Search Results for "learn computer basics"
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114 projects for "learn computer basics" with 1 filter applied:
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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DevOps Basics
Practical and document place for DevOps toolchain
You are new to DevOps or want to learn some DevOps tools, or you are already a DevOps engineer, and you are looking for DevOps documents and a place to practice DevOps tools? This repository will assist you in enhancing your DevOps skills and serve as a bookmark for documents related to DevOps. -
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Learn Regex The Easy Way
Learn regex the easy way
Learn Regex The Easy Way is a hands-on, interactive resource for learning regular expressions (regex) in a step-by-step, incremental way. Rather than just being a reference sheet, it is designed to help you build understanding gradually: you start with the basics like literal matching, then advance through character classes, quantifiers, groups, alternation, lookaheads/lookbehinds, and more advanced regex features. -
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Perfect Roadmap To Learn Data Science
Basic To Intermediate Python data science guide
Perfect Roadmap To Learn Data Science In 2025 is an extended, updated learning pathway curated for the modern data-science landscape — blending classical data-analysis, statistics, machine learning, deep learning, computer vision, NLP, as well as current deployment and MLOps practices to prepare learners for data-science careers in 2025. The roadmap is organized to guide learners systematically: starting with Python fundamentals and math/statistics, then progressing through classical machine-learning, deep-learning, data preprocessing, feature engineering, and onto domain-specific applications like computer vision or NLP, ending with deployment, real-world project construction, and best practices for production readiness. ... -
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The Python Computer Science Degree
This is a curated list of free courses from reputable universities
...It includes courses from reputable institutions such as Harvard, MIT, Stanford, and Princeton. The curriculum organizes learning into topics like computer science basics, programming, math, systems, theory, applications, and electives. It is useful for learners who want a serious long-term study plan without paying for a traditional degree program. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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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 art as of 2025. ... -
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System Design
Learn how to design systems and prepare for system design interviews
This project is an open, course-style repository designed to help you learn system design from fundamentals through advanced, interview-ready thinking. It organizes core networking and distributed-systems concepts into a structured path, so you can build intuition before jumping into “design X” exercises. It covers the building blocks that show up in real architectures, such as DNS, load balancing, caching, CDNs, proxies, scalability and availability tradeoffs, and storage patterns, then... -
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Three.js Skills for Claude Code
Collection of Three.js skill files
Three.js Skills for Claude Code repository is a curated collection of modular skills and educational code aimed at helping developers learn and apply Three.js, the popular JavaScript library for 3D graphics on the web. It groups foundational lessons, examples, and utilities that make it easier to set up 3D scenes, work with cameras, lighting, materials, shaders, and animation loops, and handle user interactions in a browser context. The project functions as a toolbox of practical snippets... -
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JavaGuide
"Java Learning + Interview Guide" covers the core Java knowledge
...It is especially popular among developers preparing for technical interviews, as it compiles common knowledge points, detailed explanations, and source code analyses that interviewers frequently explore. The repository also includes sections on computer science basics such as operating systems, networks, and data structures, along with practical guides for databases, Redis, MySQL, and MongoDB. Beyond core Java, JavaGuide covers tools like Maven, Docker, Git, and frameworks like Spring, Spring Boot, and MyBatis. Its structured approach makes it a comprehensive handbook for both beginners and experienced backend engineers. -
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A to Z of Networking for DevOps
Learn Networking from A to Z at one place with realtime examples
The A to Z of Networking for DevOps repository is a comprehensive, beginner-friendly guide designed to help DevOps practitioners and anyone new to networking understand core concepts through practical explanations and real-world examples. It structures networking fundamentals from basic IP addressing and subnetting all the way through modern container and cloud networking topics like Docker and Kubernetes, making it valuable for learners at different stages of their DevOps journey. The guide... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Courses (Anthropic)
Anthropic's educational courses
Anthropic’s courses repository is a growing collection of self-paced learning materials that teach practical AI skills using Claude and the Anthropic API. It’s organized as a sequence of hands-on courses—starting with API fundamentals and prompt engineering—so learners build capability step by step rather than in isolation. Each course mixes short readings with runnable notebooks and exercises, guiding you through concepts like model parameters, streaming, multimodal prompts, structured... -
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AI-Tutorials/Implementations Notebooks
Codes/Notebooks for AI Projects
AI-Tutorials/Implementations Notebooks repository is a comprehensive collection of artificial intelligence tutorials and implementation examples intended for developers, students, and researchers who want to learn by building practical AI projects. The repository contains numerous Jupyter notebooks and code samples that demonstrate modern techniques in machine learning, deep learning, data science, and large language model workflows. It includes implementations for a wide range of AI topics such as computer vision, agent systems, federated learning, distributed systems, adversarial attacks, and generative AI. ... -
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AI-Job-Notes
AI algorithm position job search strategy
AI-Job-Notes is a pragmatic notebook for landing roles in machine learning, computer vision, and related engineering tracks. It assembles study paths, checklists, and interview prep materials, but also covers job-search mechanics—portfolio building, resume patterns, and communication tips. The emphasis is on doing: practicing with project ideas, setting up reproducible experiments, and showcasing results that convey impact. It ties technical study (ML/DL fundamentals) to real hiring signals... -
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OpenVINO Notebooks
Jupyter notebook tutorials for OpenVINO
...Many notebooks include end-to-end examples that show how to prepare input data, load optimized models, run inference, and visualize results. The project is particularly useful for developers who want to learn how to optimize machine learning inference pipelines for production environments. -
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huihut interview
A summary of C/C++ technical interview basics
interview is a curated repository of technical interview questions, solutions, and explanations covering a wide range of topics in computer science and software engineering. It aims to help developers prepare for job interviews by providing sample problems in algorithms, data structures, system design, databases, and programming language intricacies, often with code snippets and discussion. The repo is designed so learners can practice real interview scenarios, compare approaches, and... -
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Companion notebooks for Deep Learning
Jupyter notebooks for the code samples of the book
Companion notebooks for Deep Learning is a collection of Jupyter notebooks that accompany François Chollet’s deep learning curriculum, providing hands-on implementations of key concepts using practical examples. The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The material is designed to be accessible while still covering advanced topics, making it suitable for both beginners and intermediate practitioners. ... -
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YOLOv9
Learning What You Want to Learn Using Programmable Gradient Info
...YOLOv9 is designed for real-time detection scenarios where both accuracy and efficiency matter. It is especially relevant for researchers and engineers comparing next-generation YOLO architectures or building production computer vision systems. -
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Ai-Learn
The artificial intelligence learning roadmap compiles 200 cases
Ai-Learn is an open-source artificial intelligence learning roadmap that aggregates educational materials, tutorials, and practical projects designed to help beginners study AI and machine learning systematically. The repository was created to help learners start self-study programs in artificial intelligence without getting overwhelmed by the large number of available resources. -
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learning
A log of things I'm learning
...The repository emphasizes clear explanations, curated resources, and concise notes designed to help developers learn complex topics efficiently. Because it is updated regularly, it reflects evolving trends in software engineering and emerging technologies such as modern AI systems. -
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Super comprehensive deep learning notes
Super Comprehensive Deep Learning Notes
Super comprehensive deep learning notes is a massive and well-structured collection of deep learning notebooks that serve as a comprehensive study resource for anyone wanting to learn or reinforce concepts in computer vision, natural language processing, deep learning architectures, and even large-model agents. The repository contains hundreds of Jupyter notebooks that are richly annotated and organized by topic, progressing from basic Python and PyTorch fundamentals to advanced neural network designs like ResNet, transformers, and object detection algorithms. ... -
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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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PyRx - Virtual Screening Tool
Virtual Screening software for Computational Drug Discovery
...While it is true that there is no magic button in the drug discovery process, PyRx includes docking wizard with easy-to-use user interface which makes it a valuable tool for Computer-Aided Drug Design. PyRx also includes chemical spreadsheet-like functionality and powerful visualization engine that are essential for Rational Drug Design. Please visits PyRx home page to learn more about PyRx and watch videos on how to use it. -
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Nootka
application to learn classical score notation.
Nootka helps understand the basics of music notation: reading and practicing playing musical scores. Long story short: the user plays notes (melody) displayed by the app, which then in real time checks if the notes was played correctly. The application is free and open source. It works under Windows, Linux, Mac and Android... -
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eduActiv8
A collection of interactive educational exercises
eduActiv8 is a free Open Source multi-platform educational application that aims to assist in learning various early education topics - from learning the alphabet and new words, colours, time to a wide range of maths-related subjects. eduActiv8 is a continuation of the development of the pySioGame project just under a new name. It is being developed on GitHub at: https://github.com/imiolek-ireneusz/eduActiv8 but 'compiled' releases are published here. The latest version has been... -
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EJE (Everyone's Java Editor)
Learn Java the easy way!
EJE is a simple Java editor, perfect to learn Java, without learning a complex development tool. EJE is multi-platform (written in Java), light- weight, user-friendly and have several useful basic features. A good help to start with Java! Supports the study of the Java for Aliens book (www.javaforaliens.com), or other my books (Italian Language) like www.nuovojava.it. You don't need to install the JDK anymore (the runtime is embedded). See the video "How to create the "Hello World App in... -
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InternVL
A Pioneering Open-Source Alternative to GPT-4o
InternVL is a large-scale multimodal foundation model designed to integrate computer vision and language understanding within a unified architecture. The project focuses on scaling vision models and aligning them with large language models so that they can perform tasks involving both visual and textual information. InternVL is trained on massive collections of image-text data, enabling it to learn representations that capture both visual patterns and semantic meaning. ...
