Section 1.1: Understanding the 'def' Keyword

The def keyword is essential for defining functions in Python. Functions are reusable code blocks that perform specific tasks.

def hello():

print('hello')

To invoke the function, simply call its name:

hello()

Section 1.2: The 'return' Keyword

The return keyword indicates the output of a function.

def add10(n):

return n + 10

x = add10(4)

print(x) # Output: 14

Note that once the return statement is executed, no further code in that function runs.

Section 2.1: Exploring 'yield'

The yield keyword is similar to return, but it allows the function to continue executing after yielding a value. This means a function can have multiple outputs.

def test():

yield 1

yield 2

yield 3

for n in test():

print(n)

Output:

1

2

3

Section 2.2: Understanding 'lambda'

The lambda keyword is used for creating small anonymous functions.

add100 = lambda n: n + 100

This example illustrates how to define a function without a name.

Section 2.3: The 'None' Keyword

The None keyword represents a null value or no value at all.

def hello():

print('hello')

x = hello() # Output: hello

print(x) # Output: None

Section 2.4: Using 'with' for Context Management

The with keyword simplifies resource management, such as file handling.

with open('a.txt') as f:

# Operations with f

The context manager ensures that resources are properly managed and released.

Section 2.5: Understanding 'import' and 'from'

The import statement allows you to include external libraries in your code.

import numpy as np

import pandas as pd

The from keyword can be used to import specific components from a module.

from numpy import array

Section 2.6: The 'del' Keyword

The del keyword removes variables from the namespace.

a = 4

b = 5

del b

Attempting to print b after deletion will result in an error.