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Updated with books

tutorial
tommyod 2017-12-30 18:48:53 +01:00
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@ -4,8 +4,8 @@ A collection of resources for [pandas](http://pandas.pydata.org/)
**Contents:** This page is divided into three parts. **Contents:** This page is divided into three parts.
* (1) **pandas resources** - A collection of videos, cheat-sheets, tutorials and books related directly to pandas. 1. **pandas resources** - A collection of videos, cheat-sheets, tutorials and books related directly to pandas.
* (2) **Data analysis with Python resources** - Material related to adjacent 2. **Data analysis with Python resources** - Material related to adjacent
Python libraries and software such as Python libraries and software such as
[NumPy](http://www.numpy.org/), [NumPy](http://www.numpy.org/),
[scipy](https://www.scipy.org/), [scipy](https://www.scipy.org/),
@ -13,7 +13,7 @@ A collection of resources for [pandas](http://pandas.pydata.org/)
[seaborn](https://seaborn.pydata.org/), [seaborn](https://seaborn.pydata.org/),
[statsmodels](http://www.statsmodels.org/stable/) and [statsmodels](http://www.statsmodels.org/stable/) and
[Jupyter](http://jupyter.org/). [Jupyter](http://jupyter.org/).
* (3) **Miscellaneous related resources** - Resources related to general data 3. **Miscellaneous related resources** - Resources related to general data
analysis, algorithms, computer science, machine learning, statistics, etc. analysis, algorithms, computer science, machine learning, statistics, etc.
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@ -48,11 +48,10 @@ quantified roughly as follows:
### (1.2) :exclamation: Cheat-sheets ### (1.2) :exclamation: Cheat-sheets
* https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf * [Data Wrangling with pandas](https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf)
* https://s3.amazonaws.com/quandl-static-content/Documents/Quandl+-+Pandas,+SciPy,+NumPy+Cheat+Sheet.pdf * [The pandas DataFrame Object](http://www.webpages.uidaho.edu/~stevel/504/Pandas%20DataFrame%20Notes.pdf)
* http://www.webpages.uidaho.edu/~stevel/504/Pandas%20DataFrame%20Notes.pdf * [Python For Data Science - pandas Basics](https://assets.datacamp.com/blog_assets/PandasPythonForDataScience.pdf)
* https://assets.datacamp.com/blog_assets/PandasPythonForDataScience.pdf * [Python For Data Science - pandas](https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Pandas_Cheat_Sheet_2.pdf)
* https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Pandas_Cheat_Sheet_2.pdf
### (1.3) :mortar_board: Tutorials ### (1.3) :mortar_board: Tutorials
* https://github.com/jorisvandenbossche/pandas-tutorial * https://github.com/jorisvandenbossche/pandas-tutorial
@ -69,6 +68,9 @@ quantified roughly as follows:
### (1.4) :blue_book: Books / papers ### (1.4) :blue_book: Books / papers
* [[amazon](https://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1491957662/)] McKinney, Wes. *Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython*. 2 edition. Beijing: O’Reilly Media, 2017.
* [[amazon](https://www.amazon.com/Python-Data-Science-Handbook-Essential/dp/1491912057/)] VanderPlas, Jake. *Python Data Science Handbook: Essential Tools for Working with Data*. 1 edition. Sebastopol, CA: O’Reilly Media, 2016.
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## (2) Data analysis with Python resources ## (2) Data analysis with Python resources
@ -120,6 +122,8 @@ quantified roughly as follows:
### (2.4) :blue_book: Books / papers ### (2.4) :blue_book: Books / papers
* [[amazon](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1491962291/)] Géron, Aurélien. *Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems*. 1 edition. O’Reilly Media, 2017.
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## (3) Miscellaneous related resources ## (3) Miscellaneous related resources