Mercurial > cpython-lru_cache-weakref
annotate Doc/tutorial/stdlib.rst @ 49955:878d40468c4e legacy-trunk
Issue #4384: Added logging integration with warnings module using captureWarnings(). This change includes a NullHandler which does nothing; it will be of use to library developers who want to avoid the "No handlers could be found for logger XXX" message which can appear if the library user doesn't configure logging.
| author | Vinay Sajip <vinay_sajip@yahoo.co.uk> |
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| date | Wed, 03 Dec 2008 23:22:58 +0000 |
| parents | 6f4922803411 |
| children | ee9ced92843a |
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1 .. _tut-brieftour: |
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2 |
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3 ********************************** |
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4 Brief Tour of the Standard Library |
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5 ********************************** |
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6 |
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7 |
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8 .. _tut-os-interface: |
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9 |
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10 Operating System Interface |
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11 ========================== |
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12 |
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13 The :mod:`os` module provides dozens of functions for interacting with the |
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14 operating system:: |
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15 |
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16 >>> import os |
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17 >>> os.system('time 0:02') |
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18 0 |
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19 >>> os.getcwd() # Return the current working directory |
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20 'C:\\Python26' |
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21 >>> os.chdir('/server/accesslogs') |
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22 |
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23 Be sure to use the ``import os`` style instead of ``from os import *``. This |
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24 will keep :func:`os.open` from shadowing the builtin :func:`open` function which |
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25 operates much differently. |
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26 |
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27 .. index:: builtin: help |
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28 |
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29 The builtin :func:`dir` and :func:`help` functions are useful as interactive |
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30 aids for working with large modules like :mod:`os`:: |
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31 |
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32 >>> import os |
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33 >>> dir(os) |
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34 <returns a list of all module functions> |
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35 >>> help(os) |
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36 <returns an extensive manual page created from the module's docstrings> |
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37 |
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38 For daily file and directory management tasks, the :mod:`shutil` module provides |
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39 a higher level interface that is easier to use:: |
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40 |
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41 >>> import shutil |
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42 >>> shutil.copyfile('data.db', 'archive.db') |
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43 >>> shutil.move('/build/executables', 'installdir') |
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44 |
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45 |
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46 .. _tut-file-wildcards: |
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47 |
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48 File Wildcards |
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49 ============== |
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50 |
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51 The :mod:`glob` module provides a function for making file lists from directory |
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52 wildcard searches:: |
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53 |
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54 >>> import glob |
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55 >>> glob.glob('*.py') |
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56 ['primes.py', 'random.py', 'quote.py'] |
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57 |
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58 |
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59 .. _tut-command-line-arguments: |
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60 |
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61 Command Line Arguments |
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62 ====================== |
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63 |
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64 Common utility scripts often need to process command line arguments. These |
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65 arguments are stored in the :mod:`sys` module's *argv* attribute as a list. For |
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66 instance the following output results from running ``python demo.py one two |
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67 three`` at the command line:: |
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68 |
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69 >>> import sys |
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70 >>> print sys.argv |
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71 ['demo.py', 'one', 'two', 'three'] |
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72 |
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73 The :mod:`getopt` module processes *sys.argv* using the conventions of the Unix |
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74 :func:`getopt` function. More powerful and flexible command line processing is |
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75 provided by the :mod:`optparse` module. |
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76 |
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77 |
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78 .. _tut-stderr: |
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79 |
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80 Error Output Redirection and Program Termination |
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81 ================================================ |
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82 |
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83 The :mod:`sys` module also has attributes for *stdin*, *stdout*, and *stderr*. |
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84 The latter is useful for emitting warnings and error messages to make them |
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85 visible even when *stdout* has been redirected:: |
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86 |
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87 >>> sys.stderr.write('Warning, log file not found starting a new one\n') |
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88 Warning, log file not found starting a new one |
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89 |
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90 The most direct way to terminate a script is to use ``sys.exit()``. |
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91 |
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92 |
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93 .. _tut-string-pattern-matching: |
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94 |
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95 String Pattern Matching |
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96 ======================= |
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97 |
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98 The :mod:`re` module provides regular expression tools for advanced string |
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99 processing. For complex matching and manipulation, regular expressions offer |
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100 succinct, optimized solutions:: |
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101 |
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102 >>> import re |
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103 >>> re.findall(r'\bf[a-z]*', 'which foot or hand fell fastest') |
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104 ['foot', 'fell', 'fastest'] |
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105 >>> re.sub(r'(\b[a-z]+) \1', r'\1', 'cat in the the hat') |
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106 'cat in the hat' |
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107 |
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108 When only simple capabilities are needed, string methods are preferred because |
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109 they are easier to read and debug:: |
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110 |
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111 >>> 'tea for too'.replace('too', 'two') |
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112 'tea for two' |
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113 |
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114 |
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115 .. _tut-mathematics: |
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116 |
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117 Mathematics |
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118 =========== |
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119 |
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120 The :mod:`math` module gives access to the underlying C library functions for |
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121 floating point math:: |
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122 |
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123 >>> import math |
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124 >>> math.cos(math.pi / 4.0) |
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125 0.70710678118654757 |
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126 >>> math.log(1024, 2) |
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127 10.0 |
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128 |
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129 The :mod:`random` module provides tools for making random selections:: |
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130 |
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131 >>> import random |
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132 >>> random.choice(['apple', 'pear', 'banana']) |
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133 'apple' |
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134 >>> random.sample(xrange(100), 10) # sampling without replacement |
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135 [30, 83, 16, 4, 8, 81, 41, 50, 18, 33] |
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136 >>> random.random() # random float |
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137 0.17970987693706186 |
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138 >>> random.randrange(6) # random integer chosen from range(6) |
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139 4 |
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140 |
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141 |
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142 .. _tut-internet-access: |
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143 |
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144 Internet Access |
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145 =============== |
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146 |
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147 There are a number of modules for accessing the internet and processing internet |
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148 protocols. Two of the simplest are :mod:`urllib2` for retrieving data from urls |
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149 and :mod:`smtplib` for sending mail:: |
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150 |
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151 >>> import urllib2 |
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152 >>> for line in urllib2.urlopen('http://tycho.usno.navy.mil/cgi-bin/timer.pl'): |
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153 ... if 'EST' in line or 'EDT' in line: # look for Eastern Time |
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154 ... print line |
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155 |
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156 <BR>Nov. 25, 09:43:32 PM EST |
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157 |
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158 >>> import smtplib |
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159 >>> server = smtplib.SMTP('localhost') |
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160 >>> server.sendmail('soothsayer@example.org', 'jcaesar@example.org', |
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161 ... """To: jcaesar@example.org |
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162 ... From: soothsayer@example.org |
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163 ... |
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164 ... Beware the Ides of March. |
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165 ... """) |
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166 >>> server.quit() |
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167 |
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168 (Note that the second example needs a mailserver running on localhost.) |
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169 |
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170 |
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171 .. _tut-dates-and-times: |
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172 |
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173 Dates and Times |
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174 =============== |
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175 |
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176 The :mod:`datetime` module supplies classes for manipulating dates and times in |
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177 both simple and complex ways. While date and time arithmetic is supported, the |
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178 focus of the implementation is on efficient member extraction for output |
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179 formatting and manipulation. The module also supports objects that are timezone |
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180 aware. :: |
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181 |
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182 # dates are easily constructed and formatted |
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183 >>> from datetime import date |
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184 >>> now = date.today() |
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185 >>> now |
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186 datetime.date(2003, 12, 2) |
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187 >>> now.strftime("%m-%d-%y. %d %b %Y is a %A on the %d day of %B.") |
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188 '12-02-03. 02 Dec 2003 is a Tuesday on the 02 day of December.' |
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189 |
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190 # dates support calendar arithmetic |
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191 >>> birthday = date(1964, 7, 31) |
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192 >>> age = now - birthday |
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193 >>> age.days |
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194 14368 |
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195 |
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196 |
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197 .. _tut-data-compression: |
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198 |
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199 Data Compression |
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200 ================ |
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201 |
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202 Common data archiving and compression formats are directly supported by modules |
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203 including: :mod:`zlib`, :mod:`gzip`, :mod:`bz2`, :mod:`zipfile` and |
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204 :mod:`tarfile`. :: |
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205 |
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206 >>> import zlib |
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207 >>> s = 'witch which has which witches wrist watch' |
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208 >>> len(s) |
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209 41 |
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210 >>> t = zlib.compress(s) |
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211 >>> len(t) |
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212 37 |
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213 >>> zlib.decompress(t) |
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214 'witch which has which witches wrist watch' |
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215 >>> zlib.crc32(s) |
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216 226805979 |
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217 |
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218 |
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219 .. _tut-performance-measurement: |
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220 |
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221 Performance Measurement |
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222 ======================= |
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223 |
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224 Some Python users develop a deep interest in knowing the relative performance of |
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225 different approaches to the same problem. Python provides a measurement tool |
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226 that answers those questions immediately. |
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227 |
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228 For example, it may be tempting to use the tuple packing and unpacking feature |
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229 instead of the traditional approach to swapping arguments. The :mod:`timeit` |
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230 module quickly demonstrates a modest performance advantage:: |
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231 |
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232 >>> from timeit import Timer |
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233 >>> Timer('t=a; a=b; b=t', 'a=1; b=2').timeit() |
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234 0.57535828626024577 |
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235 >>> Timer('a,b = b,a', 'a=1; b=2').timeit() |
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236 0.54962537085770791 |
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237 |
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238 In contrast to :mod:`timeit`'s fine level of granularity, the :mod:`profile` and |
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239 :mod:`pstats` modules provide tools for identifying time critical sections in |
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240 larger blocks of code. |
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241 |
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242 |
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243 .. _tut-quality-control: |
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244 |
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245 Quality Control |
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246 =============== |
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247 |
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248 One approach for developing high quality software is to write tests for each |
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249 function as it is developed and to run those tests frequently during the |
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250 development process. |
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251 |
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252 The :mod:`doctest` module provides a tool for scanning a module and validating |
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253 tests embedded in a program's docstrings. Test construction is as simple as |
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254 cutting-and-pasting a typical call along with its results into the docstring. |
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255 This improves the documentation by providing the user with an example and it |
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256 allows the doctest module to make sure the code remains true to the |
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257 documentation:: |
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258 |
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259 def average(values): |
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260 """Computes the arithmetic mean of a list of numbers. |
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261 |
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262 >>> print average([20, 30, 70]) |
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263 40.0 |
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264 """ |
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265 return sum(values, 0.0) / len(values) |
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266 |
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267 import doctest |
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268 doctest.testmod() # automatically validate the embedded tests |
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269 |
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270 The :mod:`unittest` module is not as effortless as the :mod:`doctest` module, |
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271 but it allows a more comprehensive set of tests to be maintained in a separate |
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272 file:: |
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273 |
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274 import unittest |
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275 |
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276 class TestStatisticalFunctions(unittest.TestCase): |
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277 |
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278 def test_average(self): |
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279 self.assertEqual(average([20, 30, 70]), 40.0) |
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280 self.assertEqual(round(average([1, 5, 7]), 1), 4.3) |
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281 self.assertRaises(ZeroDivisionError, average, []) |
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282 self.assertRaises(TypeError, average, 20, 30, 70) |
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283 |
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284 unittest.main() # Calling from the command line invokes all tests |
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285 |
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286 |
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287 .. _tut-batteries-included: |
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288 |
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289 Batteries Included |
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290 ================== |
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291 |
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292 Python has a "batteries included" philosophy. This is best seen through the |
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293 sophisticated and robust capabilities of its larger packages. For example: |
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294 |
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295 * The :mod:`xmlrpclib` and :mod:`SimpleXMLRPCServer` modules make implementing |
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296 remote procedure calls into an almost trivial task. Despite the modules |
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297 names, no direct knowledge or handling of XML is needed. |
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298 |
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299 * The :mod:`email` package is a library for managing email messages, including |
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300 MIME and other RFC 2822-based message documents. Unlike :mod:`smtplib` and |
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301 :mod:`poplib` which actually send and receive messages, the email package has |
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302 a complete toolset for building or decoding complex message structures |
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303 (including attachments) and for implementing internet encoding and header |
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304 protocols. |
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305 |
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306 * The :mod:`xml.dom` and :mod:`xml.sax` packages provide robust support for |
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307 parsing this popular data interchange format. Likewise, the :mod:`csv` module |
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308 supports direct reads and writes in a common database format. Together, these |
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309 modules and packages greatly simplify data interchange between python |
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310 applications and other tools. |
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311 |
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312 * Internationalization is supported by a number of modules including |
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313 :mod:`gettext`, :mod:`locale`, and the :mod:`codecs` package. |
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314 |
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315 |
