Open Source Python Education Software - Page 21

Python module for reading and writing MARC records in both transport (z39.2) and plain-text mnemonic formats. Also includes simple command-line tools for translation between these formats.

Microfi PyPlot is an easy-to-use function plotter. It's completely open-source, so you can edit it as you feel necessary. The main goal of this project is to provide a clean interface for school teachers and students that want to study math.

PySet is an incremental implementation of the classic logic/card game Set, built using Python, Simple Direct-media Library (SDL), and PyGame (a Python wrapper of the SDL API). The code is intended to assist newcomers in gradually learning these libs.

PyShelf is an Open Source python based, ebook server, that does not and never will require a windowing system.

PySlovar is a application for editing and viewing of dictionaries in SCDF format(Self-Contained Dictionary Format).

Library for manipulating StarDict dictionaries from within Python

Python wrapper for Sword library. Helps python users access sword publications (mostly bibles, commentaries, etc). Also will include a supybot biblebot plugin. There is already a swig generated wrapper to pysword and python based bible reader here: http:

This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested under GPU and python3. But in theory there shouldn't be too many problems on python2 and CPU. The basic part (the first five chapters) explains the content of PyTorch. This part introduces the main modules in PyTorch and some tools commonly used in deep learning. For this part of the content, Jupyter Notebook is used as a teaching tool here, and readers can modify and run with notebooks and repeat experiments.

PyTorch GAN Zoo is a comprehensive open research toolbox designed for experimenting with and developing Generative Adversarial Networks (GANs) using PyTorch. The project provides modular implementations of popular GAN architectures, including Progressive Growing of GANs (PGAN), DCGAN, and an experimental StyleGAN version. It is built to support both researchers and developers who want to train, evaluate, and extend GANs efficiently across diverse datasets such as CelebA-HQ, FashionGen, DTD, and CIFAR-10. In addition to core GAN training, the repository includes tools for model evaluation, such as Inception Score and SWD metrics, as well as advanced features like GDPP for diverse generation and AC-GAN conditioning for class-specific synthesis. The framework also supports “inspirational generation,” enabling style or content transfer from reference images through pre-trained models.

PyTrail is a game based on our beloved Oregon Trail. Take your family/crew across the United States to the lovely state of Oregon. Python is the main language, using Pygame - a Python based game infrastructure.

Given a list of words/phrases, PyTranslateList will quickly translate the words/phrases. PyTranslateList supports most languages.

Pyberry is open source library management (i.e. books, etc.) software, written in (of course) Python 3. It is command line based with no GUI planned as of now and is designed to be extremely lightweight and fast. It uses sqlite as a database backend and supports looking up books by ISBN. Information can be obtained from Amazon and other sources. Pyberry is looking for a release specialist! Do you know how to package versions for release across platforms? Then please, help us out!

Basic and intermediate examples to read, modify and write DICOM files with Python code using Jupyter - To install Jupyter - https://jupyter.org/install ====== All examples are based on Pydicom. An open source library - https://pydicom.github.io/

PygLibs is an all-in-one Python game library. It contains a gui, map creator, sprite system, and other useful functions.

Pytest is an open source testing and evaluation framework written in Python. It is compliant with IMS Global Learning Consortium, Inc. QTI specification and can be used as a tests editor or as a server for creating a networked testing framework.

Compendium of console functions for Python (similar to BC conio.h) Actually: atof(s): btoi(ch): btos(ch): charfilter(ch): clrscr(n=150): cmp(a, b): finput(b=""): getarrow(): getch(): gotoxy(x=0,y=0): imput(b=""): ink(x=7): isint(x=0): islin (): iswin (): nceil(x, d=0): nfloor(x, d=0): ninput(b=""): noalpha(s="c4as."): nround(x, d=0): paper(x=0): pause(n=0): putchar(ch): putch(ch): val(s):

Effort to translate Python documentation in Bulgarian (starting with Python Tutorial).

py-education aims to create a unified education suite for Linux.

Python Infusion - Simple animations and slideshow presentations using Python and Pygame.

A flashcard program for learning Japanese. Written in Python and PyGTK.

The PYthon LInguistic Laboratory (pylilac) is a Python library and a set of tools to help in studying, analyzing and engineering languages.

python-mastery is a collection of course materials created by David Beazley for teaching advanced Python programming concepts. It emphasizes deep understanding through real-world coding exercises and topics like generators, decorators, closures, and metaclasses. The repository is designed for learners who already know the basics of Python and want to push their skills to an expert level.

Python Tutorials is a large set of educational tutorials focused on Python and related technologies, catering especially to learners who want hands-on examples and clear explanations. Created by an experienced instructor and educator, the repository covers a wide range of programming basics and advanced topics. This includes foundational Python concepts, data processing with libraries like NumPy and pandas, threading and multiprocessing for concurrency, and practical use of libraries such as Matplotlib for data visualization. It also provides tutorials on machine learning frameworks and concepts, including TensorFlow, PyTorch, Keras, Scikit-Learn, and reinforcement learning techniques. Each section contains organized code and explanations designed to help learners understand the underlying mechanics of Python and common computational approaches.

Python Zero to Hero for DevOps Engineers is a structured “Python Zero to Hero for DevOps Engineers” course laid out as a day-by-day learning path. The repository is organized into Day-01 through Day-19 folders plus a small sample app, which makes it very easy to follow in sequence like a bootcamp. The curriculum starts with Python installation, environment setup, and writing your first script, then quickly moves into data types, strings, regular expressions, variables, and functions. It places a strong emphasis on DevOps-specific use cases: environment variables, command-line arguments, configuration handling, and automating log analysis or user management tasks are all explicitly woven into the exercises. As you progress, you encounter increasingly rich Python features such as lists (with list comprehensions), dictionaries, sets, operators, and control flow, always tied back to practical automation or infrastructure examples.