By Mark Lutz
Up-to-date for either Python 3.4 and 2.7, this handy pocket consultant is the appropriate on-the-job speedy reference. You'll locate concise, need-to-know details on Python varieties and statements, certain technique names, integrated features and exceptions, standard normal library modules, and different well known Python instruments. The convenient index allows you to pinpoint precisely what you need.
Written by way of Mark Lutz—widely famous because the world's best Python trainer—Python Pocket Reference is a perfect better half to O'Reilly's vintage Python tutorials, Learning Python and Programming Python, additionally written via Mark.
This 5th variation covers:
• integrated item forms, together with numbers, lists, dictionaries, and more
• Statements and syntax for growing and processing objects
• services and modules for structuring and reusing code
• Python's object-oriented programming tools
• integrated capabilities, exceptions, and attributes
• exact operator overloading methods
• wide-spread average library modules and extensions
• Command-line suggestions and improvement tools
• Python idioms and hints
• The Python SQL Database API
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Extra resources for Python Pocket Reference (5th Edition)
To a text such as the following: English "Hello", Spanish "Hola". We may expect that it matches "Hello" and "Hola" but it will actually match "Hello", Spanish "Hola". This behavior is called greedy and is one of the two possible behaviors of the quantifiers in Python: greedy and non-greedy (also known as reluctant). • The greedy behavior of the quantifiers is applied by default in the quantifiers. A greedy quantifier will try to match as much as possible to have the biggest match result possible.
To do so, we will see the quirks of the language when dealing with regular expressions, the different types of strings, the API it offers through the RegexObject and MatchObject classes, every operation that we can do with them in depth with many examples, as well as some problems generally faced by users. Lastly, we will see the small nuances and differences between Python and other regex engines and between Python 2 and Python 3. 5, Python provides a Perl-style regular expression with some subtle exceptions that we will see later.
Let's continue with the object we get after a match. [ 38 ] Chapter 2 MatchObject This object represents the matched pattern; you will get one every time you execute one of these operations: • match • search • finditer This object provides us with a set of operations for working with the captured groups, getting information about the position of the match, and so on. Let's see the most important operations. group([group1, …]) The group operation gives you the subgroups of the match. If it's invoked with no arguments or zero, it will return the entire match; while if one or more group identifiers are passed, the corresponding groups' matches will be returned.
Python Pocket Reference (5th Edition) by Mark Lutz