Python for the Life Sciences: A Gentle Introduction to Python for Life Scientists, Lancaster Alexander, Webster Gordon
Автор: Lutz Mark Название: Learning Python, 5 ed. ISBN: 1449355730 ISBN-13(EAN): 9781449355739 Издательство: Wiley Рейтинг: Цена: 9502.00 р. Наличие на складе: Поставка под заказ.
Описание: Based on author Mark Lutz`s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It`s an ideal way to begin, whether you`re new to programming or a professional developer versed in other languages.
Автор: Guido Sarah Название: Introduction to Machine Learning with Python ISBN: 1449369413 ISBN-13(EAN): 9781449369415 Издательство: Wiley Рейтинг: Цена: 9502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.
Описание: This textbook introduces beginning to intermediate science and engineering students to programming with Python. It encourages a stronger understanding of programming concepts through numerous science and engineering examples and Jupyter notebook problems, connecting programming tools and structures with real-world research and analysis.
Описание: This book presents computer programming as a key method for solving mathematical problems. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.
Автор: Sandeep Nagar Название: Introduction to Python for Engineers and Scientists ISBN: 1484232038 ISBN-13(EAN): 9781484232033 Издательство: Springer Рейтинг: Цена: 3912.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation.
In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you'll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts.
What You'll Learn
Understand the fundamentals of the Python programming language
Apply Python to numerical computational programming projects in engineering and science
Discover the Pythonic way of life
Apply data types, operators, and arrays
Carry out plotting for visualization
Work with functions and loops
Who This Book Is For
Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.
Автор: Vaughan, Lee Название: Python tools for scientists ISBN: 1718502664 ISBN-13(EAN): 9781718502666 Издательство: Random House (USA) Рейтинг: Цена: 4597.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Doing Science With Python introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior programming experience is required! You'll be guided through setting up a professional coding environment, then get a crash course on programming with Python, and explore the many tools and libraries ideal for working with data, designing visualisations, simulating natural events, and more.
Описание: The book introduces the principles of mathematical modeling in science, engineering, and social science as well as basic skills of computer programming. The book is aimed at majors in STEM disciplines that need to understand how to create, analyze, and test mathematical models.
Автор: John M. Stewart Название: Python for Scientists ISBN: 1316641236 ISBN-13(EAN): 9781316641231 Издательство: Cambridge Academ Рейтинг: Цена: 5067.00 р. Наличие на складе: Поставка под заказ.
Описание: Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.
Описание: Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python 3.6--a language that`s used in millions of devices.
Автор: Yue Zhang Название: An Introduction to Python and Computer Programming ISBN: 9812876081 ISBN-13(EAN): 9789812876089 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces Python programming language and fundamental concepts in algorithms and computing.
Автор: Zelle John M. Название: Python Programming: An Introduction to Computer Science ISBN: 1590282752 ISBN-13(EAN): 9781590282755 Издательство: Неизвестно Цена: 6207.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designed to be used as a primary textbook in a college-level first course in computing. It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science.
Автор: Downey Allen B. Название: Think Python: How to Think Like a Computer Scientist ISBN: 1491939362 ISBN-13(EAN): 9781491939369 Издательство: Wiley Рейтинг: Цена: 5701.00 р. Наличие на складе: Поставка под заказ.
Описание: This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3.
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