Python Definitions

Python, being a dynamically typed language, offers a variety of value types (data types) and keywords that are integral to its programming structure. Here's a list of some common value types and keywords along with their definitions:

Value Types (Data Types)

int: Represents integer values. Example: 5, -3.
float: Represents floating-point numbers (decimals). Example: 3.14, -0.001.
str: String type for text. Example: "Hello", 'Python'.
bool: Boolean type, representing True or False.
list: An ordered, mutable (changeable) collection of items. Example: [1, 2, 3], ['a', 'b', 'c'].
tuple: An ordered, immutable collection of items. Example: (1, 2, 3), ('a', 'b', 'c').
dict: Dictionary type, an unordered collection of key-value pairs. Example: {'name': 'Alice', 'age': 25}.
set: An unordered collection of unique items. Example: {1, 2, 3}.
NoneType: Special type representing the absence of a value or a null value. Example: None.

Keywords

def: Used to define a function. Example: def my_function():.
return: Used to return a value from a function.
class: Used to define a class.
import, from: Used to import modules or specific functions, classes, etc., from modules.
as: Used in import statements to give an imported module a different alias, or with try...except blocks to rename exceptions.
if, elif, else: Conditional statements.
for, while: Loop control statements.
break: Exits a loop.
continue: Skips the current iteration in a loop.
try, except, finally, raise: Exception handling keywords.
with: Used for exception handling in resource management (like file reading/writing).
global: Declares a variable as global.
nonlocal: Declares a variable as non-local (useful in nested functions).
lambda: Used to create an anonymous function.
yield: Used in a function like return, but for generator functions.
del: Deletes an object.
pass: A null statement, a placeholder for future code.
assert: Used for debugging purposes to check conditions that should always be True.
in, not in: Membership operators.
is, is not: Identity operators.

Last updated 7 months ago

Python Definitions

Value Types (Data Types)

int: Represents integer values. Example: 5, -3.
float: Represents floating-point numbers (decimals). Example: 3.14, -0.001.
str: String type for text. Example: "Hello", 'Python'.
bool: Boolean type, representing True or False.
list: An ordered, mutable (changeable) collection of items. Example: [1, 2, 3], ['a', 'b', 'c'].
tuple: An ordered, immutable collection of items. Example: (1, 2, 3), ('a', 'b', 'c').
dict: Dictionary type, an unordered collection of key-value pairs. Example: {'name': 'Alice', 'age': 25}.
set: An unordered collection of unique items. Example: {1, 2, 3}.
NoneType: Special type representing the absence of a value or a null value. Example: None.

Keywords

def: Used to define a function. Example: def my_function():.
return: Used to return a value from a function.
class: Used to define a class.
import, from: Used to import modules or specific functions, classes, etc., from modules.
as: Used in import statements to give an imported module a different alias, or with try...except blocks to rename exceptions.
if, elif, else: Conditional statements.
for, while: Loop control statements.
break: Exits a loop.
continue: Skips the current iteration in a loop.
try, except, finally, raise: Exception handling keywords.
with: Used for exception handling in resource management (like file reading/writing).
global: Declares a variable as global.
nonlocal: Declares a variable as non-local (useful in nested functions).
lambda: Used to create an anonymous function.
yield: Used in a function like return, but for generator functions.
del: Deletes an object.
pass: A null statement, a placeholder for future code.
assert: Used for debugging purposes to check conditions that should always be True.
in, not in: Membership operators.
is, is not: Identity operators.

Last updated 7 months ago