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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Department of Informatics University of Oslo P. Ring, and Rolv E. Instead, one can use the revised StringFunction tool from Chapter 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 from small scripts written in the easy-to-learn, high-level Python language.

Many smaller changes have been implemented in Chapter 8; the larger ones concern exemplifying Tar archives instead of ZIP archives in Chapter 8. Violations are liable to prosecution under the German Copyright Law. The second edition features new material, reorganization of text, improved examples and software tools, updated information, and correction of errors.

Scripting in the Python programming language can be a key tool for reaching these goals [27,29]. All the tools and examples in this book are open source codes. Chapters 5 and 10 have been extended with new material. Box Lysaker, Norway hpl simula. Apostila Python Apostila sobre python. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint.

That is, scripts often glue stand-alone applications and operating system commands. Bredesen are highly appreciated.

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. 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.


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 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. Special Features of This Book. With Python and the techniques explained in this book, you can actually create your own easy-to-use computational environment, which mirrors the working style of Matlab-like tools, but tailored to your own number crunching codes and favorite visualization systems.

Programando em Python – Modulos Modulos em python. The major change between the second and third editions, however, is caused by the new implementation of Numerical Python, now called numpy. For example, F2PY and the Instant tool are very convenient for interfacing C code, and this topic is treated in detail in Chapters 5.

Python Scripting For Computational Science

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 Chapter 1 gives an introduction to what scripting is and what it can be good for in a computational science context.

Installation of Python itself and the many add-on modules have become increasingly simpler over the years with setup.

The numbering of the exercises is altered as a result of both adding and removing exerises. To zcripting Python code, we now also introduce the Psyco and Weave tools see Chapters 8. The sequence of chapters is hardly changed, but a couple of sections have been moved.

Python Scripting For Computational Science – Livro sobre programação em python

This third edition features lots of new material. Box Blindern Oslo, Norway http: 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 sccripting computing, and rapidly growing popularity. Numerous sections or paragraphs have been expanded, condensed, or removed. I am greatful to langttangen who has sent emails and contributed with improvements.


The py4cs package with software tools associated with this book has undergone a major revision and extension, and the package is now maintained under the name wcripting and distributed separately. Several people has helped me with preparing the new edition.

This work is subject to copyright. Barth Michael Griebel David E. Amazon Related Book Categories: It is also released after a comprehensive reorganization of the text. The new scitools package is backward compatible with py4cs from the second edition. A quick introduction to scripting with Python, using examples of relevance to computational scientists and engineers, is provided in Chapter 2.

Revised and additional tips on optimizing Python code have been included in Chapter 8. A quick tutorial on building graphical user langtangn appears in Chapter 6, while Chapter 7 builds the same user interfaces as interactive Web pages.

The simplest application of scripting is to write short programs scripts that automate manual interaction with the computer. The use of general descriptive names, registered names, trademarks, etc. The interest in scripting with Python has exploded among Internet service developers and computer system administrators.

A primary example is automating simulation and visualization: Programando em Python – Listas lista em python. Recent Python features, such as generator expressions Chapter 8.