Key Points

Executing Python Code

Python code can be executed in an interactive environment (e.g., Python REPL).
Python code can be executed by writing and running Python scripts (ex., python script.py).
The Python REPL allows you to type Python code and see the results immediately.
Python scripts are files containing Python code that can be executed as a program.
Comments in Python start with the # symbol.
You can use ''' or """ to comment out multiple lines of code.

Python has built-in types that describe the nature of values and how they can be manipulated.
The type() function can be used to check the type of a variable or value.
Python is dynamically typed, meaning that the type of a variable can change at runtime.
Python provides built-in functions for converting between different data types.
Python supports various operators for performing arithmetic and other operations on values.
String slicing and indexing allow you to extract specific portions of a string based on their position.
Lists are a compound data type that can hold multiple values of different types and can be modified using slicing and indexing.

for loops are used to iterate over a sequence of items, while while loops are used to repeat code until a certain condition is no longer true.
The main logical operators in Python are == (equal to), != (not equal to), < (less than), > (greater than), <= (less than or equal to), and >= (greater than or equal to).
The if statement allows you to execute a block of code only if a specific condition is met, while the else statement allows you to execute a block of code if the condition is not met.
The elif statement allows you to check for multiple conditions in an if-else block, and only the first “True” condition will be executed.
Logical operators can be combined to create more complex conditions in if and elif statements.

Functions are reusable blocks of code that perform a specific task and can be called at any time.
Functions are defined using the def keyword followed by the function name and parentheses containing any parameters.
Lambda functions are another way to define functions and are escpecially useful when using higher-order functions.
Higher-order functions are functions that take other functions as arguments or return functions as their output, and are a powerful tool for creating abstractions and composing functions.