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:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
collection of resources, materials on learning and work
Fast, unopinionated, minimalist web framework for node.
My hexo blog
allocate hexo visitors' comments data
Apache Superset is a Data Visualization and Data Exploration Platform
List of 1000 JavaScript Interview Questions
全栈工程师培训材料
📚 A public list of APIs from round the web.
Working with sophisticated API tools to make concurrency with processes. Multiprocessing and threading to bust application performance by using python and its libraries.
Working with cryptography and security algorithms, message signing and verification by using python and its libraries.
Working with IMAP, POP3 and SMTP protocal and service to build email exchange server by using python and its libraries.
Working with files on the file system, building and parsing filenames, and examining file contents against various OS platform by using python and its libraries
Working with RDBMS and pandas data frame to manipulate and wrangling huge amount of data and design robust ETL process by using python and its libraries.
Working with HTTP GET, POST, PUT, DELET, PATCH requests from web portals and get, customize data from mainstream RESTful API remote servers cross internet by using python and its libraries.
Working with programming to interact with the system interpreter or environment in which it runs, like OS and system configuration setting, performance tunning, I/O streams process, CLI auguments, exception handling, runtime control-flow tracing by using python and its libraries.flow tracing
Working with extracting large amounts of data from wesites which no longer provide API whereby the data is saved to either local file system or RDBMS by using python and its libraries.
Python data science and machine learning
Apache spark on scala and python pyspark with big data
general python project for all aspects
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
编程之路
The initial respository mainly for testing functions
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.