By Brian K. Jones, David Beazley
Publish yr note: First released in 1996
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If you wish support writing courses in Python three, or are looking to replace older Python 2 code, this e-book is simply the price tag. choked with useful recipes written and verified with Python 3.3, this precise cookbook is for knowledgeable Python programmers who are looking to specialise in glossy instruments and idioms.
Inside, you’ll locate entire recipes for greater than a dozen themes, masking the center Python language in addition to projects universal to a large choice of software domain names. every one recipe includes code samples you should use on your tasks instantaneously, in addition to a dialogue approximately how and why the answer works.
Topics include:
• info buildings and Algorithms
• Strings and Text
• Numbers, Dates, and Times
• Iterators and Generators
• records and I/O
• info Encoding and Processing
• Functions
• sessions and Objects
• Metaprogramming
• Modules and Packages
• community and internet Programming
• Concurrency
• application Scripting and approach Administration
• trying out, Debugging, and Exceptions
• C Extensions
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Additional info for Python Cookbook (3rd Edition)
Example text
Step attributes, respectively. step In addition, you can map a slice onto a sequence of a specific size by using its indi ces(size) method. This returns a tuple (start, stop, step) where all values have been suitably limited to fit within bounds (as to avoid IndexError exceptions when indexing). For example: >>> >>> (5, >>> ... 11. 12. Determining the Most Frequently Occurring Items in a Sequence Problem You have a sequence of items, and you’d like to determine the most frequently occurring items in the sequence.
As input, the argument to the substitution callback is a match object, as returned by match() or find(). group() method to extract specific parts of the match. The function should return the replacement text. subn() instead. subn(r'\3-\1-\2', text) >>> newtext 'Today is 2012-11-27. ' >>> n 2 >>> Discussion There isn’t much more to regular expression search and replace than the sub() method shown. The trickiest part is specifying the regular expression pattern—something that’s best left as an exercise to the reader.
Keeping Dictionaries in Order Problem You want to create a dictionary, and you also want to control the order of items when iterating or serializing. 12 | Chapter 1: Data Structures and Algorithms Solution To control the order of items in a dictionary, you can use an OrderedDict from the collections module. It exactly preserves the original insertion order of data when iterating. For example: from collections import OrderedDict d = OrderedDict() d['foo'] = 1 d['bar'] = 2 d['spam'] = 3 d['grok'] = 4 # Outputs "foo 1", "bar 2", "spam 3", "grok 4" for key in d: print(key, d[key]) An OrderedDict can be particularly useful when you want to build a mapping that you may want to later serialize or encode into a different format.