Python: Visual QuickStart Guid
Fehily, Chris
Sold by World of Books (was SecondSale), Montgomery, IL, U.S.A.
AbeBooks Seller since December 20, 2007
Used - Soft cover
Condition: Used - Good
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by World of Books (was SecondSale), Montgomery, IL, U.S.A.
AbeBooks Seller since December 20, 2007
Condition: Used - Good
Quantity: 1 available
Add to basketItem in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc.
Seller Inventory # 00108022457
Named after the Monty Python comedy troupe, Python is an interpreted, open-source, object-oriented programming language. It's also free and runs portably on Windows, Mac OS, Unix, and other operating systems. Python can be used for all manner of programming tasks, from CGI scripts to full-fledged applications. It is gaining popularity among programmers in part because it is easier to read (and hence, debug) than most other programming languages, and it's generally simpler to install, learn, and use. Its line structure forces consistent indentation. Its syntax and semantics make it suitable for simple scripts and large programs. Its flexible data structures and dynamic typing allow you to get a lot done in a few lines. To learn it, you'll need is some basic programming experience and a copy of Python: Visual QuickStart Guide.
In patented Visual QuickStart Guide fashion, the book doesn't just tell you how to use Python to develop applications, it shows you, breaking Python into easy-to-digest, step-by-step tasks and providing example code. Python: Visual QuickStart Guide emphasizes the core language and libraries, which are the building blocks for programs. Author Chris Fehily starts with the basics - expressions, statements, numbers, strings - then moves on to lists, dictionaries, functions, and modules before wrapping things up with straightforward discussions of exceptions and classes. Some additional topics covered include:- Object-oriented programming- Working in multiple operating systems- Structuring large programs- Comparing Python to C, Perl, and Java- Handling errors gracefully.
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