Comprehensive Python Course Overview

Aug 9, 2024

Python Course Overview

Introduction

  • Instructor: Mosh
  • Focus: Learning Python programming basics.
  • Python's popularity: Used in automation, AI, web applications, etc.
  • Course Structure: Core concepts followed by three projects.

Project Details

  1. Website for Grocery Store
    • Homepage shows products.
    • Admin area for stock management.
    • Built using the Django framework.
  2. Machine Learning Project
    • Predicts music preferences based on profiles (like YouTube recommendations).
  3. Automation Project
    • Automates repetitive tasks (e.g., processing spreadsheets).

Audience

  • Suitable for all ages; beginners welcome.
  • Easy to learn with hand-holding approach.
  • Plenty of exercises included for practice.

Installing Python

  1. Download:
    • Go to python.org.
    • Click on Downloads; choose the latest version (e.g., Python 3.7.2).
  2. Installation:
    • Windows: Check "Add Python to PATH" during installation.
    • Mac: Follow setup wizard instructions to install.

Installing PyCharm (Code Editor)

  1. Download from jetbrains.com/pycharm.
  2. Installation Steps:
    • Windows: Follow installation wizard.
    • Mac: Drag to Applications.
  3. First Run:
    • Choose "Do not import settings" and "I've never used PyCharm".

Writing Your First Python Program

  • Create a new project "Hello World".
  • Create a new Python file app.py.
  • Write a simple program:
    print('I am Mosh Hamedani')
    
  • Run the program to see output.

Drawing Shapes in Python

  • Additional print statements to draw shapes:
    print('o----')  # Dog's head and body
    print(' |  |')  # Legs
    
  • Output: Drawing shapes using strings.

Learning Python Variables

  • Variables store data in memory:
    price = 10
    
    • Access using variable name (e.g., print(price)).
  • Data Types:
    • Integers, Floats, Strings, Booleans.

Getting User Input

  • Use input() function:
    name = input('What is your name? ')
    print(f'Hi {name}')
    

Error Handling

  • Use try and except to handle errors:
    try:
        age = int(input('Enter your age: '))
    except ValueError:
        print('Invalid value')
    

Creating Functions

  • Define reusable code blocks:
    def greet_user(name):
        print(f'Hello {name}')
    greet_user('Mosh')
    

Classes and Objects

  • Classes define new types:
    class Point:
        def __init__(self, x, y):
            self.x = x
            self.y = y
    

Inheritance

  • Allows new classes to inherit from existing ones:
    class Dog(Mammal):
        def bark(self):
            print('Woof')
    

Modules and Packages

  • Organize code into files:
    • Module: A single file.
    • Package: A directory of modules.

Working with Files

  • Use Path object from pathlib for file system operations:
    from pathlib import Path
    my_file = Path('example.txt')
    

Introduction to Machine Learning

  • Steps in a machine learning project:
    1. Import data.
    2. Clean data.
    3. Split data into training/testing.
    4. Create and train a model.
    5. Make predictions.
    6. Evaluate accuracy.

Conclusion

  • Support Mosh's work by liking and sharing videos.
  • Upcoming project: Building a web application using Django.