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.

© 2015 Packt Publishing (Libro electrónico): 9781785288838

Fecha de lanzamiento

Libro electrónico: 24 de junio de 2015