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Python Data Analysis

Python Data Analysis

By : Ivan Idris
3.9 (16)
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Python Data Analysis

Python Data Analysis

3.9 (16)
By: Ivan Idris

Overview of this book

This book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.
Table of Contents (22 chapters)
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Python Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Key Concepts
Online Resources
Index

Where to find help and references


The main documentation website for NumPy and SciPy is at http://docs.scipy.org/doc/. Through this web page, we can browse the NumPy reference guide at http://docs.scipy.org/doc/numpy/reference/ and the user guide as well as several tutorials.

The popular Stack Overflow software development forum has hundreds of questions tagged numpy. To view them, go to http://stackoverflow.com/questions/tagged/numpy.

This might be stating the obvious, but numpy can also be substituted with scipy, ipython, or almost anything of interest. If you are really stuck with a problem or you want to be kept informed of NumPy development, you can subscribe to the NumPy discussion mailing list. The e-mail address is . The number of e-mails per day is not too high, and there is almost no spam to speak of. Most importantly, developers actively involved with NumPy also answer questions asked on the discussion group. The complete list can be found at http://www.scipy.org/Mailing_Lists.

For IRC users, there is an IRC channel on irc://irc.freenode.net. The channel is called #scipy, but you can also ask NumPy questions since SciPy users also have knowledge of NumPy, as SciPy is based on NumPy. There are at least 50 members on the SciPy channel at all times.

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