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ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
This repository contains the second programming assignment for an R course, focused on caching expensive computations by leveraging R’s scoping rules. The assignment walks you through creating a special matrix object that stores both a matrix and its cached inverse, avoiding repeated calls to costly operations. It builds on a worked example that caches the mean of a numeric vector, demonstrating how the operator preserves state across function calls. You then implement analogous logic for matrices via two functions, one to construct the cache-aware object and another to compute or retrieve the cached inverse. The instructions emphasize using solve for inversion and assuming that the supplied matrix is always invertible. The repository outlines the workflow for forking, editing the provided R stub, committing your solution, and submitting your repository URL as the final deliverable. -
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Python Core 50 Courses
Structured learning path that organizes Python fundamentals
Python-Core-50-Courses is a structured learning path that organizes Python fundamentals into 50 digestible lessons designed for steady, incremental progress. The curriculum starts with the basics—syntax, variables, data types, and control flow—then advances to functions, modules, object-oriented programming, and common standard-library utilities. Each lesson favors hands-on examples and short exercises so learners can immediately apply new concepts in code. Later sections typically touch on practical topics such as file I/O, error handling, regular expressions, and simple networking, giving learners a toolbox for everyday scripts and utilities. The material aims to be beginner-friendly while still building habits that matter in real projects, like writing readable functions and testing logic. By the end, students should feel confident writing small to medium programs and be ready to explore web, data, or automation tracks. -
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React For Beginners
Starter files for learning React.js with React for Beginners
React For Beginners serves as the official starter code bundle for the “React For Beginners” course by Wes Bos, designed to help developers follow along (or revisit later) with the hands-on app built in the video series. The code includes the base app (“Catch of the Day”) and the stepped solutions at each video stage, giving learners a way to either build up by themselves or reference the exact result when needed. Because the project uses modern React tooling (Webpack, create-react-app style tooling, hot reload) and integrates Firebase, it gives a realistic entry into how React applications are structured in real work. It emphasises component architecture, state management, data flows, routing, and deployment rather than just “hello world”. For those new to React it lowers friction by giving much of the boilerplate already set up, allowing focus on learning. -
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Software Design in Haskell
Software Design in Haskell
This repository accompanies a comprehensive guide to building large, maintainable Haskell systems, focusing on architecture, modularity, and practical design techniques. It presents patterns for separating pure domain logic from side effects, organizing code into layers and components that can be tested in isolation. Readers encounter multiple styles—MTL/typeclass constraints, tagless-final encodings, free and freer monads, ReaderT-style application environments—and learn when to apply each. The examples emphasize explicit boundaries for infrastructure concerns such as persistence, logging, configuration, and external services to keep business logic clean. Throughout, the code illustrates dependency inversion in Haskell, showing how to swap implementations without pervasive rewrites. The result is a cookbook of strategies and runnable examples that help teams structure real-world Haskell applications beyond small scripts or academic exercises. -
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Statistics for Data Scientists
"Statistics for Data Scientists: 50 Essential Concepts"
The “statistics-for-data-scientists” repository is a pedagogical resource designed to bridge rigorous statistics theory and practical data science workflows. The code and materials are intended to help data scientists and analysts grasp statistical principles (e.g. inference, regressions, hypothesis testing, probability, confidence intervals) in contexts relevant to real data analysis tasks. The repository includes Jupyter notebooks, R scripts, worked examples, and possibly problem sets that illustrate how statistical methods are applied to real datasets. It aims to demystify the bridge between textbook statistics and empirical modeling by walking through assumption checking, visualization, interpreting outputs, and pitfalls of misuse. Throughout, the content emphasizes clarity and accessibility, showing not just how to run statistical tests or build models, but what they mean and when one method is preferred over another. -
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The Open Guide to Equity Compensation
Stock options, RSUs, taxes
The Open Guide to Equity Compensation is a plain-English handbook that explains how startup equity works for employees and founders. It walks through stock options, RSUs, vesting, cliffs, refresh grants, and exercise mechanics so readers understand both terminology and outcomes. Tax topics are covered at a practical level—AMT, 83(b), and how different equity types interact with taxes over time—so people can ask better questions of professionals. The guide emphasizes negotiating and evaluating offers, including dilution, liquidation preferences, and how to compare cash versus equity across companies and stages. It aims to reduce anxiety and confusion by presenting examples, rules of thumb, and trade-offs without legalese. While not a substitute for professional advice, it equips readers with a mental model to navigate compensation, retention, and exit scenarios more confidently. -
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Think Bayes
Code repository for Think Bayes
ThinkBayes is the code repository accompanying Think Bayes: a book on Bayesian statistics written in a computational style. Instead of heavy focus on continuous mathematics or calculus, the book emphasizes learning Bayesian inference by writing Python programs. The project includes code examples, scripts, and environments that correspond to the chapters of the book. Learners can run the code, experiment with probability distributions, compute posterior probabilities, and understand Bayesian updating via simulation and algorithmic methods. The book and code encourage thinking in terms of discrete approximations (sums over distributions) rather than continuous integrals, making it more accessible to many programmers. Over time, the repository has been updated (including a second edition version) to reflect improved practices, corrections, and modern Python tooling. -
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Think Python 2
LaTeX source and supporting code for Think Python, 2nd edition
ThinkPython2 is the repository for the second edition of Allen Downey’s Think Python textbook, which teaches programming fundamentals in Python to beginners. The code includes all of the example programs, exercises, and supplementary files referenced in the book, allowing learners to run the examples, experiment, and extend them. The repository contains clean, well-commented Python scripts that are easy to follow and map directly to chapters of the text, covering topics like variables, control flow, functions, recursion, data structures (lists, dictionaries), classes and objects, file I/O, and algorithmic thinking. It also contains solutions or hints for many exercises so learners can check their work or explore alternative implementations. Because it’s educational, the repository emphasizes readability, clarity, and progressive learning rather than performance tuning or advanced constructs. -
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Web Dev for Beginners
About 24 Lessons, 12 Weeks, Get Started as a Web Developer
Web-Dev-For-Beginners is Microsoft’s open source, project-based curriculum for learning web development from scratch. Designed as a 12-week, 24-lesson course, it covers HTML, CSS, and JavaScript fundamentals through hands-on projects like terrariums, browser extensions, and space games. Each lesson includes a mix of pre-lecture quizzes, written content, assignments, challenges, and post-lecture quizzes to reinforce learning. The course also offers global accessibility with translations in more than 40 languages and built-in support for running in GitHub Codespaces or locally in Visual Studio Code. This makes it a practical and engaging way for beginners to gain a solid foundation in web development. -
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build-web-application-with-golang
A golang ebook intro how to build a web with golang
This repository is an e-book and tutorial code base that demonstrates how to build a web application in Go (Golang). It provides step-by-step guidance, sample code, explanations, and best practices around routing, handlers, templates, sessions, form handling, file upload, JSON APIs, authentication, and more, intended for learners of Go web development. Code examples for routing, handlers, and HTTP request/response handling. REST API endpoints and JSON marshalling/unmarshalling. File uploads and static file serving. -
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interactive-coding-challenges
120+ interactive Python coding interview challenges
Interactive Coding Challenges is a collection of practice problems designed to strengthen data structures, algorithms, and problem-solving skills. The repository emphasizes a learn-by-doing approach: you read a prompt, attempt a solution, and verify behavior with tests, often within notebooks or scripts. Problems span arrays, strings, stacks, queues, linked lists, trees, graphs, dynamic programming, and more, mirroring common interview themes. Many challenges include hints and reference solutions so you can compare approaches and learn idiomatic patterns. The structure encourages incremental improvement—start with a brute-force idea, then refine to optimal time and space complexity. It serves both as a self-study path and as a warm-up bank for interview prep or coding katas. -
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ktrain
ktrain is a Python library that makes deep learning AI more accessible
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply. ktrain is a lightweight wrapper for the deep learning library TensorFlow Keras (and other libraries) to help build, train, and deploy neural networks and other machine learning models. Inspired by ML framework extensions like fastai and ludwig, ktrain is designed to make deep learning and AI more accessible and easier to apply for both newcomers and experienced practitioners. With only a few lines of code, ktrain allows you to easily and quickly. ktrain purposely pins to a lower version of transformers to include support for older versions of TensorFlow. If you need a newer version of transformers, it is usually safe for you to upgrade transformers, as long as you do it after installing ktrain. As of v0.30.x, TensorFlow installation is optional and only required if training neural networks. -
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os-tutorial
How to create an OS from scratch
os-tutorial is an open source educational project by cfenollosa that teaches the basics of building an operating system from scratch. The repository provides step-by-step lessons starting with bootloaders and moving through kernel development, interrupts, memory management, and system calls. Each tutorial is accompanied by clear explanations, code examples, and references to deepen understanding. The project uses x86 assembly and C to illustrate concepts, making it accessible to students and hobbyists interested in low-level programming. By compiling and running the examples with tools like QEMU, learners gain hands-on experience with OS fundamentals. With its structured lessons and approachable explanations, the repository has become a widely recommended resource for operating system beginners. -
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rustlings
Small exercises to get you used to reading and writing Rust code
This project contains small exercises to get you used to reading and writing Rust code. This includes reading and responding to compiler messages! Alternatively, for a first-time Rust learner, there are several other resources, like The Book, which is the most comprehensive resource for learning Rust, but a bit theoretical sometimes. You will be using this along with Rustlings! And also, Rust By Example, to learn Rust by solving little exercises! It's almost like rustlings, but online. You will need to have Rust installed. The exercises are sorted by topic and can be found in the subdirectory rustlings/exercises/<topic>. For every topic there is an additional README file with some resources to get you started on the topic. We really recommend that you have a look at them before you start. The task is simple. Most exercises contain an error that keeps them from compiling, and it's up to you to fix it! Some exercises are also run as tests, but rustlings handles them all the same. -
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LKTools
MS Word Add-In to create student and teacher version at same time
Dieses Word Add-In erleichtert die Erstellung von Unterlagen die im Rahmen der Schule benötigt werden. Die Hauptfunktion ist das aus- und einblenden von Texten und Formen. Dadurch wird es nicht mehr nötig separate Dokumente für die Lernenden und die Lehrkräfte zu erstellen. Die Folge ist eine effizientere Speicherung der Dokumente, mehr Übersichtlichkeit und geringere Fehleranfälligkeit bei nachträglicher Änderung der Dokumenteninhalte. Im Gegensatz zur Ausblendenfunktion von Word bleibt die Formatierung des Textes erhalten. Zudem bietet das Add-In noch kleinere Funktionen an, die bei der Erstellung von Dokumenten die Lehrkräfte unterstützt. Im Reiter "Files" können Video Tutorials heruntergeladen werden. -
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AraBoard
Herramientas de soporte a la comunicación alternativa y aumentativa
AraBoard es un conjunto de herramientas diseñadas para la comunicacion alternativa y aumentativa, cuya finalidad es facilitar la comunicacion funcional, mediante el uso de imagenes y pictogramas, a personas que presentan algun tipo de dificultad en este ambito. Dada la versatilidad de estas herramientas, AraBoard tambien puede ser utilizado para crear tableros con rutinas sencillas y tableros para anticipar la realizacion de cualquier tarea prevista. AraBoard puede ser utilizado en distintos dispositivos (ordenador, smartphone o tablet). Para su ejecucion se requiere el player Adobe Air (gratuito) instalado en el dispositivo. Actualmente, Araboard esta disponible para Windows y Android. Puedes ayudarnos a mejorar Araboard rellenando una corta y sencilla encuesta sobre tu experiencia usando Araboard: http://giga.cps.unizar.es/affectivelab/araboard_encuesta.html -
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Java provides the concurrent library that simplifies concurrent programming, but this is hard to learn and visualize. This project is a series of animations each illustrating the coding and usage of a component in the java concurrent library.
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Ultimate Mobile Development Kit
This kit holds the resources to learn and build mobile apps
Ultimate Mobile development kit has collections of tools, resources, tips and tutorials to start building mobile applications for major mobile platforms like Android, Blackberry, Windows, Meego and Cross Platform. Updated as and when possible to include latest files -
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PhysMo - Video Motion Analysis
A free video motion analysis package
PhysMo is a tool for frame-by-frame video analysis of motion. PhysMo can be calibrated to real-world distances, and exports object "X-Y displacement (m) against time (s)" data to Microsoft Excel. This enables calculation of velocity and acceleration -
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Al-anvar is an open source freeware dedicated for Quranic study and research. Some of its features are: Advanced search , Commenting tool , Indexing and Grouping , Add-ons for different translations and commentaries in many languages , Online and offline recitation
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Calc2LaTeX is an OpenOffice.org Calc (Spreadsheet) macro for converting tables. It makes making tables on LaTeX very easy.
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Client/server software, human language dictionary databases, and tools supporting the DICT protocol (RFC 2229).
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Advanced Trigonometry Calculator
Precision Trigonometry: Advanced Calculator for Complex Math
Advanced Trigonometry Calculator is equipped with a user-friendly interface that allows for easy input of problems and instant computation. Professionals such as engineers who need to perform advanced trigonometric calculations in their work will find this tool extremely useful. More info by clicking below: https://advantrigoncalc.sourceforge.io/ Advanced Trigonometry Calculator was only and always only developed by the Portuguese Renato Alexandre dos Santos Freitas. Also author of poems, reflections and thoughts published on the platform https://www.pensador.com/autor/renato_alexandre_dos_santos_freitas/ ATC is Made in Portugal. He was born in Coimbra on July 6, 1991. He has a degree in Electrical and Telecommunications Engineering and began developing ATC at the beginning of his undergraduate studies. He works for Miclearning, Lda since April 2020. Providing services to Multimac Hito Innovation.