Intro to Python and AI Programming (Full Day)

Introduction

This tutorial provides a comprehensive guide on getting started with Python and AI programming, based on a full-day workshop led by Eli the Computer Guy. Whether you're a beginner or someone looking to enhance your skills, this guide will help you set up your environment, understand key concepts, and start writing code to create AI-powered scripts.

Step 1: Understand Python and Its Importance

• What is Python?
  • Python is a high-level, interpreted programming language known for its readability and versatility. It's widely used for web development, data analysis, artificial intelligence, and more.
• Why Python Matters?
  • Its simplicity allows for quick learning and application, making it a favorite for both beginners and professionals in fields like AI.

Step 2: Set Up Your Development Environment

• Bring Your Own Computer
  • Ensure your system is equipped for programming. If you encounter issues, lab computers will be available.
• Install Visual Studio Code (VSCode)
  • Download and install VSCode from the official website.
  • Open VSCode and set it as your editor for Python projects.

Step 3: Install Python

• Download Python
  • Visit python.org and download the latest version.
• Install Python
  • Follow the installer instructions, ensuring you check the box to add Python to your system PATH.

Step 4: Set Up Python Environment

• Install Ollama AI Framework
  • Follow the instructions provided in the workshop or check the official Ollama documentation for setup.
• Verify Installation
  • Open a terminal or command prompt and type:

    python --version
    

  • Ensure that Python is installed correctly.

Step 5: Learn Python Syntax and PEP8 Styling

• Understand Basic Syntax
  • Familiarize yourself with Python's syntax rules, such as indentation and commenting.
• Follow PEP8 Guidelines
  • PEP8 is a style guide for Python code. Key points include:
    • Use 4 spaces per indentation level.
    • Limit lines to 79 characters.
    • Use blank lines to separate functions and classes.

Step 6: Work with Variables and Data Types

• Define Variables
  • Variables store data in your programs. Example:

    name = "Eli"
    age = 30
    

• Understand Data Types
  • Common data types include:
    • Strings
    • Integers
    • Floats
    • Lists
    • Dictionaries

Step 7: Implement Loops

• For Loop Example
  • Use for loops to iterate over a sequence:

    for i in range(5):
        print(i)
    

• While Loop Example
  • Use while loops for repeated execution until a condition is met:

    count = 0
    while count < 5:
        print(count)
        count += 1
    

Step 8: Work with REST APIs and JSON

• Understanding REST APIs
  • REST APIs allow communication between different software applications over the web.
• Using JSON
  • JSON (JavaScript Object Notation) is a lightweight data interchange format. Use the json module in Python to read/write JSON data.

Step 9: Read and Write to Files

• Reading Files
  • Use the following code to read a file:

    with open('file.txt', 'r') as file:
        data = file.read()
    

• Writing Files
  • To write data to a file:

    with open('file.txt', 'w') as file:
        file.write("Hello, World!")
    

Step 10: Get User Input

• Using Input Function
  • Use the input() function to get user input:

    user_name = input("Enter your name: ")
    print("Hello, " + user_name)
    

Step 11: Write Functions

• Defining Functions
  • Functions allow you to encapsulate code for reuse:

    def greet(name):
        return "Hello, " + name
    

Step 12: Manage Modules and Use PIP

• Importing Modules
  • Import built-in or third-party modules using the import statement:

    import math
    

• Using PIP
  • PIP (Python Package Installer) lets you install additional packages. Example:

    pip install requests
    

Step 13: Build AI-Powered Scripts with Ollama

• Integrating Ollama
  • Use the Ollama framework to create scripts that leverage AI capabilities.
• Example AI Script
  • Create a script that uses AI functionality provided by Ollama. Reference the official documentation for specific implementation details.

Conclusion

This tutorial has provided a roadmap to get started with Python and AI programming. You’ve learned how to set up your environment, understand Python basics, and begin writing code. Next steps include practicing coding, exploring more advanced topics, and building projects to reinforce your learning. For additional resources, check the provided links and GitHub repository to enhance your understanding further.