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Back to krishnaik06/complete-python-bootcamp

Open-source alternatives to Complete Python Bootcamp

30 open-source projects similar to krishnaik06/complete-python-bootcamp, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Complete Python Bootcamp alternative.

  • trekhleb/learn-pythontrekhleb avatar

    trekhleb/learn-python

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    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

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    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

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  • realpython/materialsrealpython avatar

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    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

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  • visualize-ml/book1_python-for-beginnersVisualize-ML avatar

    Visualize-ML/Book1_Python-For-Beginners

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    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

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    This project is a collection of practical scripts and reference guides that demonstrate advanced Python language features and idioms. It provides code implementations for mastering concepts such as concurrency, metaprogramming, and data structure design. The repository includes examples of the Python object model, covering custom attribute access, descriptor protocols, and special method overrides. It also features implementations of design patterns that utilize first-class functions and decorators to reduce object-oriented boilerplate. The codebase covers a broad range of capabilities, incl

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  • xianhu/learnpythonxianhu avatar

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    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

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    jackzhenguo/python-small-examples

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    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

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    ShujiaHuang/Cpp-Primer-Plus-6th

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    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

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  • digitalinnovationone/trilha-python-diodigitalinnovationone avatar

    digitalinnovationone/trilha-python-dio

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    This project is a comprehensive collection of instructional guides and modules designed as a structured educational path for mastering the Python programming language. It provides a curriculum that covers everything from core language syntax and fundamentals to professional software development practices. The resource includes specialized guides for object-oriented programming and web development. It focuses on the implementation of server-side applications using web frameworks and the application of design patterns. The material also covers fundamental programming building blocks, including

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  • mouredev/hello-javamouredev avatar

    mouredev/hello-java

    4,304View on GitHub↗

    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

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    This project is an interactive programming curriculum and educational system designed to teach computer science and software engineering. It provides a structured set of courses and professional roadmaps focused on backend engineering, DevOps, and systems fundamentals. The platform is distinguished by an AI-powered coding tutor that provides Socratic guidance and contextual hints to help students find solutions independently. It features a browser-based code sandbox using WebAssembly to eliminate local environment setup, alongside automated test-based grading and spaced-repetition logic to re

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    View on GitHub↗3,415
  • microsoft/c9-python-getting-startedmicrosoft avatar

    microsoft/c9-python-getting-started

    8,012View on GitHub↗

    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

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    View on GitHub↗8,012
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    26,516View on GitHub↗

    Python is a high-level, interpreted programming language designed for readability and versatility. It operates via a bytecode-based virtual machine and manages memory automatically through reference-counting garbage collection. The language supports multiple programming paradigms, including object-oriented, imperative, and functional styles, and provides a comprehensive standard library for system operations, networking, and data handling. The language is distinguished by its dynamic nature, allowing for runtime object introspection and metaclass-driven class creation. It utilizes protocol-ba

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    This project is a comprehensive technical interview preparation guide and computer science knowledge base. It serves as a structured study resource designed to help software engineers review core engineering concepts and prepare for professional coding assessments. The repository focuses on a wide array of theoretical and practical domains, including detailed references for mobile application architecture and operating system fundamentals. It provides curated materials on software architecture patterns and network protocol analysis to support professional development. The content covers foun

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    This project is an educational resource and a collection of instructional materials for performing data manipulation and statistical analysis using Python. It provides a comprehensive set of guides and code examples for using the Pandas, NumPy, and Matplotlib libraries to analyze structured data. The resource includes a dedicated guide for reshaping, cleaning, and aggregating tabular data and time series via Pandas, alongside a reference for high-performance vectorized operations and linear algebra using NumPy. It also features tutorials for creating publication-quality charts, distribution p

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    7,262View on GitHub↗

    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

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    xcatliu/typescript-tutorial

    10,725View on GitHub↗

    This is a comprehensive tutorial for learning TypeScript, designed for JavaScript programmers who want to understand the language's type system and modern features. The resource covers TypeScript's core identity, including its structural type compatibility, compile-time type erasure, declaration file merging, and the discriminated union pattern for precise type narrowing. The tutorial distinguishes itself by providing a progressive learning path from basic JavaScript concepts to advanced TypeScript patterns. It covers generic type parameter constraints, tuple types with fixed-length positions

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    The Rust Programming Language Book is the official technical guide and educational resource for the Rust language. It provides a comprehensive walkthrough of the language's design, focusing on its core identity as a systems programming language that enforces memory safety and high-performance execution without the need for a garbage collector. The project is distinguished by its focus on ownership, borrowing, and lifetime tracking, which allow the compiler to verify memory safety and thread safety at compile time. It covers the language's unique approach to zero-cost abstractions, including t

    Rustbookmdbookrust
    View on GitHub↗17,930
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    adambard/learnxinyminutes-docs

    12,287View on GitHub↗

    This project is a collection of programming language references and syntax cheat sheets designed for rapid developer onboarding. It serves as a library of code-based documentation that uses valid source code files to provide whirlwind tours of various language specifications. The project focuses on programming language learning by providing concise, commented code examples that explain core features and syntax in place. This approach enables developers to quickly grasp language-specific patterns, data types, and execution flow through a consistent reference format. The content covers a broad

    Markdown
    View on GitHub↗12,287
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    joaoventura/full-speed-python

    4,077View on GitHub↗

    This project is a Python programming textbook and educational resource designed as a structured learning path for self-paced technical education. It functions as an interactive coding course that guides learners through the Python language using a sequence of conceptual introductions and practical problem-solving exercises. The resource is delivered as a digital ebook, with the content exported into portable PDF and EPUB formats for distribution and offline reading. The project is authored using markdown-based content and plain-text source versioning, utilizing a build system to convert thes

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    View on GitHub↗4,077
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    yidao620c/python3-cookbook

    12,009View on GitHub↗

    This project is a Python 3 programming cookbook and reference guide. It provides a collection of translated recipes and implementation patterns designed to solve common coding tasks and software architecture problems using Python 3 syntax. The resource serves as a library for Python design patterns and a guide for applying advanced language features and standard library functions to real-world problems. It focuses on practical examples of programming patterns and software engineering best practices to improve code maintainability and quality. The content is organized as a series of language

    Jupyter Notebookpythonpython3python3-cookbook
    View on GitHub↗12,009
  • microsoft/ai-edumicrosoft avatar

    microsoft/ai-edu

    14,065View on GitHub↗

    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

    HTML
    View on GitHub↗14,065
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    dabeaz/python-cookbook

    4,023View on GitHub↗

    This project is a collection of practical and idiomatic Python code recipes, technical tutorials, and programming references. It serves as an example-driven resource that translates theoretical programming concepts into executable Python source code. The repository is organized as a series of standalone scripts and modular recipes. Each sample is designed for stateless execution, allowing individual problem-solving patterns to be run independently without shared global state or complex setup. The content focuses on Python language mastery and software development. It covers the implementatio

    Python
    View on GitHub↗4,023
  • leisurelicht/wtfpython-cnleisurelicht avatar

    leisurelicht/wtfpython-cn

    12,724View on GitHub↗

    This project is a Chinese translation of a technical reference and educational resource focused on the Python interpreter. It serves as a collection of case studies and examples designed to explain unintuitive execution patterns, obscure language behaviors, and the internal mechanics of the Python language specification. The resource translates complex technical explanations from English to Chinese to improve accessibility. It focuses on mapping specific code patterns to internal execution logic, linking observed results to language rules to resolve confusing behaviors. The content covers se

    Jupyter Notebook
    View on GitHub↗12,724
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    satwikkansal/wtfpython

    36,990View on GitHub↗

    wtfpython is a behavioral reference and catalog of language edge cases for the Python programming language. It serves as a guide to common development mistakes and ambiguous code structures that lead to unexpected results. The project identifies counter-intuitive code patterns and unexpected behaviors to help developers avoid pitfalls and logical errors. It utilizes a collection of curated examples to document language quirks and specific formatting conflicts, such as indentation errors. The reference includes verification of how specific code snippets behave across different versions of the

    Pythondocumentationgotchasinterview-questions
    View on GitHub↗36,990
  • datawhalechina/joyful-pandasdatawhalechina avatar

    datawhalechina/joyful-pandas

    5,164View on GitHub↗

    This project is a comprehensive pandas data analysis tutorial and instructional guide designed for learning data manipulation and analysis. It serves as a tabular data processing guide and a manual for time series analysis, providing a structured approach to cleaning, merging, and transforming datasets. The repository functions as a data feature engineering course, providing tutorials on constructing and selecting dataset features to improve machine learning model performance. It also includes a vectorized data operations guide for performing element-wise mathematical computations and matrix

    Jupyter Notebookpandas
    View on GitHub↗5,164
  • munificent/wrenmunificent avatar

    munificent/wren

    8,039View on GitHub↗

    Wren is a bytecode-compiled, class-based scripting language designed as an embeddable programming language. It provides a lightweight runtime and interface for executing dynamic scripts directly within host software applications. The engine utilizes a single-pass compiler to transform source code into compact bytecode and a virtual machine to process those instructions. It supports concurrent task execution through a system of lightweight fibers and coroutines. The language implements a class-based object model with dynamic message dispatch for organizing code into reusable components. It al

    Wren
    View on GitHub↗8,039
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    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

    Wrenbytecodecfibers
    View on GitHub↗8,043
  • wesm/pydata-bookwesm avatar

    wesm/pydata-book

    24,668View on GitHub↗

    This project serves as a comprehensive textbook and educational resource for data analysis using the Python ecosystem. It provides a structured guide to manipulating, cleaning, and processing datasets, focusing on the core tools required for numerical computing and statistical analysis. The repository distinguishes itself by offering a collection of practical code examples and workflows that demonstrate how to perform complex data tasks. It covers the application of vectorized numerical computations, the management of time-indexed data, and the creation of statistical visualizations to commun

    Jupyter Notebook
    View on GitHub↗24,668
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    sadanandpai/javascript-code-challenges

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    This repository is a collection of JavaScript coding challenges and a comprehensive interview guide. It provides reference implementations and educational examples designed to help developers master language fundamentals and prepare for technical interviews. The project covers a wide array of specialized implementations, including functional programming patterns like currying and partial application, as well as asynchronous patterns for concurrency control. It also includes practical examples of Document Object Model manipulation and the implementation of common data structures such as stacks

    MDXchallengescoding-interviewfrontend
    View on GitHub↗4,451