Search Results for "learn to code"
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Showing 52 open source projects for "learn to code"
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99.99% Uptime for MySQL and PostgreSQL on Google CloudCloud SQL Enterprise Plus gives you a 99.99% availability SLA with near-zero downtime maintenance—typically under 10 seconds. Get 2x better read/write performance, intelligent data caching, and 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server with built-in vector search for gen AI apps. New customers get $300 in free credit.
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Deploy Apps in Seconds with Cloud RunCloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
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Source Code Hunter
Source code analysis of Spring, MyBatis, Redis, Netty, and more
...The project aims to bridge the gap between theoretical knowledge and real-world application by providing step-by-step annotated explorations of core components in these frameworks. It’s a valuable resource for Java developers preparing for interviews, system design discussions, or those looking to strengthen their ability to read and learn from production-level code. -
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Roadmap To Learn Generative AI In 2025
Basic Machine Learning Natural Language Processing Roadmap
Roadmap To Learn Generative AI In 2025 is a curated learning path focused on contemporary generative AI — covering large language models (LLMs), diffusion-based image generation, prompt engineering, multi-modal AI, fine-tuning techniques, and the practical considerations for deploying generative models. It’s aimed at learners and developers who already have some programming or ML basics and wish to specialize in generative AI, offering a modern, structured plan that reflects the state of the... -
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Aprendiendo React
A course to learn React
...The README links each module to a corresponding YouTube class, covering topics such as React basics, hooks like useState and useEffect, data fetching and custom hooks, advanced hooks (useRef, useMemo, useCallback, useContext, useReducer, useId), routing, lazy loading, and React with TypeScript. The code is organized into a projects workspace, managed with pnpm and TypeScript configuration files, reflecting how modern React apps are actually structured in production. In practice, you learn by following the classes and then exploring or modifying the corresponding project folders, so the repo works as both reference code and a playground. ... -
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ML for Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
...The repository includes quizzes, solutions, and instructor materials to make the content usable in classrooms or self-study. It emphasizes ethical considerations and model evaluation—accuracy is not the only metric—so students learn to validate and communicate results responsibly. By the end, participants can build end-to-end ML experiments, interpret outputs, and iterate with confidence rather than just copying code. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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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. ... -
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ThePrimeagen's init.lua
Neovim configuration repository
...Users can clone and adapt this repository as a starting point for their own Neovim customization, taking advantage of presets that already incorporate best practices for productivity and code clarity. Because the repository captures a historical commit log with explanations of changes, readers can trace decisions and learn how different configuration elements interact. -
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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! -
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The Data Engineering Handbook
Links to everything you'd ever want to learn about data engineering
The Data Engineering Handbook is a comprehensive, community-curated repository that aggregates essential learning resources for anyone interested in becoming a professional data engineer. Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. It includes beginner and intermediate boot camps, interview guides,... -
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Elixir Koans
Elixir learning exercises
...The project is ideal for both complete beginners and developers transitioning from other languages who want to learn Elixir in a structured, exploratory way. Its design emphasizes discovery, experimentation, and reflection, making it a powerful tool for deepening understanding of Elixir’s unique paradigms. -
Build on Google Cloud with $300 in Free CreditStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query exabytes in BigQuery, or build AI apps with Vertex AI and Gemini. Once your credits are used, keep building with 20+ products with free monthly usage, including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. Sign up to start building right away.
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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,... -
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LWT ◆ Learning With Texts [Official]
A feature-rich web application for language learning through reading
...Please note: All LWT forks on the web that I've found and tested are either outdated or buggy, even though they contain some new features or cleaner source code. This OFFICIAL VERSION is from the original author. It is stable and bug-free. -
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eBook
LaTeX book with examples, open-source eBook
LaTeX can be a challenging system to learn, but with this book of different examples, it becomes interesting and easier than ever. This comprehensive guide covers a lot of essentials and is written in a clear and concise style, showing the result vs code. Plus, it's #opensource and freely available, creating a collaborative learning environment. In this book the I try to reveal how you can find necessary pieces of TeX code looking only at already done work. ... -
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Python Data Science Handbook
Python Data Science Handbook: full text in Jupyter Notebooks
The Python Data Science Handbook is a comprehensive collection of Jupyter notebooks written by Jake VanderPlas covering fundamental Python libraries for data science, including IPython, NumPy, Pandas, Matplotlib, Scikit-Learn and more. The project is designed for data scientists, researchers, and anyone transitioning into Python-based data work; it assumes you already know basic Python and focuses more on how to use the ecosystem effectively. Each chapter is a standalone Jupyter notebook, with runnable code, explanatory prose, visuals, and examples showing how to handle data-wrangling, exploratory data analysis, machine learning workflows, and visualization. ... -
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The Fish Cookbook
From Shell to Plate: Savor the Zest of Fish
The Fish Cookbook is a curated collection of practical recipes, tutorials, and user-contributed examples for the Fish shell, designed to help both beginners and intermediate users get the most out of Fish’s powerful and expressive scripting environment. Instead of treating Fish as a niche or simple alternative shell, this cookbook showcases real solutions for common shell tasks such as prompt customization, tab completion, scripting patterns, task automation, environment configuration, and... -
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Spring and Hibernate for Beginners
Source code for the course: Spring and Hibernate for Beginners
This repository contains code and resources for learning Spring and Hibernate, tailored to beginners looking to understand Java-based web development. Here is a Spring Boot Learning Path and Roadmap to help you learn more about Spring Boot. These are links to luv2code courses on Udemy. You can purchase the courses to further your studies. -
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Hello AI World
Guide to deploying deep-learning inference networks
Hello AI World is a great way to start using Jetson and experiencing the power of AI. In just a couple of hours, you can have a set of deep learning inference demos up and running for realtime image classification and object detection on your Jetson Developer Kit with JetPack SDK and NVIDIA TensorRT. The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train... -
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Brain Tokyo Workshop
Experiments and code from Google Brain’s Tokyo research workshop
...The repository includes implementations, experimental data, and supporting research papers that accompany published studies. Notable works such as Weight Agnostic Neural Networks and Neuroevolution of Self-Interpretable Agents highlight the team’s exploration of how AI can learn more efficiently and transparently. Overall, this repository serves as an open research hub for sharing ideas and advancing the understanding of intelligent systems. -
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Learn and Play
XML-based framework for developing games
XML-based framework for developing games in (ActionScript 2.0, discontinued) HTML5 Phaser.io's engine It'd been thought to develope a project with a great amount of games on drag&drop, painting, typing, hunting, puzzles.There's no need to write the same code to similar games! Just write some XML lines (check samples) and one JavaScript instruction to run your game. NOTE: some browsers security policies do not allow to run samples locally. If this occurs, try to publish on a web site -
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Machine Learning PyTorch Scikit-Learn
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Initially, this project started as the 4th edition of Python Machine Learning. However, after putting so much passion and hard work into the changes and new topics, we thought it deserved a new title. So, what’s new? There are many contents and additions, including the switch from TensorFlow to PyTorch, new chapters on graph neural networks and transformers, a new section on gradient boosting, and many more that I will detail in a separate blog post. For those who are interested in knowing... -
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90DaysOfDevOps
The journey towards a better foundational knowledge of DevOps
...What is and why do we use DevOps. Learning a Programming Language. Knowing Linux Basics. Understand Networking. Stick to one Cloud Provider. Use Git Effectively. Automate Configuration Management. Learn Infrastructure as Code. And much more! -
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CSS Animation 101
Learn how to bring animation to your web projects
CSS Animation 101 is a tutorial resource that teaches the fundamentals of motion on the web using only CSS. It starts with core building blocks—transitions, transforms, and keyframes—and then layers in timing functions, delays, and choreography to create more expressive sequences. The material stresses clarity and maintainability, showing how to structure styles so animations are easy to reason about and adjust. Throughout, examples demonstrate practical use cases like button feedback,... -
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Lucid
A collection of infrastructure and tools for research
Lucid is a collection of infrastructure and tools for research in neural network interpretability. Lucid is research code, not production code. We provide no guarantee it will work for your use case. Lucid is maintained by volunteers who are unable to provide significant technical support. Start visualizing neural networks with no setup. The following notebooks run right from your browser, thanks to Collaboratory. It's a Jupyter notebook environment that requires no setup to use and runs... -
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3 Rs of Software Architecture
A guide on how to write readable, reusable, and refactorable software
...It focuses on three architectural “ilities”: readability, reusability, and refactorability, presenting them in a hierarchical framework so developers can evaluate and improve their code and system design. The project uses a simple shopping-cart application written in JavaScript and React/Redux to illustrate how code evolves from “bad” via “better” to “good” across those three dimensions. By examining common smells—poor naming, deep nesting, long functions, tight coupling—readers learn how to restructure code to improve maintainability. ... -
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FFmpeg libav tutorial
FFmpeg libav tutorial
FFmpeg libav tutorial, learn how media works from basic to transmuxing, transcoding and more. Most of the code in here will be in C but don't worry: you can easily understand and apply it to your preferred language. FFmpeg libav has lots of bindings for many languages like python, go and even if your language doesn't have it, you can still support it through the ffi (here's an example with Lua). -
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Python Tutorials
Machine Learning Tutorials
...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.
