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awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-linux-software-zh_cn

🐧 一个 Linux 上超赞的应用，软件，工具以及其它资源的集中地。

awesome-linux-zh

🐧 适用于 Linux 下的应用程序，软件，工具和其他材料

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

canal-client

spring boot canal starter 易用的canal 客户端 canal client

chromeappheroes

🌈谷粒-Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~

computer-networking-a-top-down-approach-notes

计算机网络－自顶向下方法(原书第6版)》编程作业的解答，Wireshark实验官方文档的翻译。

computernetworkexperiment

ComputerNetworkExperiment

datastructuresandalgorithmsanalysisinjava

design-patterns-learning-code

demonstration examples for design patterns

dyproxy

一个基于socks5的简单代理服务器python3实现

expertpythonprogramming

python book written by Michal Jaworski,‎ Tarek Ziade

fluentpython

python book written by Luciano Ramalho

git-cheat-sheet

Git Cheat Sheet中文版, translated by Gevin (flyhigher139)

git-recipes

:octocat: Git recipes in Chinese. 高质量的Git中文教程.

git_command

Individual collecting material of learning git

gitignore

A collection of useful .gitignore templates

go-study-index

Go 语言学习资料索引

information_value

initscripts

User-contributed OS init scripts for Supervisor

intellij-idea-tutorial

🌻 This is a tutorial of IntelliJ IDEA, you can know how to use IntelliJ IDEA better and better.

interpreting-decision-trees-and-random-forests

Unwrapping decision trees and random forests to make them less of a black box

java-learning-code

javascript-thedefinitiveguide

JavaScript-TheDefinitiveGuide

jvm

🤗 JVM 底层原理最全知识总结

learning-spark

Example code from Learning Spark book

lua-learning-code

lua learning code

machine-learning-coursera

This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.

machinelearningfromcoursera

Machine Learning taught by Andrew Ng

machinelearningwithpyspark

5 experiment from book:Machine Learning with Spark