Open Source Python Education Software - Page 20

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.

Ppygvoc is a vocabulary trainer, written in python (uses pygtk2 - gtk2). This is now inactive, because I use pauker for that. Its also on sourceforge.

Python course (in Spanish) for Proteomics analysis using basically Jupyter NoteBooks. For more information, you can have a look at the readme.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/p4p/code/ci/default/tree/readme.md

PythonPark is a large, curated “learning playground” for Python — essentially a comprehensive self-study meta-repository aimed at helping learners progress in Python programming, data science, machine learning, web scraping, and software engineering practices. It aggregates tutorials, learning guides, project examples, and resources across topics: from Python basics and data structures to machine learning, web scraping, and even interview preparation and “programmer life” guidance. Because of this breadth, PythonPark serves both as a reference library (for quick lookup) and as a structured learning path for beginners and intermediate learners in Python. For someone self-teaching Python (or transitioning into coding/data science), the repository presents a one-stop “home base” of content, saving them from hunting scattered tutorials across the internet.

Una aplicación educativa orientada al área matemática diseñada para la resolución del cálculo de los lados y ángulo de un triángulo mediante la utilización de los teoremas: Seno, Coseno y Pitágoras.

QA Assistant is a GNOME-Python program that aids in Quality Assurance. It creates a graphical checklist from an XML description. A reviewer fills in the checklist and then the program outputs a gpg-signed review for submittal to a tracking system.

Plugin for OpenOffice Writer 2. Allow convert text from document to QTI XML test format. It is Work in interective mode, convert not all document, but text in selection, interpreted as one qustion. For now allow create "choise" and "compare" ques

This project hosts material for QuantLib (http://quantlib.org) based Quantitative Finance courses

Creation and evaluation of questionnaires in HTML for Web and LaTeX for paper. Support for Principia's 'Remark'.

QuickDicom is an easy to use dicom medical imaging package for Mac OSX, providing QuickLook, Spotlight, Quartz Composer, Window/Level and a dicom file analyzer. Also included is the iiDicom Framework for image/dictionary usage in Objective C and Python.

Quick Quote allows you to store quotes and easily find them by searching for things like names, dates, events or anything else you tag when entering your quote. Great for history students, or people who often use quotes from people, such as historical, political figures, or actors, inventors, anyone who has said something worth remembering, and would like easy access to them.

Dictionary application for classical studies, based on Python and PyQt. Currently includes two dictionaries.