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Reserved Words
Python General
| Term | Definition |
|---|---|
| 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 |
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kbaldwin
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