文档介绍：PUBLISHING P U B L I S H I N munity experience distilled NumPy Beginner’s Guide Ivan Idris Chapter No. 3 "Get into Terms monly Used Functions" In this package, you will find: A Biography of the author of the book A preview chapter from the book, Chapter "Get into Terms monly Used Functions" A synopsis of the book’s content Information on where to buy this book About the Author Ivan Idris has a degree in Experimental Physics and several certifications (SCJP, SCWCD and other). His graduation thesis had a strong emphasis on Applied Computer Science. After graduating, Ivan worked for panies as Java developer, Dataware house developer, and Test Analyst. More information and a blog with a few NumPy examples can be found on I would like to take this opportunity to thank the reviewers and the team at Packt for making this book possible. Also, thanks goes to my teachers, professors and colleagues who taught me about science and programming. Last, but not least; I would like to acknowledge my parents, family, and friends for their support. For More Information: py-1-5-u sing-real-world-examples- beginners-guide/book NumPy Beginner’s Guide Scientists, engineers, and quantitative data an alysts face many challenges nowadays. Data scientists want to be able to do numerical analysis of large datasets with minimal programming effort. They want to write readable , efficient, and fast code, that is as close as possible to the mathematical language pack age they are used to. A number of accepted solutions are available in the puting world. The C, C++, and Fortran programming languag es have their benefits, but they are not interactive and are considered plex by many. mercial alternatives are, among others, Matlab, Mapl e, and Mathematica. These products provide powerful scripting languages, however, they are still more limited than any general purpose programming language. There are othe r open source tools similar to Matlab s