624 lines
19 KiB
ReStructuredText
624 lines
19 KiB
ReStructuredText
.. _tut-informal:
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**********************************
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An Informal Introduction to Python
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**********************************
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In the following examples, input and output are distinguished by the presence or
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absence of prompts (``>>>`` and ``...``): to repeat the example, you must type
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everything after the prompt, when the prompt appears; lines that do not begin
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with a prompt are output from the interpreter. Note that a secondary prompt on a
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line by itself in an example means you must type a blank line; this is used to
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end a multi-line command.
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Many of the examples in this manual, even those entered at the interactive
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prompt, include comments. Comments in Python start with the hash character,
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``#``, and extend to the end of the physical line. A comment may appear at the
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start of a line or following whitespace or code, but not within a string
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literal. A hash character within a string literal is just a hash character.
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Since comments are to clarify code and are not interpreted by Python, they may
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be omitted when typing in examples.
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Some examples::
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# this is the first comment
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SPAM = 1 # and this is the second comment
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# ... and now a third!
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STRING = "# This is not a comment."
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.. _tut-calculator:
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Using Python as a Calculator
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============================
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Let's try some simple Python commands. Start the interpreter and wait for the
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primary prompt, ``>>>``. (It shouldn't take long.)
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.. _tut-numbers:
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Numbers
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-------
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The interpreter acts as a simple calculator: you can type an expression at it
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and it will write the value. Expression syntax is straightforward: the
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operators ``+``, ``-``, ``*`` and ``/`` work just like in most other languages
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(for example, Pascal or C); parentheses can be used for grouping. For example::
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>>> 2+2
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4
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>>> # This is a comment
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... 2+2
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4
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>>> 2+2 # and a comment on the same line as code
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4
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>>> (50-5*6)/4
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5.0
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>>> 8/5 # Fractions aren't lost when dividing integers
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1.6
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Note: You might not see exactly the same result; floating point results can
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differ from one machine to another. We will say more later about controlling
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the appearance of floating point output. See also :ref:`tut-fp-issues` for a
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full discussion of some of the subtleties of floating point numbers and their
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representations.
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To do integer division and get an integer result,
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discarding any fractional result, there is another operator, ``//``::
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>>> # Integer division returns the floor:
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... 7//3
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2
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>>> 7//-3
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-3
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The equal sign (``'='``) is used to assign a value to a variable. Afterwards, no
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result is displayed before the next interactive prompt::
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>>> width = 20
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>>> height = 5*9
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>>> width * height
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900
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A value can be assigned to several variables simultaneously::
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>>> x = y = z = 0 # Zero x, y and z
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>>> x
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0
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>>> y
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0
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>>> z
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0
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Variables must be "defined" (assigned a value) before they can be used, or an
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error will occur::
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>>> # try to access an undefined variable
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... n
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'n' is not defined
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There is full support for floating point; operators with mixed type operands
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convert the integer operand to floating point::
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>>> 3 * 3.75 / 1.5
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7.5
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>>> 7.0 / 2
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3.5
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Complex numbers are also supported; imaginary numbers are written with a suffix
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of ``j`` or ``J``. Complex numbers with a nonzero real component are written as
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``(real+imagj)``, or can be created with the ``complex(real, imag)`` function.
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::
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>>> 1j * 1J
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(-1+0j)
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>>> 1j * complex(0, 1)
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(-1+0j)
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>>> 3+1j*3
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(3+3j)
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>>> (3+1j)*3
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(9+3j)
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>>> (1+2j)/(1+1j)
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(1.5+0.5j)
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Complex numbers are always represented as two floating point numbers, the real
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and imaginary part. To extract these parts from a complex number *z*, use
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``z.real`` and ``z.imag``. ::
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>>> a=1.5+0.5j
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>>> a.real
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1.5
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>>> a.imag
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0.5
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The conversion functions to floating point and integer (:func:`float`,
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:func:`int`) don't work for complex numbers --- there is not one correct way to
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convert a complex number to a real number. Use ``abs(z)`` to get its magnitude
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(as a float) or ``z.real`` to get its real part::
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>>> a=3.0+4.0j
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>>> float(a)
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Traceback (most recent call last):
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File "<stdin>", line 1, in ?
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TypeError: can't convert complex to float; use abs(z)
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>>> a.real
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3.0
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>>> a.imag
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4.0
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>>> abs(a) # sqrt(a.real**2 + a.imag**2)
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5.0
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In interactive mode, the last printed expression is assigned to the variable
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``_``. This means that when you are using Python as a desk calculator, it is
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somewhat easier to continue calculations, for example::
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>>> tax = 12.5 / 100
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>>> price = 100.50
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>>> price * tax
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12.5625
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>>> price + _
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113.0625
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>>> round(_, 2)
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113.06
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This variable should be treated as read-only by the user. Don't explicitly
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assign a value to it --- you would create an independent local variable with the
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same name masking the built-in variable with its magic behavior.
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.. _tut-strings:
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Strings
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-------
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Besides numbers, Python can also manipulate strings, which can be expressed in
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several ways. They can be enclosed in single quotes or double quotes::
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>>> 'spam eggs'
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'spam eggs'
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>>> 'doesn\'t'
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"doesn't"
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>>> "doesn't"
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"doesn't"
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>>> '"Yes," he said.'
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'"Yes," he said.'
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>>> "\"Yes,\" he said."
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'"Yes," he said.'
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>>> '"Isn\'t," she said.'
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'"Isn\'t," she said.'
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The interpreter prints the result of string operations in the same way as they
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are typed for input: inside quotes, and with quotes and other funny characters
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escaped by backslashes, to show the precise value. The string is enclosed in
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double quotes if the string contains a single quote and no double quotes, else
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it's enclosed in single quotes. The :func:`print` function produces a more
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readable output for such input strings.
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String literals can span multiple lines in several ways. Continuation lines can
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be used, with a backslash as the last character on the line indicating that the
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next line is a logical continuation of the line::
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hello = "This is a rather long string containing\n\
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several lines of text just as you would do in C.\n\
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Note that whitespace at the beginning of the line is\
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significant."
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print(hello)
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Note that newlines still need to be embedded in the string using ``\n`` -- the
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newline following the trailing backslash is discarded. This example would print
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the following:
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.. code-block:: text
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This is a rather long string containing
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several lines of text just as you would do in C.
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Note that whitespace at the beginning of the line is significant.
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Or, strings can be surrounded in a pair of matching triple-quotes: ``"""`` or
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``'''``. End of lines do not need to be escaped when using triple-quotes, but
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they will be included in the string. So the following uses one escape to
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avoid an unwanted initial blank line. ::
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print("""\
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Usage: thingy [OPTIONS]
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-h Display this usage message
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-H hostname Hostname to connect to
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""")
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produces the following output:
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.. code-block:: text
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Usage: thingy [OPTIONS]
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-h Display this usage message
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-H hostname Hostname to connect to
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If we make the string literal a "raw" string, ``\n`` sequences are not converted
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to newlines, but the backslash at the end of the line, and the newline character
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in the source, are both included in the string as data. Thus, the example::
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hello = r"This is a rather long string containing\n\
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several lines of text much as you would do in C."
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print(hello)
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would print:
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.. code-block:: text
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This is a rather long string containing\n\
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several lines of text much as you would do in C.
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Strings can be concatenated (glued together) with the ``+`` operator, and
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repeated with ``*``::
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>>> word = 'Help' + 'A'
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>>> word
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'HelpA'
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>>> '<' + word*5 + '>'
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'<HelpAHelpAHelpAHelpAHelpA>'
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Two string literals next to each other are automatically concatenated; the first
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line above could also have been written ``word = 'Help' 'A'``; this only works
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with two literals, not with arbitrary string expressions::
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>>> 'str' 'ing' # <- This is ok
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'string'
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>>> 'str'.strip() + 'ing' # <- This is ok
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'string'
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>>> 'str'.strip() 'ing' # <- This is invalid
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File "<stdin>", line 1, in ?
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'str'.strip() 'ing'
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^
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SyntaxError: invalid syntax
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Strings can be subscripted (indexed); like in C, the first character of a string
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has subscript (index) 0. There is no separate character type; a character is
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simply a string of size one. As in the Icon programming language, substrings
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can be specified with the *slice notation*: two indices separated by a colon.
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::
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>>> word[4]
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'A'
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>>> word[0:2]
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'He'
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>>> word[2:4]
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'lp'
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Slice indices have useful defaults; an omitted first index defaults to zero, an
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omitted second index defaults to the size of the string being sliced. ::
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>>> word[:2] # The first two characters
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'He'
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>>> word[2:] # Everything except the first two characters
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'lpA'
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Unlike a C string, Python strings cannot be changed. Assigning to an indexed
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position in the string results in an error::
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>>> word[0] = 'x'
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Traceback (most recent call last):
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File "<stdin>", line 1, in ?
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TypeError: 'str' object does not support item assignment
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>>> word[:1] = 'Splat'
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Traceback (most recent call last):
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File "<stdin>", line 1, in ?
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TypeError: 'str' object does not support slice assignment
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However, creating a new string with the combined content is easy and efficient::
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>>> 'x' + word[1:]
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'xelpA'
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>>> 'Splat' + word[4]
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'SplatA'
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Here's a useful invariant of slice operations: ``s[:i] + s[i:]`` equals ``s``.
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::
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>>> word[:2] + word[2:]
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'HelpA'
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>>> word[:3] + word[3:]
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'HelpA'
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Degenerate slice indices are handled gracefully: an index that is too large is
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replaced by the string size, an upper bound smaller than the lower bound returns
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an empty string. ::
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>>> word[1:100]
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'elpA'
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>>> word[10:]
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''
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>>> word[2:1]
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''
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Indices may be negative numbers, to start counting from the right. For example::
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>>> word[-1] # The last character
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'A'
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>>> word[-2] # The last-but-one character
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'p'
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>>> word[-2:] # The last two characters
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'pA'
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>>> word[:-2] # Everything except the last two characters
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'Hel'
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But note that -0 is really the same as 0, so it does not count from the right!
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::
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>>> word[-0] # (since -0 equals 0)
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'H'
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Out-of-range negative slice indices are truncated, but don't try this for
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single-element (non-slice) indices::
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>>> word[-100:]
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'HelpA'
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>>> word[-10] # error
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Traceback (most recent call last):
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File "<stdin>", line 1, in ?
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IndexError: string index out of range
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One way to remember how slices work is to think of the indices as pointing
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*between* characters, with the left edge of the first character numbered 0.
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Then the right edge of the last character of a string of *n* characters has
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index *n*, for example::
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+---+---+---+---+---+
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| H | e | l | p | A |
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+---+---+---+---+---+
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0 1 2 3 4 5
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-5 -4 -3 -2 -1
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The first row of numbers gives the position of the indices 0...5 in the string;
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the second row gives the corresponding negative indices. The slice from *i* to
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*j* consists of all characters between the edges labeled *i* and *j*,
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respectively.
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For non-negative indices, the length of a slice is the difference of the
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indices, if both are within bounds. For example, the length of ``word[1:3]`` is
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2.
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The built-in function :func:`len` returns the length of a string::
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>>> s = 'supercalifragilisticexpialidocious'
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>>> len(s)
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34
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.. seealso::
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:ref:`typesseq`
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Strings are examples of *sequence types*, and support the common
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operations supported by such types.
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:ref:`string-methods`
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Strings support a large number of methods for
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basic transformations and searching.
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:ref:`string-formatting`
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Information about string formatting with :meth:`str.format` is described
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here.
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:ref:`old-string-formatting`
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The old formatting operations invoked when strings and Unicode strings are
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the left operand of the ``%`` operator are described in more detail here.
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.. _tut-unicodestrings:
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About Unicode
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-------------
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.. sectionauthor:: Marc-André Lemburg <mal@lemburg.com>
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Starting with Python 3.0 all strings support Unicode (see
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http://www.unicode.org/).
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Unicode has the advantage of providing one ordinal for every character in every
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script used in modern and ancient texts. Previously, there were only 256
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possible ordinals for script characters. Texts were typically bound to a code
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page which mapped the ordinals to script characters. This lead to very much
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confusion especially with respect to internationalization (usually written as
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``i18n`` --- ``'i'`` + 18 characters + ``'n'``) of software. Unicode solves
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these problems by defining one code page for all scripts.
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If you want to include special characters in a string,
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you can do so by using the Python *Unicode-Escape* encoding. The following
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example shows how::
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>>> 'Hello\u0020World !'
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'Hello World !'
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The escape sequence ``\u0020`` indicates to insert the Unicode character with
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the ordinal value 0x0020 (the space character) at the given position.
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Other characters are interpreted by using their respective ordinal values
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directly as Unicode ordinals. If you have literal strings in the standard
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Latin-1 encoding that is used in many Western countries, you will find it
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convenient that the lower 256 characters of Unicode are the same as the 256
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characters of Latin-1.
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Apart from these standard encodings, Python provides a whole set of other ways
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of creating Unicode strings on the basis of a known encoding.
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To convert a string into a sequence of bytes using a specific encoding,
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string objects provide an :func:`encode` method that takes one argument, the
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name of the encoding. Lowercase names for encodings are preferred. ::
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>>> "Äpfel".encode('utf-8')
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b'\xc3\x84pfel'
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.. _tut-lists:
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Lists
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-----
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Python knows a number of *compound* data types, used to group together other
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values. The most versatile is the *list*, which can be written as a list of
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comma-separated values (items) between square brackets. List items need not all
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have the same type. ::
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>>> a = ['spam', 'eggs', 100, 1234]
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>>> a
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['spam', 'eggs', 100, 1234]
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Like string indices, list indices start at 0, and lists can be sliced,
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concatenated and so on::
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>>> a[0]
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'spam'
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>>> a[3]
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1234
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>>> a[-2]
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100
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>>> a[1:-1]
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['eggs', 100]
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>>> a[:2] + ['bacon', 2*2]
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['spam', 'eggs', 'bacon', 4]
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>>> 3*a[:3] + ['Boo!']
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['spam', 'eggs', 100, 'spam', 'eggs', 100, 'spam', 'eggs', 100, 'Boo!']
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All slice operations return a new list containing the requested elements. This
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means that the following slice returns a shallow copy of the list *a*::
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>>> a[:]
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['spam', 'eggs', 100, 1234]
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Unlike strings, which are *immutable*, it is possible to change individual
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elements of a list::
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>>> a
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['spam', 'eggs', 100, 1234]
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>>> a[2] = a[2] + 23
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>>> a
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['spam', 'eggs', 123, 1234]
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Assignment to slices is also possible, and this can even change the size of the
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list or clear it entirely::
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>>> # Replace some items:
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... a[0:2] = [1, 12]
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>>> a
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[1, 12, 123, 1234]
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>>> # Remove some:
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... a[0:2] = []
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>>> a
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[123, 1234]
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>>> # Insert some:
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... a[1:1] = ['bletch', 'xyzzy']
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>>> a
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[123, 'bletch', 'xyzzy', 1234]
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>>> # Insert (a copy of) itself at the beginning
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>>> a[:0] = a
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>>> a
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[123, 'bletch', 'xyzzy', 1234, 123, 'bletch', 'xyzzy', 1234]
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>>> # Clear the list: replace all items with an empty list
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>>> a[:] = []
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>>> a
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[]
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The built-in function :func:`len` also applies to lists::
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>>> a = ['a', 'b', 'c', 'd']
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>>> len(a)
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4
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It is possible to nest lists (create lists containing other lists), for
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example::
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>>> q = [2, 3]
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>>> p = [1, q, 4]
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>>> len(p)
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3
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>>> p[1]
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[2, 3]
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>>> p[1][0]
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2
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You can add something to the end of the list::
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>>> p[1].append('xtra')
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>>> p
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[1, [2, 3, 'xtra'], 4]
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>>> q
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[2, 3, 'xtra']
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Note that in the last example, ``p[1]`` and ``q`` really refer to the same
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object! We'll come back to *object semantics* later.
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|
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.. _tut-firststeps:
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|
|
First Steps Towards Programming
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|
===============================
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|
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Of course, we can use Python for more complicated tasks than adding two and two
|
|
together. For instance, we can write an initial sub-sequence of the *Fibonacci*
|
|
series as follows::
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|
|
>>> # Fibonacci series:
|
|
... # the sum of two elements defines the next
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|
... a, b = 0, 1
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|
>>> while b < 10:
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|
... print(b)
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|
... a, b = b, a+b
|
|
...
|
|
1
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|
1
|
|
2
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|
3
|
|
5
|
|
8
|
|
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|
This example introduces several new features.
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|
|
|
* The first line contains a *multiple assignment*: the variables ``a`` and ``b``
|
|
simultaneously get the new values 0 and 1. On the last line this is used again,
|
|
demonstrating that the expressions on the right-hand side are all evaluated
|
|
first before any of the assignments take place. The right-hand side expressions
|
|
are evaluated from the left to the right.
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|
|
|
* The :keyword:`while` loop executes as long as the condition (here: ``b < 10``)
|
|
remains true. In Python, like in C, any non-zero integer value is true; zero is
|
|
false. The condition may also be a string or list value, in fact any sequence;
|
|
anything with a non-zero length is true, empty sequences are false. The test
|
|
used in the example is a simple comparison. The standard comparison operators
|
|
are written the same as in C: ``<`` (less than), ``>`` (greater than), ``==``
|
|
(equal to), ``<=`` (less than or equal to), ``>=`` (greater than or equal to)
|
|
and ``!=`` (not equal to).
|
|
|
|
* The *body* of the loop is *indented*: indentation is Python's way of grouping
|
|
statements. At the interactive prompt, you have to type a tab or space(s) for
|
|
each indented line. In practice you will prepare more complicated input
|
|
for Python with a text editor; all decent text editors have an auto-indent
|
|
facility. When a compound statement is entered interactively, it must be
|
|
followed by a blank line to indicate completion (since the parser cannot
|
|
guess when you have typed the last line). Note that each line within a basic
|
|
block must be indented by the same amount.
|
|
|
|
* The :func:`print` function writes the value of the expression(s) it is
|
|
given. It differs from just writing the expression you want to write (as we did
|
|
earlier in the calculator examples) in the way it handles multiple
|
|
expressions, floating point quantities,
|
|
and strings. Strings are printed without quotes, and a space is inserted
|
|
between items, so you can format things nicely, like this::
|
|
|
|
>>> i = 256*256
|
|
>>> print('The value of i is', i)
|
|
The value of i is 65536
|
|
|
|
The keyword *end* can be used to avoid the newline after the output, or end
|
|
the output with a different string::
|
|
|
|
>>> a, b = 0, 1
|
|
>>> while b < 1000:
|
|
... print(b, end=',')
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|
... a, b = b, a+b
|
|
...
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|
1,1,2,3,5,8,13,21,34,55,89,144,233,377,610,987,
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