PDF | On Jan 1, , H P Langtangen and others published Python Scripting for Computational Science. Python Scripting for Computational Science. Hans Petter Langtangen. Simula Research Laboratory and. Department of Informatics. University of Oslo. Texts in Computational Science and Engineering. Free Preview. © Python Scripting for Computational Science. Authors: Langtangen, Hans Petter.
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The numbering of the exercises is altered as a result of both adding and removing exerises.
Chapter 1 gives an introduction to what scripting is and what it can be good for in a computational science context. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks.
Python stands out as the language of choice for scripting in computational science because of its very clean syntax, rich modularization features, good support for numerical computing, and rapidly growing popularity. A quick introduction to scripting scoence Python, using examples of relevance to computational scientists and engineers, is provided in Chapter 2.
This work is subject to copyright. Ring, and Rolv E. Instead, they want to get quickly started with examples from their langangen world of applications and learn the tools while using them. In fact, the high-level programming style and tools used in scripts open up new possibilities you would hardly consider as a Fortran or C programmer.
The present book is written in this spirit — we dive into simple yet useful examples and learn about syntax scfipting programming techniques during dissection of the examples. Box Blindern Oslo, Norway http: The second edition features new material, reorganization of text, improved scieence and software tools, updated information, and correction of errors.
Duplication of this publication or partsthereof is permitted onlyunder the provisionsof theGerman CopyrightLaw of September 9,in its current version, and permission for use must always be obtained from Springer. Chapters 5 and 10 have been extended with new material. The second edition was based on Python version 2. Bredesen are highly appreciated. Recent Python features, such as generator expressions Chapter 8.
What Pythonn is About. Several parts of Chapter 4 on numerical computing have been extended especially Chapters 4.
Numerous sections or paragraphs have been expanded, condensed, or removed. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint.
To reduce complexity of the principal software example in Chapters 9 and 10, I have removed evaluation of string formulas. The new scitools package is backward compatible with py4cs from scriptingg second edition.
Python Scripting For Computational Science – Livro sobre programação em python
The idea is to get the reader started such that further development of the examples towards real-life applications can be done with the aid of online manuals or Python reference books. Installation of Python itself and the many add-on modules have become increasingly simpler over the years with setup. Want to know Runways information comutational a particular airport?
The py4cs package with software tools associated with this book has undergone a major revision and extension, and the package is pyghon maintained under the name scitools and distributed separately. Click here to find out.
Book Description With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built scrjpting small scripts written in the easy-to-learn, high-level Python language.
Amazon Related Book Categories: Scripting in the Python programming language can be a key comphtational for reaching these goals [27,29]. Barth Michael Griebel David E. Instead, one can use the revised StringFunction tool from Chapter So, although Matlab is perhaps the scripting language of choice in computational science today, my use of the term scripting goes beyond typical Matlab scripts.
The use of general descriptive names, registered names, trademarks, etc. Perl, Python, Ruby, Scheme, and Tcl are examples of languages supporting such high-level programming or scripting. Programando em Python – Listas lista em python. Special Features of This Book. Box Lysaker, Norway hpl simula. Atlas de Anatomia Humana Com 1. Since Numerical Python functionality appears in a lot of places in the book, there are hence a huge number of updates to the new suggested numpy syntax, especially in Chapters 4, 9, and That is, scripts often glue stand-alone applications and operating system commands.
For example, F2PY and the Instant tool are very convenient for interfacing C code, and this topic is treated in detail in Chapters 5. The major change between the second and third editions, however, is caused by the new implementation of Numerical Python, now called numpy.
Python Scripting For Computational Science
A quick tutorial on building graphical user interfaces appears in Chapter 6, while Chapter 7 builds the same user interfaces as interactive Web pages. This third edition features lots of new material.
It is also released after a comprehensive reorganization of the text. I am greatful to everyone who has sent emails and contributed copmutational improvements. Revised and additional tips on optimizing Python code have been included in Chapter 8.
The simplest application of scripting is to write short programs scripts that automate manual interaction with the computer. The primary purpose of this book is to help scientists and engineers working intensively with computers to become more productive, have more fun, and increase the reliability of their investigations.
A primary example is automating simulation and visualization: