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A Primer on Scientific Programming with Python
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Produktbeschreibungen
Pressestimmen
From the reviews: “This book is an introduction to computer programming using the Python programming language. It focuses on numerical methods as the context for examples, exercises, and assignments. … 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. Upper-division undergraduates through professionals; general readers.” (F. H. Wild III, Choice, Vol. 47 (8), April, 2010) “It is an authoritative and almost monumental work that covers most aspects of the Python language and its numerical modules. It definitely has a prominent place on my bookshelf. … The text is well written … . In summary, this is the book (the only book) to have if you are an aspiring Python programmer of scientific applications.” (Jaan Kiusalaas, SIAM Review, Vol. 52 (3), September, 2010) “The book’s title reflects its content accurately, the content is substantively scientific and the book is a very good programming book. … This excellent book is quite rich mathematically, numerical methods, differential equations, treatments of shape, and a variety of exercises and projects are included. It will also impart a deep knowledge of python, one of today’s most useful languages. I have learned a great deal from this book and recommend it highly.” (George Hacken, ACM Computing Reviews, September, 2010) From the reviews of the second edition: “This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. … If you want to learn Python … this book is for you. … this is an excellent book for the experienced programmer who wants to learn a new language and become a better programmer. 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, Computing in Science & Engineering, Vol. 14 (2), March/April, 2012)
Kurzbeschreibung
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.
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Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis
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Kundenrezensionen
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Format:Gebundene Ausgabe
This book illustrates basic concepts of programming with Python in a very clear and concise way. Great introduction to object oriented programming using mathematical examples.
I would recommend it to scientists who are looking for an introduction to Python.
I would recommend it to scientists who are looking for an introduction to Python.
Format:Gebundene Ausgabe
The book is a very well written and rich introduction to scientific programming with Python.
To be honest, the book could have been a bit more concise. But better too much than too less.
It has to be mentioned that this book is not a introduction to Python!
Even though the main concepts get a short review I would recommend it only to those you are familiar to the concepts of
this programming language. If thats the case I can only recommend buying this book.
And by the way: It really proofs much easier to do all the programming and computong on Linux since it is somewhat cumbersome to install all the required components on Windows, besides some features wont work on Windows!
To be honest, the book could have been a bit more concise. But better too much than too less.
It has to be mentioned that this book is not a introduction to Python!
Even though the main concepts get a short review I would recommend it only to those you are familiar to the concepts of
this programming language. If thats the case I can only recommend buying this book.
And by the way: It really proofs much easier to do all the programming and computong on Linux since it is somewhat cumbersome to install all the required components on Windows, besides some features wont work on Windows!
Format:Gebundene Ausgabe
There are several well written textbooks on how to start with Python.
Unlike other introductions this one is focussing on the elements of the language, that are important to write programs in a scientific or engineering environment.
H.P. Langtangen did his job very well and professional.
This book is structured, descriptive, full of examples and exercises.
The student receives a considerable amount of knowledge how to cope with even some complex math and engineering tasks in Python and how to visualize results.
... that's what I expected from the book's title and that's what I got.
The quality of cover and paper of this book are also excellent.
If I would not own this book already, I'd order it without hesitation.
Kudos!
Unlike other introductions this one is focussing on the elements of the language, that are important to write programs in a scientific or engineering environment.
H.P. Langtangen did his job very well and professional.
This book is structured, descriptive, full of examples and exercises.
The student receives a considerable amount of knowledge how to cope with even some complex math and engineering tasks in Python and how to visualize results.
... that's what I expected from the book's title and that's what I got.
The quality of cover and paper of this book are also excellent.
If I would not own this book already, I'd order it without hesitation.
Kudos!
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