Open Source Linux Education Software - Page 61

System independent command line calculator written in C (C99 standard). Expression is first converted to Reverse Polish Notation and then evaluated.

This is a piece of multi platform software designed to teach you the harder of the multiplication tables between 3 and 9. It is also extremely lightweight

Command-line-text-processing is a curated educational repository providing many examples and tutorials on how to use various command-line tools for processing text: searching, replacing, sorting, transforming, filtering, etc. It covers tools like grep, sed, awk, perl, Ruby one-liners, file attribute commands, sorting, tail/head/less/cat, and many more. It's intended as a learning resource, with explanations, examples, exercises, solutions. It is archived (read-only), but still serves as a large compendium of text processing patterns for Unix-like command line environments. Provides hands-on examples, exercises and solutions so learners can practice. Also has E-book versions (PDF/EPUB) of many chapters so content can be read offline or in nicer formatting.

Comment.It is a web based system that allows the insertion of notes on WEB Pages.It was developed using JAVA technology and use a relational dbase to maintain the notes.It runs in a servlet engine like TOMCAT and any RDBMS compatible with JDBC/ODBC.

This is a community messaging/discussion system. The software is geared towards the needs of a college town.

A Community Learning Network is a fully functioning content management system designed especially for the non-profit social service sector. Simple to use, yet powerful content and permission management tools. E-learning focus, and multilingual support.

Comprehensive compilation of open-source software and data that aid the learner of the Japanese language. The project explicitly aims to be cross-platform so as to include the widest audience possible as well as support different modes of access.

CompLearn is a general-purpose compression-based machine learning system that uses data compression to learn or data mine patterns in arbitrary data.

Companion notebooks for Deep Learning is a collection of Jupyter notebooks that accompany François Chollet’s deep learning curriculum, providing hands-on implementations of key concepts using practical examples. The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The material is designed to be accessible while still covering advanced topics, making it suitable for both beginners and intermediate practitioners. It leverages modern libraries and frameworks to demonstrate real-world applications of deep learning techniques. The notebooks also emphasize best practices in model training, evaluation, and deployment. Overall, this project serves as a comprehensive educational resource for learning deep learning through practical experimentation.

Proyecto para comprender y aplicar los conceptos de la asignatura Autómatas, Gramática y Lenguajes en FUTCO 9° Semestre de Ingeniería de Sistemas II° ciclo

Este é um projeto acadêmico, desenvolvido pelos alunos da Univali do campus de São José, estudantes da Linguagens formais e autômatos. O objetivo deste trabalho é desenvolver um projeto de compiladores.

Course Compiler Design I at the ETH Zuerich (Switzerland). The course program is to write a simple compiler for educational language J01 (similar to Java, with restrictions) for a target platform (either DLX, SPARC or x86).

A complete scuba diving toolkit, which includes goodies such as mixing/blending utilities, divelog, and dive/decompression planner.

Complete-Python-Bootcamp is a structured learning repository designed to walk learners from the very basics of Python to more advanced, real-world topics. It is organized into multiple numbered folders that mirror a course syllabus, starting with Python basics and control flow, then moving into data structures, functions, and modules. As you progress, you encounter practical concerns such as file handling, exception handling, and working with classes and objects, which are essential for writing robust applications. Later sections dive into advanced Python concepts, including memory management, multithreading, and multiprocessing, giving learners exposure to performance and concurrency topics that many beginner courses skip. The bootcamp also includes dedicated modules for data analysis with Python, working with databases, and logging, helping learners connect Python skills to data science and backend engineering tasks.

Composer quiz: listen to a piece and guess the composer. Online multi-player game. A lot of ratings and statistics. Author site: http://arkhipenko.weebly.com

Comprehensive Rust is an open source training course developed by Google to provide a complete introduction to the Rust programming language. Originally created for Google engineers, it has since been released publicly for the broader developer community. The course is structured into modular lessons that cover the fundamentals of Rust, including ownership, lifetimes, traits, generics, and error handling, before progressing to advanced topics like concurrency, async programming, unsafe Rust, and FFI. It is designed to be taught in classroom settings but can also be followed independently, making it useful both for structured training and self-study. The materials are presented in a slide-based format with accompanying examples and hands-on exercises to reinforce key concepts. By offering an accessible yet thorough introduction, the course helps learners gain practical experience with Rust while building a strong understanding of its unique safety and performance guarantees.

Computational Thinking is an open source MIT course repository that teaches computational problem-solving through the Julia programming language. The course integrates mathematics, computing, and real-world applications into a unified curriculum, making it suitable for students across science, engineering, and data-driven fields. It emphasizes learning how to translate problems into computational terms and developing algorithms and models to analyze them effectively. Using Julia, the course highlights both mathematical reasoning and practical coding, bridging the gap between theory and application. The materials include lectures, notebooks, exercises, and projects that encourage experimentation and discovery. By combining programming with conceptual depth, the repository aims to build skills that are transferable across disciplines and essential for modern scientific inquiry.

Computer Breaker is a network testing tool that allows networking administrators to test if a computer is vulnerable to malicious attacks. Using the Nessus scanner, computer-breaker scans the remote host and automaticaly exploits its vulnerabilities.

Software tools to foster group communications in a technical club environment. Unlike regular discussion board software, ours will let users post computer code just as easily as regular text messages.

The books in this warehouse come from the Internet, and the copyright belongs to the original author. It is not for profit, but only for learning and use. If there is any infringement, please contact us.

In recent years, we've see an extra-ordinary growth in Computer Vision, with applications in face recognition, image understanding, search, drones, mapping, semi-autonomous and autonomous vehicles. A key part to many of these applications are visual recognition tasks such as image classification, object detection and image similarity. This repository provides examples and best practice guidelines for building computer vision systems. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in Computer Vision algorithms, neural architectures, and operationalizing such systems. Rather than creating implementations from scratch, we draw from existing state-of-the-art libraries and build additional utility around loading image data, optimizing and evaluating models, and scaling up to the cloud.

CVSharp (aka Computer Vision in C#) is a Computer Vision project. Until the present day just one part of the whole project was actually developed. It's called CVSharp Lab, an Image Processing Tool.

ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.

A PHP/Harmoni digital asset management tool, Concerto allows the cataloguing of multimedia in DublinCore, VRA, and user-defined schemes. Media can be searched across schemes, put into annotated slideshows, or used in other programs such as Segue2.

Concordia is a platform for crowdsourcing transcription and tagging of text in digitized images. It was developed by the Library of Congress so that volunteers of all backgrounds could transcribe and tag digitized images of manuscripts and typed materials from the Library’s collections that could not otherwise be done by optical character recognition.