NumPy beginner's guide [electronic resource] : an action-packed guide for the easy-to-use, high performance, Python based free open source NumPy mathematical library using real-world examples / Ivan Idris.
Material type:
- 005.13 23
- QA76.7 .I375 2013eb
Includes index.
"Learn by doing : less theory, more results"--Cover.
Electronic reproduction. Palo Alto, Calif. : ebrary, 2015. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.
Description based on online resource; title from title page (ebrary, viewed May 23, 2013).
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