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authorGuido van Rossum <guido@python.org>1992-01-07 16:44:35 (GMT)
committerGuido van Rossum <guido@python.org>1992-01-07 16:44:35 (GMT)
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tree6f15d619c83d09e2f029f1e440c80c80b7bdd1ec /Doc/tut/tut.tex
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Cosmetic changes; added more subsections to chapter 2; new syntax (==).
Diffstat (limited to 'Doc/tut/tut.tex')
-rw-r--r--Doc/tut/tut.tex478
1 files changed, 357 insertions, 121 deletions
diff --git a/Doc/tut/tut.tex b/Doc/tut/tut.tex
index 889274f..178bd5c 100644
--- a/Doc/tut/tut.tex
+++ b/Doc/tut/tut.tex
@@ -77,17 +77,17 @@ being a {\em very-high-level language}, it has high-level data types
built in, such as flexible arrays and dictionaries that would cost you
days to implement efficiently in C. Because of its more general data
types Python is applicable to a much larger problem domain than {\em
-Awk} or even {\em Perl}, yet most simple things are at least as easy
-in Python as in those languages.
+Awk} or even {\em Perl}, yet many things are at least as easy in
+Python as in those languages.
Python allows you to split up your program in modules that can be
reused in other Python programs. It comes with a large collection of
-standard modules that you can use as the basis of your programs ---
-or as examples to start learning to program in Python. There are also
-built-in modules that provide things like file I/O, system calls, and
-even a generic interface to window systems (STDWIN).
+standard modules that you can use as the basis of your programs --- or
+as examples to start learning to program in Python. There are also
+built-in modules that provide things like file I/O, system calls,
+sockets, and even a generic interface to window systems (STDWIN).
-Python is an interpreted language, which saves you considerable time
+Python is an interpreted language, which can save you considerable time
during program development because no compilation and linking is
necessary. The interpreter can be used interactively, which makes it
easy to experiment with features of the language, to write throw-away
@@ -116,12 +116,15 @@ perform critical operations at maximum speed, or to link Python
programs to libraries that may only be available in binary form (such
as a vendor-specific graphics library). Once you are really hooked,
you can link the Python interpreter into an application written in C
-and use it as an extension or command language.
+and use it as an extension or command language for that application.
+
+By the way, the language is named after the BBC show ``Monty
+Python's Flying Circus'' and has nothing to do with nasty reptiles...
\section{Where From Here}
Now that you are all excited about Python, you'll want to examine it
-in some more detail. Since the best introduction to a language is
+in some more detail. Since the best way to learn a language is
using it, you are invited here to do so.
In the next chapter, the mechanics of using the interpreter are
@@ -140,16 +143,21 @@ modules that can save you a lot of time when writing Python programs.
\chapter{Using the Python Interpreter}
+\section{Invoking the Interpreter}
+
The Python interpreter is usually installed as {\tt /usr/local/python}
on those machines where it is available; putting {\tt /usr/local} in
your {\UNIX} shell's search path makes it possible to start it by
typing the command
+
\bcode\begin{verbatim}
python
\end{verbatim}\ecode
+%
to the shell. Since the choice of the directory where the interpreter
lives is an installation option, other places are possible; check with
-your local Python guru or system administrator.
+your local Python guru or system administrator. (E.g., {\tt
+/usr/local/bin/python} is a popular alternative location.)
The interpreter operates somewhat like the {\UNIX} shell: when called
with standard input connected to a tty device, it reads and executes
@@ -157,6 +165,13 @@ commands interactively; when called with a file name argument or with
a file as standard input, it reads and executes a {\em script} from
that file.
+A third way of starting the interpreter is
+``{\tt python -c command [arg] ...}'', which
+executes the statement(s) in {\tt command}, analogous to the shell's
+{\tt -c} option. Since Python statements often contain spaces or other
+characters that are special to the shell, it is best to quote {\tt
+command} in its entirety with double quotes.
+
Note that there is a difference between ``{\tt python file}'' and
``{\tt python $<$file}''. In the latter case, input requests from the
program, such as calls to {\tt input()} and {\tt raw\_input()}, are
@@ -166,15 +181,20 @@ program will encounter EOF immediately. In the former case (which is
usually what you want) they are satisfied from whatever file or device
is connected to standard input of the Python interpreter.
-A third possibility is ``{\tt python -c command [arg] ...}'', which
-executes the statement(s) in {\tt command}, analogous to the shell's
-{\tt -c} option. Usually {\tt command} will contain spaces or other
-characters that are special to the shell, so it is best to quote it.
+\subsection{Argument Passing}
+
+When known to the interpreter, the script name and additional
+arguments thereafter are passed to the script in the variable {\tt
+sys.argv}, which is a list of strings. Its length is at least one;
+when no script and no arguments are given, {\tt sys.argv[0]} is an
+empty string. When the script name is given as {\tt '-'} (meaning
+standard input), {\tt sys.argv[0]} is set to {\tt '-'}. When {\tt -c
+command} is used, {\tt sys.argv[0]} is set to {\tt '-c'}. Options
+found after {\tt -c command} are not consumed by the Python
+interpreter's option processing but left in {\tt sys.argv} for the
+command to handle.
-When available, the script name and additional arguments thereafter
-are passed to the script in the variable {\tt sys.argv}, which is a
-list of strings.
-When {\tt -c command} is used, {\tt sys.argv} is set to {\tt '-c'}.
+\subsection{Interactive Mode}
When commands are read from a tty, the interpreter is said to be in
{\em interactive\ mode}. In this mode it prompts for the next command
@@ -184,9 +204,24 @@ prompt}, by default three dots ({\tt ...}). Typing an EOF (Control-D)
at the primary prompt causes the interpreter to exit with a zero exit
status.
-When an error occurs in interactive mode, the interpreter prints a
-message and a stack trace and returns to the primary prompt; with
-input from a file, it exits with a nonzero exit status after printing
+The interpreter prints a welcome message stating its version number
+and a copyright notice before printing the first prompt, e.g.:
+
+\bcode\begin{verbatim}
+python
+Python 0.9.5 (Jan 2 1992).
+Copyright 1990, 1991, 1992 Stichting Mathematisch Centrum, Amsterdam
+>>>
+\end{verbatim}\ecode
+
+\section{The Interpreter and its Environment}
+
+\subsection{Error Handling}
+
+When an error occurs, the interpreter prints an error
+message and a stack trace. In interactive mode, it then returns to
+the primary prompt; when input came from a file, it exits with a
+nonzero exit status after printing
the stack trace. (Exceptions handled by an {\tt except} clause in a
{\tt try} statement are not errors in this context.) Some errors are
unconditionally fatal and cause an exit with a nonzero exit; this
@@ -195,46 +230,60 @@ memory. All error messages are written to the standard error stream;
normal output from the executed commands is written to standard
output.
-Typing an interrupt (normally Control-C or DEL) to the primary or
-secondary prompt cancels the input and returns to the primary prompt.
-Typing an interrupt while a command is being executed raises the {\tt
+Typing the interrupt character (usually Control-C or DEL) to the
+primary or secondary prompt cancels the input and returns to the
+primary prompt.%
+\footnote{
+ A problem with the GNU Readline package may prevent this.
+}
+Typing an interrupt while a command is executing raises the {\tt
KeyboardInterrupt} exception, which may be handled by a {\tt try}
statement.
-When a module named
-{\tt foo}
-is imported, the interpreter searches for a file named
-{\tt foo.py}
-in a list of directories specified by the environment variable
-{\tt PYTHONPATH}.
-It has the same syntax as the {\UNIX} shell variable
-{\tt PATH},
-i.e., a list of colon-separated directory names.
-When
-{\tt PYTHONPATH}
-is not set, an installation-dependent default path is used, usually
-{\tt .:/usr/local/lib/python}.
-(Modules are really searched in the list of directories given by the
+\subsection{The Module Search Path}
+
+When a module named {\tt foo} is imported, the interpreter searches
+for a file named {\tt foo.py} in the list of directories specified by
+the environment variable {\tt PYTHONPATH}. It has the same syntax as
+the {\UNIX} shell variable {\tt PATH}, i.e., a list of colon-separated
+directory names. When {\tt PYTHONPATH} is not set, an
+installation-dependent default path is used, usually {\tt
+.:/usr/local/lib/python}.
+
+Actually, modules are searched in the list of directories given by the
variable {\tt sys.path} which is initialized from {\tt PYTHONPATH} or
-from the installation-dependent default. See the section on Standard
-Modules later.)
+the installation-dependent default. This allows Python programs that
+know what they're doing to modify or replace the module search path.
+See the section on Standard Modules later.
+
+\subsection{``Compiled'' Python files}
+
+As an important speed-up of the start-up time for short programs that
+use a lot of standard modules, if a file called {\tt foo.pyc} exists
+in the directory where {\tt foo.py} is found, this is assumed to
+contain an already-``compiled'' version of the module {\tt foo}. The
+modification time of the version of {\tt foo.py} used to create {\tt
+foo.pyc} is recorded in {\tt foo.pyc}, and the file is ignored if
+these don't match.
+
+Whenever {\tt foo.py} is successfully compiled, an attempt is made to
+write the compiled version to {\tt foo.pyc}. It is not an error if
+this attempt fails; if for any reason the file is not written
+completely, the resulting {\tt foo.pyc} file will be recognized as
+invalid and thus ignored later.
-As an important speed-up of the start-up time for short programs, if a
-file called {\tt foo.pyc} exists in the directory where {\tt foo.py}
-is found, this is assumed to contain an already-``compiled'' version
-of the module {\tt foo}. The last modification time of {\tt foo.py}
-is recorded in {\tt foo.pyc}, and the file is ignored if these don't
-match. Whenever {\tt foo.py} is successfully compiled, an attempt is
-made to write the compiled version to {\tt foo.pyc}.
+\subsection{Executable Python scripts}
On BSD'ish {\UNIX} systems, Python scripts can be made directly
executable, like shell scripts, by putting the line
+
\bcode\begin{verbatim}
#! /usr/local/python
\end{verbatim}\ecode
+%
(assuming that's the name of the interpreter) at the beginning of the
-script and giving the file an executable mode. (The {\tt \#!} must be
-the first two characters of the file.)
+script and giving the file an executable mode. The {\tt \#!} must be
+the first two characters of the file.
\section{Interactive Input Editing and History Substitution}
@@ -251,6 +300,8 @@ it beeps, you have command line editing. If nothing appears to
happen, or if \verb/^P/ is echoed, you can skip the rest of this
section.
+\subsection{Line Editing}
+
If supported, input line editing is active whenever the interpreter
prints a primary or secondary prompt. The current line can be edited
using the conventional Emacs control characters. The most important
@@ -262,6 +313,8 @@ line to the right of the cursor, C-Y yanks back the last killed
string. C-underscore undoes the last change you made; it can be
repeated for cumulative effect.
+\subsection{History Substitution}
+
History substitution works as follows. All non-empty input lines
issued are saved in a history buffer, and when a new prompt is given
you are positioned on a new line at the bottom of this buffer. C-P
@@ -271,17 +324,30 @@ front of the prompt to mark a line as modified. Pressing the Return
key passes the current line to the interpreter. C-R starts an
incremental reverse search; C-S starts a forward search.
+\subsection{Key Bindings}
+
The key bindings and some other parameters of the Readline library can
be customized by placing commands in an initialization file called
{\tt \$HOME/.inputrc}. Key bindings have the form
+
\bcode\begin{verbatim}
key-name: function-name
\end{verbatim}\ecode
+%
+or
+
+\bcode\begin{verbatim}
+"string": function-name
+\end{verbatim}\ecode
+%
and options can be set with
+
\bcode\begin{verbatim}
set option-name value
\end{verbatim}\ecode
-Example:
+%
+For example:
+
\bcode\begin{verbatim}
# I prefer vi-style editing:
set editing-mode vi
@@ -289,59 +355,75 @@ set editing-mode vi
set horizontal-scroll-mode On
# Rebind some keys:
Meta-h: backward-kill-word
-Control-u: universal-argument
+"\C-u": universal-argument
+"\C-x\C-r": re-read-init-file
\end{verbatim}\ecode
+%
Note that the default binding for TAB in Python is to insert a TAB
instead of Readline's default filename completion function. If you
insist, you can override this by putting
+
\bcode\begin{verbatim}
TAB: complete
\end{verbatim}\ecode
+%
in your {\tt \$HOME/.inputrc}. (Of course, this makes it hard to type
-indented continuation lines.)
+indented continuation lines...)
+
+\subsection{Commentary}
This facility is an enormous step forward compared to previous
versions of the interpreter; however, some wishes are left: It would
be nice if the proper indentation were suggested on continuation lines
(the parser knows if an indent token is required next). The
completion mechanism might use the interpreter's symbol table. A
-function to check (or even suggest) matching parentheses, quotes etc.
+command to check (or even suggest) matching parentheses, quotes etc.
would also be useful.
\chapter{An Informal Introduction to Python}
In the following examples, input and output are distinguished by the
-presence or absence of prompts ({\tt >>>} and {\tt ...}): to repeat the
-example, you must type everything after the prompt, when the prompt
-appears;
-lines that do not begin with a prompt are output from the interpreter.
+presence or absence of prompts ({\tt >>>} and {\tt ...}): to repeat
+the example, you must type everything after the prompt, when the
+prompt appears; lines that do not begin with a prompt are output from
+the interpreter.%
+\footnote{
+ I'd prefer to use different fonts to distinguish input
+ from output, but the amount of LaTeX hacking that would require
+ is currently beyond my ability.
+}
Note that a secondary prompt on a line by itself in an example means
you must type a blank line; this is used to end a multi-line command.
\section{Using Python as a Calculator}
Let's try some simple Python commands. Start the interpreter and wait
-for the primary prompt, {\tt >>>}.
+for the primary prompt, {\tt >>>}. (It shouldn't take long.)
+
+\subsection{Numbers}
The interpreter acts as a simple calculator: you can type an
expression at it and it will write the value. Expression syntax is
straightforward: the operators {\tt +}, {\tt -}, {\tt *} and {\tt /}
-work just as in most other languages (e.g., Pascal or C); parentheses
+work just like in most other languages (e.g., Pascal or C); parentheses
can be used for grouping. For example:
+
\bcode\begin{verbatim}
>>> # This is a comment
>>> 2+2
4
>>>
->>> (50-5+5*6+25)/4
-25
+>>> (50-5*6)/4
+5
>>> # Division truncates towards zero:
>>> 7/3
2
>>>
\end{verbatim}\ecode
-As in C, the equal sign ({\tt =}) is used to assign a value to a
+%
+Like in C, the equal sign ({\tt =}) is used to assign a value to a
variable. The value of an assignment is not written:
+
\bcode\begin{verbatim}
>>> width = 20
>>> height = 5*9
@@ -349,21 +431,31 @@ variable. The value of an assignment is not written:
900
>>>
\end{verbatim}\ecode
+%
A value can be assigned to several variables simultaneously:
+
\bcode\begin{verbatim}
>>> # Zero x, y and z
>>> x = y = z = 0
>>>
\end{verbatim}\ecode
+%
There is full support for floating point; operators with mixed type
operands convert the integer operand to floating point:
+
\bcode\begin{verbatim}
>>> 4 * 2.5 / 3.3
3.0303030303
+>>> 7.0 / 2
+3.5
>>>
\end{verbatim}\ecode
+
+\subsection{Strings}
+
Besides numbers, Python can also manipulate strings, enclosed in
single quotes:
+
\bcode\begin{verbatim}
>>> 'foo bar'
'foo bar'
@@ -371,14 +463,16 @@ single quotes:
'doesn\'t'
>>>
\end{verbatim}\ecode
-Strings are written
-the same way as they are typed for input:
-inside quotes and with quotes and other funny characters escaped by
-backslashes, to show the precise value. (There is also a way to write
-strings without quotes and escapes.)
+%
+Strings are written the same way as they are typed for input: inside
+quotes and with quotes and other funny characters escaped by
+backslashes, to show the precise value. (The {\tt print} statement,
+described later, can be used to write strings without quotes or
+escapes.)
Strings can be concatenated (glued together) with the {\tt +}
operator, and repeated with {\tt *}:
+
\bcode\begin{verbatim}
>>> word = 'Help' + 'A'
>>> word
@@ -387,12 +481,14 @@ operator, and repeated with {\tt *}:
'<HelpAHelpAHelpAHelpAHelpA>'
>>>
\end{verbatim}\ecode
-Strings can be subscripted; as in C, the first character of a string
-has subscript 0.
+%
+Strings can be subscripted (indexed); like in C, the first character of
+a string has subscript (index) 0.
There is no separate character type; a character is simply a string of
-size one. As in Icon, substrings can be specified with the {\em
-slice} notation: two subscripts (indices) separated by a colon.
+size one. Like in Icon, substrings can be specified with the {\em
+slice} notation: two indices separated by a colon.
+
\bcode\begin{verbatim}
>>> word[4]
'A'
@@ -400,19 +496,36 @@ slice} notation: two subscripts (indices) separated by a colon.
'He'
>>> word[2:4]
'lp'
->>> # Slice indices have useful defaults:
->>> word[:2] # Take first two characters
+>>>
+\end{verbatim}\ecode
+%
+Slice indices have useful defaults; an omitted first index defaults to
+zero, an omitted second index defaults to the size of the string being
+sliced.
+
+\bcode\begin{verbatim}
+>>> word[:2] # The first two characters
'He'
->>> word[2:] # Drop first two characters
+>>> word[2:] # All but the first two characters
'lpA'
->>> # A useful invariant: s[:i] + s[i:] = s
+>>>
+\end{verbatim}\ecode
+%
+Here's a useful invariant of slice operations: \verb\s[:i] + s[i:]\
+equals \verb\s\.
+
+\bcode\begin{verbatim}
+>>> word[:2] + word[2:]
+'HelpA'
>>> word[:3] + word[3:]
'HelpA'
>>>
\end{verbatim}\ecode
-Degenerate cases are handled gracefully: an index that is too large is
-replaced by the string size, an upper bound smaller than the lower
-bound returns an empty string.
+%
+Degenerate slice indices are handled gracefully: an index that is too
+large is replaced by the string size, an upper bound smaller than the
+lower bound returns an empty string.
+
\bcode\begin{verbatim}
>>> word[1:100]
'elpA'
@@ -422,22 +535,47 @@ bound returns an empty string.
''
>>>
\end{verbatim}\ecode
-Slice indices (but not simple subscripts) may be negative numbers, to
-start counting from the right. For example:
+%
+Indices may be negative numbers, to start counting from the right.
+For example:
+
\bcode\begin{verbatim}
->>> word[-2:] # Take last two characters
+>>> word[-1] # The last character
+'A'
+>>> word[-2] # The last-but-one character
+'p'
+>>> word[-2:] # The last two characters
'pA'
->>> word[:-2] # Drop last two characters
+>>> word[:-2] # All but the last two characters
'Hel'
->>> # But -0 does not count from the right!
->>> word[-0:] # (since -0 equals 0)
+>>>
+\end{verbatim}\ecode
+%
+But note that -0 is really the same as 0, so it does not count from
+the right!
+
+\bcode\begin{verbatim}
+>>> word[-0] # (since -0 equals 0)
+'H'
+>>>
+\end{verbatim}\ecode
+%
+Out-of-range negative slice indices are truncated, but don't try this
+for single-element (non-slice) indices:
+
+\bcode\begin{verbatim}
+>>> word[-100:]
'HelpA'
+>>> word[-10] # error
+Unhandled exception: IndexError: string index out of range
>>>
\end{verbatim}\ecode
+%
The best way to remember how slices work is to think of the indices as
pointing {\em between} characters, with the left edge of the first
character numbered 0. Then the right edge of the last character of a
string of {\tt n} characters has index {\tt n}, for example:
+
\bcode\begin{verbatim}
+---+---+---+---+---+
| H | e | l | p | A |
@@ -445,40 +583,50 @@ string of {\tt n} characters has index {\tt n}, for example:
0 1 2 3 4 5
-5 -4 -3 -2 -1
\end{verbatim}\ecode
+%
The first row of numbers gives the position of the indices 0...5 in
the string; the second row gives the corresponding negative indices.
+The slice from \verb\i\ to \verb\j\ consists of all characters between
+the edges labeled \verb\i\ and \verb\j\, respectively.
+
For nonnegative indices, the length of a slice is the difference of
-the indices, if both are within bounds, e.g., the length of {\tt
-word[1:3]} is 3--1 = 2.
+the indices, if both are within bounds, e.g., the length of
+\verb\word[1:3]\ is 2.
+
+The built-in function {\tt len()} returns the length of a string:
-The built-in function {\tt len()} computes the length of a string:
\bcode\begin{verbatim}
>>> s = 'supercalifragilisticexpialidocious'
>>> len(s)
34
>>>
\end{verbatim}\ecode
+
+\subsection{Lists}
+
Python knows a number of {\em compound} data types, used to group
together other values. The most versatile is the {\em list}, which
-can be written as a list of comma-separated values between square
-brackets:
+can be written as a list of comma-separated values (items) between
+square brackets. List items need not all have the same type.
+
\bcode\begin{verbatim}
>>> a = ['foo', 'bar', 100, 1234]
>>> a
['foo', 'bar', 100, 1234]
>>>
\end{verbatim}\ecode
-As for strings, list subscripts start at 0:
+%
+Like string indices, list indices start at 0, and lists can be sliced,
+concatenated and so on:
+
\bcode\begin{verbatim}
>>> a[0]
'foo'
>>> a[3]
1234
->>>
-\end{verbatim}\ecode
-Lists can be sliced, concatenated and so on, like strings:
-\bcode\begin{verbatim}
->>> a[1:3]
+>>> a[-2]
+100
+>>> a[1:-1]
['bar', 100]
>>> a[:2] + ['bletch', 2*2]
['foo', 'bar', 'bletch', 4]
@@ -486,8 +634,10 @@ Lists can be sliced, concatenated and so on, like strings:
['foo', 'bar', 100, 'foo', 'bar', 100, 'foo', 'bar', 100, 'Boe!']
>>>
\end{verbatim}\ecode
+%
Unlike strings, which are {\em immutable}, it is possible to change
individual elements of a list:
+
\bcode\begin{verbatim}
>>> a
['foo', 'bar', 100, 1234]
@@ -496,8 +646,10 @@ individual elements of a list:
['foo', 'bar', 123, 1234]
>>>
\end{verbatim}\ecode
-Assignment to slices is also possible, and this may even change the size
+%
+Assignment to slices is also possible, and this can even change the size
of the list:
+
\bcode\begin{verbatim}
>>> # Replace some items:
>>> a[0:2] = [1, 12]
@@ -511,35 +663,49 @@ of the list:
>>> a[1:1] = ['bletch', 'xyzzy']
>>> a
[123, 'bletch', 'xyzzy', 1234]
+>>> a[:0] = a # Insert (a copy of) itself at the beginning
+>>> a
+[123, 'bletch', 'xyzzy', 1234, 123, 'bletch', 'xyzzy', 1234]
>>>
\end{verbatim}\ecode
+%
The built-in function {\tt len()} also applies to lists:
+
\bcode\begin{verbatim}
>>> len(a)
-4
+8
>>>
\end{verbatim}\ecode
+%
It is possible to nest lists (create lists containing other lists),
for example:
+
\bcode\begin{verbatim}
->>> p = [1, [2, 3], 4]
+>>> q = [2, 3]
+>>> p = [1, q, 4]
>>> len(p)
3
>>> p[1]
[2, 3]
>>> p[1][0]
2
->>> p[1].append('xtra')
+>>> p[1].append('xtra') # See section 5.1
>>> p
[1, [2, 3, 'xtra'], 4]
+>>> q
+[2, 3, 'xtra']
>>>
\end{verbatim}\ecode
+%
+Note that in the last example, {\tt p[1]} and {\tt q} really refer to
+the same object! We'll come back to {\em object semantics} later.
\section{First Steps Towards Programming}
Of course, we can use Python for more complicated tasks than adding
two and two together. For instance, we can write an initial
subsequence of the {\em Fibonacci} series as follows:
+
\bcode\begin{verbatim}
>>> # Fibonacci series:
>>> # the sum of two elements defines the next
@@ -556,6 +722,7 @@ subsequence of the {\em Fibonacci} series as follows:
8
>>>
\end{verbatim}\ecode
+%
This example introduces several new features.
\begin{itemize}
@@ -569,19 +736,12 @@ assignments take place.
\item
The {\tt while} loop executes as long as the condition (here: {\tt b <
-100}) remains true. In Python, as in C, any non-zero integer value is
+100}) 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 as {\tt <},
-{\tt >}, {\tt =}, {\tt <=}, {\tt >=} and {\tt <>}.%
-\footnote{
- The ambiguity of using {\tt =}
- for both assignment and equality is resolved by disallowing
- unparenthesized conditions on the right hand side of assignments.
- Parenthesized assignment is also disallowed; instead it is
- interpreted as an equality test.
-}
+comparison. The standard comparison operators are written the same as
+in C: {\tt <}, {\tt >}, {\tt ==}, {\tt <=}, {\tt >=} and {\tt !=}.
\item
The {\em body} of the loop is {\em indented}: indentation is Python's
@@ -601,13 +761,16 @@ given. It differs from just writing the expression you want to write
multiple expressions and strings. Strings are written without quotes,
and a space is inserted between items, so you can format things nicely,
like this:
+
\bcode\begin{verbatim}
>>> i = 256*256
>>> print 'The value of i is', i
The value of i is 65536
>>>
\end{verbatim}\ecode
+%
A trailing comma avoids the newline after the output:
+
\bcode\begin{verbatim}
>>> a, b = 0, 1
>>> while b < 1000:
@@ -617,6 +780,7 @@ A trailing comma avoids the newline after the output:
1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987
>>>
\end{verbatim}\ecode
+%
Note that the interpreter inserts a newline before it prints the next
prompt if the last line was not completed.
@@ -632,18 +796,20 @@ twists.
Perhaps the most well-known statement type is the {\tt if} statement.
For example:
+
\bcode\begin{verbatim}
>>> if x < 0:
... x = 0
... print 'Negative changed to zero'
-... elif x = 0:
+... elif x == 0:
... print 'Zero'
-... elif x = 1:
+... elif x == 1:
... print 'Single'
... else:
... print 'More'
...
\end{verbatim}\ecode
+%
There can be zero or more {\tt elif} parts, and the {\tt else} part is
optional. The keyword `{\tt elif}' is short for `{\tt else if}', and is
useful to avoid excessive indentation. An {\tt if...elif...elif...}
@@ -654,11 +820,12 @@ found in other languages.
The {\tt for} statement in Python differs a bit from what you may be
used to in C or Pascal. Rather than always iterating over an
-arithmetic progression of numbers (as in Pascal), or leaving the user
+arithmetic progression of numbers (like in Pascal), or leaving the user
completely free in the iteration test and step (as C), Python's {\tt
for} statement iterates over the items of any sequence (e.g., a list
or a string), in the order that they appear in the sequence. For
example (no pun intended):
+
\bcode\begin{verbatim}
>>> # Measure some strings:
>>> a = ['cat', 'window', 'defenestrate']
@@ -670,11 +837,13 @@ window 6
defenestrate 12
>>>
\end{verbatim}\ecode
+%
It is not safe to modify the sequence being iterated over in the loop
(this can only happen for mutable sequence types, i.e., lists). If
you need to modify the list you are iterating over, e.g., duplicate
selected items, you must iterate over a copy. The slice notation
makes this particularly convenient:
+
\bcode\begin{verbatim}
>>> for x in a[:]: # make a slice copy of the entire list
... if len(x) > 6: a.insert(0, x)
@@ -689,15 +858,18 @@ makes this particularly convenient:
If you do need to iterate over a sequence of numbers, the built-in
function {\tt range()} comes in handy. It generates lists containing
arithmetic progressions, e.g.:
+
\bcode\begin{verbatim}
>>> range(10)
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>>
\end{verbatim}\ecode
+%
The given end point is never part of the generated list; {\tt range(10)}
generates a list of 10 values, exactly the legal indices for items of a
sequence of length 10. It is possible to let the range start at another
number, or to specify a different increment (even negative):
+
\bcode\begin{verbatim}
>>> range(5, 10)
[5, 6, 7, 8, 9]
@@ -707,8 +879,10 @@ number, or to specify a different increment (even negative):
[-10, -40, -70]
>>>
\end{verbatim}\ecode
+%
To iterate over the indices of a sequence, combine {\tt range()} and
{\tt len()} as follows:
+
\bcode\begin{verbatim}
>>> a = ['Mary', 'had', 'a', 'little', 'lamb']
>>> for i in range(len(a)):
@@ -735,10 +909,11 @@ loop terminates through exhaustion of the list (with {\tt for}) or when
the condition becomes false (with {\tt while}), but not when the loop is
terminated by a {\tt break} statement. This is exemplified by the
following loop, which searches for a list item of value 0:
+
\bcode\begin{verbatim}
>>> for n in range(2, 10):
... for x in range(2, n):
-... if n % x = 0:
+... if n % x == 0:
... print n, 'equals', x, '*', n/x
... break
... else:
@@ -761,6 +936,7 @@ The {\tt pass} statement does nothing.
It can be used when a statement is required syntactically but the
program requires no action.
For example:
+
\bcode\begin{verbatim}
>>> while 1:
... pass # Busy-wait for keyboard interrupt
@@ -771,6 +947,7 @@ For example:
We can create a function that writes the Fibonacci series to an
arbitrary boundary:
+
\bcode\begin{verbatim}
>>> def fib(n): # write Fibonacci series up to n
... a, b = 0, 1
@@ -783,6 +960,7 @@ arbitrary boundary:
1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987 1597
>>>
\end{verbatim}\ecode
+%
The keyword {\tt def} introduces a function {\em definition}. It must
be followed by the function name and the parenthesized list of formal
parameters. The statements that form the body of the function starts at
@@ -818,6 +996,7 @@ has a type that is recognized by the interpreter as a user-defined
function. This value can be assigned to another name which can then
also be used as a function. This serves as a general renaming
mechanism:
+
\bcode\begin{verbatim}
>>> fib
<function object at 10042ed0>
@@ -826,20 +1005,24 @@ mechanism:
1 1 2 3 5 8 13 21 34 55 89
>>>
\end{verbatim}\ecode
+%
You might object that {\tt fib} is not a function but a procedure. In
-Python, as in C, procedures are just functions that don't return a
+Python, like in C, procedures are just functions that don't return a
value. In fact, technically speaking, procedures do return a value,
albeit a rather boring one. This value is called {\tt None} (it's a
built-in name). Writing the value {\tt None} is normally suppressed by
the interpreter if it would be the only value written. You can see it
if you really want to:
+
\bcode\begin{verbatim}
>>> print fib(0)
None
>>>
\end{verbatim}\ecode
+%
It is simple to write a function that returns a list of the numbers of
the Fibonacci series, instead of printing it:
+
\bcode\begin{verbatim}
>>> def fib2(n): # return Fibonacci series up to n
... result = []
@@ -854,6 +1037,7 @@ the Fibonacci series, instead of printing it:
[1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89]
>>>
\end{verbatim}\ecode
+%
This example, as usual, demonstrates some new Python features:
\begin{itemize}
@@ -919,6 +1103,7 @@ Reverse the elements of the list, in place.
\end{description}
An example that uses all list methods:
+
\bcode\begin{verbatim}
>>> a = [66.6, 333, 333, 1, 1234.5]
>>> a.insert(2, -1)
@@ -945,6 +1130,7 @@ There is a way to remove an item from a list given its index instead
of its value: the {\tt del} statement. This can also be used to
remove slices from a list (which we did earlier by assignment of an
empty list to the slice). For example:
+
\bcode\begin{verbatim}
>>> a
[-1, 1, 66.6, 333, 333, 1234.5]
@@ -956,12 +1142,14 @@ empty list to the slice). For example:
[1, 66.6, 1234.5]
>>>
\end{verbatim}\ecode
-
+%
{\tt del} can also be used to delete entire variables:
+
\bcode\begin{verbatim}
>>> del a
>>>
\end{verbatim}\ecode
+%
Referencing the name {\tt a} hereafter is an error (at least until
another value is assigned to it). We'll find other uses for {\tt del}
later.
@@ -969,13 +1157,14 @@ later.
\section{Tuples and Sequences}
We saw that lists and strings have many common properties, e.g.,
-subscripting and slicing operations. They are two examples of {\em
-sequence} data types. As Python is an evolving language, other
+indexinging and slicing operations. They are two examples of {\em
+sequence} data types. Since Python is an evolving language, other
sequence data types may be added. There is also another standard
sequence data type: the {\em tuple}.
A tuple consists of a number of values separated by commas, for
instance:
+
\bcode\begin{verbatim}
>>> t = 12345, 54321, 'hello!'
>>> t[0]
@@ -988,6 +1177,7 @@ instance:
((12345, 54321, 'hello!'), (1, 2, 3, 4, 5))
>>>
\end{verbatim}\ecode
+%
As you see, on output tuples are alway enclosed in parentheses, so
that nested tuples are interpreted correctly; they may be input with
or without surrounding parentheses, although often parentheses are
@@ -1005,6 +1195,7 @@ tuples are constructed by an empty pair of parentheses; a tuple with
one item is constructed by following a value with a comma
(it is not sufficient to enclose a single value in parentheses).
Ugly, but effective. For example:
+
\bcode\begin{verbatim}
>>> empty = ()
>>> singleton = 'hello', # <-- note trailing comma
@@ -1016,15 +1207,17 @@ Ugly, but effective. For example:
('hello',)
>>>
\end{verbatim}\ecode
-
+%
The statement {\tt t = 12345, 54321, 'hello!'} is an example of {\em
tuple packing}: the values {\tt 12345}, {\tt 54321} and {\tt 'hello!'}
are packed together in a tuple. The reverse operation is also
possible, e.g.:
+
\bcode\begin{verbatim}
>>> x, y, z = t
>>>
\end{verbatim}\ecode
+%
This is called, appropriately enough, {\em tuple unpacking}. Tuple
unpacking requires that the list of variables on the left has the same
number of elements as the length of the tuple. Note that multiple
@@ -1034,6 +1227,7 @@ unpacking!
Occasionally, the corresponding operation on lists is useful: {\em list
unpacking}. This is supported by enclosing the list of variables in
square brackets:
+
\bcode\begin{verbatim}
>>> a = ['foo', 'bar', 100, 1234]
>>> [a1, a2, a3, a4] = a
@@ -1143,6 +1337,7 @@ equal. If one sequence is an initial subsequence of the other, the
shorted sequence is the smaller one. Lexicographical ordering for
strings uses the ASCII ordering for individual characters. Some
examples of comparisons between sequences with the same types:
+
\bcode\begin{verbatim}
(1, 2, 3) < (1, 2, 4)
[1, 2, 3] < [1, 2, 4]
@@ -1152,7 +1347,7 @@ examples of comparisons between sequences with the same types:
(1, 2, 3) = (1.0, 2.0, 3.0)
(1, 2, ('aa', 'ab')) < (1, 2, ('abc', 'a'), 4)
\end{verbatim}\ecode
-
+%
Note that comparing objects of different types is legal. The outcome
is deterministic but arbitrary: the types are ordered by their name.
Thus, a list is always smaller than a string, a string is always
@@ -1188,6 +1383,7 @@ A module is a file containing Python definitions and statements. The
file name is the module name with the suffix {\tt .py} appended. For
instance, use your favorite text editor to create a file called {\tt
fibo.py} in the current directory with the following contents:
+
\bcode\begin{verbatim}
# Fibonacci numbers module
@@ -1205,18 +1401,22 @@ def fib2(n): # return Fibonacci series up to n
a, b = b, a+b
return result
\end{verbatim}\ecode
+%
Now enter the Python interpreter and import this module with the
following command:
+
\bcode\begin{verbatim}
>>> import fibo
>>>
\end{verbatim}\ecode
+%
This does not enter the names of the functions defined in
{\tt fibo}
directly in the current symbol table; it only enters the module name
{\tt fibo}
there.
Using the module name you can access the functions:
+
\bcode\begin{verbatim}
>>> fibo.fib(1000)
1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987
@@ -1224,7 +1424,9 @@ Using the module name you can access the functions:
[1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89]
>>>
\end{verbatim}\ecode
+%
If you intend to use a function often you can assign it to a local name:
+
\bcode\begin{verbatim}
>>> fib = fibo.fib
>>> fib(500)
@@ -1268,23 +1470,27 @@ There is a variant of the
statement that imports names from a module directly into the importing
module's symbol table.
For example:
+
\bcode\begin{verbatim}
>>> from fibo import fib, fib2
>>> fib(500)
1 1 2 3 5 8 13 21 34 55 89 144 233 377
>>>
\end{verbatim}\ecode
+%
This does not introduce the module name from which the imports are taken
in the local symbol table (so in the example, {\tt fibo} is not
defined).
There is even a variant to import all names that a module defines:
+
\bcode\begin{verbatim}
>>> from fibo import *
>>> fib(500)
1 1 2 3 5 8 13 21 34 55 89 144 233 377
>>>
\end{verbatim}\ecode
+%
This imports all names except those beginning with an underscore
({\tt \_}).
@@ -1301,6 +1507,7 @@ Amoeba primitives. One particular module deserves some attention: {\tt
sys}, which is built into every Python interpreter. The variables {\tt
sys.ps1} and {\tt sys.ps2} define the strings used as primary and
secondary prompts:
+
\bcode\begin{verbatim}
>>> import sys
>>> sys.ps1
@@ -1312,6 +1519,7 @@ C> print 'Yuck!'
Yuck!
C>
\end{verbatim}\ecode
+%
These two variables are only defined if the interpreter is in
interactive mode.
@@ -1325,6 +1533,7 @@ or from a built-in default if
{\tt PYTHONPATH}
is not set.
You can modify it using standard list operations, e.g.:
+
\bcode\begin{verbatim}
>>> import sys
>>> sys.path.append('/ufs/guido/lib/python')
@@ -1335,6 +1544,7 @@ You can modify it using standard list operations, e.g.:
The built-in function {\tt dir} is used to find out which names a module
defines. It returns a sorted list of strings:
+
\bcode\begin{verbatim}
>>> import fibo, sys
>>> dir(fibo)
@@ -1343,7 +1553,9 @@ defines. It returns a sorted list of strings:
['argv', 'exit', 'modules', 'path', 'ps1', 'ps2', 'stderr', 'stdin', 'stdout']
>>>
\end{verbatim}\ecode
+%
Without arguments, {\tt dir()} lists the names you have defined currently:
+
\bcode\begin{verbatim}
>>> a = [1, 2, 3, 4, 5]
>>> import fibo, sys
@@ -1352,11 +1564,13 @@ Without arguments, {\tt dir()} lists the names you have defined currently:
['a', 'fib', 'fibo', 'sys']
>>>
\end{verbatim}\ecode
+%
Note that it lists all types of names: variables, modules, functions, etc.
{\tt dir()} does not list the names of built-in functions and variables.
If you want a list of those, they are defined in the standard module
{\tt builtin}:
+
\bcode\begin{verbatim}
>>> import builtin
>>> dir(builtin)
@@ -1385,6 +1599,7 @@ padding strings to a given column width; these will be discussed shortly.
One question remains, of course: how do you convert values to strings?
Luckily, Python has a way to convert any value to a string: just write
the value between reverse quotes (\verb/``/). Some examples:
+
\bcode\begin{verbatim}
>>> x = 10 * 3.14
>>> y = 200*200
@@ -1406,8 +1621,9 @@ The value of x is 31.4, and y is 40000...
'(31.4, 40000, (\'foo\', \'bar\'))'
>>>
\end{verbatim}\ecode
-
+%
Here is how you write a table of squares and cubes:
+
\bcode\begin{verbatim}
>>> import string
>>> for x in range(1, 11):
@@ -1427,6 +1643,7 @@ Here is how you write a table of squares and cubes:
10 100 1000
>>>
\end{verbatim}\ecode
+%
(Note that one space between each column was added by the way {\tt print}
works: it always adds spaces between its arguments.)
@@ -1447,6 +1664,7 @@ signs:%
Better facilities for formatting floating point numbers are
lacking at this moment.
}
+
\bcode\begin{verbatim}
>>> string.zfill('12', 5)
'00012'
@@ -1468,6 +1686,7 @@ and {\em exceptions}.
Syntax errors, also known as parsing errors, are perhaps the most common
kind of complaint you get while you are still learning Python:
+
\bcode\begin{verbatim}
>>> while 1 print 'Hello world'
Parsing error: file <stdin>, line 1:
@@ -1476,6 +1695,7 @@ while 1 print 'Hello world'
Unhandled exception: run-time error: syntax error
>>>
\end{verbatim}\ecode
+%
The parser repeats the offending line and displays a little `arrow'
pointing at the earliest point in the line where the error was detected.
The error is caused by (or at least detected at) the token
@@ -1493,6 +1713,7 @@ Errors detected during execution are called {\em exceptions} and are
not unconditionally fatal: you will soon learn how to handle them in
Python programs. Most exceptions are not handled by programs,
however, and result in error messages as shown here:
+
\bcode\small\begin{verbatim}
>>> 10 * (1/0)
Unhandled exception: run-time error: integer division by zero
@@ -1508,7 +1729,7 @@ Stack backtrace (innermost last):
File "<stdin>", line 1
>>>
\end{verbatim}\ecode
-
+%
The first line of the error message indicates what happened.
Exceptions come in different types, and the type is printed as part of
the message: the types in the example are
@@ -1553,6 +1774,7 @@ in what context the error was detected.
It is possible to write programs that handle selected exceptions.
Look at the following example, which prints a table of inverses of
some floating point numbers:
+
\bcode\begin{verbatim}
>>> numbers = [0.3333, 2.5, 0, 10]
>>> for x in numbers:
@@ -1568,6 +1790,7 @@ some floating point numbers:
10 0.1
>>>
\end{verbatim}\ecode
+%
The {\tt try} statement works as follows.
\begin{itemize}
\item
@@ -1599,10 +1822,12 @@ Handlers only handle exceptions that occur in the corresponding try
clause, not in other handlers of the same {\tt try} statement.
An except clause may name multiple exceptions as a parenthesized list,
e.g.:
+
\bcode\begin{verbatim}
... except (RuntimeError, TypeError, NameError):
... pass
\end{verbatim}\ecode
+%
The last except clause may omit the exception name(s), to serve as a
wildcard.
Use this with extreme caution!
@@ -1614,6 +1839,7 @@ The presence and type of the argument depend on the exception type.
For exception types which have an argument, the except clause may
specify a variable after the exception name (or list) to receive the
argument's value, as follows:
+
\bcode\begin{verbatim}
>>> try:
... foo()
@@ -1623,6 +1849,7 @@ argument's value, as follows:
name foo undefined
>>>
\end{verbatim}\ecode
+%
If an exception has an argument, it is printed as the third part
(`detail') of the message for unhandled exceptions.
@@ -1634,6 +1861,7 @@ These are in fact string objects whose
The string is printed as the second part of the message for unhandled
exceptions.
Their names and values are:
+
\bcode\begin{verbatim}
EOFError 'end-of-file read'
KeyboardInterrupt 'keyboard interrupt'
@@ -1643,6 +1871,7 @@ RuntimeError 'run-time error' *
SystemError 'system error' *
TypeError 'type error' *
\end{verbatim}\ecode
+%
The meanings should be clear enough.
Those exceptions with a {\tt *} in the third column have an argument.
@@ -1650,6 +1879,7 @@ Exception handlers don't just handle exceptions if they occur
immediately in the try clause, but also if they occur inside functions
that are called (even indirectly) in the try clause.
For example:
+
\bcode\begin{verbatim}
>>> def this_fails():
... x = 1/0
@@ -1668,6 +1898,7 @@ Handling run-time error: integer division by zero
The {\tt raise} statement allows the programmer to force a specified
exception to occur.
For example:
+
\bcode\begin{verbatim}
>>> raise NameError, 'Hi There!'
Unhandled exception: undefined name: Hi There!
@@ -1675,6 +1906,7 @@ Stack backtrace (innermost last):
File "<stdin>", line 1
>>>
\end{verbatim}\ecode
+%
The first argument to {\tt raise} names the exception to be raised.
The optional second argument specifies the exception's argument.
@@ -1683,6 +1915,7 @@ The optional second argument specifies the exception's argument.
Programs may name their own exceptions by assigning a string to a
variable.
For example:
+
\bcode\begin{verbatim}
>>> my_exc = 'nobody likes me!'
>>> try:
@@ -1697,6 +1930,7 @@ Stack backtrace (innermost last):
File "<stdin>", line 7
>>>
\end{verbatim}\ecode
+%
Many standard modules use this to report errors that may occur in
functions they define.
@@ -1705,6 +1939,7 @@ functions they define.
The {\tt try} statement has another optional clause which is intended to
define clean-up actions that must be executed under all circumstances.
For example:
+
\bcode\begin{verbatim}
>>> try:
... raise KeyboardInterrupt
@@ -1717,6 +1952,7 @@ Stack backtrace (innermost last):
File "<stdin>", line 2
>>>
\end{verbatim}\ecode
+%
The
{\em finally\ clause}
must follow the except clauses(s), if any.