Python Programming Tutorial

Introduction

• Presenter: Mosh Hamadani
• Aim: Learn Python for data science, machine learning, or web development from scratch
• No prior programming knowledge required

What You Can Do with Python

• Machine Learning & AI: Python is top-ranked for data science projects
• Web Development: Use Django to build websites (e.g., YouTube, Instagram)
• Automation: Streamline repetitive tasks

Setting Up Python

• Download Python: Go to python.org and download the latest version
• Ensure Path is Set: Check "Add Python to PATH" during installation on Windows

Installing a Code Editor

• Pycharm: Recommended IDE, available in Professional (paid) and Community (free) editions
• Setup: Download and install, then configure default settings

Writing Your First Python Code

• Create a new project and file in Pycharm
• Print Statement: Use print("Hello World") to display messages

Variables in Python

• Definition: Store data temporarily (e.g., age = 20)
• Types: Integers, floats, strings, and booleans
• Boolean Values: True or False
• Updating Variables: Change the value by reassigning

Receiving User Input

• Input Function: input("What is your name?") for user interaction
• Concatenation: Combine strings using + (e.g., "Hello " + name)

Data Type Conversion

• Convert Types: Use int(), float(), bool(), and str()
• Example: Convert user input (string) to an integer for calculations

Working with Strings

• String Methods: upper(), lower(), find(), replace()
• Immutability: Strings cannot be changed after creation

Arithmetic Operations

• Operators: +, -, *, /, //, %, **
• Augmented Assignment: x += 3
• Operator Precedence: Use parentheses to set order

Comparison and Logical Operators

• Comparison: >, >=, <, <=, ==, !=
• Logical: and, or, not

Control Flow with If Statements

• Syntax: if, elif, else
• Use Case: Make decisions based on conditions

Loops in Python

• While Loops: Repeat code while a condition is true
• For Loops: Iterate over sequences (lists, strings, etc.)

Lists and Operations

• Lists: Ordered collection of elements
• Methods: append(), insert(), remove(), clear()
• Slicing: Access sublists using start:end syntax

The Range Function

• Purpose: Generate a sequence of numbers
• Syntax: range(start, end, step)

Tuples in Python

• Definition: Immutable lists
• Use Case: Ensure data integrity
• Methods: count(), index()

Conclusion

• Further Learning: Comprehensive courses available at codewithmosh.com
• Additional Resources: Tutorials on web/mobile development, 30-day money-back guarantee