Introduction_to_Pandas

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Introduction_to_Pandas

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Introduction to Pandas - using IPython notebook. / Pandas 入門介紹教學講義。

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# Pandas 入門介紹
Taichung.py  
2016/3/12  
Wei Lin  
[Wei1234c@gmail.com](mailto://wei1234c@gmail.com)

## Books:  
[Python for Data Analysis](http://www.books.com.tw/products/F012771443)  
<div><img src="http://pandas.pydata.org/_static/pydata_cover.jpg" alt="HTML5 Icon" style="width:180px;height:200px;float:left"></div>

## Videos:  
[Data analysis in Python with pandas - Wes McKinney (Pandas之父)](https://www.youtube.com/watch?v=w26x-z-BdWQ)  
[Analyzing data with Pandas - PyCon SE 2015](https://www.youtube.com/watch?v=kSM8S76qYz0)  
[Pandas From The Ground Up - PyCon 2015](https://www.youtube.com/watch?v=5JnMutdy6Fw) / [Brandon’s Pandas Tutorial](https://github.com/brandon-rhodes/pycon-pandas-tutorial)  
[Hands-on Data Analysis with Python - PyCon 2015](https://www.youtube.com/watch?v=L4Hbv4ugUWk&list=PLHJdMADCPuGQeXXvSJnXGNhvYoOwcXjUD&index=4)

## Documentation:
[pandas documentation — API Reference](http://pandas.pydata.org/pandas-docs/stable/api.html)

## About Me
- Wei Lin : [Wei1234c@gmail.com](mailto://Wei1234c@gmail.com)  
- A planner in private enterprises
- Started learning Python in 2015
- Interested in Data-Science and A.I.

## About this talk
1. [Pandas - main classes and structure](https://github.com/Wei1234c/Introduction_to_Pandas/blob/master/notebooks/1.%20Pandas%20-%20main%20classes%20and%20structure.ipynb)  
2. [Pandas - I/O tools](https://github.com/Wei1234c/Introduction_to_Pandas/blob/master/notebooks/2.%20Pandas%20-%20IO%20tools/2.%20Pandas%20-%20IO%20tools.ipynb)  
3. [Pandas - ETL tools](https://github.com/Wei1234c/Introduction_to_Pandas/blob/master/notebooks/3.%20Pandas%20-%20ETL%20tools.ipynb)  
4. [Pandas - plotting](https://github.com/Wei1234c/Introduction_to_Pandas/blob/master/notebooks/4.%20Pandas%20-%20plotting.ipynb)  
5. [Pandas - GroupBy](https://github.com/Wei1234c/Introduction_to_Pandas/blob/master/notebooks/5.%20Pandas%20-%20GroupBy.ipynb)

## Design of this talk
1. Theory and Practice
2. Learning a language
3. What if ...

Introduction_to_Pandas

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