Python 3 Standard Library by Example, The (Developer's Library) - GracieMcfarland/GracieMcfarlandpdf GitHub Wiki

 

Python 3 Standard Library by Example, The (Developer's Library)



Python 3 Standard Library by Example, The (Developer's Library)






Master the Powerful Python 3 Standard Library through Real Code ExamplesnbspThe Python 3 Standard Library contains hundreds of modules for interacting with the operating system, interpreter, and Internet8213all extensively tested and ready to jump-start application development. Now, Python expert Doug Hellman introduces every major area of the Python 3.x library through concise source code and output examples. Hellman8217s examples fully demonstrate each feature, and are designed for easy learning and reuse.nbspYou8217ll find practical code for working with text, data structures, algorithms, dates/times, math, the file system, persistence, data exchange, compression, archiving, crypto, processes/threads, networking, Internet capabilities, email, developer and language tools, the runtime, packages, and more. Each section fully covers one module, with links to additional resources, making this book an ideal tutorial and reference. nbspThe Python 3 Standard Library by Example introduces Python 3.x8217s new libraries, significant functionality changes, and new layout and naming conventions. Hellmann also provides expert porting guidance for moving code from 2.x PSL modules to their Python 3.x equivalents.nbspCoverage includesManipulating text with string, textwrap, re (regular expressions), and difflibUsing data structures: enum, collections, array, heapq, queue, struct, copy, and moreImplementing algorithms elegantly and concisely with functools, itertools, and contextlibHandling dates/times and advanced mathematical tasksData exchange and persistence, including json, dbm, and sqliteArchiving and data compressionSigning cryptographically and verifying message integrityManaging concurrent operations with processes and threadsUsing application 8220building blocks8221Testing, debugging, compilation, profiling, language, import, and package toolsControlling interaction at runtime with interpreters or the environmentFor both new and experienced Python developers, this guide will introduce whole new worlds of functionality and better, more powerful ways to get the job done.

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