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awesome-python

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

awesome-python-in-education

A curated list about Python in Education :snake: :mortar_board:

book3_elements-of-mathematics

Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；本册有，583幅图，136个代码文件，其中24个Streamlit App；状态：清华社五审五校中；Github稿件基本稳定，欢迎提意见，会及时修改

book4_power-of-matrix

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；本册有，584幅图，81个代码文件，其中18个Streamlit App；状态：清华社五审五校中；Github稿件基本稳定，欢迎提意见，会及时修改

causal-inference-using-quasi-experimental-methods

Causal Inference Using Quasi-Experimental Designs

causalimpact

An R package for causal inference in time series

causalinference

《基本有用的计量经济学》（MUSE）

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

cheatsheets

RStudio Cheat Sheets

chinese-std-gb-t-7714-related-csl

GB/T 7714相关的csl以及Zotero使用技巧及教程。

covid-19-and-aqi-in-china

论文代码

critical-examination-of-a-regression-discontinuity

data-science-notes

数据科学的笔记以及资料搜集

did

Keeping track of what is going on with the latest DiD innovations.

did_imputation

Event studies: robust and efficient estimation, testing, and plotting

drdid

Doubly Robust Difference-in-Differences Estimators

econ5170

Econ5170@CUHK: Computational Methods in Economics (2020 Spring).

econometrics

Econometrics lecture notes with examples using the Julia language

econometricscode

Stata and other codes for econometrics course.

econometricscode-1

Codes for Econometrics course

forcast

项目评估——本科

glmm-course

Workshop exercises on regression, GLMs, mixed-effects models, and GLMMs in R

go-study-index

Go 语言学习资料索引

gsynth

Generalized Synthetic Control Method

honestdid

Robust inference in difference-in-differences and event study designs

hugo-theme-even

🚀 A super concise theme for Hugo https://hugo-theme-even.netlify.app

introduction_to_python

Introduction to Python course

introduction_to_statistical_learning_summary_python

Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.

intror

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