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Lists
--- node24.html node20.html node22.html node1.html --- ## Lists Python knows a number of compound data types, used to group together other values. The most versatile is the list, which can be written as a list of comma-separated values (items) between square brackets. List items need not all have the same type. ```text...
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https://docs.python.org/{python_version}/python-tut/node23.html
First Steps Towards Programming
--- node25.html node19.html node23.html node1.html --- # 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 Fibonacci series as follows: ```text >>> # Fibonacci series: ... # the sum of two el...
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More Control Flow Tools
--- node26.html tut.html node24.html node1.html --- # More Control Flow Tools Besides the while statement just introduced, Python knows the usual control flow statements known from other languages, with some twists. --- - If Statements (node26.html#SECTION00510000000000000000) For Statements (node27.html#SECTION0052000...
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If Statements
--- node27.html node25.html node25.html node1.html --- # If Statements Perhaps the most well-known statement type is the if statement. For example: ```text >>> if x < 0: ... x = 0 ... print 'Negative changed to zero' ... elif x == 0: ... print 'Zero' ... elif x == 1: ... print 'Single' ... else: ... print 'More' ... ``...
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https://docs.python.org/{python_version}/python-tut/node26.html
For Statements
--- node28.html node25.html node26.html node1.html --- # For Statements The 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 (like in Pascal), or leaving the user completely free in the iteration test and step (as C...
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https://docs.python.org/{python_version}/python-tut/node27.html
The range() Function
--- node29.html node25.html node27.html node1.html --- # The range() Function If you do need to iterate over a sequence of numbers, the built-in function range() comes in handy. It generates lists containing arithmetic progressions, e.g.: ```text >>> range(10) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] >>> ``` The given end point ...
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Break and Continue Statements, and Else Clauses on Loops
--- node30.html node25.html node28.html node1.html --- # Break and Continue Statements, and Else Clauses on Loops The break statement, like in C, breaks out of the smallest enclosing for or while loop. The continue statement, also borrowed from C, continues with the next iteration of the loop. Loop statements may have ...
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Where From Here
--- node4.html node2.html node2.html node1.html --- # Where From Here Now that you are all excited about Python, you'll want to examine it 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 explained. Th...
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Pass Statements
--- node31.html node25.html node29.html node1.html --- # Pass Statements The pass statement does nothing. It can be used when a statement is required syntactically but the program requires no action. For example: ```text >>> while 1: ... pass # Busy-wait for keyboard interrupt ... ``` --- guido@cwi.nl
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Defining Functions
--- node32.html node25.html node30.html node1.html --- # Defining Functions We can create a function that writes the Fibonacci series to an arbitrary boundary: ```text >>> def fib(n): # write Fibonacci series up to n ... a, b = 0, 1 ... while b < n: ... print b, ... a, b = b, a+b ... >>> # Now call the function we just...
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Odds and Ends
--- node33.html tut.html node31.html node1.html --- # Odds and Ends This chapter describes some things you've learned about already in more detail, and adds some new things as well. --- - More on Lists (node33.html#SECTION00610000000000000000) The del statement (node34.html#SECTION00620000000000000000) Tuples and Seque...
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More on Lists
--- node34.html node32.html node32.html node1.html --- # More on Lists The list data type has some more methods. Here are all of the methods of lists objects: An example that uses all list methods: ```text >>> a = [66.6, 333, 333, 1, 1234.5] >>> print a.count(333), a.count(66.6), a.count('x') 2 1 0 >>> a.insert(2, -1) ...
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The del statement
--- node35.html node32.html node33.html node1.html --- # The del statement There is a way to remove an item from a list given its index instead of its value: the 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: ```text >>>...
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Tuples and Sequences
--- node36.html node32.html node34.html node1.html --- # Tuples and Sequences We saw that lists and strings have many common properties, e.g., indexing and slicing operations. They are two examples of sequence data types. Since Python is an evolving language, other sequence data types may be added. There is also anothe...
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Dictionaries
--- node37.html node32.html node35.html node1.html --- # Dictionaries Another useful data type built into Python is the dictionary. Dictionaries are sometimes found in other languages as ``associative memories'' or ``associative arrays''. Unlike sequences, which are indexed by a range of numbers, dictionaries are index...
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More on Conditions
--- node38.html node32.html node36.html node1.html --- # More on Conditions The conditions used in while and if statements above can contain other operators besides comparisons. The comparison operators in and not in check whether a value occurs (does not occur) in a sequence. The operators is and is not compare whethe...
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Comparing Sequences and Other Types
--- node39.html node32.html node37.html node1.html --- # Comparing Sequences and Other Types Sequence objects may be compared to other objects with the same sequence type. The comparison uses lexicographical ordering: first the first two items are compared, and if they differ this determines the outcome of the comparis...
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Modules
--- node40.html tut.html node38.html node1.html --- # Modules If you quit from the Python interpreter and enter it again, the definitions you have made (functions and variables) are lost. Therefore, if you want to write a somewhat longer program, you are better off using a text editor to prepare the input for the inter...
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Using the Python Interpreter
--- node5.html tut.html node3.html node1.html --- # Using the Python Interpreter --- - Invoking the Interpreter (node5.html#SECTION00310000000000000000) - Argument Passing (node6.html#SECTION00311000000000000000) Interactive Mode (node7.html#SECTION00312000000000000000) The Interpreter and its Environment (node8.html#S...
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More on Modules
--- node41.html node39.html node39.html node1.html --- # More on Modules A module can contain executable statements as well as function definitions. These statements are intended to initialize the module. They are executed only the first time the module is imported somewhere. footnode.html#288 Each module has its own p...
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Standard Modules
--- node42.html node39.html node40.html node1.html --- # Standard Modules Python comes with a library of standard modules, described in a separate document (Python Library Reference). Some modules are built into the interpreter; these provide access to operations that are not part of the core of the language but are ne...
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The dir() function
--- node43.html node39.html node41.html node1.html --- # The dir() function The built-in function dir is used to find out which names a module defines. It returns a sorted list of strings: ```text >>> import fibo, sys >>> dir(fibo) ['__name__', 'fib', 'fib2'] >>> dir(sys) ['__name__', 'argv', 'builtin_module_names', 'c...
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Output Formatting
--- node44.html tut.html node42.html node1.html --- # Output Formatting So far we've encountered two ways of writing values: expression statements and the print statement. (A third way is using the write method of file objects; the standard output file can be referenced as sys.stdout. See the Library Reference for more...
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Errors and Exceptions
--- node45.html tut.html node43.html node1.html --- # Errors and Exceptions Until now error messages haven't been more than mentioned, but if you have tried out the examples you have probably seen some. There are (at least) two distinguishable kinds of errors: syntax errors and exceptions. --- - Syntax Errors (node45.h...
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Syntax Errors
--- node46.html node44.html node44.html node1.html --- # Syntax Errors Syntax errors, also known as parsing errors, are perhaps the most common kind of complaint you get while you are still learning Python: ```text >>> while 1 print 'Hello world' File "<stdin>", line 1 while 1 print 'Hello world' ^ SyntaxError: invalid...
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Exceptions
--- node47.html node44.html node45.html node1.html --- # Exceptions Even if a statement or expression is syntactically correct, it may cause an error when an attempt is made to execute it. Errors detected during execution are called exceptions and are not unconditionally fatal: you will soon learn how to handle them in...
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Handling Exceptions
--- node48.html node44.html node46.html node1.html --- # Handling Exceptions 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: ```text >>> numbers = [0.3333, 2.5, 0, 10] >>> for x in numbers: ... print x, ......
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Raising Exceptions
--- node49.html node44.html node47.html node1.html --- # Raising Exceptions The raise statement allows the programmer to force a specified exception to occur. For example: ```text >>> raise NameError, 'HiThere' Traceback (innermost last): File "<stdin>", line 1 NameError: HiThere >>> ``` The first argument to raise nam...
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User-defined Exceptions
--- node50.html node44.html node48.html node1.html --- # User-defined Exceptions Programs may name their own exceptions by assigning a string to a variable. For example: ```text >>> my_exc = 'my_exc' >>> try: ... raise my_exc, 2*2 ... except my_exc, val: ... print 'My exception occurred, value:', val ... My exception o...
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Invoking the Interpreter
--- node6.html node4.html node4.html node1.html --- # Invoking the Interpreter The Python interpreter is usually installed as /usr/local/bin/python on those machines where it is available; putting /usr/local/bin in your Unix shell's search path makes it possible to start it by typing the command ```text python ``` to t...
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Defining Clean-up Actions
--- node51.html node44.html node49.html node1.html --- # Defining Clean-up Actions The try statement has another optional clause which is intended to define clean-up actions that must be executed under all circumstances. For example: ```text >>> try: ... raise KeyboardInterrupt ... finally: ... print 'Goodbye, world!' ...
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Classes
--- node52.html tut.html node50.html node1.html --- # Classes Python's class mechanism adds classes to the language with a minimum of new syntax and semantics. It is a mixture of the class mechanisms found in C++ and Modula-3. As is true for modules, classes in Python do not put an absolute barrier between definition a...
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A word about terminology
--- node53.html node51.html node51.html node1.html --- # A word about terminology Lacking universally accepted terminology to talk about classes, I'll make occasional use of Smalltalk and C++ terms. (I'd use Modula-3 terms, since its object-oriented semantics are closer to those of Python than C++, but I expect that fe...
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Python scopes and name spaces
--- node54.html node51.html node52.html node1.html --- # Python scopes and name spaces Before introducing classes, I first have to tell you something about Python's scope rules. Class definitions play some neat tricks with name spaces, and you need to know how scopes and name spaces work to fully understand what's goin...
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A first look at classes
--- node55.html node51.html node53.html node1.html --- # A first look at classes Classes introduce a little bit of new syntax, three new object types, and some new semantics. --- - Class definition syntax (node55.html#SECTION001031000000000000000) Class objects (node56.html#SECTION001032000000000000000) Instance object...
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Class definition syntax
--- node56.html node54.html node54.html node1.html --- ## Class definition syntax The simplest form of class definition looks like this: ```text class ClassName: <statement-1> . . . <statement-N> ``` Class definitions, like function definitions (`def` statements) must be executed before they have any effect. (You could...
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Class objects
--- node57.html node54.html node55.html node1.html --- ## Class objects Class objects support two kinds of operations: attribute references and instantiation. Attribute references use the standard syntax used for all attribute references in Python: `obj.name`. Valid attribute names are all the names that were in the cl...
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Instance objects
--- node58.html node54.html node56.html node1.html --- ## Instance objects Now what can we do with instance objects? The only operations understood by instance objects are attribute references. There are two kinds of valid attribute names. The first I'll call data attributes. These correspond to ``instance variables'' ...
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Method objects
--- node59.html node54.html node57.html node1.html --- ## Method objects Usually, a method is called immediately, e.g.: ```text x.f() ``` In our example, this will return the string `'hello world'`. However, it is not necessary to call a method right away: `x.f` is a method object, and can be stored away and called at ...
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Random remarks
--- node60.html node51.html node58.html node1.html --- # Random remarks [These should perhaps be placed more carefully...] Data attributes override method attributes with the same name; to avoid accidental name conflicts, which may cause hard-to-find bugs in large programs, it is wise to use some kind of convention tha...
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Argument Passing
--- node7.html node5.html node5.html node1.html --- ## Argument Passing When known to the interpreter, the script name and additional arguments thereafter are passed to the script in the variable sys.argv, which is a list of strings. Its length is at least one; when no script and no arguments are given, sys.argv[0] is ...
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https://docs.python.org/{python_version}/python-tut/node6.html
Inheritance
--- node61.html node51.html node59.html node1.html --- # Inheritance Of course, a language feature would not be worthy of the name ``class'' without supporting inheritance. The syntax for a derived class definition looks as follows: ```text class DerivedClassName(BaseClassName): <statement-1> . . . <statement-N> ``` Th...
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Multiple inheritance
--- node62.html node60.html node60.html node1.html --- ## Multiple inheritance Python supports a limited form of multiple inheritance as well. A class definition with multiple base classes looks as follows: ```text class DerivedClassName(Base1, Base2, Base3): <statement-1> . . . <statement-N> ``` The only rule necessar...
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Odds and ends
--- node63.html node51.html node61.html node1.html --- # Odds and ends Sometimes it is useful to have a data type similar to the Pascal ``record'' or C ``struct'', bundling together a couple of named data items. An empty class definition will do nicely, e.g.: ```text class Employee: pass john = Employee() # Create an ...
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Recent Additions
--- node64.html tut.html node62.html node1.html --- # Recent Additions Python is an evolving language. Since this tutorial was last thoroughly revised, several new features have been added to the language. While ideally I should revise the tutorial to incorporate them in the mainline of the text, lack of time currently...
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The Last Printed Expression
--- node65.html node63.html node63.html node1.html --- # The Last Printed Expression In interactive mode, the last printed expression is assigned to the variable `_`. This means that when you are using Python as a desk calculator, it is somewhat easier to continue calculations, for example: ```text >>> tax = 17.5 / 100...
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https://docs.python.org/{python_version}/python-tut/node64.html
String Literals
--- node66.html node63.html node64.html node1.html --- # String Literals --- - Double Quotes (node66.html#SECTION001121000000000000000) Continuation Of String Literals (node67.html#SECTION001122000000000000000) Triple-quoted strings (node68.html#SECTION001123000000000000000) String Literal Juxtaposition (node69.html#SE...
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Double Quotes
--- node67.html node65.html node65.html node1.html --- ## Double Quotes Python can now also use double quotes to surround string literals, e.g. `"this doesn't hurt a bit"`. There is no semantic difference between strings surrounded by single or double quotes. --- guido@cwi.nl
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Continuation Of String Literals
--- node68.html node65.html node66.html node1.html --- ## Continuation Of String Literals String literals can span multiple lines by escaping newlines with backslashes, e.g. ```text hello = "This is a rather long string containing\n\ several lines of text just as you would do in C.\n\ Note that whitespace at the beginn...
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Triple-quoted strings
--- node69.html node65.html node67.html node1.html --- ## Triple-quoted strings In some cases, when you need to include really long strings (e.g. containing several paragraphs of informational text), it is annoying that you have to terminate each line with `\n\`, especially if you would like to reformat the text occasi...
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String Literal Juxtaposition
--- node70.html node65.html node68.html node1.html --- ## String Literal Juxtaposition One final twist: you can juxtapose multiple string literals. Two or more adjacent string literals (but not arbitrary expressions!) separated only by whitespace will be concatenated (without intervening whitespace) into a single strin...
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Interactive Mode
--- node8.html node5.html node6.html node1.html --- ## Interactive Mode When commands are read from a tty, the interpreter is said to be in interactive mode. In this mode it prompts for the next command with the primary prompt, usually three greater-than signs ( >>>); for continuation lines it prompts with the secondar...
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The Formatting Operator
--- node71.html node63.html node69.html node1.html --- # The Formatting Operator --- - Basic Usage (node71.html#SECTION001131000000000000000) Referencing Variables By Name (node72.html#SECTION001132000000000000000) --- guido@cwi.nl
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Basic Usage
--- node72.html node70.html node70.html node1.html --- ## Basic Usage The chapter on output formatting is really out of date: there is now an almost complete interface to C-style printf formats. This is done by overloading the modulo operator (`%`) for a left operand which is a string, e.g. ```text >>> import math >>> ...
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Referencing Variables By Name
--- node73.html node70.html node71.html node1.html --- ## Referencing Variables By Name If you have a really long format string that you don't want to split up, it would be nice if you could reference the variables to be formatted by name instead of by position. This can be done by using an extension of C formats using...
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Optional Function Arguments
--- node74.html node63.html node72.html node1.html --- # Optional Function Arguments It is now possible to define functions with a variable number of arguments. There are two forms, which can be combined. --- - Default Argument Values (node74.html#SECTION001141000000000000000) Arbitrary Argument Lists (node75.html#SECT...
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Default Argument Values
--- node75.html node73.html node73.html node1.html --- ## Default Argument Values The most useful form is to specify a default value for one or more arguments. This creates a function that can be called with fewer arguments than it is defined, e.g. ```text def ask_ok(prompt, retries = 4, complaint = 'Yes or no, please!...
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Arbitrary Argument Lists
--- node76.html node73.html node74.html node1.html --- ## Arbitrary Argument Lists It is also possible to specify that a function can be called with an arbitrary number of arguments. These arguments will be wrapped up in a tuple. Before the variable number of arguments, zero or more normal arguments may occur, e.g. ```...
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Lambda And Functional Programming Tools
--- node77.html node63.html node75.html node1.html --- # Lambda And Functional Programming Tools --- - Lambda Forms (node77.html#SECTION001151000000000000000) Map, Reduce and Filter (node78.html#SECTION001152000000000000000) - Map. (node79.html#SECTION001152100000000000000) Filter. (node80.html#SECTION00115220000000000...
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Lambda Forms
--- node78.html node76.html node76.html node1.html --- ## Lambda Forms By popular demand, a few features commonly found in functional programming languages and Lisp have been added to Python. With the `lambda` keyword, small anonymous functions can be created. Here's a function that returns the sum of its two arguments...
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Map, Reduce and Filter
--- node79.html node76.html node77.html node1.html --- ## Map, Reduce and Filter Three new built-in functions on sequences are good candidate to pass lambda forms. --- - Map. (node79.html#SECTION001152100000000000000) Filter. (node80.html#SECTION001152200000000000000) Reduce. (node81.html#SECTION001152300000000000000) ...
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Map.
--- node80.html node78.html node78.html node1.html --- ### Map. `map(function, sequence)` calls `function(item)` for each of the sequence's items and returns a list of the return values. For example, to compute some cubes: ```text >>> map(lambda x: x*x*x, range(1, 11)) [1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] >>> ...
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The Interpreter and its Environment
--- node9.html node4.html node7.html node1.html --- # The Interpreter and its Environment --- - Error Handling (node9.html#SECTION00321000000000000000) The Module Search Path (node10.html#SECTION00322000000000000000) ``Compiled'' Python files (node11.html#SECTION00323000000000000000) Executable Python scripts (node12.h...
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Filter.
--- node81.html node78.html node79.html node1.html --- ### Filter. `filter(function, sequence)` returns a sequence (of the same type, if possible) consisting of those items from the sequence for which `function(item)` is true. For example, to compute some primes: ```text >>> filter(lambda x: x%2 != 0 and x%3 != 0, rang...
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Reduce.
--- node82.html node78.html node80.html node1.html --- ### Reduce. `reduce(function, sequence)` returns a single value constructed by calling the (binary) function on the first two items of the sequence, then on the result and the next item, and so on. For example, to compute the sum of the numbers 1 through 10: ```tex...
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Continuation Lines Without Backslashes
--- node83.html node63.html node81.html node1.html --- # Continuation Lines Without Backslashes While the general mechanism for continuation of a source line on the next physical line remains to place a backslash on the end of the line, expressions inside matched parentheses (or square brackets, or curly braces) can no...
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Regular Expressions
--- node84.html node63.html node82.html node1.html --- # Regular Expressions While C's printf-style output formats, transformed into Python, are adequate for most output formatting jobs, C's scanf-style input formats are not very powerful. Instead of scanf-style input, Python offers Emacs-style regular expressions as a...
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Generalized Dictionaries
--- node85.html node63.html node83.html node1.html --- # Generalized Dictionaries The keys of dictionaries are no longer restricted to strings --- they can be any immutable basic type including strings, numbers, tuples, or (certain) class instances. (Lists and dictionaries are not acceptable as dictionary keys, in orde...
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Miscellaneous New Built-in Functions
--- node86.html node63.html node84.html node1.html --- # Miscellaneous New Built-in Functions The function `vars()` returns a dictionary containing the current local variables. With a module argument, it returns that module's global variables. The old function `dir(x)` returns `vars(x).keys()`. The function `round(x)` ...
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Else Clause For Try Statement
--- node87.html node63.html node85.html node1.html --- # Else Clause For Try Statement The `try...except` statement now has an optional `else` clause, which must follow all `except` clauses. It is useful to place code that must be executed if the `try` clause does not raise an exception. For example: ```text for arg in...
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New Class Features in Release 1.1
--- node88.html node63.html node86.html node1.html --- # New Class Features in Release 1.1 Some changes have been made to classes: the operator overloading mechanism is more flexible, providing more support for non-numeric use of operators (including calling an object as if it were a function), and it is possible to tr...
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New Operator Overloading
--- node89.html node87.html node87.html node1.html --- ## New Operator Overloading It is no longer necessary to coerce both sides of an operator to the same class or type. A class may still provide a `__coerce__` method, but this method may return objects of different types or classes if it feels like it. If no `__coer...
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Trapping Attribute Access
--- node90.html node87.html node88.html node1.html --- ## Trapping Attribute Access You can define three new ``magic'' methods in a class now: `__getattr__(self, name)`, `__setattr__(self, name, value)` and `__delattr__(self, name)`. The `__getattr__` method is called when an attribute access fails, i.e. when an attrib...
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Error Handling
--- node10.html node8.html node8.html node1.html --- ## 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...
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Calling a Class Instance
--- node91.html node87.html node89.html node1.html --- ## Calling a Class Instance If a class defines a method `__call__` it is possible to call its instances as if they were functions. For example: ```text class PresetSomeArguments: def __init__(self, func, *args): self.func, self.args = func, args def __call__(self, ...
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New in Release 1.2
--- node92.html tut.html node90.html node1.html --- # New in Release 1.2 This chapter describes even more recent additions to the Python language and library. --- - New Class Features (node92.html#SECTION001210000000000000000) Unix Signal Handling (node93.html#SECTION001220000000000000000) Exceptions Can Be Classes (no...
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New Class Features
--- node93.html node91.html node91.html node1.html --- # New Class Features The semantics of `__coerce__` have been changed to be more reasonable. As an example, the new standard module `Complex` implements fairly complete complex numbers using this. Additional examples of classes with and without `__coerce__` methods ...
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Unix Signal Handling
--- node94.html node91.html node92.html node1.html --- # Unix Signal Handling On Unix, Python now supports signal handling. The module `signal` exports functions `signal`, `pause` and `alarm`, which act similar to their Unix counterparts. The module also exports the conventional names for the various signal classes (al...
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Exceptions Can Be Classes
--- node95.html node91.html node93.html node1.html --- # Exceptions Can Be Classes User-defined exceptions are no longer limited to being string objects --- they can be identified by classes as well. Using this mechanism it is possible to create extensible hierarchies of exceptions. There are two new valid (semantic) f...
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Object Persistency and Object Copying
--- node96.html node91.html node94.html node1.html --- # Object Persistency and Object Copying Two new modules, `pickle` and `shelve`, support storage and retrieval of (almost) arbitrary Python objects on disk, using the `dbm` package. A third module, `copy`, provides flexible object copying operations. More informatio...
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Persistent Objects
--- node97.html node95.html node95.html node1.html --- ## Persistent Objects The module `pickle` provides a general framework for objects to disassemble themselves into a stream of bytes and to reassemble such a stream back into an object. It copes with reference sharing, recursive objects and instances of user-defined...
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Copying Objects
--- node98.html node95.html node96.html node1.html --- ## Copying Objects The module `copy` exports two functions: `copy()` and `deepcopy()`. The `copy()` function returns a ``shallow'' copy of an object; `deepcopy()` returns a ``deep'' copy. The difference between shallow and deep copying is only relevant for compound...
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Documentation Strings
--- node99.html node91.html node97.html node1.html --- # Documentation Strings A variety of objects now have a new attribute, `__doc__`, which is supposed to contain a documentation string (if no documentation is present, the attribute is `None`). New syntax, compatible with the old interpreter, allows for convenient i...
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Customizing Import and Built-Ins
--- node100.html node91.html node98.html node1.html --- # Customizing Import and Built-Ins In preparation for a ``restricted execution mode'' which will be usable to run code received from an untrusted source (such as a WWW server or client), the mechanism by which modules are imported has been redesigned. It is now po...
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Python Tutorial
--- node1.html node1.html --- # Python Tutorial Guido van Rossum Dept. AA, CWI, P.O. Box 94079 1090 GB Amsterdam, The Netherlands E-mail: guido@cwi.nl 10 April 1995 Release 1.2 Copyright © 1991-1995 by Stichting Mathematisch Centrum, Amsterdam, The Netherlands. All Rights Reserved Permission to use, copy, modify, and d...
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