Python-for-Statisticians-and-Economists

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Python-for-Statisticians-and-Economists

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Feng Li's Python Course for Statisticians and Economists

Python-for-Statisticians-and-Economists 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Python for Statisticians and Economists

Graduate level course of Python programming and data mining for statisticians and economists.

- [Course Homepage](https://feng.li/python)

## Prerequisites

- Basic knowledge of statistics
- Basic knowledge of programming

## Literature

- Wes McKinney (2012), Python for Data Analysis, O’Reilly Media
- Joel Grus (2015), Data Science from Scratch: First Principles with Python, O’Reilly Media
- Ryan Mitchell (2015), Web Scraping with Python, O’Reilly Media
- Lecture notes

## Lecture notes (in Jupyter notebook format)

#### Quick View

- Jupyter Notebook

You could view all the notebooks in this repository via the [Jupyter Notebook Viewer](https://nbviewer.jupyter.org/github/feng-li/Python-for-Statisticians-and-Economists)

- HTML slides

`Reveal.js` rendered slides are available at the author's [Python course homepage](https://feng.li/teaching/python/#i-5).

#### Run the demo locally
Requirements to run the notebook interactively

- Python (>= 3.6.0)
    - `numpy`, `scipy`, `pandas`, `scikit-learn`

- Jupyter Notebook (>= 5.0)

- [RISE](https://github.com/damianavila/RISE) (for Jupyter slides)

Use `Alt+R` to enter slideshow mode

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