Search Results for "essential"
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Showing 36 open source projects for "essential"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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1
Master Spring and Spring Boot
Spring and Spring Boot Tutorial For Absolute Beginners
...It guides learners through creating web applications, REST APIs, and full-stack systems using technologies like JPA, Hibernate, and React. The course emphasizes hands-on development, allowing users to build real applications step by step. It also covers essential topics such as security, testing, and deployment. The repository includes guidance on containerization and cloud deployment using Docker and AWS. It is designed for beginners aiming to become proficient Spring developers. Overall, it provides a complete learning path from fundamentals to advanced concepts. -
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eLabFTW
Open source electronic lab notebook for research labs
...It also supports collaboration across teams, enabling multiple users to access shared records and streamline project workflows. The software features advanced search, tagging, timestamping, and export tools, which are essential for reproducibility and long-term project tracking. -
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Computational Thinking
Introduction to computational thinking with Julia
...The materials include lectures, notebooks, exercises, and projects that encourage experimentation and discovery. By combining programming with conceptual depth, the repository aims to build skills that are transferable across disciplines and essential for modern scientific inquiry. -
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The Data Engineering Handbook
Links to everything you'd ever want to learn about data engineering
The Data Engineering Handbook is a comprehensive, community-curated repository that aggregates essential learning resources for anyone interested in becoming a professional data engineer. Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. It includes beginner and intermediate boot camps, interview guides, data cleaning and transformation resources, and curated lists of newsletters and industry communities, making it useful both for self-study and technical interview preparation. ... -
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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Interviews
Comprehensive computer science and interview preparation guide
...It also includes practical coding examples and solutions that demonstrate how to approach and solve common problems asked at companies like Google, Amazon, Facebook, and Microsoft. By consolidating essential knowledge in one place, the project helps learners efficiently review concepts and practice effectively for interviews. -
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A to Z of Networking for DevOps
Learn Networking from A to Z at one place with realtime 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 breaks topics down into clear, digestible markdown files that include simple definitions, common use cases, and essential command-line examples, which makes the material approachable even if you are just starting out. It covers the full stack of networking concerns, such as DNS, HTTP/S protocols, load balancing, firewalls, VPNs, proxies, CDNs, and more, all with a practical orientation toward how these systems operate in real infrastructure. -
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33 JS Concepts
33 JavaScript concepts every developer should know
33-js-concepts is a curated collection of essential JavaScript concepts that every developer should understand to strengthen their knowledge of the language. The project was originally inspired by an article by Stephen Curtis and has since grown into a community-driven learning resource. It serves as a roadmap for developers to review and master core principles such as closures, promises, prototypes, event loops, and other critical topics. -
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PHP: The Right Way
An easy-to-read, quick reference for PHP best practices
...The repository serves as the source for the website PHP: The Right Way, which compiles recommendations, tools, and resources for learning and improving PHP development techniques. It covers essential topics such as coding style, dependency management, error handling, security, and testing, emphasizing modern PHP features and ecosystem tools. The project encourages developers to adopt frameworks, libraries, and patterns that align with current community conventions. Regular updates ensure that the content reflects the evolving state of the PHP language and industry standards, making it one of the most trusted educational references for PHP developers. -
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Preguntas de entrevista para React
Questions about React for job interviews
...and JSX basics to advanced topics such as hydration, server components, useTransition, useSyncExternalStore, server actions, streaming rendering APIs, and new React 19 features. It also includes JavaScript fundamentals that are essential for React, like array methods, optional chaining, arrow functions, and module syntax, so learners can strengthen their base while studying React itself. -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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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. Each lesson is accompanied by examples and clear explanations, so learners... -
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Complete-Python-Bootcamp
The complete Python bootcamp guide
...It is organized into multiple numbered folders that mirror a course syllabus, starting with Python basics and control flow, then moving into data structures, functions, and modules. As you progress, you encounter practical concerns such as file handling, exception handling, and working with classes and objects, which are essential for writing robust applications. Later sections dive into advanced Python concepts, including memory management, multithreading, and multiprocessing, giving learners exposure to performance and concurrency topics that many beginner courses skip. 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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EarQuiz Frequencies
Software for technical ear training on equalization
...Available for Windows 10, 11 (x64), macOS 11 or higher (both for Intel and Apple Silicon) and Linux. This application is based on (and deeply inspired by) the world-renowned Golden Ears method of David Moulton, whose course is half dedicated to building this essential critical listening skill. The overall training process involves ongoing learning and testing yourself. In the Learn mode, you listen to the pink noise or music (or other external audio) excerpts with switched off and on 1-octave or 1/3-octave graphic EQ, boosting or cutting frequency bands within certain spectral ranges. Then in the Test mode you are given a sequence of 10 similar examples, where you try to guess, which frequencies are boosted or cut, and you get scored. ... -
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JQM Java Quine McCluskey
JQM - Java Quine McCluskey for minimization of Boolean functions.
Java Quine McCluskey (JQM) implements the Quine-McCluskey algorithm with Petrick’s Method for minimizing Boolean functions. Designed for both education and industrial application, it handles up to 16 variables and functions. Uniquely, JQM bridges the gap between theory and practice: it visualizes the solution process with generated Karnaugh Maps for students, while supporting PLC engineers by exporting results to Structured Text (ST) and Ladder Diagram (LD). The software includes a GUI for... -
14
CS Notes
Essential knowledge for technical interviews, Leetcode, and OS
CS-Notes is a comprehensive, community-driven collection of study materials and technical notes for computer science students and professionals. Created by CyC2018, the repository consolidates essential computer science topics, algorithm solutions, and interview preparation materials in one well-organized resource. It covers a broad range of subjects, including data structures, algorithms, operating systems, networks, databases, and Java development. The repository also includes sections on system design, distributed systems, caching, and message queues, providing practical knowledge relevant to software engineering interviews and real-world applications. ... -
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DeepMind Educational Resources
DeepMind's repo of educational notebooks for learning AI and research
Educational is an open collection of interactive tutorials created by Google DeepMind to make the fundamentals of machine learning and artificial intelligence accessible to learners of all backgrounds. The repository provides hands-on, beginner-friendly resources that introduce essential AI concepts through Google Colab notebooks, combining intuitive explanations with executable code. The tutorials cover a broad range of topics—from foundational Python programming and data handling to supervised, unsupervised, and reinforcement learning, as well as graph neural networks and scientific reasoning. Specialized notebooks also explore creative AI applications, language modeling, generative models, and protein folding. ... -
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Digitization Metadata Editor is a Content Management System for Digital Libraries. It's a complex web-based system supporting all essential steps in the development of the digital library.
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30 Days of Elixir
A walk through the Elixir language in 30 exercises
...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 language. The content covers essential topics such as pattern matching, recursion, data structures, processes, and message passing—core principles that define Elixir’s design. This incremental learning format allows developers to build confidence and understanding while maintaining consistent progress. As one of the early and influential resources in the Elixir community, 30-days-of-elixir remains a valuable guide for self-learners and newcomers to the functional programming paradigm. -
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Data Structures and Algorithms in JS
Data Structures and Algorithms explained and implemented in JavaScript
...You will be able to solve problems faster in your day-to-day work and ace technical job interviews. Simply put, algorithms are several steps to solve a specific problem (e.g., sort number, search value, transform data, etc.). Algorithms are an essential toolbox for every programmer. Even if you don't realize it, you use them every day. They are built-in in apps, programming languages, and libraries. However, to make use of them properly, you have to know the tradeoffs so you can choose the best tool for the job. Improve your problem-solving skills and become a stronger developer by understanding fundamental computer science concepts. -
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Deep Learning 500 Questions
500 Questions on Deep Learning using a question-and-answer format
...Edited by Tan Jiyong with contributions from Guo Zizhao, Li Jian, and Dian Songyi, the book systematically covers both theoretical foundations and practical applications of deep learning. The first sections focus on essential mathematics, machine learning basics, and deep learning foundations, establishing the groundwork for more advanced topics. Later chapters explore classic neural network structures such as CNNs, RNNs, and GANs, as well as key applications in computer vision like object detection and image segmentation. The resource also delves into optimization methods, including transfer learning, network architecture design, hyperparameter tuning, model compression, and acceleration techniques. -
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Statistics for Data Scientists
"Statistics for Data Scientists: 50 Essential Concepts"
The “statistics-for-data-scientists” repository is a pedagogical resource designed to bridge rigorous statistics theory and practical data science workflows. The code and materials are intended to help data scientists and analysts grasp statistical principles (e.g. inference, regressions, hypothesis testing, probability, confidence intervals) in contexts relevant to real data analysis tasks. The repository includes Jupyter notebooks, R scripts, worked examples, and possibly problem sets that... -
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ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design
...It organizes patterns into categories such as data representation, problem framing, and model training, helping practitioners understand how to structure ML pipelines effectively. The repository includes implementations of techniques like feature hashing, embeddings, feature crosses, and multimodal inputs, which are essential for handling diverse data types. It also covers strategies for improving model performance and robustness, including transfer learning, checkpointing, ensemble methods, and rebalancing techniques for imbalanced datasets. By focusing on design patterns rather than isolated algorithms, the project helps developers build scalable, maintainable, and production-ready ML systems. -
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Tensorflow 2017 Tutorials
Tensorflow tutorial from basic to hard
Tensorflow 2017 Tutorials is a structured set of tutorials that introduce developers to TensorFlow, starting with basic neural network constructs and progressing to sophisticated model architectures and training techniques. This repository covers essential building blocks like sessions (for older TF versions), placeholders, variables, activation functions, and optimizers, before guiding learners through building end-to-end models for regression, classification, and data pipelines. Beyond the basics, the project includes examples of convolutional neural networks, recurrent networks, autoencoders, reinforcement learning, generative adversarial networks, and transfer learning workflows. ... -
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A Whirlwind Tour of Python
The Jupyter Notebooks behind my OReilly report
A Whirlwind Tour of Python is a concise but fast-paced introduction to core Python concepts, created by Jake VanderPlas as a companion to his work in scientific computing and data science. It consists of a series of Jupyter notebooks that walk through syntax, semantics, control flow, data structures, functions, errors, iterators, list comprehensions, generators, modules, strings, regular expressions, and a short preview of data science tools. The material is aimed at people who already know... -
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...These simulations give impressive results and accuracy, showing us what the experimental results will actually look like. We believe that a similar approach, in which the studied phenomena is simplified down to its essential core and then modelled on a computer, can be very useful in education. Alongside this, presenting also a graphical representation of the phenomena to the students, they gain a better intuitive understanding of the science that is hidden at the first glance in the usual representation of data - the abstracted plots. In this paper, we present EduKit a software environment based on ROOT framework intended for helping the students learn about the interested nuclear phenomena in a dynamical and graphical interaction. ...
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Data Science Specialization
Course materials for the Data Science Specialization on Coursera
...The repository is designed as a shared space for code examples, datasets, and instructional materials, helping learners follow along with lectures and assignments. It spans essential topics such as R programming, data cleaning, exploratory data analysis, statistical inference, regression models, machine learning, and practical data science projects. By providing centralized resources, the repo makes it easier for students to practice concepts and replicate examples from the curriculum. It also offers a structured view of how multiple disciplines—programming, statistics, and applied data analysis—come together in a professional workflow.
