Python Programming Tutorial by Mosh Hamadani

Introduction

• Multi-purpose programming language suitable for:
  • Machine learning and AI
  • Web development
  • Automation
• Popular frameworks and uses:
  • Django for web development (e.g., YouTube, Instagram)
  • Automate repetitive tasks

Setting Up Python Environment

1. Download Python

   • Visit python.org and download the latest version.
   • Ensure to add Python to PATH during installation (important for Windows users).

2. Install Code Editor

   • Recommended: PyCharm from jetbrains.com/pycharm
   • Choose the Community Edition (free and open-source).

Basics of Python Programming

Writing Your First Python Code

• Use print() function:
  • Example: print("Hello World")
• Understanding strings in Python:
  • Enclose text in single or double quotes.

Variables

• Store data temporarily in memory.
• Examples:
  • age = 20 (integer)
  • price = 19.95 (floating-point number)
  • first_name = "Mosh" (string)
  • is_online = True (boolean value)
• Note Python is case-sensitive.

User Input

• Use input() function to receive user input:
  • Example: name = input("What is your name?")
• String concatenation using + operator.

Type Conversion

• Convert between types using functions:
  • int(), float(), bool(), str()
• Example: Convert input to integer for calculations.

Arithmetic and Logical Operations

Arithmetic Operators

• Addition +, Subtraction -, Multiplication *, Division /
• Integer Division //, Modulus %, Exponentiation **
• Augmented assignment (e.g., x += 3)***

Operator Precedence

• Multiplication and division before addition and subtraction.
• Use parentheses () to change evaluation order.

Comparison Operators

• Greater than >, Less than <, Equals ==, Not equals !=

Logical Operators

• and, or, not for combining boolean expressions.

Control Flow

If Statements

• Use if, elif, else for decision making.
• Example: if temperature > 30: print("It's a hot day") elif temperature > 20: print("It's a nice day") else: print("It's cold")

Loops

• While Loop: Repeat a block of code as long as a condition is true.
• For Loop: Iterate over a sequence (e.g., list, range).

Range Function

• Generate sequences of numbers for iteration.
• Example: range(5) generates numbers 0 to 4.

Data Structures

Lists

• Ordered, mutable collection of items:
  • Example: names = ["John", "Bob", "Mosh"]
• Access and modify items using index.
• Methods: append(), insert(), remove(), clear()

Tuples

• Similar to lists but immutable.
• Use parentheses () to define.
• Suitable when data should not change.

Conclusion

• Tuples and lists are foundational data structures for managing collections in Python.
• Practice exercises provided to reinforce learning (e.g., weight converter program).

Further Learning

• Additional courses and resources available at codewithmosh.com