Numpy Beginner's Guide (Update) : Build efficient, high-speed programs using the high-performance NumPy mathematical library

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.

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Numpy Beginner's Guide (Update) : Build efficient, high-speed programs using the high-performance NumPy mathematical library

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.


Autor*in:

Format:

Dauer:

  • 476 seiten

Sprache:

Englisch


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