Search Results for "tutorial"
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34 projects for "tutorial" with 2 filters applied:
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Prompt Engineering Interactive Tutorial
Anthropic's Interactive Prompt Engineering Tutorial
Prompt-eng-interactive-tutorial is a comprehensive, hands-on tutorial that teaches the craft of prompt engineering with Claude through guided, executable lessons. It starts with the anatomy of a good prompt and moves into techniques that deliver the “80/20” gains—separating instructions from data, specifying schemas, and setting evaluation criteria. The course leans heavily on realistic failure modes (ambiguity, hallucination, brittle instructions) and shows how to iteratively debug prompts the way you would debug code. ... -
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Pannellum
Pannellum is a lightweight, free, and open source panorama viewer
Pannellum is a lightweight, free, and open source panorama viewer for the web. Built using HTML5, CSS3, JavaScript, and WebGL, it is plug-in free. It can be deployed easily as a single file, just 21kB gzipped, and then embedded into pages as an <iframe>. A configuration utility is included to generate the required code for embedding. An API is included for more advanced integrations. -
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Flight rules for Git
Flight rules for git
...It’s organized as a series of “rules” that codify common operations, troubleshooting patterns, and strategic guidelines that can help both new and seasoned developers avoid common pitfalls with version control. Rather than being a tutorial or beginner’s guide, it focuses on higher-leverage advice like how to recover lost commits, manage rebases safely, handle merge conflicts, and maintain a clean commit history. Each rule is written in a concise, example-oriented style so users can quickly understand what to do and why it matters when they encounter a specific situation. ... -
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Servant
Haskell DSL for describing, serving, querying, mocking web apps
...From a single API specification, developers can derive server implementations, client libraries, documentation, and more—ensuring consistency and type safety across the stack. We have a tutorial that introduces the core features of servant. After this article, you should be able to write your first server web services, learning the rest from the haddocks' examples. The core documentation can be found here. Other blog posts, videos, and slides can be found on the website. The core documentation can be found here. Other blog posts, videos and slides can be found on the website. -
$300 in Free Credit for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credit—no hidden charges. Test, build, and deploy without risk. Use your credit across the Google Cloud platform to find what works best for your needs. After your credits are used, continue building with free monthly usage products. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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100 proyectos de JavaScript
100 JavaScript projects with code and videos for free
100 proyectos de JavaScript is a large collection of 100 JavaScript projects, each with source code and an accompanying video tutorial, offered entirely for free. The repository is tied to the website javascript100.dev, which presents the projects as a structured learning path so learners can progressively build their skills through practice.Each project lives in its own numbered folder (for example, 01-tinder-swipe), and the README explains how to run them via the VS Code Live Preview extension, making it easy for beginners to get them running without complex tooling. ... -
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TIL
Today I Learned
...Topics span everyday developer concerns: shell one-liners, Git incantations, editor tricks, language quirks, and small debugging patterns that save time. Because each note is atomic, the collection grows organically without becoming a tangled tutorial or book; readers can dip in anywhere and learn something useful in a minute. The repo format also encourages community contributions and personal forking, making it a template for teams to build their own shared knowledge base. Over years, it becomes both a reference and a record of the author’s learning journey, with the git history revealing how practices evolved. -
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GoNB
GoNB, a Go Notebook Kernel for Jupyter
...It already includes many goodies: cache between cell of results, contextual help and auto-complete (with gopls), compilation error context (by mousing over), bash command execution, images, html, etc. See the tutorial. It's been heavily used by the author (in developing GoMLX, a machine learning framework for Go), but should still be seen as experimental — if we hear success stories from others, we can change this. -
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React Projects
Collection of React example / tutorial projects
This repository is a collection of small-to-medium React applications that showcase practical patterns, from stateful widgets to multi-page interfaces. Each project is self-contained and demonstrates specific techniques—hooks for state and effects, context for global state, custom hooks for reuse, and reducer patterns for complex updates. The codebases include common UI tasks like forms, modals, lists, filtered search, and pagination, along with data fetching and basic routing where... -
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CSS Refresher Notes
Refresher of CSS concepts
CSS Refresher Notes is a comprehensive set of notes intended to help web developers revisit and solidify their understanding of core and advanced CSS concepts, organized as an approachable reference guide rather than a full textbook. The content spans foundational topics like positioning, display types, selectors, layout techniques, and box model intricacies, to more modern CSS capabilities such as media queries, responsive design principles, transitions, animations, and scalable vector... -
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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Learning Prompt
Free prompt engineering online course
Learning-Prompt is a curated repository of prompts, techniques, and instructional patterns designed to help people construct better prompts for AI systems, including generation, reasoning, and debugging tasks. It collects examples of effective prompt formats, chains of thought, strategy scaffolds, and comparative methods that help yield consistent, high-quality results. The project also includes meta-guidance: reflections on prompt failures, tips for prompt tuning, ways to mitigate model... -
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quantitative
Quantized transactions python3
The “quantitative” repository by Jack-Cherish is a tutorial-style codebase for quantitative trading written in Python — essentially a learning resource that guides users through building algorithmic trading strategies step by step. It’s organized as a sequence of lessons (lesson1, lesson2, etc.), making it approachable for learners who want to understand both theory and practice in quantitative finance. -
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FancyToast-Android
Make your native android Toasts Fancy
...Make your native Fantasy dialogue android. A library that takes the Android dialog standard to the next level with a variety of style options. Your dialogue style from the code. Fantasy Tutorial is a simple and lightweight library that helps you create fresh and beautiful introduction displays for your applications without having to write dozens of lines of code. As its name describes it, it is an Android library that can be used to display badges that react like facebook. -
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the-way-to-go_ZH_CN
The Chinese translation of "The Way to Go" Guide
the-way-to-go_ZH_CN is the Chinese translation of the Go programming book The Way to Go, known as (“Go Introduction Guide”). The translator, along with a team of contributors, created this project to make a high-quality Go learning resource accessible to Chinese readers who might struggle with English-language books. The README explains that the original author, Ivo Balbaert, granted authorization for the translation and even for updating certain content to match newer Go versions. The... -
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go-fundamental-programming
Set of video and voice tutorials for the Go language
go-fundamental-programming is the code and notes repository for the Chinese video course, a foundational Go programming tutorial aimed at beginners. The author positions it explicitly as a way to share the knowledge and pitfalls accumulated while learning Go, so that new learners can avoid common mistakes and weird corner cases. The course is delivered as a series of lectures, and each lecture has a dedicated lectureX.md file that serves as classroom notes, listing the knowledge points covered and the timestamp at which each segment starts. ... -
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Introduction to Vue.js 3 Course
Workshop Materials for my Introduction to Vue.js Workshop
...Also included are build setups (Vue CLI, Nuxt) and additional sections on animation and advanced topics like custom directives, making it a full learning path rather than just a quick tutorial. The README lists slide sets, exercise folders, solution folders and recommended tooling so that learners can clone the repo and follow along in their own time. -
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or... -
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ReinventCommunity
Jupyter Notebook tutorials for REINVENT 3.2
This repository is a collection of useful jupyter notebooks, code snippets and example JSON files illustrating the use of Reinvent 3.2. -
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jsoncat
Lightweight HTTP framework built in Java
jsoncat is a lightweight HTTP framework built in Java (using Netty) that aims to replicate some of the feel of Spring Boot—but in a minimal, educational style focused on clarity rather than full enterprise complexity. The project is organized as a small library and tutorial-style codebase, where core HTTP handling, routing, and JSON processing are exposed in a compact way so learners can trace how HTTP requests are parsed and dispatched. Because it avoids heavy abstractions and auto-magical configuration, it’s suited to developers who want to understand what happens beneath frameworks rather than just use them. ... -
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ArangoDB Interactive Tutorials
Repository for all ArangoDB interactive tutorial notebooks
Choose your favored cloud platform with ArangoGraph, a full-managed, scalable, and high-performance graph database service that delivers the added value of an integrated document store, full-text search engine, and geospatial capabilities. This unified solution offers seamless, hassle-free management of these diverse data models and types, relieving you of operational overhead and allowing you to focus on innovation and development. Run on ANY system. Plus, ArangoDB supports Kubernetes... -
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Trip.js
Trip.js is a plugin that can help you customize a tutorial trip easily
Trip.js is a plugin that can help you customize a tutorial trip easily with more flexibility. Right now Trip.js supports lots of useful stuff like keyboard binding, animations, changing themes ... etc. If you want to highly customize your own tutorial trip, then Trip.js is definitely worth giving it a try. -
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Liberator
Liberator is a Clojure library for building RESTful applications
Liberator is a Clojure library designed for building RESTful web APIs in a principled, declarative manner. It abstracts HTTP semantics into resource constructs driven by representational state transfer, allowing deep control over HTTP behavior and content negotiation. Liberator used to be known as compojure-rest. It got renamed in July 2012. Liberator is loosely modeled after WebMachine and shares the same aims as Bishop. The examples in this document rely on you installing Leiningen 2. -
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Functional, Data Science Intro To Python
[tutorial]A functional, Data Science focused introduction to Python
The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing. -
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Python/xarray tutorial
Python/xarray tutorial for GEOS-Chem users
If the page is loaded successfully, you should see a Jupyter notebook interface. Then, click on the first notebook to get started. Jupyter combines Python code, execution results, plots, custom texts, and even Latex formulas in a single page. Besides using the Jupyter program, you can also view the static notebook on GitHub (e.g the first notebook). Python is free & open-source so can be easily installed on any machines. To best way to get the scientific Python environment is using the Conda... -
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Flasky
Companion code to my O'Reilly book "Flask Web Development"
Flasky is a comprehensive example web application built with the Flask microframework that demonstrates best practices for developing real-world Python web applications, covering everything from project structure and configuration to database models, authentication, and deployment. It serves as both a tutorial and sample codebase that walks developers through building a full-featured web application, including user registration and login, role-based permissions, user profiles, and content creation. The project shows how to organize a Flask application into reusable blueprints, configure environment-specific settings, integrate SQL databases via SQLAlchemy, and manage migrations. ... -
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Python in neuroscience
Collection of tutorials about methods of computational neuroscience
"Python in neuroscience" is a collection of collaboratively edited tutorials on computational neuroscience methods using Python language. Each tutorial is presented as a literate programming tutorial mixing text, code, and figures. The tutorials offer an introduction to basic methods of computational neuroscience and scientific programming in Python. They are authored in the environment called Jupyter Notebook -- you can even try it in your browser.
