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Python Data Analysis Cover

Python Data Analysis

Learn how to apply powerful data analysis techniques with popular open source Python modules

Paid access
|Nov 2014

Key Features

    Book Description

    What you will learn

    • Install open source Python modules on various platforms
    • Get to know about the fundamentals of NumPy including arrays
    • Manipulate data with pandas
    • Retrieve, process, store, and visualize data
    • Understand signal processing and timeseries data analysis
    • Work with relational and NoSQL databases
    • Discover more about data modeling and machine learning
    • Get to grips with interoperability and cloud computing

    Who this book is for

    Table of Contents

    1. Getting Started
    2. NumPy Arrays
    3. Statistics and Linear Algebra
    4. Pandas Primer
    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 of the Python ecosystem and Cloud Computing
    12. Performance Tuning, Profiling and Concurrency
    13. Appendix A
    14. Appendix B
    15. Appendix C
    16. Preface
    PDF ISBN: 978-1-78355-336-5
    Publisher: Packt Publishing Limited
    Copyright owner: © 2014 Packt Publishing Limited
    Publication date: 2014
    Language: English
    Pages: 348

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