Leveraging Prompts for Python Classes, Scripts, & Data Analysis

Generative AI, Python    |    Intermediate
  • 12 videos | 1h 46m 20s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 2 users Rating 5.0 of 2 users (2)
Classes and objects are fundamental concepts in Python programming, while data analysis and visualization are two of the most important applications of Python. You will begin this course by creating a simple class in Python and instantiating objects of that class. You will see how you can use prompts to define what you want your classes to do and then leverage generative AI tools to write the code you need for your classes, member variables, and methods. Next, you will perform real-world tasks like data analysis and visualization using Python libraries. Then you will use prompt engineering help to make HTTP requests to REST APIs to retrieve and add data. You will write and execute basic code in Python and accept input from the command line. To round off this course, you will import your script into another file the same way you would import a library such as Pandas.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Create classes using prompt engineering
    Add methods and variables to a class using prompt engineering
    Perform name mangling and create string representations
    Debug errors with chatgpt
    Use the pandas and matplotlib libraries for data analysis in python
  • Perform data manipulation with pandas and visualization with matplotlib
    Retrieve data from rest endpoints using generative artificial intelligence (ai)
    Run a python script
    Debug failures with chatgpt
    Import scripts as modules
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 24s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 13m
    Learn how to create classes using prompt engineering. FREE ACCESS
  • Locked
    3.  Adding Functionality to a Class
    10m 40s
    In this video, find out how to add methods and variables to a class using prompt engineering. FREE ACCESS
  • Locked
    4.  Mangling Names and Creating String Representations
    8m 20s
    Discover how to perform name mangling and create string representations. FREE ACCESS
  • Locked
    5.  Handling Errors with ChatGPT
    12m 29s
    During this video, you will learn how to debug errors with ChatGPT. FREE ACCESS
  • Locked
    6.  Using Prompt Engineering for Data Analysis
    10m 44s
    Find out how to use the pandas and matplotlib libraries for data analysis in Python. FREE ACCESS
  • Locked
    7.  Performing Data Manipulation and Visualization
    11m 32s
    In this video, discover how to perform data manipulation with pandas and visualization with matplotlib. FREE ACCESS
  • Locked
    8.  Making HTTP Requests with Generative AI Help
    11m 13s
    Learn how to retrieve data from REST endpoints using generative artificial intelligence (AI). FREE ACCESS
  • Locked
    9.  Executing a Python Script on the Command Line
    6m 55s
    In this video, find out how to run a Python script. FREE ACCESS
  • Locked
    10.  Debugging Failure with Generative AI
    5m 59s
    During this video, discover how to debug failures with ChatGPT. FREE ACCESS
  • Locked
    11.  Importing Scripts as Modules
    10m 19s
    Find out how to import scripts as modules. FREE ACCESS
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    12.  Course Summary
    2m 46s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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