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Sean L's Projects

90daysofcybersecurity icon 90daysofcybersecurity

This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md

ai-learning-roadmap icon ai-learning-roadmap

Ai Learning Roadmap based on lots of open course sources and book materials. 我总结的 AI 学习路径。

algorithm-pattern icon algorithm-pattern

算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~

algorithms icon algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

awesome-mac icon awesome-mac

 This repo is a collection of awesome Mac applications and tools for developers and designers.

bigdata-interview icon bigdata-interview

:dart: :star2:[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结

bitcoinbook icon bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

book icon book

A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.

business-machine-learning icon business-machine-learning

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Banking, Finance and Insurance, Customer, Employee, Legal, Management, Operations and Public matters.

code icon code

面试高频算法题总结,个人博客

cs109 icon cs109

Official content for Harvard CS109

cs_study_plan icon cs_study_plan

一份硬核(hardcore)计算机科学CS自学计划,偏向软件工程和系统架构方向

data-science-competitions icon data-science-competitions

Goal of this repo is to provide solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

data-science-interview-resources icon data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

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