sewardlee337

sewardlee337's Stars

• DopplerHQ/awesome-interview-questions

  :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

  72.2k1.7k628.9k

• firstcontributions/first-contributions

  🚀✨ Help beginners to contribute to open source projects

  46.1k50681481.3k

• dwmkerr/hacker-laws

  💻📖 Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws

  Language:Shell25.9k4382051.5k

• monicahq/monica

  Personal CRM. Remember everything about your friends, family and business relationships.

  Language:PHP21.9k2842k2.2k

• wenyan-lang/wenyan

  文言文編程語言 A programming language for the ancient Chinese.

  Language:TypeScript19.8k2494981.1k

• iggredible/Learn-Vim

  Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖

  13.9k196441.1k

• guipsamora/pandas_exercises

  Practice your pandas skills!

  Language:Jupyter Notebook11k313658.3k

• nasa/fprime

  F´ - A flight software and embedded systems framework

  Language:C++10.1k2611.1k1.3k

• freeCodeCamp/how-to-contribute-to-open-source

  A guide to contributing to open source

  Language:Ruby8.8k2162391.8k

• drivendataorg/cookiecutter-data-science

  A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

  Language:Python8.5k1231782.5k

• projectmesa/mesa

  Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

  Language:Python2.7k98835919

• ajcr/100-pandas-puzzles

  100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

  Language:Jupyter Notebook2.6k77143.1k

• edtechre/pybroker

  Algorithmic Trading in Python with Machine Learning

  Language:Python2.1k3496275

• JifuZhao/DS-Take-Home

  My solution to the book A Collection of Data Science Take-Home Challenges

  Language:Jupyter Notebook1.7k391860

• devinpleuler/analytics-handbook

  Getting started with soccer analytics

  Language:Jupyter Notebook1.5k1054207

• alicezheng/feature-engineering-book

  Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

  Language:Jupyter Notebook1.4k6014674

• XD-DENG/SQL-exercise

  Practice with "Real" SQL Problems

  1.4k899575

• firmai/business-machine-learning

  A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

  Language:Jupyter Notebook774550226

• matiasmascioto/awesome-soccer-analytics

  :soccer::chart_with_upwards_trend: A curated list of awesome resources related to Soccer Analytics.

  52930070

• learn-anything/blogs

  Awesome Blogs

  52823254

• DP6/Marketing-Attribution-Models

  Python Class created to address problems regarding Digital Marketing Attribution.

  Language:Python315352782

• JoGall/soccermatics

  Tools for visualisation and analysis of soccer tracking and event data

  Language:R314302635

• PacktPublishing/Hands-On-Data-Science-for-Marketing

  Hands-On Data Science for Marketing, published by Packt

  Language:Jupyter Notebook237142165

• curran/dataviz-course-2018

  Online course on data visualization analysis, design & construction with D3.js.

  Language:HTML22624852

• bootandy/window_funcs

  A Rust web app to teach SQL window functions

  Language:Rust1338915

• imyoungyang/myAWSStudyBlog

  AWS Study Blog

  Language:Jupyter Notebook8711243

• YC-Coder-Chen/leetCode-SQL

  Answers for all 153 database questions on LeetCode [Update on 2021/04/03]

  Language:Python524127

• frieds/msis_2629_exercises

  Exercises of data analysis and visualizations for summer class of MSIS 2929 at Santa Clara University

  Language:Jupyter Notebook213012

• b11z/pydata-la-18-clv

  Customer Lifetime Value talk material from PyData LA 2018.

  12101

• zpbappi/zpbappi.github.io

  Personal website hosted in github.

  Language:HTML73173