| Description |
1 online resource (1 volume) : illustrations |
|
text file |
| Series |
Learn by doing : less theory, more results |
|
Learn by doing : less theory, more results.
|
| Note |
Includes index. |
| Contents |
Chapter 1: NumPy Quick Start -- Chapter 2: Beginning with NumPy Fundamentals -- Chapter 3: Getting Familiar with Commonly Used Functions -- Chapter 4: Convenience Functions for Your Convenience -- Chapter 5: Working with Matrices and ufuncs -- Chapter 6: Moving Further with NumPy Modules -- Chapter 7: Peeking Into Special Routines -- Chapter 8: Assure Quality with Testing -- Chapter 9: Plotting with matplotlib -- Chapter 10: When NumPy is Not enough -- SciPy and Beyond. |
| Summary |
This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources. |
| Language |
English. |
| Subject |
Python (Computer program language)
|
|
Numerical analysis -- Data processing.
|
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Python (Langage de programmation) |
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Analyse numérique -- Informatique. |
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Numerical analysis -- Data processing |
|
Python (Computer program language) |
| Added Title |
Build efficient, high-speed programs using the high-performance NumPy mathematical library |
| Other Form: |
Print version: Idris, Ivan. NumPy beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library. Third edition. Birmingham, England : Packt Publishing, ©2015 xvi, 317 pages 9781785281969 |
| ISBN |
9781785288838 (electronic bk.) |
|
1785288830 (electronic bk.) |
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