Автор: Langtangen Hans Petter Название: A Primer on Scientific Programming with Python ISBN: 3662498863 ISBN-13(EAN): 9783662498866 Издательство: Springer Рейтинг: Цена: 32600.00 T Наличие на складе: Есть Описание: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches 'Matlab-style' and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.Alex Small, IEEE, CiSE Vol. 14 (2), March?/April 2012 “This fourth edition is awonderful, inclusive textbook that covers pretty much everything one needs toknow to go from zero to fairly sophisticated scientific programming in Python…”Joan Horvath, Computing Reviews, March2015
Автор: Nayak, Rakesh Название: Python for engineers and scientists ISBN: 1032111038 ISBN-13(EAN): 9781032111032 Издательство: Taylor&Francis Рейтинг: Цена: 100030.00 T Наличие на складе: Нет в наличии. Описание: The text focuses on the basics of Python programming fundamentals and introduction to present-day applications in technology and the upcoming state-of-art trends in a comprehensive manner. The text is based on Python 3.x and it covers the fundamentals of Python with object-oriented concepts having numerous worked-out examples. It provides a learning tool for the students of beginner level as well as for researchers of advanced level. Each chapter contains additional examples that explain the usage of methods/functions discussed in the chapter. It provides numerous programming examples along with their outputs.The book:Includes programming tips to highlight the important concepts and help readers avoid common programming errorsProvides programming examples along with their outputs to ensure the correctness and help readers in mastering the art of writing efficient Python programsContains MCQs with their answers; conceptual questions and programming questions; and solutions to some selected programming questions, for every chapterDiscusses applications like time zone converter and password generators at the endCovers fundamental of Python up to object oriented concepts including regular expressionThe book offers a simple and lucid treatment of concepts supported with illustrations for easy understanding, provides numerous programming examples along with their outputs, and includes programming tips to highlight the important concepts. It will be a valuable resource for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
Автор: Bayen, Alexandre Название: Python Programming And Numerical Methods ISBN: 0128195495 ISBN-13(EAN): 9780128195499 Издательство: Elsevier Science Рейтинг: Цена: 70730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level to allow the students to quickly apply results in practical settings.
Автор: Faraway, Julian J. Название: Linear models with python ISBN: 1138483958 ISBN-13(EAN): 9781138483958 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Linear Models with Python offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to apply the different methods using Python
Автор: Nadezhda M. Afanasyeva,Victor S. Borisov,Aleksandr Название: Computational Technologies: A First Course ISBN: 3110359928 ISBN-13(EAN): 9783110359923 Издательство: Walter de Gruyter Цена: 49530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book wedescribe the basic elements of present computational technologies that use the algorithmic languages C/C++. The emphasis is on GNU compilers and libraries, FOSS for the solution of computational mathematics problems and visualization of the obtained data. At the beginning, a brief introduction to C is given with emphasis on its easy use in scientific and engineering computations.We describe the basic elements of the language, such as variables, data types, executable statements, functions, arrays, pointers, dynamic memory and file management. After that, we present some observations on the C++ programming language.We discuss the issues of program compiling, linking, and debugging. A quick guide to Eclipse is also presented in the book. The main features for editing, compiling, debugging and application assembling are considered.As examples, wesolve the standard problems of computational mathematics: operations with vectors and matrices, linear algebra problems, solution of nonlinear equations, numerical differentiation and integration, interpolation, initial value problems for ODEs and so on. Finally, basic features ofcomputational technologies are illustrated with model problems. All programs are implemented in C/C++ with using the GSL library. Gnuplot is employed to visualize the results of computations.
Автор: Arratia Argimiro Название: Computational Finance ISBN: 946239069X ISBN-13(EAN): 9789462390690 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers a wide range of essential topics in computational finance, touching upon the basic principles of finance, computational statistics and mathematics of finance. It features hands-on examples for programming models in R.
Автор: Milosevic, Alan Название: Gcse computer science nea programming guide - python edition ISBN: 0957140231 ISBN-13(EAN): 9780957140233 Издательство: Неизвестно Рейтинг: Цена: 15930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Students learning to program are first taught some simple constructs in the language; 'for' loops, 'if ... then' statements and the like. Understanding these is quite straightforward, but turning these language constructs into effective and effcient solutions of real world problems is quite another matter.
This book takes three GCSE sample tasks provided by one of the examination boards and guides the student slowly and carefully through the sort of approach and thinking that is required to convert ideas into pseudo code and then into working code.
This book is relatively easy to read but it is not an easy book. Learning to write code is hard and there is no 'royal road' to programming. We have written the book in a conversational style but following us from first thoughts, through development to the solution of each of these problems will require time and concentrated effort on the part of the student.
Although written specifically to help GCSE students come to grips with their first programming task, we hope that this book might help anyone looking to improve their skills.
All of the source code and relevant data files are available for download from github.
Автор: Gregory J. Chaitin Название: The LIMITS of MATHEMATICS ISBN: 1447111214 ISBN-13(EAN): 9781447111214 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: As a teenager, Greg created independently of Kolmogorov and Solomonoff, what we call today algorithmic information theory, a sub- ject of which he is the main architect. My favorite portrait of Greg can be found in John Horgan`s-a writer for Scientific American-1996 book The End 01 Science. Ladies and Gentlemen, Greg Chaitin!
Автор: Marc Potters, Jean-Philippe Bouchaud Название: A First Course in Random Matrix Theory ISBN: 1108488080 ISBN-13(EAN): 9781108488082 Издательство: Cambridge Academ Рейтинг: Цена: 61240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Classical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real world applications make it an essential tool for physicists, engineers, data analysts and economists.
Автор: Johnson, Mark J. Название: Concise introduction to programming in python, second edition ISBN: 1138082589 ISBN-13(EAN): 9781138082588 Издательство: Taylor&Francis Рейтинг: Цена: 51030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text provides a hands-on introduction to writing software in Python, with no prior programming experience required. It offers sections designed for approximately one class period each, and proceeds gradually from procedural to object-oriented design. Examples, exercises, and projects are included from diverse application domains.
4 books are bundled: "Python Beginner's Guide" + "Python 7-Day Crash Course" + "Python Advanced Guide" + "Python for Data Science" to give you maximum benefits.
The truth is...Learning a new coding language is not always as easy as it may seem, and it can take months to master it, some beginners are worried that programming is going to be difficult and they give up before trying. You may have a great idea for your website or make your app, but choosing to hire another programmer to do the work, is costly, and if anything ever goes wrong with the program, you still have to pay them.
The solution is a complete guide with practical projects and examples that will allow you to finally master the easiest programming language. Python: 4 Books in 1 is going to take the time to teach you, whether you are a total beginner or have worked with some coding in the past, how to handle the Python language and how to make it work for your needs. In no time, you will be able to go form a complete beginner in the world of programming and Python and turn yourself into an expert instead.
Inside this book, we are going to spend some time taking a look at the basics that we need on the Python language, before moving into more advanced topics like machine learning and data science.
You will learn:
Why Python is Considered One of the Best Languages to Learn as a Beginner
Easy Step-by-Step Instructions to Install the Python Language
A Proven Method to Write your First Program in 7 Days or Less
5 Common Mistakes to Avoid when You Start Coding
A Simple Strategies to Write Clean, Understandable and Flexible Code
The One Thing You Need to Debug your Codes in Python
Practical Exercises to Quickly Get Practice
5 Practical Applications of Data Science
The Benefits of Using Python for Data Analysis
Most of the books on the market only take a brief look into Python, showing some of the topics but never going deep and showing you how to work on the code. With the help of Python: 4 Books in 1, you will be able to learn more about how coding in this language works, and how even someone with no coding experience can make it work.
Whether you're completely new to programming or you are looking for a new language to expand your skills, you will find this book an invaluable tool for mastering programming in Python and solving problems with practical techniques used by data scientists.
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