Cheat sheet - Python Keywords, Concepts, Functions
See also Python Programming - Getting Started
Following are terse descriptions for Python3 keywords, programming concepts, and commonly used functions. For more information, see w3schools for a bit more explanation and python.org for the language reference.
The following are heavily used in all levels of Python programming. This is a minimum set of keywords to know how to use.
break- exit the current loop
continue- in a loop, go to next iteration of the loop
is- determine whether two objects are the same object (not just value)
import, from- to load a module
def- declare a function
while- loop with only condition
if, elif, else- conditional statements (three keywords)
for- loop with that iterates through a list
return- keyword to send a value back from a function
and- boolean operator, True only if both sides are True
or- boolean operator, True if either side is True
not- boolean operator, negates
True, False- boolean values (two keywords)
del- remove from a list by position
try, except- handle an exception, basic use (2 keywords)
raise, assert- raise/indicate an exception (2 keywords)
in- test if something is inside of a list/string/tuple/dictionary
None- special value for a variable that has no value
pass- empty statement that does not do anything
These keywords are often not introduced or heavily used until the second Python course.
as, finally, with, else- exception handling, more keywords (4 keywords)
class- defining new class data type (for object-oriented programming)
lambda- create unnamed / anonymous function
global, nonlocal- access variables outside of current scope (2 keywords)
async, await- for writing asynchronous code with asynchio package (2 keywords)
yield- for creating generator functions
See this video for a demo and explanation of basic data types and variables.
These are terms that we use to describe programs. These are terms that have a precise meaning when talking about programs.
- string - text data type
- boolean - data type for True and False
- floating point - data type that stores numbers with fractional parts (e.g., 3.14 or 2.2)
- integer - data type that stores only integers
None- a special value in Python that means "nothing" but is different than 0, False, and ""
- variable - name for a place in memory to store values. Two basic things you do with a variable - (i) store a value into the variable, (ii) get the value from the variable.
- keywords - also called reserved words - these are names that should not be used for variable names because they have special meaning to python. Example:
foris used for loops and shouldn't be used as a variable name.
- function - also called procedures or methods - name for a block of code that does something and that your code can use when needed. Two basic things you can do with a function - (i) define what the function is (specify the code for the function), (ii) call the function later on in your code. Three main parts of defining function - (a) function code (called the body), (b) function parameters (aka input variables), (c) function return values. Three main parts of calling/using a function - (1) specify the arguments to the function (which are passed in to the parameters of the function), (2) call the function, (3) get the return value of the function. Note that the function prototype refers to the line that declares the function, which has the function name, return type, and list of parameters to the function. When a function is called, the arguments to the function are passed to the function (parameter variables are set equal to the arguments).
- flow chart - diagram that shows the steps / flow of control in a program (also used to diagram decision-making in other settings - e.g., diagnosis of an illness, managing a factory, ...)
- binary operator - operator that takes two values to produce a result. An example is addition, 2 + 3 results in 5. Another example is == comparison, 'hi' == 'bye' results in False because the two are not equal.
- unary operator - operator that takes one value to produce a result. An example is Boolean not, not True results in False.
- operator precedence - rules for which operators are evaluated first in an expression. For example, in 1 + 2 * 3, the multiplication is performed first, giving 1 + 6, and then the + is performed to result in 7. For Python, see python.org.
- operator associativity - rule whether operators of the same type are evaluated left-to-right or right-to-left. Math operators are left-to-right. For Python, see python.org.
Commonly Used Functions
int, float, str- functions to convert to integer, floating point number, or string
range- function to generate a sequence of numbers
len- function to get the length of a string, list, or tuple
open, read, write, close- functions for reading/writing text files and options 'r', 'w', 'a' for open
- string methods - isalpha, isdigit, split, join
- list methods -
sort, index, append, remove, copy
- tuple methods -
- dictionary methods -
keys, values, items
- syntax for using strings, lists, tuples dictionaries -
- methods in random module -
- methods in sys module -
- methods from the copy module -