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NumPy 1.5 Beginner's Guide
NumPy 1.5 Beginner's Guide
- GenresComputers
234 pages, Paperback
First published November 8, 2011
9 people want to read
About the author
Ivan Idris
14 books26 followersIvan Idris is the author of NumPy Beginner's Guide and NumPy Cookbook. He was born in Bulgaria from Indonesian parents. He moved to the Netherlands in the 1990s, where he graduated from high school and got a MSc in Experimental Physics.
His graduation thesis had a strong emphasis on Applied Computer Science. After graduating he worked for several companies as Java Developer, Datawarehouse 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.
His graduation thesis had a strong emphasis on Applied Computer Science. After graduating he worked for several companies as Java Developer, Datawarehouse 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.
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Displaying 1 - 4 of 4 reviews
December 28, 2011
This new NumPy book provides an easy start to NumPy for those who want to churn numbers in Python programming language, whether you don't have much programming background or you are switching from your favorite language. The author of the book uses quite a friendly tone throughout the book. Most of the important aspects of NumPy is well covered with well explained examples. The examples provided are step by step explained, starting from the basic array/matrix creation to more complex tasks like signal analysis and linear algebra related calculations.
To get best out of this book, it is recommended that you would try out the examples and challenge yourself with the exercises given in have a go sections of the book. If you are feeling lazy for some reason, you can get the source code from the book's page. I finished perusing the book in about a week (having a few years of NumPy experience has definitely role in this). For me reading and understanding through stock market related examples were a bit boring, but if you are in to financial business you might enjoy putting NumPy in your toolstack with the help of this book. Notably, besides the basic NumPy beginners chapters, the book extends into basic Matplotlib and SciPy lands. A lot of examples use Matplotlib to create plots and better illustrate the operations at hand (e.g. curve fitting, statistical distributions) It is a bit surprising to see MaskedArray module didn't get any mention in the book. However, with the basics you gained, it should be fairly easy to start experimenting with masked array functions of NumPy.
Overall, if you are looking for a book to get started in NumPy in about 200 pages, you might give this one a chance. It is available in both print and electronic formats. Further on, you can try their advanced matplotlib and and Sage books, if you are willing to enhance your scientific Python skills.
Final Note: I received a review copy from the publisher. Thanks to Packt publishing for their contributions to open-source literature and providing me a free copy of the book.
To get best out of this book, it is recommended that you would try out the examples and challenge yourself with the exercises given in have a go sections of the book. If you are feeling lazy for some reason, you can get the source code from the book's page. I finished perusing the book in about a week (having a few years of NumPy experience has definitely role in this). For me reading and understanding through stock market related examples were a bit boring, but if you are in to financial business you might enjoy putting NumPy in your toolstack with the help of this book. Notably, besides the basic NumPy beginners chapters, the book extends into basic Matplotlib and SciPy lands. A lot of examples use Matplotlib to create plots and better illustrate the operations at hand (e.g. curve fitting, statistical distributions) It is a bit surprising to see MaskedArray module didn't get any mention in the book. However, with the basics you gained, it should be fairly easy to start experimenting with masked array functions of NumPy.
Overall, if you are looking for a book to get started in NumPy in about 200 pages, you might give this one a chance. It is available in both print and electronic formats. Further on, you can try their advanced matplotlib and and Sage books, if you are willing to enhance your scientific Python skills.
Final Note: I received a review copy from the publisher. Thanks to Packt publishing for their contributions to open-source literature and providing me a free copy of the book.
August 11, 2016
My impression of the book was quite positive. It's a book based on examples, which incrementally introduce all the main features of the library. It is written with a simple language and easy to understand. The text covers many topics, from the NumPy installation to the integration of NumPy with other scientific libraries as Matplotlib and SciPy.
This book is aimed at people who know Python and need to start using scientific computing in their programs. It is also suitable for people who use another scientific computing environment, such as Matlab, and want quick-start introduction to NumPy.
This book is aimed at people who know Python and need to start using scientific computing in their programs. It is also suitable for people who use another scientific computing environment, such as Matlab, and want quick-start introduction to NumPy.
December 26, 2011
I wrote this book, so I will leave the reviewing to other people.
It is the first and only book for beginners about NumPy. NumPy Beginner’s Guide is an action-packed guide for the easy-to-use, high performance, Python based free open source NumPy mathematical library using real-world examples. The book will teach you how to analyze large data sets with statistical functions and execute complex linear algebra and mathematical computations.
It is the first and only book for beginners about NumPy. NumPy Beginner’s Guide is an action-packed guide for the easy-to-use, high performance, Python based free open source NumPy mathematical library using real-world examples. The book will teach you how to analyze large data sets with statistical functions and execute complex linear algebra and mathematical computations.
August 5, 2016
Poor, very poor.
Displaying 1 - 4 of 4 reviews