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Showing 195 open source projects for "thinking"
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Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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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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Re-learning Java Design Patterns
Design-pattern learning project based on "Relearning Java Design"
...Its goal is to show how design patterns solve concrete engineering problems rather than simply naming pattern structures. The project is useful for Java developers who want to improve architecture thinking, code extensibility, and implementation discipline. It also serves as a companion codebase for readers who want to study each pattern through runnable Java examples. -
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Yangshun Lago
Data Structures and Algorithms library in TypeScript and JavaScript
...Instead of aiming to be a production runtime, it serves as a reference you can step through to understand how arrays, stacks, queues, linked lists, trees, heaps, graphs, and sorting/searching routines actually work. The implementations favor clarity over micro-optimizations, making them approachable for learners who are new to algorithmic thinking or coming from non-CS backgrounds. Because the code is idiomatic JavaScript, it also helps front-end engineers strengthen fundamentals without switching languages. The repository’s structure lets you browse topic by topic and compare trade-offs such as time versus space complexity. It’s a handy companion to interview prep lists: after reading a concept, you can open the matching Lago implementation and trace it line by line. -
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Think Python 2
LaTeX source and supporting code for Think Python, 2nd edition
...The repository contains clean, well-commented Python scripts that are easy to follow and map directly to chapters of the text, covering topics like variables, control flow, functions, recursion, data structures (lists, dictionaries), classes and objects, file I/O, and algorithmic thinking. It also contains solutions or hints for many exercises so learners can check their work or explore alternative implementations. Because it’s educational, the repository emphasizes readability, clarity, and progressive learning rather than performance tuning or advanced constructs. -
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opc-methodology
The second edition of "One-person Enterprise Methodology"
...It is particularly useful for building consistent workflows in areas such as content generation, automation, and decision support. The framework promotes modular thinking, allowing users to reuse and refine components across different tasks. It also encourages iterative refinement, helping users improve prompt performance through systematic adjustments. Overall, OPC Methodology provides a practical approach to prompt engineering that prioritizes clarity, structure, and repeatability. -
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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dive-to-gosync-workshop
In-depth Go concurrent programming seminar
...It covers the implementation details, limitations, misuse patterns, and extension ideas behind standard synchronization tools. The workshop also expands into atomic operations, lock-free thinking, distributed synchronization, channel patterns, and the Go memory model. It is best understood as a training syllabus for developers who want deeper concurrency judgment, not just surface-level goroutine examples. -
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One Person Businesses Methodology v2.0
Book to build a one-person enterprise
This repository lays out a structured methodology for designing, launching, and operating a business solo—without co-founders or large teams. It includes frameworks for product validation, monetization paths, and minimal viable operations that emphasize leverage (automation, outsourcing, digital products). Each section provides checklists, decision criteria, and heuristics rather than rigid templates, recognizing the flexibility each individual needs. Because many solo ventures begin without... -
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Matrix ChatGPT Bot
Talk to ChatGPT via any Matrix client
Matrix ChatGPT Bot allows you to talk to ChatGPT via any Matrix client. OpenAI released the official API for ChatGPT. Thus, we no longer have to use any older models or any models which kept on being turned off by OpenAI. This means the bot is now way more stable and way faster. However, please note: The usage of the API is no longer free. If you use this bot, your OpenAI account will be charged! You might want to limit your budget in your account using the OpenAI website. You need to remove... -
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Feishu ChatGPT
Voice dialogue, role-playing, multi-topic discussion, picture creation
...Familiar with the SDKs of DingTalk, Feishu, Qiwei and other platforms, and be able to develop and integrate a series of amazing functions! Proficient in platform-based detail thinking, let the efficient server-side hot update script you develop amaze the audience! Easily control Docker containerization technology and deploy code as you like! With some experience in payment function development, it really makes money fly! Understand some Linux scripting and socket programming. -
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AgentGPT
🤖 Assemble, configure & deploy autonomous AI Agents in your browser
.... 🤖 AgentGPT allows you to configure and deploy Autonomous AI agents. Name your own custom AI and have it embark on any goal imaginable. It will attempt to reach the goal by thinking of tasks to do, executing them, and learning from the results 🚀. By sponsoring this free, open-source project, you not only have the opportunity to have your avatar/logo featured below, but also get the exclusive chance to chat with the founders!🗣️ 👉 Click here to support the project: https://github.com/sponsors/reworkd-admin -
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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javascript-algorithms
JavaScript implementations of computer science algorithms
...Because algorithms are implemented in a language (JavaScript) many developers use daily, the repo becomes especially useful for students, interview-preparation candidates, or anyone wanting to learn algorithmic thinking without switching languages. The code tends to be readable, structured, and adapted to JavaScript idioms, making it easier to follow for JS developers. -
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Recently, I discovered the power of Bing Image Creator, a generative AI based on the DALL-E 3 text-to-image model. At first, I was just playing with it and testing its capabilities. However, after exploring it for roughly an hour, I started thinking about its practical applications and where I could use it. Eventually, I realized that I could use it to generate unique images and then display them on the 2.4 Inch TFT LCD with ILI9341 connected to the Raspberry Pi Pico. If you wish to learn how to do the same, follow along with this tutorial: https://www.instructables.com/Miniature-Digital-Photo-Frame-With-AI-generated-Im/
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The Algorithms - C #
Collection of various algorithms in mathematics, machine learning
...Each algorithm implementation is written to be readable and well documented so that students and developers can understand how the algorithm works internally. The repository is designed primarily as an educational resource that helps programmers study algorithm design and computational thinking. Contributors from around the world continually add new implementations and improvements, making the repository a collaborative learning project. -
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DDDplus
A lightweight flexible development framework
DDDplus, originally cp-ddd-framework(cp means Central Platform, lightweight flexible development framework for complex business architecture. A set of lightweight business mid-stage development framework, based on DDD thinking, is committed to the precipitation and inheritance of business assets, comprehensively solves the expansion problem of complex business scenarios, realizes the core elements of mid-stage, and empowers mid-stage construction. Integrating the complex ecological collaboration methodology of the front-end, and middle-end, and fully considering the organizational structure, technical debt, learning threshold, evolution, operation and maintenance costs and risks, it is developed to solve the pain points of business development. ... -
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Create Go App CLI
Create a new production-ready project with backend, and frontend
Create a new production-ready project with backend, frontend and deploy automation by running one CLI command! Focus on writing code and thinking of business-logic! The CLI will take care of the rest. Next, open the generated Ansible inventory file (called hosts.ini) and fill in the variables according to your server configuration. And you're ready to automatically deploy this project. If you don't want to install Create Go App CLI to your system, you feel free to using our official Docker image and run CLI from isolated container. ... -
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Cross Platform Node Guide
Improve front-end engineer workflow & standard, powered by TypeScript
...At present, it has been used in many applications, such as Now, Huayang Live, Huayang Friends, Mobile QQ Near Hand, Group Video, Group Gift, Huiyin, Tencent Myapp, Penguins and etc. With 80+ WEB/IOS/Andriod stable users, the cumulative production project reached 240+. Feflow refers to the thinking of Pipeline and divides work into five steps: init, develop, build, test, deploy. And corresponding to five basic commands: init, dev, build, test, and deploy. In addition to serving basic development workflows and specifications, Feflow provides an easy-to-expand plug-in mechanism for creating a team-wide toolchain ecosystem. Feflow only provides a CLI and kernel. ... -
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ThinkJulia.jl
Port of the book Think Python to the Julia programming language
ThinkJulia.jl is an open source educational project that adapts Think Python by Allen B. Downey into the Julia programming language, with contributions by Ben Lauwens. It provides a comprehensive introduction to programming and computational thinking using Julia’s modern, high-performance features. The book is structured to gradually teach core concepts such as variables, control flow, functions, recursion, object-oriented programming, and data structures, while offering hands-on exercises to reinforce each topic. By combining clear explanations with practical examples, the project helps both beginners and experienced programmers transition to Julia. ... -
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Front-end development blog
Front-end Development Thoughts
Front-end development blog is a front-end development article repository focused on JavaScript, ES6, React, Redux, and related web engineering topics. It works as a curated index of essays rather than a traditional software package. The repository collects technical thinking on subjects such as AI in development, VS Code history, React Conf, JavaScript number behavior, server-side versus client-side rendering, and React best practices. It also includes articles about CSS Modules, Immutable data patterns, replacing jQuery with native JavaScript, Fetch, Flux, Relay, and Redux. The project is useful for developers who want opinionated front-end learning material in one place. ... -
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The Art of Programming
A collection of practical tips can be found at the bottom of this page
The Art of Programming (Second Edition) is a curated collection of programming problems and solutions originally derived from the Microsoft 100 Interview Questions blog series, later refined into a long-running tutorial and ultimately a published book. Created by July, the series began in 2010 and has since evolved into an in-depth exploration of algorithmic thinking, data structures, and coding interview preparation. The repository brings together 42 classic programming problems from the original series, enhanced with detailed explanations, formula derivations, and optimized solutions. In July 2023, work on the second edition was announced, which expands the project with updated content, new problems inspired by recent big-tech interviews, and introductions to modern machine learning techniques such as XGBoost, CNNs, RNNs, and LSTMs. ... -
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Resources for Competitive Programming
Competitive Programming & System Design Resources
...It gathers video tutorials, practice platforms, algorithm references, interview preparation links, and system design materials in one place. The repository is not a software library but a structured learning hub for people who want to improve algorithmic thinking and technical interview readiness. It points users toward platforms such as Codeforces, CodeChef, LeetCode, AtCoder, TopCoder, SPOJ, HackerRank, and Project Euler. It also lists books, roadmaps, blogs, and mock interview resources for deeper study. The project is useful for beginners who need direction and for experienced learners who want a consolidated reference list. -
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System Design Notebook
Learn System Design step by step
System Design Notebook is a structured, personal knowledge base for learning and practicing system design, written in a way that mirrors real interview and on-the-job thinking. Instead of being a single long article, it’s split into topics like scalability, load balancing, data partitioning, caching, availability, consistency, and communication patterns, so you can study them in isolation. It emphasizes reasoning: why you pick a certain database, why you shard, why you put a queue, and what trade-offs come with each choice. ... -
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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... -
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RxSwift Chinese Documentation
RxSwift Chinese Documentation
...Although this document is mainly about RxSwift , developers using other reactive frameworks can also benefit from it, such as: ReactiveCocoa , RxJava , RxJS , etc. Because these frameworks have some commonalities, such as: the responsive way of thinking, the function and usage of operators, etc. These content documents are described in it. Since this is the first time the author has published a document, please forgive me if there are any problems with the document. You can provide feedback to the author through the methods provided on the 10. About this document page. You are also very welcome to send merge requests. -
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Functional-Light JavaScript
Pragmatic, balanced FP in JavaScript
Functional-Light JavaScript is an online book that teaches functional programming principles through a pragmatic JavaScript lens. Instead of insisting on strict purity, it adopts a balanced approach that keeps code practical while showing how immutability, composition, and declarative thinking improve quality. Chapters build up from values and closures to higher-order functions, list operations, transducing, and async patterns, all grounded in idiomatic JS. 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. ... -
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codeforces-go
Solutions to Codeforces by Go
...Reference links or book chapters (good material) Template code (can contain some comments, usage instructions) Template supplements (extra codes in common question types, modeling tips, etc.) Related topic links (template questions, classic questions, thinking conversion questions, etc.) The main goal of this stage is to improve the ability to observe problems. Doing construction questions can train this point in a targeted manner. Choose the structural questions (tag: constructive algorithms) whose difficulty ranges from your own rating to rating+200, and do the questions in descending order according to the number of people who have passed the questions. -
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igel
Machine learning tool that allows you to train and test models
...I sometimes needed a tool sometimes, which I could use to fast create a machine learning prototype. Whether to build some proof of concept, create a fast draft model to prove a point or use auto ML. I find myself often stuck writing boilerplate code and thinking too much about where to start. Therefore, I decided to create this tool. igel is built on top of other ML frameworks. It provides a simple way to use machine learning without writing a single line of code. Igel is highly customizable, but only if you want to. Igel does not force you to customize anything. Besides default values, igel can use auto-ml features to figure out a model that can work great with your data.
