AI Publishing, 2022 — 417 p. — ISBN: B09QNTX3JK. Python Libraries Textbook for Beginners with Codes Folder Python is doubtless the most versatile programming language. But are you serious enough about becoming proficient in Python? If yes, then you need to become a master in the two essential Python libraries—NumPy and Pandas. You simply can’t overlook this truth. In data...
Independently published, 2020. — 200 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, 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, 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, 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, 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...
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...
Joshua K. Cage, 2020. — 162 p. Thank you for picking up this book. This book is a practical introduction to "Numpy" for first-time Python users. 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 advantage of this...
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...
Packt Publishing, 2018. — 248 p. — ISBN: 1788993357. !Code files only 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...
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...
Packt Publishing, 2016. — 156 p. In today's world of science and technology, it's all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need. This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider...
Leanpub, 2021. — 54 p. You will learn that NumPy has very efficient arrays that are easy to use due to the powerful indexing mechanism. This book describes some of the more advanced and tricky indexing techniques. This weekend, we will cover many fundamental operations of the NumPy. New NumPy-related developments seem to come to our attention every week, or maybe even daily....
Packt Publishing, 2011. - 233 pages. ISBN: 1849515301, 9781849515306. Scientists, engineers, and quantitative data analysts face many challenges nowadays. Data scientists want to be able to do numerical analysis of large datasets with minimal programming effort. They want to write readable, efficient, and fast code, that is as close as possible to the mathematical language...
Packt Publishing, 2013. — 310 p. — 2nd ed. — ISBN: 1782166084, 9781782166085 NumPy is an extension to, and the fundamental package for scientific computing with Python. In today's world of science and technology, it is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy Beginner's Guide will teach you about NumPy, a...
3rd ed. — Packt Publishing, 2015. — 347 p. — 1785281968, 9781785281969
In today's world of science and technology, it's all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy will give you both speed and high productivity. This book will walk you through NumPy with clear, step-by-step examples and just the right amount of theory. The...
Packt Publishing – 2012, 226 pages ISBN: 1849518920, 9781849518925 Over 70 interesting recipes for learning the Python open source mathematical library, NumPy Overview Do high performance calculations with clean and efficient NumPy code Analyze large sets of data with statistical functions Execute complex linear algebra and mathematical computations In Detail Today's world of...
2nd ed. — Packt Publishing, 2015. — 258 p. — ISBN: 978-1-78439-094-5 NumPy has the ability to give you speed and high productivity. High performance calculations can be done easily with clean and efficient code, and it allows you to execute complex algebraic and mathematical computations in no time. This book will give you a solid foundation in NumPy arrays and universal...
Packt Publishing, 2014. - 164p. NumPy is an extension of Python, which provides highly optimized arrays and numerical operations. NumPy replaces a lot of the functionality of MatLAB and Mathematica specifically vectorized operations, but in contrast to those products is free and open source. In today's world of science and technology, it is all about speed and flexibility. This...
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, 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, 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...
Written by the NumPy community. — Scipy, 2014. — 1460 p.
This reference manual details functions, modules, and objects included in Numpy, describing what they are and what they do. For learning how to use NumPy, see also user.
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,...
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,...
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,...
Springer, 2023. — 123 p. This volume explains the foundations of modern solvers for ordinary differential equations (ODEs). Formulating and solving ODEs is an essential part of mathematical modeling and computational science, and numerous solvers are available in commercial and open source software. However, no single ODE solver is the best choice for every single problem, and...
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, 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, 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...
Краткий обзор использования NumPy на примере решения начальной задачи математической физики.
Работа является вольным переводом этого:
http://folk.uio.no/rolv/slides_color.pdf
Было переведено при попытке разобраться в NumPy.
Все примеры перепроверены, ошибки исправлены (для numpy).
Почему именно Python
Содержание:
Вычисления с Numerical Python включают.
Numeric vs...
NumPy - это расширение языка Python, добавляющее поддержку больших многомерных массивов и матриц, вместе с большой библиотекой высокоуровневых математических функций для операций с этими массивами. Предшественник NumPy, Numeric, был изначально создан Jim Hugunin. NumPy открытое программное обеспечение и имеет много разработчиков.
Версия NumPy
1.3.0. win
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