TranslatedAn English learning guide written specifically for programmers, v1.2. For the online version, click ->
- english
- english-learning
Repository Index
47,133 repositories indexed
25–48 of 89 · Most stars
Translated7 days golang programs from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM, rpc framework GeeRPC etc) A series on writing/implementing things from scratch in 7 days with Go
- learning
- starter-project
- golang
- scratch
TranslatedSpring Boot practical learning examples, the best practice for Spring Boot beginners and for consolidating core technologies.
- springboot
- redis
- jpa
- elasticsearch
Translated"Spring Boot Basic Tutorial", the 2.x version is being published serially and is still ongoing! Click the link below to go straight to the tutorial table of contents!
- spring-boot
- spring-cloud
- spring-data-jpa
- dubbo
A FREE comprehensive reverse engineering tutorial covering x86, x64, 32-bit/64-bit ARM, 8-bit AVR and 32-bit RISC-V architectures.
Translatedflink learning blog. http://www.54tianzhisheng.cn/ Covers Flink introduction, concepts, principles, hands-on practice, performance tuning, source code analysis, and more. Includes learning examples involving Flink Connector, Metrics, Library, DataStream API, Table API & SQL, and also shares large-scale project cases of Flink in production (PV/UV, log storage, real-time deduplication of 10 billion records, monitoring and alerting). You are welcome to support my column 《大数据实时计算引擎 Flink 实战与性能优化》 ("Big Data Real-Time Computing Engine Flink: Hands-On Practice and Performance Optimization")
TranslatedWTF Solidity minimalist introductory tutorial, for beginners. Now supports English! Official website: https://wtf.academy
- airdrop
- auction
- blockchain
- dapp
A Compiler Writing Journey
Translatedmall learning tutorial, with a comprehensive analysis of the architecture, business logic, and key technical points. The mall project (60k+ stars) is an e-commerce system built with currently mainstream technologies. It covers technologies such as SpringBoot, MyBatis, Elasticsearch, RabbitMQ, Redis, MongoDB, and MySQL, and uses Docker containerized deployment.
- springboot
- mybatis
- elasticsearch
- rabbitmq
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
- pytorch
- pytorch-tutorials
- pytorch-tutorials-cn
- deep-learning
TranslatedChinese translation of wtfpython / ongoing 🚧... / My ability is limited, you are welcome to help me improve the translation
This is about useful JS tips!
- javascript
- javascript-tips
- jstips
- hacks
Translated:books: This repository is a summary of the technical learning journey of the author, Xiao Fuge (小傅哥), from many years of working in front-line internet Java development. It aims to give everyone a clear and detailed learning tutorial, with a focus on writing about core Java content. If this repository helps you, please show your support (follow, like, share)!
- java
- javafx
- spring
- mybaits
TranslatedPython open-source project "The Road to Self-Taught Programming", with step-by-step tutorials for beginners: AI Lab, treasure videos, data structures, study guides, hands-on machine learning, hands-on deep learning, web crawlers, big-company interview experiences, programmer life, resource sharing.
Good ideas for iOS development, by Futurice developers.
- best-practices
- swift
- objective-c
- ios
This guide details creating a secure Linux production system. OpenSCAP (C2S/CIS, STIG).
mal - Make a Lisp
TranslatedStarting from 0, master the basic process of doing research and writing papers.
- ai-research
- awesome
- awesome-list
- phd
This repository has examples of broken patterns in ASP.NET Core applications
Toturials coming with the "data science roadmap" picture.
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.
:computer: :mortar_board: Git-it is a (Mac, Win, Linux) Desktop App for Learning Git and GitHub
Full Stack Web Development with Flask.
:earth_americas: Simple and ready-to-use tutorials for TensorFlow