====== Python Cheat Sheet ====== [[http://www.python.org/ | Python]] is a dynamic object-oriented programming language with extensive standard libraries. These notes summarize the [[http://docs.python.org/3.1/tutorial/ | Python 3.1 tutorial]]. * **python**/**python3.1** is the command-line interpreter with readline where available. * python -c command runs a single command. * %%>>> prompts for a line . ... prompts for a continuation of a previous line.%% * PYTHONSTARTUP can point to a file of startup commands * Expressions are evaluated and printed. * The last printed expression is assigned to _ . ===== Basics ===== * Comments start with # . * sys.argv is a list of strings with the script if any in sys.argv[0] * Variables can be assigned (using = ) without being defined but must be assigned before being used. * a,b = c,d does a multiple assignment. * Imaginary numbers can be created using complex(a,b) or a+bJ. .real and .imag will extract real and imaginary parts. * print("a","b",end="") prints a b with no newline at the end. ===== Functions ===== * To define a function or procedure define func(n,str="default"): define func(formal1, formal2, *arguments **keywords) * The default value for an argument is evaluated only once when the function is defined. * All arguments are passed using //call by object reference//. So changes are seen by caller. * * unpacks a list or dictionary for use in a function. * lambda x: x + n creates a small anonymous function. * A function should contain a triply quoted doc string at the start. This is accessible with func.__doc__ . * 4 spaces per indent, no tabs. CamelCase for classes lower_case with underscores for functions. ===== Lists ===== * list=[1 ,'a' , "b"] is a list of three items. * list[4] is 4th element. list[2:4] is second and third elements. list[:2] is first 2 elements. list[2:] is third element to last one. list[:] is the whole list. * Negative indexes count from last element. * List slices can be modified. list[3:3] can be used to insert elements at position 3. * len(list) returns length of the list. * Lists can be nested. * Other methods include append, pop, extend, index, count, sort, reverse. * Lists can be created from sequences using list comprehension vec = [2, 4, 6] [[x, x**2] for x in vec if x > 2] [[4, 16], [6, 36]] [x+y for x in vec for y in vec2 if x > 2] * Other sequence types include tuples ( (1,2) or 1,2) and sets ({1,2} or set(1,2)). ===== Input/Output ===== * Strings can be enclosed with double or single-quotes. * \ in a string by itself goes to the next line but does not insert a newline (\n does). * A raw string - r"" does no escaping. * + concatenates strings, * repeats them . * A string can be treated as a list of letters. * But strings can't be modified using slices or indexes. * [[http://docs.python.org/3.1/library/stdtypes.html#string-methods | String methods]] include strip, format, capitalize etc. * //formatstring.format(tuple)// is the [[http://docs.python.org/3.1/library/string.html#formatspec | new-style printf]] equivalent. The [[http://docs.python.org/3.1/library/stdtypes.html#old-string-formatting | old-style]] was //formatstring % (tuple)// which uses C-type format strings. * str() returns a readable representation, repr() returns a canonical representation of any object. * To open a file open('/tmp/workfile', 'w') * [[http://docs.python.org/3.1/library/stdtypes.html#file-objects | File methods]] include read, readline, write. * //pickle// contains [[http://docs.python.org/3.1/library/pickle.html | load and dump methods]] for serializing objects. Support should be added for new object types. ===== Control Flow ===== * Controlled by level of indentation. * //pass// is a NOOP . * while a<10: pass * for x in list: pass for x in range(1,5): pass * if a›10: pass elif a›5: pass else: * //break// and //continue// can be used * Loops may have else clauses for code executed after normal termination (not a break). ===== Assorted Collection Stuff ===== * Dictionaries are unordered sets of key value pairs e.g. { a:1, b:2} or dict([(a,1),(b,2)]) or dict(a=1,b=2) * Dictionary keys/values/items can be enumerated over. * sorted and reversed take in lists and return new lists. * enumerate takes in a list and returns a list of pairs where the first item in the pair is an integer starting with 0. * zip takes two or more lists with the same number of elements and creates a single list of lists with corresponding members grouped together. ===== Modules & Packages ===== * A //module// is a file of python definitions. * Definitions in a module can be accessed by importing the module. import fib from fib import fib1, fib2 * %%__name__%% is set to the name of the module or to %%__main__%% if called from the command line. * The search list for modules is the variable sys.path initialized from the directory containing the input script (or the current directory), PYTHONPATH and the installation-dependent default. * When a module is imported, a byte-code version is stored to module.pyc which speeds up successive loads. * There are many standard modules including sys which is common to all platforms. * dir(module) lists all names in a module sorted alphabetically. dir(builtins) shows all the built-in functions and variables. * Packages can be used to group modules. Packages should be in a named directory with an __init__.py file optionally containing initialization code. E.g. import sound.effects.echo . * . is the current package, .. is the parent package etc. ===== Error Handling ===== * Syntax errors are parsing errors, exceptions are runtime errors. * Exceptions are class objects in the exceptions module. [[http://docs.python.org/3.1/library/exceptions.html#bltin-exceptions | List of builtin exceptions]]. * Exception handling is supported using try..except..else..finally : try: result = x / y except ZeroDivisionError: print("division by zero!") except Exception as inst: print(type(inst)) # the exception instance print(inst.args) # arguments stored in .args print(inst) # also prints .args else: print("result is", result) finally: print("executing finally clause") * Errors can be raised using ''raise Exception('mine')'' or just ''raise'' in an exception handler. * New exception classes can be created and should derive from the Exception class. * ''with'' can be used to automatically call the cleanup actions of an object e.g. with open("myfile.txt") as f: for line in f: print(line) ===== Classes =====