Python Data Analysis: Learn how to apply powerful data analysis techniques with popular open source Python modules
Oct 2014 · Packt Publishing Ltd
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6 reviews
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348
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About this ebook
Learn how to apply powerful data analysis techniques with popular open source Python modulesKey Features
- Learn how to find, manipulate, and analyze data using Python
- Perform advanced, high performance linear algebra and mathematical calculations with clean and efficient Python code
- An easy-to-follow guide with realistic examples that are frequently used in real-world data analysis projects
- 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
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.
Learn how to apply powerful data analysis techniques with popular open source Python modulesKey Features
Learn how to find, manipulate, and analyze data using Python
Perform advanced, high performance linear algebra and mathematical calculations with clean and efficient Python code
An easy-to-fol...
Discover more
Ratings and reviews
6 reviews
Bernie Ongewe
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November 29, 2014
Mr Idris is straightforward about the prerequisites though these are lighter than I expected. If I may extract some text directly from the book; "This book is for people with basic knowledge of Python and Mathematics who want to learn how to use Python software to analyze data. We try to keep things simple, but it's not possible to cover all the topics in great detail. It may be useful for you to refresh your knowledge of Mathematics via Khan Academy, Coursera, or Wikipedia." With this in your back pocket the author delivers rigorous treatment of the components of data anaylsis, spending the first hundred pages on just matrix algebra and statistics, for instance. The extent to which Idris refers to and recommends other resources throughout the text makes it easier for the reader to extend their capabilities in any direction. In my mind, this increases the value of this book as an entry point to the topic.
About the author
Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.
Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big d...
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