By Mark Lutz
Up to date for either Python 3.4 and 2.7, this useful pocket advisor is the best on-the-job quickly reference. You'll locate concise, need-to-know info on Python varieties and statements, specified approach names, integrated services and exceptions, conventional typical library modules, and different popular Python instruments. The convenient index helps you to pinpoint precisely what you need.
Written through Mark Lutz—widely well-known because the world's major Python trainer—Python Pocket Reference is a perfect better half to O'Reilly's vintage Python tutorials, Learning Python and Programming Python, additionally written by means of Mark.
This 5th variation covers:
• integrated item kinds, together with numbers, lists, dictionaries, and more
• Statements and syntax for growing and processing objects
• capabilities and modules for structuring and reusing code
• Python's object-oriented programming tools
• integrated capabilities, exceptions, and attributes
• precise operator overloading methods
• well-known commonplace library modules and extensions
• Command-line techniques and improvement tools
• Python idioms and hints
• The Python SQL Database API
Read Online or Download Python Pocket Reference (5th Edition) PDF
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With the set() function, the duplicates are eliminated and a set object is returned. split() method return a list and we will pass it to a set function to get the set objects. Let's now calculate the similarity score between two sentences using Jaccard's coefficient. We will see in detail about Jaccard's coefficient and similar other measures in the similarity measures section in a later chapter. We will leverage the union() and intersection() functions available with the sets to calculate the similarity score.