Search Results for "modules"
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63 projects for "modules" with 2 filters applied:
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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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Complete-Python-Bootcamp
The complete Python bootcamp guide
...The bootcamp also includes dedicated modules for data analysis with Python, working with databases, and logging, helping learners connect Python skills to data science and backend engineering tasks. -
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Archbase
Open source version of "Fundamentals of Computer Architecture"
...The name “archbase” suggests that it could be a baseline architecture or reference templates for projects, possibly spanning front-end, back-end, or full stacks. The repo likely provides starter code, directory structures, configuration files, core modules, and guidelines that enforce certain architectural conventions (e.g. MVC, layered architecture, plugin systems). It might include sample modules or example features to demonstrate how to build on the base architecture, showing how to extend, override, or integrate components in a consistent manner. Developers can clone or fork archbase as a starting point so they don’t need to structure everything from scratch, helping them focus on business logic. -
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Mall Learning
Tutorial and sample-code repository
...With clearly organized “tiny” modules (mall-tiny-01 etc) the repo supports step-by-step incremental learning. -
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learnhouse
The Next-gen Open Source learning platform for everyone
...Built with modern web technologies such as TypeScript, the platform supports flexible content creation workflows that allow instructors to organize lessons, resources, and learning modules. LearnHouse can be self-hosted, which allows educational institutions or communities to deploy and control their own learning infrastructure. The project also provides a community edition designed for deployment using Docker Compose, simplifying the setup process for local or cloud hosting environments. -
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JSCamp InfoJobs
Content and exercises fromJSCamp InfoJobs
JSCamp InfoJobs is the companion repository for JSCamp InfoJobs, an intensive full-stack JavaScript bootcamp in Spanish designed to take students from fundamentals to advanced topics. It is organized into numbered modules like 00-html-css, 01-javascript, 02-react, 03-router-and-zustand, 04-node, 05-typescript, 06-inteligencia-artificial, 07-sql, 08-ci-cd, and 09-docker, mirroring the curriculum of the bootcamp.The README explains that students will build a complete project step by step throughout the bootcamp, applying each module’s lessons to a single real-world application, which is ideal for portfolio building. ... -
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Python Core 50 Courses
Structured learning path that organizes Python fundamentals
Python-Core-50-Courses is a structured learning path that organizes Python fundamentals into 50 digestible lessons designed for steady, incremental progress. The curriculum starts with the basics—syntax, variables, data types, and control flow—then advances to functions, modules, object-oriented programming, and common standard-library utilities. Each lesson favors hands-on examples and short exercises so learners can immediately apply new concepts in code. Later sections typically touch on practical topics such as file I/O, error handling, regular expressions, and simple networking, giving learners a toolbox for everyday scripts and utilities. ... -
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Hello Python
Comprehensive tutorial repository aimed at teaching the Python program
...The material covers the fundamentals—variables, data types, loops, functions—as well as intermediate topics like date handling, list comprehensions, file IO, regular expressions, modules, and packages. The course is designed to be accessible: no prior programming experience required, and the resources are freely available. In addition, it is accompanied by a practical coding approach (projects) and is maintained as an open-source repository under Apache-2.0 license. It’s ideal for learners who want structured content, hands-on practice, and community guidance to build their Python skills. -
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freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum
freeCodeCamp is a nonprofit educational platform that offers a self-paced curriculum for learning web development, programming, data visualization, APIs, and algorithms. It features interactive coding challenges, real-world projects, and guided progress through topic modules, culminating in certificates for completed tracks. A key aspect is that students contribute to open-source projects for nonprofits or internal tooling as part of their learning, reinforcing both technical and collaborative skills. The community includes discussion forums, local chapters, and peer support, which helps learners break through obstacles and stay motivated. ... -
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Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
...It contains a comprehensive collection of Jupyter Notebooks designed to teach Python programming from the ground up. The repository covers a wide range of Python topics, including data types, control flow, functions, object-oriented programming, error handling, modules, and advanced concepts like decorators and generators. In addition, it includes applied exercises in areas such as web scraping, working with APIs, and using Python libraries like NumPy, pandas, Matplotlib, and Seaborn for data analysis and visualization. Learners can progress from beginner-friendly basics to more advanced programming skills while reinforcing their knowledge with practice problems and projects. ... -
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DSA Bootcamp Java
This repository consists of the code samples, assignments, and notes
...The project provides explanations, exercises, assignments, and practice problems, making it useful for both beginners and intermediate learners who want to strengthen their Java and algorithmic skills. The repository is organized into multiple modules that start with Java basics and gradually progress toward arrays, recursion, sorting, searching, linked lists, stacks, queues, trees, graphs, dynamic programming, and other advanced topics. It is a popular resource for students preparing for coding interviews, competitive programming, or computer science fundamentals. -
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Elixir Koans
Elixir learning exercises
Elixir Koans is an interactive learning project designed to teach the fundamentals of the Elixir programming language through a series of self-guided coding exercises. Inspired by the style of koans used in other programming communities, it provides incomplete code snippets and failing tests that learners must solve to progress. Each exercise builds on the previous one, gradually introducing core concepts such as pattern matching, recursion, processes, and concurrency in Elixir. By debugging... -
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AI Researcher
An autonomous AI researcher
...Each agent operates with clear roles — such as researcher, analyst, and summarizer — and they communicate through a task-management interface that ensures progress tracking and iterative refinement. The system emphasizes modularity, so teams can swap in new reasoning modules, data retrieval strategies, or domain knowledge bases depending on the research topic. Through self-supervised feedback loops, agents adjust their strategies based on prior outcomes, improving both the quality and relevance of results over time. -
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Comprehensive Rust
This is the Rust course used by the Android team at Google
Comprehensive Rust is an open source training course developed by Google to provide a complete introduction to the Rust programming language. Originally created for Google engineers, it has since been released publicly for the broader developer community. The course is structured into modular lessons that cover the fundamentals of Rust, including ownership, lifetimes, traits, generics, and error handling, before progressing to advanced topics like concurrency, async programming, unsafe Rust,... -
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CodeJo
Web-based introductory coding environment
CodeJo is a web app that allows users to write Python code to control a web canvas element (a pixel grid) or another graphical display element. At this time, grid (web canvas) and fabric (a library that also uses a web canvas) are available, but new modules can be added to the system. -
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...All current work and new releases are on github: https://github.com/OpenJML/OpenJML. The Java Modeling Language (JML) is a behavioral interface specification language that can be used to specify the behavior of Java modules (as in design by contract -- DBC). It has many tools to do assertion checking, unit testing, etc. The principal current tool of the project is OpenJML -- cf. https://www.openjml.org, with binary downloads from https://github.com/OpenJML/OpenJML/releases/latest
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Python Zero to Hero for DevOps Engineers
Learn Python from DevOps Engineer point of you
Python Zero to Hero for DevOps Engineers is a structured “Python Zero to Hero for DevOps Engineers” course laid out as a day-by-day learning path. The repository is organized into Day-01 through Day-19 folders plus a small sample app, which makes it very easy to follow in sequence like a bootcamp. The curriculum starts with Python installation, environment setup, and writing your first script, then quickly moves into data types, strings, regular expressions, variables, and functions. It... -
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Digital Forensics Guide
Learn all about Digital Forensics and Computer Forensics
...It organizes foundational topics such as evidence acquisition, disk and memory analysis, file system structures, network forensics, artifact extraction, timeline generation, and reporting into digestible modules that help build core competency. Alongside conceptual explanations, the guide includes practical examples with widely used tools (like Autopsy, Volatility, Sleuth Kit, and network analysis suites), illustrating how investigations proceed from initial data capture to final analysis. The goal is to provide both a learning path and a quick reference for real-world casework, bridging the gap between academic theory and operational practice. -
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Data Analysis for the Life Sciences
Rmd source files for the HarvardX series PH525x
...The content covers topics such as data wrangling in R, statistical inference, genomics workflows, Bioconductor packages, and project-based analyses. Because it’s open and modular, contributors can suggest improvements, update modules, or add new exercises. -
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30 Days of Elixir
A walk through the Elixir language in 30 exercises
30-days-of-elixir is an educational repository created by Josh Adams (seven1m) designed to teach the fundamentals of the Elixir programming language through a structured, daily learning approach. The project provides a series of exercises and examples meant to guide learners from the basics of Elixir syntax to more advanced functional programming concepts. Each day introduces new material in a concise and practical format, encouraging hands-on experimentation and gradual mastery of the... -
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Functional-Light JavaScript
Pragmatic, balanced FP in JavaScript
...The writing favors intuition and trade-offs, explaining when a technique helps and when it becomes counterproductive. Numerous examples and exercises turn abstract ideas into patterns you can apply in everyday modules and services. It’s a developer-friendly path to writing clearer, more predictable code without abandoning JavaScript’s strengths. -
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jstutorial
Javascript tutorial book
...It explains core concepts like values and types, scope, functions, objects, and prototypes in a clear, example-driven style that favors short, readable snippets. The material steadily introduces modern features—modules, arrow functions, classes, destructuring, promises, and async/await—while relating them back to the underlying mechanics of the language. Beyond syntax, it explores how JavaScript actually runs, touching on the event loop, asynchronous patterns, and common pitfalls that trip up newcomers. The browser section covers DOM manipulation, events, storage, and network requests so readers can build interactive pages with confidence. ... -
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pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
...It is designed primarily for beginners and intermediate practitioners who want to understand PyTorch fundamentals and quickly move toward building real neural network models. The repository walks users through core concepts such as tensors, autograd, neural network modules, convolutional networks, recurrent networks, and transfer learning. Each section includes runnable code examples that progressively increase in complexity, helping learners build intuition while practicing hands-on implementation. Because the tutorials are concise and practical, the project is widely used in classrooms and self-study environments. ... -
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Think Bayes
Code repository for Think Bayes
ThinkBayes is the code repository accompanying Think Bayes: a book on Bayesian statistics written in a computational style. Instead of heavy focus on continuous mathematics or calculus, the book emphasizes learning Bayesian inference by writing Python programs. The project includes code examples, scripts, and environments that correspond to the chapters of the book. Learners can run the code, experiment with probability distributions, compute posterior probabilities, and understand Bayesian... -
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Node.JS Course
Materials, slides and other goodies from my Node.JS courses
...The curriculum also covers operational concerns like logging, metrics, health checks, and deployment pipelines so students can ship services with confidence. Code samples are opinionated but accessible, showing how to structure modules, controllers, and tests for clarity and changeability. By the end, participants have a working reference implementation they can adapt for real projects, along with a checklist mindset for production readiness. -
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Deep Learning for Medical Applications
Deep Learning Papers on Medical Image Analysis
...It includes Jupyter notebooks, model architectures, data preprocessing pipelines, and evaluation scripts specific to medical imaging tasks. The repository may also contain domain-specific modules: loss functions like Dice, focal loss, metrics such as sensitivity/recall/IoU, and visualization utilities for overlaying segmentation masks.
