Download Programming in Python 3: A Complete Introduction to the by Mark Summerfield PDF

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By Mark Summerfield

A absolutely Revised variation that includes New fabric on Coroutines, Debugging, checking out, Parsing, String Formatting, and More

 

Python three is the easiest model of the language but: it's extra robust, handy, constant, and expressive than ever ahead of. Now, major Python programmer Mark Summerfield demonstrates how one can write code that takes complete good thing about Python 3's positive aspects and idioms. Programming in Python three, moment version, brings jointly all of the wisdom you must write any software, use any average or third-party Python three library, and create new library modules of your own.

 

Summerfield attracts on his a long time of Python event to proportion deep insights into Python three improvement you won't locate at any place else. He starts by way of illuminating Python's "beautiful heart": the 8 key parts of Python you want to write powerful, high-performance courses. development on those middle parts, he introduces new themes designed to bolster your useful expertise-one notion and hands-on instance at a time. insurance includes
* constructing in Python utilizing procedural, objectoriented, and practical programming paradigms
* developing customized programs and modules
* Writing and examining binary, textual content, and XML documents, together with not obligatory compression, random entry, and textual content and XML parsing
* Leveraging complex facts varieties, collections, keep watch over constructions, and services
* Spreading software workloads throughout a number of strategies and threads
* Programming SQL databases and key--value DBM records
* Debugging techniques-and utilizing try out pushed improvement to prevent insects within the first position
* using Python's normal expression mini-language and module
* Parsing thoughts, together with the way to use the third-party PyParsing and PLY modules
* development usable, effective, GUI-based purposes
* complex programming innovations, together with turbines, functionality and sophistication decorators, context managers, descriptors, summary base periods, metaclasses, coroutines, and more

 

Programming in Python three, moment version, serves as either educational and language reference. It assumes a few previous programming adventure, and is followed through large downloadable instance code-all of it demonstrated with Python three on home windows, Linux, and Mac OS X. This variation covers Python 3.0 and 3.1, and thanks to the Python language moratorium it's also legitimate for Python 3.2 which has an analogous language as Python 3.1.

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Additional info for Programming in Python 3: A Complete Introduction to the Python Language (2nd Edition)

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Tuples are immutable, so once they are created we cannot change them. Lists are mutable, so we can easily insert items and remove items whenever we want. Tuples are created using commas (,), as these examples show—and note that here, and from now on, we don’t use bold to distinguish what you type: >>> "Denmark", "Finland", "Norway", "Sweden" ('Denmark', 'Finland', 'Norway', 'Sweden') From the Library of STEPHEN EISEMAN Python’s “Beautiful Heart” 19 >>> "one", ('one',) When Python outputs a tuple it encloses it in parentheses.

It also has the additional virtue of evaluating the data item only once (since it appears once only in the expression), something that could make a From the Library of STEPHEN EISEMAN 24 Chapter 1. Rapid Introduction to Procedural Programming difference if computing the data item’s value is expensive, or if accessing the data item causes side effects. Thanks to the “strong” aspect of Python’s dynamic typing, comparisons that don’t make sense will cause an exception to be raised. For example: >>> "three" < 4 Traceback (most recent call last): ...

If we need an integer result, we can always convert using int() (or use the truncating division operator //, discussed later). >>> >>> 5 >>> >>> 13 Numeric operators and functions ➤ 55 a = 5 a a += 8 a At first sight the preceding statements are unsurprising, particularly to those familiar with C-like languages. In such languages, augmented assignment is shorthand for assigning the results of an operation—for example, a += 8 is essentially the same as a = a + 8. However, there are two important subtleties here, one Python-specific and one to do with augmented operators in any language.

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