Python scripting for computational science / Hans Petter Langtangen.

Av:

Langtangen, Hans Petter, 1962-

Materialtyp: Text

TextSpråk: Engelska Serie: Texts in computational science and engineering ; 3Förlag: 2008Förlag: Berlin : Springer, cop. 2008Upplaga: 3rd edBeskrivning: xxiv, 750 s. ill. 25 cmISBN:

9783540739159
3540739157
9783642093159
3642093159

Ämnen:

Genre/form:

DDC-klassifikation:

502.855133 22

LOC classification:

QA76.73.P98

Annan klassifikation:

Pubbz Python

Innehåll:

Introduction -- Getting Started with Python Scripting -- Basic Python -- Numerical Computing in Python -- Combining Python with Fortran, C, and C++ -- Introduction to GUI Programming -- Web Interfaces and CGI Programming -- Advanced Python -- Fortran Programming with NumPy Arrays -- C and C++ Programming with NumPy Arrays -- More Advanced GUI Programming -- Tools and Examples

Sammanfattning: 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. All the tools and examples in this book are open source codes. This third edition features lots of new material. It is also released after a comprehensive reorganization of the text. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint. The major change between the second and third editions is caused by the new implementation of Numerical Python, now called numpy. The new numpy package encourages a slightly different syntax compared to the old Numeric implementation, which was used in the previous editions. 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 10. The second edition was based on Python version 2.3, while the third edition contains updates for version 2.5. Recent Python features, such as generator expressions (Chapter 8.9.4), Ctypes for interfacing shared libraries in C (Chapter 5.2.2), the with statement (Chapter 3.1.4), and the subprocess module for running external processes (Chapter 3.1.3) have been exemplified to make the reader aware of new tools. Chapter 4.4.4 is new and gives a taste of symbolic mathematics in Python.

Bestånd ( 1 )
Titelanmärkningar ( 4 )

Bestånd
Exemplartyp	Aktuellt bibliotek	Hyllsignatur	Status	Förfallodatum	Streckkod
Bok (Hemlån)	Campus Karlskrona	005.133 Python	Tillgänglig		85001041846

Previous ed.: 2006.

Includes bibliographical references and index.

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. All the tools and examples in this book are open source codes. This third edition features lots of new material. It is also released after a comprehensive reorganization of the text. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint. The major change between the second and third editions is caused by the new implementation of Numerical Python, now called numpy. The new numpy package encourages a slightly different syntax compared to the old Numeric implementation, which was used in the previous editions. 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 10. The second edition was based on Python version 2.3, while the third edition contains updates for version 2.5. Recent Python features, such as generator expressions (Chapter 8.9.4), Ctypes for interfacing shared libraries in C (Chapter 5.2.2), the with statement (Chapter 3.1.4), and the subprocess module for running external processes (Chapter 3.1.3) have been exemplified to make the reader aware of new tools. Chapter 4.4.4 is new and gives a taste of symbolic mathematics in Python.