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Python Data Analysis, Second Edition

You're reading from   Python Data Analysis, Second Edition Data manipulation and complex data analysis with Python

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787127487
Length 330 pages
Edition 2nd Edition
Languages
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Table of Contents (16) Chapters Close

Preface 1. Getting Started with Python Libraries FREE CHAPTER 2. NumPy Arrays 3. The Pandas Primer 4. Statistics and Linear Algebra 5. Retrieving, Processing, and Storing Data 6. Data Visualization 7. Signal Processing and Time Series 8. Working with Databases 9. Analyzing Textual Data and Social Media 10. Predictive Analytics and Machine Learning 11. Environments Outside the Python Ecosystem and Cloud Computing 12. Performance Tuning, Profiling, and Concurrency A. Key Concepts
B. Useful Functions C. Online Resources

Appendix C. Online Resources

The following is a list of links to documentation, forums, articles, and other information:

The Apache Cassandra database: http://cassandra.apache.org

Beautiful Soup: https://www.crummy.com/software/BeautifulSoup/

The HDF Group website: https://www.hdfgroup.org/

A gallery of interesting IPython notebooks: https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks

The Graphviz open source graph visualization software: http://graphviz.org/

The IPython website: http://ipython.org/

The Jupyter website: http://jupyter.org/

Matplotlib (a Python plotting library): http://matplotlib.org/

MongoDB (an open source document database): http://www.mongodb.org

The mpi4py docs: http://mpi4py.scipy.org/docs/usrman/index.html

Natural Language Toolkit (NLTK): http://www.nltk.org/

NumPy and SciPy documentation: http://docs.scipy.org/doc/

NumPy and SciPy mailing lists: http://www.scipy.org...

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