April 2016
Beginner
156 pages
3h 23m
English
Overview
NumPy Essentials is your guide to mastering NumPy, the powerful Python library for scientific computing. In this book, you'll discover how to manipulate arrays, perform mathematical operations, and create advanced models. With its clear examples and practical exercises, you'll build the skills needed to efficiently tackle analytical challenges.
What this Book will help me do
- Learn to manipulate data efficiently with NumPy array objects and universal functions.
- Gain proficiency in solving linear algebra problems using NumPy's powerful modules.
- Master regression techniques and curve fitting for statistical modeling.
- Apply Fourier Transform and spectral analysis in solving real-world problems.
- Integrate and optimize Python code using Cython and the NumPy C API for higher performance.
Author(s)
Jaidev Deshpande, None Chin, Tanmay Dutta, and Shane Holloway are seasoned developers passionate about Python and scientific computing. With experience across diverse projects, they bring practical insights and accessible explanations to their writing.
Who is it for?
This book is ideal for Python developers seeking to sharpen their numerical computing skills. Prior experience with Python is expected, as the content progresses quickly to advanced topics. Whether you're working in data analysis, scientific research, or machine learning, this book will provide valuable tools and insights.
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