Python Basics – Quick Cheat Sheet

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Python is a high-level, interpreted language known for its simplicity and versatility. It is widely used in data science, web development, AI, and more. Below is a quick cheat sheet to help you get started with Python basics.

You Should Know:

1. Variables and Data Types

Python variables do not require explicit declaration. They are dynamically typed, meaning you can assign any type of data to a variable.


<h1>Example of variables and data types</h1>

x = 10 # Integer
y = 20.5 # Float
name = "Python" # String
is_valid = True # Boolean

2. Control Flow

Python supports conditional statements and loops for controlling the flow of execution.


<h1>If-Else Statement</h1>

if x > 10:
print("x is greater than 10")
else:
print("x is less than or equal to 10")

<h1>For Loop</h1>

for i in range(5):
print(i)

<h1>While Loop</h1>

count = 0
while count < 5:
print(count)
count += 1

3. Functions

Functions in Python are defined using the `def` keyword. You can also create anonymous functions using lambda.


<h1>Defining a function</h1>

def greet(name):
return f"Hello, {name}!"

<h1>Lambda function</h1>

square = lambda x: x ** 2
print(square(5)) # Output: 25

4. Error Handling

Use `try-except` blocks to handle exceptions gracefully.

try:
result = 10 / 0
except ZeroDivisionError:
print("Cannot divide by zero!")

5. Built-in Functions

Python provides several built-in functions like type(), len(), and print().


<h1>Using built-in functions</h1>

print(type(x)) # Output: <class 'int'>
print(len(name)) # Output: 6

What Undercode Say:

Python is a powerful and beginner-friendly programming language. Mastering its basics is essential for anyone venturing into data science, AI, or web development. Practice the following commands and concepts to solidify your understanding:

  • Linux Command to Run Python Script:
    python3 script.py
    

  • Windows Command to Run Python Script:

    python script.py
    

  • Check Python Version:

    python --version
    

  • Install Python Libraries:

    pip install numpy pandas
    

  • List Installed Packages:

    pip list
    

For further reading, visit the official Python documentation: https://docs.python.org/3/.

References:

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