Think Stats, 2nd Edition Exploratory Data Analysis By Allen B. Downey; O'Reilly Media

Lots of Python with data analysis books. This might be a good one that is able to help readers perform statistical analysis with programs written in Python. Think Stats, 2nd Edition Exploratory Data Analysis by Allen B. Downey(@allendowney).
This second edition of Think Stats includes the chapters from the first edition, many of them substantially revised, and new chapters on regression, time series analysis, survival analysis, and analytic methods. Additional, It uses uses pandas, SciPy, or StatsModels in Python. Author developed this book using Anaconda from Continuum Analytics. Readers should use it, that will easy from them. Anyway, I tested on Ubuntu and installed pandas, NumPy, SciPy, StatsModels, and matplotlib packages. This book has 14 chapters relate with processes that author works with a dataset. It's for intermediate reader. So, Readers should know how to program (In a book uses Python), and skill in mathematical + statistical.
Each chapter includes exercises that readers can practice and get more understood. Free Sampler

• Develop an understanding of probability and statistics by writing and testing code.
• Run experiments to test statistical behavior, such as generating samples from several distributions.
• Use simulations to understand concepts that are hard to grasp mathematically.
• Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools.
• Use statistical inference to answer questions about real-world data.

surachart@surachart:~/ThinkStats2/code$ pwd
/home/surachart/ThinkStats2/code
surachart@surachart:~/ThinkStats2/code$ ipython notebook  --ip=0.0.0.0 --pylab=inline &
[1] 11324
surachart@surachart:~/ThinkStats2/code$ 2014-11-17 19:39:43.201 [NotebookApp] Using existing profile dir: u'/home/surachart/.config/ipython/profile_default'
2014-11-17 19:39:43.210 [NotebookApp] Using system MathJax
2014-11-17 19:39:43.234 [NotebookApp] Serving notebooks from local directory: /home/surachart/ThinkStats2/code
2014-11-17 19:39:43.235 [NotebookApp] The IPython Notebook is running at: http://0.0.0.0:8888/
2014-11-17 19:39:43.236 [NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
2014-11-17 19:39:43.236 [NotebookApp] WARNING | No web browser found: could not locate runnable browser.
2014-11-17 19:39:56.120 [NotebookApp] Connecting to: tcp://127.0.0.1:38872
2014-11-17 19:39:56.127 [NotebookApp] Kernel started: f24554a8-539f-426e-9010-cb3aa3386613
2014-11-17 19:39:56.506 [NotebookApp] Connecting to: tcp://127.0.0.1:43369
2014-11-17 19:39:56.512 [NotebookApp] Connecting to: tcp://127.0.0.1:33239
2014-11-17 19:39:56.516 [NotebookApp] Connecting to: tcp://127.0.0.1:54395

Book: Think Stats, 2nd Edition Exploratory Data Analysis
Author: Allen B. Downey(@allendowney)