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Reserved Words

Python General

multiply 2*3 = 6
integer Values without the decimal point int
floating point Values with decimal points and fractional parts float
precedence rules Multiplication and division before Addition and Subtraction. Parentheses explicitly specify the order in which operations should take place. Expressions are evaluated from left-to-right. PEMDAS : Please Excuse My Dear Aunt Sally
exponents 2**3 = 8
divide 6/2 = 3
integer quotient 14//4 = 3 the number of whole times 3 goes into 14
remainder 14%3 = 2 the remainder when 14 is divided by 3
absolute value abs(5) = 5 abs (-7) = 7 distance from zero on number line
minimum min(18, 5) = 5 returns the lesser number
maximum max (19, 5) = 19 returns the greater number
algebraic expressions evaluate to a number, whether of type int or float or one of the other number types that Python supports.
Boolean expressions evaluate to one of two values: True or False. These values are said to be of Boolean type denoted bool
not Comparison operators 4 != 5 True
greater than Comparison operators 5>4 True
less than Comparison operators 5<6 True
equal to Comparison operators 5 == (25/5) True
less than or equal to Comparison operators 4<=5 True
greater than or equal to Comparison operators 5>=6 False
unary applies to a single expression EX 3 != 4
binary Applies to 2 expressions EX 3>5 or 6+7 == 13 True EX 3>5 and 6+7 == 13 False
variable names Can be lowercase, uppercase, the underscore character (_), and, except for the first character, digits 0 through 9. 1. should be meaningful, and brief 2. multiple-word name: underscore or CamelCase 3. reserved words
Reserved words Booleans (5) 1. True 2. False 3. None (no value, can't decide T or F) 4. and 5. or 6. not
Reserved Words writing Loops (7) 1. def (define) 2. if 3. else ( this else that) 4. elif (this, or that, or that, or...) 5. for 6. in 7. while
Reserved Words for seeing results or getting data (2) 1. return 2. yield
Reserved Words for Variable definition and location (3) 1. import 2. from 3. lambda 4. class 5. is (is None) 6. global 7. nonlocal
lambda always 'return' statement go anywhere a function is expected def make_incrementor (n): return lambda x: x + n f = make_incrementor(2) g = make_incrementor(6) print f(42), g(42) 44 48 http://www.secnetix.de/olli/Python/lambda_functions.hawk
Rerserved Words DeBugging (5) 1. try 2. except 3. assert 4. finally 5. raise 6. with 7. as
Exceptions definition when Python can't deal with script occurs during execution disrupts program's instructions. must handle the exception immediately otherwise will terminate and come out. http://www.tutorialspoint.com/python/python_exceptions.htm
Exception Example try: You do your operations here except ExceptionI: execute this block except ExceptionII: execute this block else: no exception, then execute this block
pass does nothing can be a place holder It can be used when a statement is required syntactically but the program requires no action. commonly used for creating minimal classes null set
assert assert Expression[, Arguments] If false, AssertionError exception. Handled like any other exception using the try-except statement, or terminates the program and produces error http://www.tutorialspoint.com/python/assertions_in_python.htm
finally place to put any code that must execute, regardless of previous errors
break stops at the first value in range that fulfills statement stops a (for) or (while) Loop, kind of control, stops the smallest tier, doesn't go into else http://docs.python.org/release/1.5/tut/node23.html
Reserved Words control 1. break 2. continue 3. pass 4. del
continue go to next value in range to test
raise flags error/exception to be checked later
class a group of objects that have the same functions
with simplifies exception handling encapsulates common preparation cleans up tasks in so-called context managers. This allows common try-except-finally usage patterns to be encapsulated for convenient reuse.
yield doesn't return a list, this returns an iterator So if you need the primes one at a time, in order, perhaps to call a function on each one, an iterator might be good.
from Import names from a module. like math
global defined outside function, access throughout program
local defined inside function body, accessed only inside declared function, not reserved
del dict = {'Name': 'Zara', 'Class': 'First'}; del dict['Name']; # remove entry with key 'Name' dict.clear(); # remove all entries in dict del dict ; # delete entire dictionary
Created by: kbaldwin