Python Course Overview

Introduction to Python

• Instructor: Mosh Hamedani
• Python is popular for automation, AI, and web applications (e.g., Instagram, Dropbox).
• Course includes core concepts and building three projects.

Projects Overview

1. Grocery Store Website

   • Built with Django.
   • Homepage with product listings and admin area for stock management.

2. Machine Learning Project

   • Predict music preferences based on user profile.

3. Automation Project

   • Automate repetitive tasks (e.g., processing spreadsheets).

Course Structure

• Designed for all learners, including beginners.
• Exercises provided to build confidence in coding.
• Mosh has 20 years of experience and has taught over 3 million people.

Setting Up Python

• Downloading Python:

  • Visit python.org.
  • Latest version (e.g., Python 3.7.2).
  • Important to check "Add Python to PATH" (Windows).

• Code Editor:

  • Install PyCharm (IDE for Python).
  • Community edition is free.

Writing Your First Python Program

• Create a Python file app.py.
• Example code to print your name:

  print("Your Name")
  

• Running the program shows output in the terminal.

Variables in Python

• Variables store data in memory.
• Example:

  price = 10
  print(price)
  

• Data Types:
  • Integers (e.g., 10), Floats (e.g., 4.5), Strings (e.g., "Mosh"), Booleans (True/False).

User Input

• Use input() for user data collection.
• Example:

  name = input("What is your name?")
  print(f"Hi {name}")
  

Control Flow

• If Statements:
  • Execute code based on conditions.
  • Use elif, else for multiple conditions.
• Loops:
  • for loops to iterate over ranges or collections.
  • while loops for repeated execution until a condition is met.

Functions

• Define functions using def keyword.

• Example:

  def greet_user(name):
      print(f"Hi {name}")
  

• Return values using return keyword.

Error Handling

• Use try and except blocks to handle errors.
• Example:

  try:
      value = int(input("Enter a number:"))
  except ValueError:
      print("Invalid input")
  

Classes and Objects

• Use classes to create new data types.
• Example of a simple class:

  class Dog:
      def bark(self):
          print("Woof!")
  

Modules and Packages

• Organize related code into modules.
• Use import keyword to include modules in your code.
• Create packages by organizing modules into directories with __init__.py files.

Built-in Functions and Libraries

• Python standard library contains various built-in modules for common tasks (e.g., math, random).
• Use pip to install additional packages from PyPI.

Conclusion

• The course covers core Python programming concepts and practical applications.
• Encouraged to practice coding and apply what is learned in projects.