30 open-source projects similar to fluentpython/example-code, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Example Code alternative.
pysheeet is a technical reference library providing a curated collection of code snippets and implementation patterns for advanced Python development, system integration, and high-performance computing. It serves as a comprehensive guide for implementing low-level network programming, native C extensions, and asynchronous and concurrent programming. The project provides specialized frameworks for the development and deployment of large language models, including tools for distributed GPU inference and high-performance serving. It also includes detailed patterns for high-performance computing
This project is a comprehensive collection of Python programming education materials, including tutorials, exercises, and curated code samples. It serves as a learning curriculum and software engineering toolkit, utilizing Jupyter Notebooks to combine executable code with descriptive educational text. The repository provides practical implementation guides for building large language model applications, such as retrieval-augmented generation systems, stateful AI agents, and machine learning workflows. It distinguishes itself by offering a structured approach to agentic coding workflows, cover
This project is a comprehensive library of practical Python code examples and patterns. It provides a collection of scripts and snippets designed to demonstrate a wide range of programming tasks, from basic syntax to advanced implementation patterns. The repository focuses on several core domains, including the implementation of concurrency and multithreading examples, data analysis snippets for cleaning and manipulating tabular data, and various data visualization examples. It also covers automation scripts for file system management and a variety of general programming patterns. Additional
This is a comprehensive Python programming course and technical curriculum designed to take users from foundational syntax to advanced development patterns. It serves as a multi-disciplinary educational suite covering programming fundamentals, object-oriented design, and data analysis. The project provides specialized guides on professional development techniques, including the use of decorators, generators for memory management, and dunder-method operator overloading. It also includes instructional material on executing parallel tasks through concurrency and multiprocessing to reduce executi
This project is an educational resource designed for learning the Python programming language. It serves as a tutorial repository and programming guide, providing a collection of annotated scripts, code examples, and cheatsheets to help users master syntax and core fundamentals. The resource focuses on moving from basic language syntax to advanced implementation, with a particular emphasis on object-oriented programming, the use of the Python standard library, and scripting automation for business workflows. The content covers a broad range of programming capabilities, including control flow
This project is a comprehensive Python style guide and technical reference designed to promote the creation of clean, maintainable, and idiomatic code. It provides a set of opinionated guidelines and architectural patterns focusing on functional and declarative programming to reduce complexity and improve overall code quality. The guide establishes specific standards for naming conventions, module organization, and project layout. It emphasizes reducing object coupling by favoring modules and functions over deep class hierarchies and offers technical standards for writing docstrings and marku
This project is a comprehensive programming course and educational curriculum designed to transition developers from basic scripting to advanced software development. It provides structured guides and technical exercises focusing on language internals, professional software architecture, and sophisticated programming techniques. The curriculum distinguishes itself through a deep focus on language internals, analyzing object behavior and memory efficiency to improve execution speed. It provides specialized instruction on metaprogramming using decorators and dynamic attributes, as well as async
This project is an educational repository and programming guide for Python 3. It provides a collection of runnable code samples and implementation details designed to help users learn the core features, syntax, and logic of the language. The repository utilizes a case-study driven approach, using practical examples and guided implementation to demonstrate common patterns and standard library functions. The content is organized into a linear progression curriculum, grouping related language features into topic-based modules.
This project is a collection of instructional resources and curriculum materials designed to teach the Java language. It provides a structured programming course, a fundamentals guide, and an object-oriented programming tutorial, supported by a series of practical coding exercises and implementation challenges. The curriculum focuses on implementing object-oriented patterns, including inheritance, polymorphism, and abstraction. It covers the creation of classes, the use of interfaces to define behavioral contracts, and the application of access modifiers to control data visibility. The educa
Eloquent-JavaScript is a comprehensive JavaScript programming textbook and interactive coding tutorial designed for web development education. It serves as both a language reference and a practical guide, combining theoretical lessons with an environment where learners can execute and modify code examples. The project focuses on the fundamental principles of the JavaScript language, including lexical scoping, prototype-based inheritance, and asynchronous patterns. It provides detailed instruction on object-oriented programming, functional programming, and the use of the browser DOM to create
This repository is a collection of practical code samples and an idiomatic programming guide for the Python language. It serves as a reference for implementing advanced language features, data structures, and professional coding standards. The project focuses on demonstrating object-oriented architectures and structural design patterns. It provides a set of source files that illustrate the use of advanced Python capabilities to create readable and efficient software designs. The implementation covers asynchronous and concurrent execution patterns, as well as idiomatic software design and pro
LearnPython is a programming tutorial consisting of a collection of practical code examples used to demonstrate Python language features and programming patterns. It serves as a comprehensive learning resource that implements core language concepts through functional code. The project provides specialized guides and samples covering several key domains. These include asynchronous network programming with event loops and coroutines, data visualization using numerical datasets for 2D and 3D plots, and web scraping for fetching content and automating login flows. It also features instructions on
Amp is a non-blocking concurrency framework for PHP. It provides a core infrastructure for writing asynchronous applications using an event loop to schedule operations, timers, and signals within a single process. The project implements a coroutine library that utilizes fibers to suspend and resume function execution. This allows the system to handle concurrent tasks without blocking the main execution thread, optimizing CPU usage during input and output operations. It further manages pending operation results through a future and promise implementation. The framework covers a broad range of
This project is a C++ learning resource and study guide consisting of structured notes and programming examples. It provides practical implementations and exercise solutions covering core language syntax, data types, and control flow. The repository features specialized samples for object-oriented design, including class inheritance, polymorphism, and abstract classes. It includes demonstrations of memory management techniques such as dynamic allocation, move semantics, and placement new, as well as template programming examples for creating generic functions and data structures. The codebas
This project is a collection of condensed technical references and study guides for the C++ language. It serves as a language cheat sheet and programming reference covering core syntax, standards, and data organization patterns. The resource provides specialized guides for algorithm study, data structure reference, and technical interview preparation. It includes materials for reviewing computational complexity and efficient data structure usage for competitive programming. The content covers broad capability areas including object-oriented programming, memory management, and generic program
Wren is an embeddable, class-based scripting language and bytecode interpreter. It provides a dependency-free virtual machine designed for integrating dynamic script execution into host applications via a C API. The language is centered on a modern object-oriented model featuring inheritance, method overloading, and first-class functions. It utilizes a concurrent fiber runtime to manage lightweight, cooperatively scheduled execution paths without relying on operating system threads. The project includes a comprehensive suite of object-oriented primitives, closure-based state capture, and a m
SwiftTips is a curated collection of guides, libraries, and design patterns focused on Swift language mastery, application architecture, and API design. It provides a technical resource for implementing advanced coding techniques and architectural best practices. The project emphasizes creating type-safe and conversational interfaces through strategic protocol composition and generics. It offers specialized patterns for building modular UI systems and managing complex view hierarchies, alongside comprehensive strategies for unit testing and dependency injection. The resource covers a broad s
This repository serves as a comprehensive resource for competitive programming and technical interview preparation. It provides a structured collection of source code implementations for fundamental data structures and classic algorithmic problems, designed to help developers master core computer science concepts and efficient coding strategies. Beyond standard problem-solving, the project distinguishes itself by integrating software design patterns into its algorithmic implementations. It demonstrates how to apply structural and behavioral patterns—such as decorators, observers, and singleto
CrawlerTutorial is a comprehensive Python web scraping tutorial and framework designed for extracting data from static and dynamic websites. It functions as a web data extraction pipeline and an HTTP request orchestrator, covering the full lifecycle of scraping applications from initial fetching to final data storage. The project provides specialized guidance on anti-bot bypass techniques and web API reverse engineering. It includes methods for evading browser detection through identity masking and proxy rotation, as well as techniques for identifying hidden API endpoints by analyzing network
CppGuide is a curated collection of educational resources and practical guides focused on C++ server development, Linux kernel internals, concurrent programming, network protocols, and security exploitation. It provides structured learning paths for backend developers, covering everything from interview preparation to building high-performance network servers and understanding operating system fundamentals. The guide distinguishes itself by offering in-depth, hands-on tutorials that walk through real-world implementations, including building a Redis-like server from scratch, designing custom
This is an interactive Python tutorial delivered as a collection of Jupyter notebooks. It is designed as a structured learning path for beginners, teaching fundamental language concepts through a sequence of lessons that combine explanatory text with runnable code cells and embedded practice exercises. Each notebook is a self-contained unit that introduces a topic, demonstrates it with a minimal code example, and then asks the learner to write code themselves, receiving immediate feedback from the browser-based execution environment. The curriculum is built on a progressive concept-stacking mo
This project is a Python education repository and programming tutorial designed to teach language fundamentals, from basic syntax and variables to advanced concepts. It serves as a data science starter kit and a guide for REST API integration. The repository provides instructional scripts and sample code covering object-oriented programming patterns and asynchronous programming. It includes practical demonstrations for fetching and processing JSON data from external web services using HTTP requests. The materials cover a broad capability surface including data analysis workflows with interac
This project is a curated library of Python code examples, educational resources, and programming tutorials. It functions as an educational repository designed to teach Python language fundamentals through practical implementation tasks, real-world exercises, and functional code snippets. The collection covers a diverse range of implementation examples, including the development of interactive websites and message boards using web frameworks. It also features scripts for audio speech processing, automated media processing for images, and the extraction of data from web content. Additional ca
This project is an introductory programming course and educational resource designed to teach the basics of the Python language. It serves as a beginner guide to foundational programming concepts and syntax through a structured learning path. The curriculum focuses on Python language learning and scripting basics, enabling learners to build a foundational understanding of how to write and run code. Instructional materials are delivered through an example-driven curriculum that pairs runnable code snippets with hands-on exercises. The content is organized into a modular lesson structure using
This project is a comprehensive programming education platform designed to teach Python fundamentals through a structured curriculum. It provides a sequence of lessons and exercises that cover core language syntax, data structures, and object-oriented programming concepts to help beginners build a foundation in software development. The curriculum distinguishes itself through a modular design that decomposes complex topics into discrete, sequential units. It utilizes a multi-modal delivery approach, combining written documentation with video tutorials and code samples to accommodate different
This project is a Python data science curriculum and programming tutorial collection. It provides a structured set of educational notebooks and scripts designed to teach data analysis, machine learning, and deep learning. The repository serves as a learning path for building and tuning predictive models, including regression, decision trees, and neural networks. It includes a data visualization guide for creating financial time-series plots and a multiprocessing reference for implementing parallel task execution and shared memory synchronization. The curriculum covers broader capability area
ai-edu is a comprehensive AI education curriculum and machine learning courseware collection. It provides theoretical tutorials, deep learning lab exercises, and project blueprints designed to teach artificial intelligence fundamentals through a combination of study and practical implementation. The project focuses on a learning-by-doing approach, guiding users from Python programming and neural network basics to advanced topics. It includes specialized instructional content on distributed AI training, MLOps educational guides for model quantization and pruning, and detailed frameworks for im
This repository is a comprehensive collection of instructional guides and practical examples for Python development, focusing on machine learning, data science, and web scraping. It provides implementations for neural networks, reinforcement learning algorithms, and deep learning architectures using PyTorch, alongside detailed manuals for scientific computing and data visualization. The project distinguishes itself by offering specialized tutorials on concurrent programming to optimize CPU performance and guides for setting up Linux development environments. It covers the implementation of ad
Netpoll is an event-driven network framework and non-blocking I/O library designed to manage concurrent TCP and Unix domain socket connections. It utilizes a non-blocking event loop to monitor file descriptors and trigger callbacks for read and write events, serving as a high-performance socket manager and TCP network poller. The framework optimizes throughput across CPU cores by distributing incoming network connections across multiple pollers. It implements zero-copy networking primitives, using linked buffers and specialized memory management to read and write data while minimizing memory