# pydata-book **Repository Path**: popyeah/pydata-book ## Basic Information - **Project Name**: pydata-book - **Description**: No description available - **Primary Language**: Python - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 9 - **Forks**: 2 - **Created**: 2017-03-12 - **Last Updated**: 2021-09-13 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # pydata-book Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media ## IPython Notebooks: * [Chapter 2: Introductory Examples](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch02.ipynb) * [Chapter 4: NumPy Basics](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch04.ipynb) * [Chapter 5: Getting Started with Pandas](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch05.ipynb) * [Chapter 6: Data Loading, Storage, and File Formats](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch06.ipynb) * [Chapter 7: Data Wrangling: Clean, Transform, Merge, Reshape](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch07.ipynb) * [Chapter 8: Plotting and Visualization](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch08.ipynb) * [Chapter 9: Data Aggregation and Group Operations](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch09.ipynb) * [Chapter 10: Time Series](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch10.ipynb) * [Chapter 11: Financial and Economic Data Applications](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch11.ipynb) * [Chapter 12: Advanced NumPy](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/ch12.ipynb) * [Python Appendix](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/appendix_python.ipynb) * [2012 Federal Election Commission Database](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/master/fec_study.ipynb)