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NumPy Cookbook

You're reading from   NumPy Cookbook If you're a Python developer with basic NumPy skills, the 70+ recipes in this brilliant cookbook will boost your skills in no time. Learn to raise productivity levels and code faster and cleaner with the open source mathematical library.

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Product type Paperback
Published in Oct 2012
Publisher Packt
ISBN-13 9781849518925
Length 226 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (17) Chapters Close

NumPy Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Winding Along with IPython 2. Advanced Indexing and Array Concepts FREE CHAPTER 3. Get to Grips with Commonly Used Functions 4. Connecting NumPy with the Rest of the World 5. Audio and Image Processing 6. Special Arrays and Universal Functions 7. Profiling and Debugging 8. Quality Assurance 9. Speed Up Code with Cython 10. Fun with Scikits Index

Installing Pandas


Pandas is a Python library for data analysis. It has some similarities with the R programming language, which are not coincidental. R is a specialized programming language popular with data scientists. For instance, the core DataFrame object is inspired by R.

How to do it...

On PyPi, the project is called pandas. So, for instance, run either of the following two command:

sudo easy_install -U pandas
pip install pandas

If you are using a Linux package manager, you will need to install the python-pandas project. On Ubuntu, you would do the following:

sudo apt-get install python-pandas

You can also install from source (requires Git):

git clone git://github.com/pydata/pandas.git 
cd pandas 
python setup.py install
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