Book Details

Hardcover: 726 pages
Publisher: Springer; 1 edition (September 20, 2004)
Language: English
ISBN-10: 3540435085
ISBN-13: 978-3540435082


The goal of this book is to teach computational scientists and engineers how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in the easy-to-learn, very high-level language Python. The focus is on examples and applications of relevance to computational science: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization; steering simulations and computational experiments; equipping programs with graphical user interfaces; making computational Web services; creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran; and building flexible object-oriented programming interfaces to existing C/C++ or Fortran libraries. In short, scripting with Python makes you much more productive, increases the reliability of your scientific work and lets you have more fun - under Unix, Windows and MacIntosh.



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Book Details

Paperback: 620 pages
Publisher: Manning Publications (March 23, 2006)
Language: English
ISBN-10: 1932394621
ISBN-13: 978-1932394627


Because they are often large and complex, GUI programming tool kits can be hard to use. wxPython is a combination of the Python programming language and the wxWidgets toolkit, which allows programmers to create programs with a robust, highly functional graphical user interface, simply and easily. wxPython combines the power of an exceptionally complete user interface toolkit with an exceptionally flexible programming language. The result is a toolkit that is unique in the ease with which complex applications can be built and maintained.
wxPython in Action is a complete guide to the wxPython toolkit, containing a tutorial for getting started, a guide to best practices, and a reference to wxPython's extensive widget set. After an easy introduction to wxPython concepts and programming practices, the book takes an in-depth tour of when and how to use the bountiful collection of widgets offered by wxPython. All features are illustrated with useful code examples and reference tables are included for handy lookup of an object's properties, methods, and events. The book enables developers to learn wxPython quickly and remains a valuable resource for futurework.


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Product Details


Paperback: 496 pages
Publisher: Sams (December 28, 2001)
Language: English
ISBN-10: 0735711119
ISBN-13: 978-0735711112



Robert Bill's Jython for Java Programmers from New Riders is an essential introduction to the complexities of the merger between two popular object-oriented languages, Python and Java. It is directed toward Java programmers who want to incorporate Python rather than vice versa, but the utter symmetry of merging two object-oriented languages creates an Escheresque problem in perspective. It is like two snakes gobbling each other up.
Let's sort this out historically. When Sun Microsystems' virtual machine (VM) paradigm emerged in the mid-1990s, the high-level programming language Java became the idiom for the new "soft" computer. Java's object-oriented architecture allowed it to scope from the lowest-level OS tasks (reads, writes to disk and screen), but much of the mid- and high-level tools were missing--e.g., common GUI features, text parsing, list sorting. The missing functionality is implemented gradually with nuts-and-bolts Java functions and by porting libraries to Java (GL4Java).

The cascade of "100 percent pure Java" ports has finally led to the gobbling up of the elegant Python scripting language, which is also object-oriented. But that is only half of the story. As Java devours Python, Python also devours Java. In one manifestation, Jython is Python written in Java rather than C. It has its own interpreter "jython" and compiler "jythonc," both of which can draw on all of Java's classes. Conversely, jythonc will create a Java class which can be imported by the Java interpreter "java" and compiler "javac." Java programmers will have the luxury of importing and using succinct Jython classes rather than writing the lines of verbose native Java code.

The bewildering complexities are elucidated by Bill in Jython for Java Programmers, which presents Jython both as a standalone, Java-equipped language and as the class implementation within Java. Its three parts are dedicated to Jython's basics (very similar to a Python tutorial), Jython's internals, and Jython's incorporation into GUI, database, and Web applications. The book follows in the New Riders tradition of exhaustive, implementation-centered publishing. Jython is not a Java foundation class, but Bill's book is a cornerstone in its own right. We also recommend Jython.org to help sort out Jython's big picture. --Peter Leopold


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