Python Programming Tutorial

Introduction

• Learn Python from scratch.
• Suitable for data science, machine learning, and web development.
• No prior knowledge needed.
• Instructor: Mosh Hamadani.
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What Can You Do with Python?

• Multi-purpose Language:
  • Machine Learning & AI (Top language for ML & Data Science)
  • Web Development (using Django)
  • Automation (time-saving and productivity)
• Examples of websites using Python/Django:
  • YouTube
  • Instagram
  • Spotify
  • Dropbox
  • Pinterest

Installation

1. Go to python.org to download the latest version.
   • Select "Downloads" and choose the latest version.
   • Important: Check "Add Python to PATH" during installation (for Windows).
2. Install a code editor: PyCharm.
   • Download from JetBrains (Community Edition is free).
   • Install following wizard instructions.
3. Create a new Python project in PyCharm.
   • Name it "Hello World".

Writing Your First Code

• Create a new Python file (app.py).
• Write code:

  print("Hello, World!")  
  

• Run code using the run menu or shortcut.
• Output will show in the terminal window.

Variables

• Used to store data temporarily.
• Syntax: variable_name = value
• Example:

  age = 20  
  print(age)  
  

• Demonstrates variable declaration and output.

Data Types

• Primitive Types:
  • Numbers (integers, floats)
  • Strings (use quotes)
  • Booleans (True/False)
• Variable Naming: Use underscore for multiple words.

Input from Users

• Use input() function to receive user input.

  name = input("What is your name? ")  
  print("Hello, " + name)  
  

• String concatenation demonstrated.

Type Conversion

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

Arithmetic Operations

• Basic operators:
  • Addition (+), Subtraction (-), Multiplication (*), Division (/, //, %, **)
• Use parentheses for precedence in operations.

Comparison Operators

• Used to compare values:
  • >, <, >=, <=, ==, !=
• Return boolean values.

Logical Operators

• Combine boolean expressions:
  • and, or, not
• Used in conditional statements.

If Statements

• Syntax:

  if condition:  
      # code block  
  elif condition:  
      # code block  
  else:  
      # code block  
  

• Example for determining temperature conditions.

While Loops

• Used for repeated execution:

  while condition:  
      # code block  
  

• Example of printing numbers from 1 to 5.

Lists

• To store multiple items:

  names = ["John", "Bob", "Mosh"]  
  

• Access items using index (0-based).
• Modify lists using methods: append(), insert(), remove(), clear().
• Length of list: len(list).

Tuples

• Immutable sequences similar to lists.
• Defined using parentheses:

  numbers = (1, 2, 3)  
  

• Access via indexing, but cannot modify.

Conclusion

• Comprehensive overview of Python basics.
• Call to action for further learning resources.