Search Results for "teach" - Page 4
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Showing 286 open source projects for "teach"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Blockly Games
Games for tomorrow's programmers
Blockly Games is a collection of educational games that teach core programming concepts using Google’s Blockly visual blocks. Each game introduces ideas like sequencing, loops, conditionals, functions, and variables through playful puzzles that gradually increase in difficulty. Under the hood, the block programs compile to JavaScript, giving learners a bridge from drag-and-drop logic to real code. -
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KEditor
An Editor to teach Programming Fundamentals using Karel Robot
This Editor is used for educational purposes in First Programming Course. It is integrated with Karel Robot library developed by Stanford. It is a secure editor with limited capabilities to enforce the students to avoid copy and paste, do it by yourself methodology. You can use Karel commands and write new functions and run your program without any hassle to configure Karel. Every program stamped with Author name which, once set, is not allowed to be changed. You need to install JDK 1.8 or... -
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Ruby Warrior
Game written in Ruby for learning Ruby
Ruby Warrior is a text-based programming game designed to teach Ruby through interactive challenges. Players write a Ruby script that controls a warrior climbing a tower, fighting enemies, rescuing captives, and searching for stairs. Each level introduces new abilities while increasing uncertainty and difficulty. The warrior follows the logic written in the play_turn method, so players must anticipate conditions before the level begins. -
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Practical Machine Learning with Python
Master the essential skills needed to recognize and solve problems
Practical Machine Learning with Python is a comprehensive repository built to accompany a project-centered guide for applying machine learning techniques to real-world problems using Python’s mature data science ecosystem. It centralizes example code, datasets, model pipelines, and explanatory notebooks that teach users how to approach problems from data ingestion and cleaning all the way through feature engineering, model selection, evaluation, tuning, and production-ready deployment patterns. The repository emphasizes end-to-end workflows rather than isolated code snippets, showing how to handle common challenges like class imbalance, overfitting, hyperparameter optimization, and interpretability. ... -
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Azure Zero to Hero Course
Repository to learn Azure from Zero
Azure Zero to Hero Course is a comprehensive, day-by-day course repository designed to teach Azure fundamentals and practical skills from the ground up, targeted especially at aspiring DevOps engineers. The README is structured as a multi-day curriculum: early days cover cloud concepts, terminology, and Azure basics such as regions, availability zones, resource groups, and VM creation. Subsequent days dive into networking (VNets, subnets, NSGs, load balancers, firewalls), storage services, Azure CLI, IAM/RBAC, and Azure DevOps. ... -
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scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
scikit-learn-videos repository accompanies a video tutorial series designed to teach machine learning using Python’s scikit-learn library. It provides the Jupyter notebooks used in each lesson so learners can reproduce the demonstrations and experiment with the code themselves. The series introduces fundamental machine learning concepts such as classification, regression, model evaluation, feature engineering, and cross-validation using clear examples and real datasets. -
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Vanilla Web Projects
Mini projects built with HTML5, CSS & JavaScript
vanillawebprojects is a collection of small, hands-on web apps built with only HTML, CSS, and plain JavaScript to teach core front-end skills without frameworks. Each project targets a concrete concept—DOM manipulation, events, localStorage, fetch, form validation, audio/video APIs, and more—so learners see ideas applied in working code. The codebases are intentionally compact and readable, making them easy to clone, tweak, and extend. Projects progress from beginner-friendly to moderately advanced, offering a steady ramp of difficulty and variety. ... -
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ToRA
Tool-integrated Reasoning LLM Agents
...The framework was designed to address known weaknesses of large language models in mathematical problem solving and formal reasoning tasks. Training data includes tool-use trajectories that teach the model when to reason verbally and when to delegate tasks to specialized tools. -
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WordleSolver
Wordle Solver written in BASH
This Wordle solver is written in BASH, and filters through /usr/share/dict/words to narrow down the possible solutions. To use it, simply download the script and make it executable. " chmod u+x PATH/wordlesolver_VERSION.sh " This project was created with the intent to teach BASH programming to students in a fun and meaningful way.. Wordle is a trademark of its respective owners. No endorsement by any trademark holder is stated or implied. -
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React Demos
A collection of simple demos of React.js
This repository is a curated collection of small, focused React examples intended to illustrate core concepts through runnable code. Each demo isolates a single idea—such as component composition, state and props, lifecycle hooks, or event handling—so learners can see cause and effect without framework noise. The code favors clarity over abstraction, making it easy to copy, tweak, and compare different approaches to the same problem. Many examples are deliberately minimal, showing just... -
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Complete Machine Learning Package
A comprehensive machine learning repository containing 30+ notebooks
Complete Machine Learning Package repository is a comprehensive educational collection of machine learning notebooks designed to teach core data science and AI concepts through practical coding examples. The project includes more than thirty notebooks that cover a wide range of topics including data analysis, statistical modeling, neural networks, and deep learning. Each notebook introduces theoretical ideas and then demonstrates how to implement them using Python libraries commonly used in data science, such as NumPy, pandas, scikit-learn, and TensorFlow. ... -
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O'Doyle
A rules engine for Clojure(Script)
...And you will, too, when you use O'Doyle Rules, a rules engine for Clojure and ClojureScript. Stop being one of those jabronis that don't rule things. When I was a kid in Virginia our teacher tried to teach us the names of cities in our state by letting us be the "rulers" of them. My buddy Roger said he ruled Richmond. I said I ruled Chicago because I was a Bulls fan and didn't understand geography. I don't recall why I'm telling you this. -
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Vulnerable Web Apps
Vulnerable Web Apps virtual appliance to learn application security.
Hello! My name is Manuel Santander. I teach at local Universities courses about web application security. I prefer to teach my students in a practical way, where they are able to interact with specific cases, learn the vulnerabilities and perform asessments. There were not that many alternatives for virtual appliances that covers what I wanted to teach, so I decided to mount my own appliance. -
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JPL Open Source Rover Project
A build-it-yourself, 6-wheel rover based on the rovers on Mars
...JPL is always looking to inspire the next generation of scientists, engineers, and roboticists to help us explore and learn about our solar system (and beyond!). We release the plans for this rover as a way to try and give budding enthusiasts a fun robotics project that will help teach them and get them involved in robotics sooner and at a lower cost. The specific attributes of the robot you build will depend slightly on the type of electronics and motors you buy for the system. -
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The Fish Cookbook
From Shell to Plate: Savor the Zest of Fish
...Through clear examples and “copy-paste ready” solutions, users can learn idiomatic Fish scripting techniques that leverage Fish’s modern features like universal variables, autosuggestions, and colorized prompts. Because Fish’s syntax diverges from POSIX shells like bash/zsh, the cookbook helps close the gap by providing approachable, real-world snippets that teach both functionality and style. -
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hello-algorithm
Algorithm training for Xiaobai
hello-algorithm is an educational repository designed to teach data structures and algorithms through clear explanations, visualizations, and code examples. It provides a structured learning path that covers fundamental concepts such as arrays, linked lists, trees, graphs, sorting algorithms, and dynamic programming. The project emphasizes understanding over memorization by breaking down complex topics into intuitive explanations supported by diagrams and examples. -
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Gosu
2D game development library for Ruby and C++
...It provides a window and a main loop. 2D graphics and text, powered by OpenGL or OpenGL ES. Sounds and music, keyboard, mouse, and gamepad input. Gosu is mostly used to teach or learn Ruby or in short game development competitions. It’s also a great prototyping tool and should work for indie game development, though nobody has really tried that. In addition to the documentation linked from the sidebar, there is a free book by Mark Sobkowicz that will guide you through the creation of four different games. -
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ThinkJulia.jl
Port of the book Think Python to the Julia programming language
...It provides a comprehensive introduction to programming and computational thinking using Julia’s modern, high-performance features. The book is structured to gradually teach core concepts such as variables, control flow, functions, recursion, object-oriented programming, and data structures, while offering hands-on exercises to reinforce each topic. By combining clear explanations with practical examples, the project helps both beginners and experienced programmers transition to Julia. The material emphasizes not only writing code but also reasoning about algorithms and problem-solving. ... -
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Flutter Tutorials
Source code for all the tutorials on FilledStacks' channel
This repository is a collection of educational Flutter projects created to teach best practices, patterns, and real-world app features. Each tutorial is structured as a separate mini-project focusing on a topic like state management, navigation, responsive layouts, or service integration. It emphasizes clean architecture, testability, and scalable code, showing developers how to go beyond toy examples. Tutorials often come with detailed commentary or videos to explain design decisions. ... -
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haskell-trainings
Haskell 101 and 102: slides and codelabs
Haskell Trainings is a collection of slides, exercises, and documentation used by Google to teach Haskell programming. It covers a wide range of topics from beginner to advanced, including functional programming principles, monads, type classes, concurrency, and performance. The repository is designed to support self-paced learning or instructor-led training and reflects Google's internal education efforts to promote functional programming skills. -
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Spring Boot Examples
Spring Boot tutorials, technology stack example code
spring-boot-examples is a collection of small, runnable projects that teach Spring Boot “by example,” emphasizing minimal dependencies and practical, copy-pasteable patterns. The repository provides multiple standalone demos (e.g., web, scheduling, persistence, messaging, caching, Docker) to help beginners quickly grasp common components and idioms. The author notes that all examples have been updated to Spring Boot 3.0, with earlier 1.x and 2.x code paths kept accessible for reference. ... -
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data-science-on-gcp
Source code accompanying book: Data Science on the GCP
The data-science-on-gcp repository is a comprehensive collection of code examples and end-to-end workflows that accompany the book Data Science on the Google Cloud Platform, designed to teach developers how to build scalable data science and machine learning systems using Google Cloud services. It provides structured, chapter-aligned implementations that guide users through the full lifecycle of a data science project, including data ingestion, storage, processing, analysis, model training, and deployment. The repository is organized into multiple directories that reflect real-world pipelines, such as ingesting data, running SQL-based analytics, streaming data processing, using Spark and Dataproc, applying BigQuery ML, and deploying models with Vertex AI. ... -
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makemore
An autoregressive character-level language model for making more
...Training progress, checkpoints, logs, and generated samples are written to a selected working directory. Models can also be loaded in sample-only mode for generating additional outputs without retraining. Its main purpose is to teach how increasingly sophisticated autoregressive language models work. -
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System Programming Roadmap
A roadmap to teach myself compiler dev, malware reverse engineering
system-programming-roadmap is a curated roadmap and resource guide designed to help learners navigate the complex world of system-level programming. It aggregates high-quality tutorials, books, project ideas, and documentation links related to topics such as operating systems, file systems, kernel development, networking, and compilers. This repository is ideal for beginners looking to structure their learning or for experienced developers seeking to expand their knowledge in a structured... -
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DuranDuranbot
Teachable/trainable artificially intelligent music bot
A teachable/trainable artificially intelligent music bot fundamentally inspired by how the new wave band Duran Duran composes music. This program utilizes many algorithmic/AI techniques/processes, including machine learning; which allow you to teach/train it to compose music which you prefer... and the technique which is the foundation of the design of DuranDuranbot, which was directly inspired by how Duran Duran writes music........ Called, "bit by bit circular composition"....... and it's explanation can be found here - https://scsynth.org/t/bit-by-bit-circular-composition/1107 This program is written in the SuperCollider programming language - https://en.wikipedia.org/wiki/SuperCollider Contact - ken_brant@ymail.com
