本文深入探讨了Python编程中常用的技术模块，包括文件操作、命令行参数、字符串匹配、数学运算、互联网应用、日期时间处理、数据压缩、性能测量、远程过程调用、电子邮件、XML处理、本地数据库、国际化、输出格式化、模板使用、二进制数据记录布局、多线程、日志记录、弱引用、列表相关操作、十进制浮点数运算等。
1. OS
1.1 import os
1.2 import shutil
2. File wildcards
2.1 import glob
3. Command line arguments
3.1 import sys
3.2 sys.stderr and sys.exit() are also useful
4. String Pattern Matching
4.1 import re
5. Mathematics
5.1 import math
5.2 import random
6. Internet
6.1 import urllib.request
6.2 import smtplib
6.3 import poplib
7. Date & Time
7.1 from datetime import date
7.2 import time
8. Data Compression
8.1 import zlib
9. Performance Measurement
9.1 from timeit import Timer
10. QA
10.1 import doctest
10.2 import unittest
11. RPC
11.1 xmlrpc.client
11.2 xmlrpc.server
12. Email
12.1 import email
13. XML
13.1 xml.dom
13.2 xml.sax
14. Local database
14.1 import csv
15. Internationalization
15.1 import gettext
15.2 import locale
15.3 import codecs
16. Output Formating
16.1 import reprlib
16.2 import pprint
16.3 import textwrap
16.4 import locale
17. Templating
17.1 from string import Template
18. Binary Data Record Layout
18.1 import struct
19. Multi-threading
19.1 import threading
20. Logging
20.1 import logging
21. Weak Reference
21.1 import weekref
21.1.1 The weakref module provides tools for tracking objects without creating a reference. When the object is no longer needed, it is automatically removed from a weakref table and a callback is triggered for weakref objects. Typical applications include caching objects that are expensive to create
22. List Related
22.1 from array import array
22.2 from collections import deque
22.3 import bisect
22.4 from heapq import heapify, heappop, heappush
23. Decimal Floating Point Arithmetic
23.1 from decimal import *
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