Week 6 Zoom Session Summary Of March 14 LANA Session 1

LANA
Python Class Summary – Algorithmic Thinking

Python Class Summary

Leveraging AI Tools for Python Programming

March 14, 2025
5:00 PM – 7:00 PM
Aalek Rai & Team

Session Overview

Overview of the Session

The session focused on leveraging AI tools to facilitate Python programming, with a specific emphasis on conditional statements. The instructors provided detailed insights into two primary AI-based tools that can significantly enhance learning and coding efficiency. They also discussed how AI tools can complement traditional programming methods, improve debugging skills, and increase productivity.

Objectives of the Session

  • Understanding how AI can assist in Python programming.
  • Learning about tools that help visualize code execution.
  • Exploring AI-powered code completion tools.
  • Encouraging students to integrate AI tools into their workflow for efficiency.

Tools Discussed

1

Python Tutor

A web-based tool designed to visualize code execution in real-time.

  • Allows users to step through code line by line, making it easier to debug and understand logic.
  • Helps students understand variable changes, function calls, and loops interactively.
  • Demonstrated with real-life examples, where students saw how their code executed step-by-step.
  • Highlighted how it can be a crucial learning aid, especially for beginners struggling with conceptual clarity.
2

Tab 9 for VS Code

An AI-powered code completion and suggestion tool.

  • Seamlessly integrates with VS Code to provide smart, real-time code suggestions.
  • Offers intelligent autocomplete, reducing coding errors and improving efficiency.
  • Demonstrated how it can predict full lines of code based on context.
  • The session covered installation, configuration, and best practices for using Tab 9 effectively.

VS Code Installation Guide

How to Install VS Code and Open a Folder

1. Install VS Code:

  • Go to your web browser and search for “VS Code”
  • Click on the official VS Code website
  • Download the installer for your operating system
  • Run the installer and follow the prompts to complete installation

2. Open a Folder in VS Code:

  • Open VS Code
  • Go to File > Open Folder (or use the keyboard shortcut Ctrl+K Ctrl+O)
  • Navigate to the folder you want to open
  • Select the folder and click “Select Folder”

Alternatively, you can open a folder from File Explorer:

  • Right-click on the folder you want to open
  • Select “Open with Code” if available, or
  • Open Command Prompt in that folder location
  • Type “code .” (code space dot) and press Enter

To-Do Activity: “Fix the Bug”

Identify and fix the error in the following program:

number = 10 if number > 5: print(“Greater than five”) else number <= 5: print("Not greater than five")

Task:

  • Identify the syntax error in the code.
  • Correct the issue so the program runs without errors.
  • Discuss the corrected version and why the original code had a problem.

Solution:

Identified Error:

  • The else statement is incorrectly written.
  • The error is in else number <= 5: since else cannot have a condition.

Corrected Code:

number = 10 if number > 5: print("Greater than five") else: print("Not greater than five")

Explanation of Fix:

  • The else statement should be a standalone block without any conditions.
  • If a condition is required, an elif statement should be used instead.

Alternative Version (Using elif properly):

number = 10 if number > 5: print("Greater than five") elif number <= 5: print("Not greater than five")

Demonstrations and Insights

1

Python Tutor Demonstration

Showed how Python Tutor visualizes execution flow and variable changes, making it an effective debugging tool.

2

Tab 9 Implementation

Walkthrough of installing and integrating Tab 9 with VS Code. Demonstrated real-time autocomplete, error detection, and code snippets.

3

Comparison of AI-powered tools vs. Manual Debugging

Discussed the balance between AI assistance and traditional problem-solving skills, ensuring students understand the logic behind the code rather than just relying on AI suggestions.

Key Takeaways

  • AI tools can accelerate learning but should not replace fundamental programming knowledge.
  • Python Tutor is excellent for visualizing how code executes, aiding in better comprehension.
  • Tab 9 enhances coding efficiency by predicting and suggesting relevant code, reducing errors.
  • Debugging skills are essential, as AI-powered tools cannot always provide contextually accurate solutions.
  • AI tools should complement rather than replace creativity and problem-solving abilities.

Homework Overview

1

Homework 1: Using PythonTutor.com

Write a program that simulates a simple decision-making process, such as choosing an outfit based on weather conditions.

Submission: Provide a screenshot of the code along with a brief explanation of each decision step.

2

Homework 2: Using VS Code with Tabnine

Write a program that evaluates multiple conditions (for example, checking if a student passed or failed based on marks, with an additional condition to indicate distinction if marks are above 90).

Submission: Provide before-and-after screenshots (especially if you encountered and fixed errors) with a written explanation of your debugging process.

Additional Student Questions and Answers

FAQs

Can Python Tutor be used for advanced concepts?

Yes, Python Tutor supports functions, recursion, and object-oriented programming, though it has some limitations for very large programs.

How does Tab 9 compare to GitHub Copilot?

Tab 9 is efficient for code suggestions but is not as advanced as GitHub Copilot, which provides contextual suggestions based on repositories and previous code patterns.

Is there a free version of Tab 9?

Yes, but the premium version offers better AI-powered completion and additional features.

Conclusion

Final Thoughts

The session concluded with a strong emphasis on using AI tools responsibly. While these tools can significantly streamline coding and learning, mastering the fundamentals of Python remains essential. The instructors encouraged participants to use AI tools as learning aids rather than as a substitute for problem-solving skills.

This session provided valuable insights into AI-powered learning tools, offering a balanced perspective on their benefits and limitations in Python programming.

© 2025 Python Programming Class | Leveraging AI Tools for Python Programming

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