High performance Python / Micha Gorelick and Ian Ozsvald.
By: Gorelick, Micha [author.].
Contributor(s): Ozsvald, Ian [author.].
Edition: First edition.Description: xv, 351 pages : illustrations ; 24 cm.ISBN: 9781449361594 (pbk.); 1449361595 (pbk.).Subject(s): Python (Computer program language)DDC classification: 005.133 Summary: "If you're an experienced Python programmer, High Performance Python will guide you through the various routes of code optimization. You'll learn how to use smarter algorithms and leverage peripheral technologies, such as numpy, cython, cpython, and various multi-threaded and multi-node strategies. There's a lack of good learning and reference material available if you want to learn Python for highly computational tasks. Because of it, fields from physics to biology and systems infrastructure to data science are hitting barriers. They need the fast prototyping nature of Python, but too few people know how to wield it"--Publisher's description.| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| Book | Skoltech library Shelves | QA76.73.P98 G67 2014 (Browse shelf) | Checked out | 24/09/2024 | 2000007603 |
Browsing Skoltech library Shelves , Shelving location: Shelves Close shelf browser
| QA76.73.C15 K63 2015 Programming in C / | QA76.73.J38 S327 2014 Java : | QA76.73 P70 Docker Deep Dive : | QA76.73.P98 G67 2014 High performance Python / | QA76.73.P98 L877 2013 Learning Python / | QA76.73.P98 M85 2016 Introduction to machine learning with Python : | QA76.758 .R467 2012 Research methodologies, innovations, and philosophies in software systems engineering and information systems / |
Includes index.
"If you're an experienced Python programmer, High Performance Python will guide you through the various routes of code optimization. You'll learn how to use smarter algorithms and leverage peripheral technologies, such as numpy, cython, cpython, and various multi-threaded and multi-node strategies. There's a lack of good learning and reference material available if you want to learn Python for highly computational tasks. Because of it, fields from physics to biology and systems infrastructure to data science are hitting barriers. They need the fast prototyping nature of Python, but too few people know how to wield it"--Publisher's description.
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