Interpretable Agents highlight the team’s exploration of how AI can learn more efficiently and transparently. Overall, this repository serves as an open research hub for sharing ideas and advancing the understanding of intelligent systems.

This is a Python project mainly focused on visualization and segmentation of brain.

BrainLibs is a high quality Python/PyGame library

Open, free and extensible plataform for developing robotics projects

ByoDyn (http://cbbl.imim.es/ByoDyn) is a software tool for the study of biochemical networks within the framework of systems biology. SBML compatible, ByoDyn is a group effort of the Computational Biochemistry and Biophysics Lab.

This is a Content Based Image Retrieval Interface with only color features implemented. This is part of a thesis work to analyze the different color features and observe the performance on mainly corel5k images.