June 2018
Intermediate to advanced
248 pages
5h 27m
English
Overview
"Mastering Numerical Computing with NumPy" is a comprehensive guide to becoming proficient in numerical computing using Python's NumPy library. This book will teach you how to perform advanced numerical operations, explore data statistically, and build predictive models effectively. By mastering the provided concepts and exercises, you'll be empowered in your scientific computing projects.
What this Book will help me do
- Perform and optimize vector and matrix operations effectively using NumPy.
- Analyze data using exploratory data analysis techniques and predictive modeling.
- Implement unsupervised learning algorithms such as clustering with relevant datasets.
- Understand advanced benchmarks and select optimal configurations for performance.
- Write efficient and scalable programs utilizing advanced NumPy features.
Author(s)
The authors of "Mastering Numerical Computing with NumPy" include domain experts and educators with years of experience in Python programming, numerical computing, and data science. They bring a practical and detailed approach to teaching advanced topics and guide you through every step of mastering NumPy.
Who is it for?
This book is ideal for Python programmers, data analysts, and data science enthusiasts who aim to deepen their understanding of numerical computing. If you have basic mathematics skills and want to utilize NumPy to solve complex data problems, this book is an excellent resource. Whether you're a beginner or an intermediate user, you will find this content approachable and enriching. Advanced users will benefit from the highly specialized content and real-world examples.
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