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Some book contents to expect

• The motw Command Line Interface
• Using PyMOTW with the Interactive Interpreter
• Translations and Other Versions
• Other Contributors
• Copyright and Licensing
• Features of the Standard Library
• Data Persistence and Exchange
• In-Memory Data Structures
• File Access
• Text Processing Tools
• Built-in Objects
• exceptions – Built-in error classes
• String Services
• codecs – String encoding and decoding
• difflib – Compare sequences
• string – Working with text
• StringIO and cStringIO – Work with text buffers using file-like API
• re – Regular Expressions
• struct – Working with Binary Data
• textwrap – Formatting text paragraphs
• Data Types
• array – Sequence of fixed-type data
• datetime – Date/time value manipulation
• calendar – Work with dates
• collections – Container data types
• heapq – In-place heap sort algorithm
• bisect – Maintain lists in sorted order
• sched – Generic event scheduler.
• Queue – A thread-safe FIFO implementation
• weakref – Garbage-collectable references to objects
• copy – Duplicate objects
• pprint – Pretty-print data structures
• Numeric and Mathematical Modules
• decimal – Fixed and floating point math
• fractions – Rational Numbers
• functools – Tools for Manipulating Functions
• itertools – Iterator functions for efficient looping
• math – Mathematical functions
• operator – Functional interface to built-in operators
• random – Pseudorandom number generators
• Internet Data Handling
• base64 – Encode binary data into ASCII characters
• json – JavaScript Object Notation Serializer
• mailbox – Access and manipulate email archives
• mhlib – Work with MH mailboxes
• File Formats
• csv – Comma-separated value files
• ConfigParser – Work with configuration files
• robotparser – Internet spider access control
• Cryptographic Services
• hashlib – Cryptographic hashes and message digests
• hmac – Cryptographic signature and verification of messages.
• File and Directory Access
• os.path – Platform-independent manipulation of file names.
• fileinput – Process lines from input streams
• filecmp – Compare files
• tempfile – Create temporary filesystem resources.
• glob – Filename pattern matching
• fnmatch – Compare filenames against Unix-style glob patterns.
• linecache – Read text files efficiently
• shutil – High-level file operations.
• dircache – Cache directory listings
• Data Compression and Archiving
• bz2 – bzip2 compression
• gzip – Read and write GNU zip files
• tarfile – Tar archive access
• zipfile – Read and write ZIP archive files
• zlib – Low-level access to GNU zlib compression library
• Data Persistence
• anydbm – Access to DBM-style databases
• dbhash – DBM-style API for the BSD database library
• dbm – Simple database interface
• dumbdbm – Portable DBM Implementation
• gdbm – GNU’s version of the dbm library
• pickle and cPickle – Python object serialization
• shelve – Persistent storage of arbitrary Python objects
• whichdb – Identify DBM-style database formats
• sqlite3 – Embedded Relational Database
• Generic Operating System Services
• os – Portable access to operating system specific features.
• time – Functions for manipulating clock time
• getopt – Command line option parsing
• optparse – Command line option parser to replace getopt.
• argparse – Command line option and argument parsing.
• logging – Report status, error, and informational messages.
• getpass – Prompt the user for a password without echoing.
• platform – Access system version information

Book Description

Ever wondered how to make the most out of Python’s built-in modules? Python Module of the Week (2.x) is like that friend who always knows the right tool for every job. It covers all the must-know modules in Python 2.x, complete with examples that actually make sense. It’s not just a dry manualit’s a treasure chest for coders who want to get things done faster.

Book Overview

This book isn’t your average Python reference. Instead of dumping code at you, it walks you through each module with real-world scenarios. You’ll find everything from file operations to networking, all explained in plain English. There’s humor sprinkled throughoutbecause let’s face it, coding can use a little fun! If you’ve ever found yourself lost in documentation rabbit holes, this book’s your shortcut out. Plus, if you’re curious about broader approaches to learning Python, check out how different Python coding techniques are introduced in other guides to see how this book stands apart.

Why Read This Book

You might ask, “Why should I bother with the standard library?” Well, because it saves you time! The modules covered here are the building blocks of every great Python project. Mastering them means fewer headaches and more “aha!” moments. If you’re tired of reinventing the wheel or just want to impress your teammates with clever solutions, this book is for you. Besides, who doesn’t love discovering shortcuts? For those eager to dig even deeper into best practices and idioms, there’s always a whole world of Python idioms waiting for you.

Who This Book Is For

If you’re a beginner hoping to get comfortable with Python 2.x or an experienced developer wanting a refresher on standard modules, you’ll find value here. Teachers, students, hobbyistshonestly, anyone who’s ever googled “how do I use this module?” will appreciate this guide. You don’t need to be a genius; just bring your curiosity and maybe a cup of coffee.

What You Will Learn

• The ins and outs of essential Python 2.x modules
• How to handle files, dates, and text like a pro
• Networking basics with real code examples
• Troubleshooting tips that save hours
• Writing cleaner, more efficient scripts
• Best practices for using built-in libraries
• Fun tricks that make coding less boring

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