Python Tutorial Introduction

• Instructor: Mosh Hamadani
• Objective: Learn Python from scratch; suited for data science, machine learning, web development.
• No prior programming knowledge required.

What You Can Do with Python

• Multi-purpose language: Machine learning, data science, web development, automation.
• Popular frameworks & platforms: Django (web), used by YouTube, Instagram, etc.

Setting Up Python Environment

1. Download Python:

   • Visit python.org to download the latest version.
   • Important: Check the box to add Python to PATH (Windows users).

2. Install Code Editor:

   • Pycharm from jetbrains.com/pycharm
   • Opt for the free Community edition.
   • Follow installation instructions for respective OS (Windows/Mac).

Writing Your First Python Program

1. Create a new Python file (app.py):
   • Use print function to output text: print("Hello, World")
2. Variables:
   • Used to store data: age = 20
   • Changeable values, e.g., age = 30
3. Data Types:
   • Integers, floats, strings, booleans.
   • Example: price = 19.95, first_name = 'Mosh', is_online = True

User Input

• Use input() function to receive input.
• Example: name = input("What is your name?")
  • Concatenate strings: print("Hello " + name)

Type Conversion

• Convert input to different types using int(), float(), bool(), str().
• Example: Calculate age from birth year with type conversion.

String Methods

• Strings are objects with methods like upper(), lower(), replace(), find().

Arithmetic & Comparison Operators

• Arithmetic: Addition (+), Subtraction (-), Multiplication (*), Division (/), etc.
• Comparison: Equal (==), Not equal (!=), Greater than (>), etc.*

Logical Operators

• Logical AND, OR, NOT to build complex conditions.

Conditional Statements

• Use if, elif, and else for decision making.
• Example: Checking temperature and printing appropriate messages.

Loops

• While Loop: Repeat a block of code while a condition is true.
  • Example: Printing numbers 1 to 5.
• For Loop: Iterate over a sequence (e.g., list, range).
  • Example: Printing each number in a list on a new line.

Lists

• Define a list: names = ['John', 'Bob', 'Mosh']
• Access elements by index: names[0], negative indices supported.
• List methods: append(), insert(), remove(), clear().

Tuples

• Similar to lists but immutable.
• Example: numbers = (1, 2, 3)

Range Function

• Generates a sequence of numbers.
• Example: range(5) generates 0 to 4.

Final Note

• Additional Resources: Mosh's online coding school offers more in-depth Python courses with money-back guarantee.