📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
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- algorithms
- algorithm
- javascript-algorithms
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📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Translated:books: Essential foundational knowledge for technical interviews, Leetcode, computer operating systems, computer networks, system design
Clean Code concepts adapted for JavaScript
TranslatedDeep Learning 500 Questions: in question-and-answer form, it covers hot topics in commonly used probability, linear algebra, machine learning, deep learning, computer vision and more, to help myself and readers who need it. The book is divided into 18 chapters and has more than 500,000 characters. Due to limited ability, readers are kindly asked to criticize and correct any improper parts of the book. To be continued............ If you are interested in cooperating, contact [email protected]. All rights reserved, infringement will be prosecuted. Tan 2018.06
TranslatedLeetCode Solutions: A Record of My Problem Solving Journey. (LeetCode solutions, recording my own journey of solving LeetCode problems.)
⭐️ Companies that don't have a broken hiring process
30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!
Source for remoteintech.company — a community-maintained directory of remote-friendly tech companies
Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.
Roadmap to becoming an Artificial Intelligence Expert in 2022
:snowman: Possibly the smallest compiler ever
30 Days of React challenge is a step by step guide to learn React in 30 days. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (August 2025)
Most commonly used git tips and tricks.
Roadmap to becoming a React developer
Starter files, final projects, and FAQ for my Complete JavaScript course
:books: Find your next book to read!
Comprehensive roadmap for aspiring Embedded Systems Engineers, featuring a curated list of learning resources
Code for the book Grokking Algorithms (https://www.amazon.com/dp/1633438538)
Community curated list of templates for the nuclei engine to find security vulnerabilities.
Welcome to the page where you will find each trick/technique/whatever I have learnt in CTFs, real life apps, and reading researches and news.
TranslatedCrash Course Computer Science (5,090,000 views) (40 episodes in total, each 10 minutes) Translation completed in 2018. The comment section has a lot of praise
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.