NumPy

HiTeX Press, 2024. — 348 р. — ISBN-13: 978-1964899046. "Scientific Computing with Python: Mastering Numpy and Scipy" is a comprehensive guide designed to equip readers with the knowledge and skills necessary for efficient numerical computations and data analysis. Whether you're a beginner or an advanced user, this book delves into essential topics such as array manipulation,...

Independently published, 2023-09-11. — 44 р. — ASIN: B0CHVRB3FQ. Subtitle: A Comprehensive Guide to Mastering NumPy for Data Science, Machine Learning, and Scientific Computing Unlock the full potential of NumPy, the fundamental library for scientific computing in Python, with “NumPy Mastery: 150 Practical Examples in Python.” This comprehensive guide is designed to empower...

Independently published, 2022. — 175 p. NumPy, which stands for Numerical Python, is a library consisting of multidimensional array objects and a collection of routines for processing those arrays. Using NumPy, mathematical and logical operations on arrays can be performed. NumPy is a Python package. It stands for ‘Numerical Python’. It is a library consisting of...

Independently published, 2021. — 126 p. — ASIN : B093KLXNL1. Absolutely for Beginners “Numpy Programming & Exercises” covers all essential Numpy knowledge. You can learn complete primary skills of Numpy fast and easily. The book includes many practical examples for beginners and includes questions and answers for the college exam, the engineer certification exam, and the job...

Independently published, 2020. — 116 p. — ASIN B08KGP5MKL. Thank you for picking up this book. This book is a practical introduction to "Numpy" for Python newbies. You will learn how to write a real program in Python through 101 problems. The goal is to help students learn to write code that takes full advantage of Numpy's capabilities. We expect the following readers to take...

Packt Publishing, 2018. — 248 p. — ISBN: 1788993357. Enhance the power of NumPy and start boosting your scientific computing capabilities Key Features Grasp all aspects of numerical computing and understand NumPy Explore examples to learn exploratory data analysis (EDA), regression, and clustering Access NumPy libraries and use performance benchmarking to select the right tool...