Coding with Prompts - 8.2 | Prompt Engineering for Technical Applications (Code, Math, Data) | Prompt Engineering fundamental course
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Grades

Grade 8 Grade 9 Grade 10 Grade 11 Grade 12

Curriculum

CBSE ICSE IB
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβ€”perfect for learners of all ages.

Typing
Memory
Math
English Adventures
Knowledge

8.2 - Coding with Prompts

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Practice

Interactive Audio Lesson

Listen to a student-teacher conversation explaining the topic in a relatable way.

Basic Code Generation

Unlock Audio Lesson

Signup and Enroll to the course for listening the Audio Lesson

0:00
Teacher
Teacher

Let's start by generating code. Can anyone tell me what kind of prompt we might use to generate a Python function?

Student 1
Student 1

How about asking for a function to check if a number is a palindrome?

Teacher
Teacher

Great! We can use a prompt like, 'Write a Python function to check if a number is a palindrome.' What would the output look like?

Student 2
Student 2

It should return a Boolean, right? True if it's a palindrome, false otherwise?

Teacher
Teacher

Exactly! So, using precise language like 'function' and 'return Boolean' helps clarify our intentions. Can anyone summarize what we learned so far?

Student 3
Student 3

We need to be clear and precise in our prompts to get accurate code outputs.

Teacher
Teacher

Perfect! Let’s keep that in mind as we proceed with more examples.

Multistep Instructions

Unlock Audio Lesson

Signup and Enroll to the course for listening the Audio Lesson

0:00
Teacher
Teacher

Now, let’s talk about multistep instructions. Can someone give me an example of what we can ask?

Student 4
Student 4

Maybe to write a script that reads a CSV and filters data?

Teacher
Teacher

Exactly! We could say, 'Write a Python script that reads a CSV file, filters rows where age is greater than 30, and saves the output.' Why do you think we should use delimiters in this case?

Student 1
Student 1

To keep the code readable and organized!

Teacher
Teacher

Correct! Let's practice creating such prompts to generate sections of code together.

Debugging and Fixes

Unlock Audio Lesson

Signup and Enroll to the course for listening the Audio Lesson

0:00
Teacher
Teacher

Next, let’s discuss debugging. Who can provide a simple error-rich code example?

Student 2
Student 2

What about trying to log an undefined index from an array?

Teacher
Teacher

Good choice! We can prompt the model to, 'Fix this error in JavaScript code: let x = [1, 2, 3]; console.log(x[3].toUpperCase());' What type of response should we expect?

Student 3
Student 3

It should tell us that x[3] is undefined.

Teacher
Teacher

Yes! Recognizing and explaining errors is crucial for debugging. Why is this skill important for us as programmers?

Student 4
Student 4

To improve our problem-solving skills and ensure our code works correctly.

Teacher
Teacher

Excellent! Always question and verify your outputs.

Explaining Code

Unlock Audio Lesson

Signup and Enroll to the course for listening the Audio Lesson

0:00
Teacher
Teacher

Lastly, how about explaining code? If I ask you to explain a C++ loop line by line, how should we frame our prompt?

Student 1
Student 1

We should specify the audience too, right? Like explaining to a beginner?

Teacher
Teacher

Exactly! We can say, 'Explain this C++ code line-by-line to a beginner:' so that it tailors the explanation. Why might this be useful?

Student 2
Student 2

To help those who are new to programming understand better?

Teacher
Teacher

Yes! Engaging in tailored explanations enhances learning. Remember that you can define your audience to improve interactions.

Introduction & Overview

Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.

Quick Overview

This section discusses how to effectively use prompts for code generation, debugging, and technical explanations using language models.

Standard

In this section, we explore the art of coding with prompts, covering basic code generation, multistep instructions, debugging, and providing clarifications on code to various audiences. Techniques such as precise language and the use of delimiters improve clarity and efficiency in technical tasks.

Detailed

Coding with Prompts

This section delves into the effective usage of prompt engineering to facilitate coding tasks through language models. The main focus is divided into three significant areas:

  1. Basic Code Generation: Here, users learn to construct prompts that ask for specific programming tasks, such as creating a Python function to check for palindromes. The key to success lies in using precise language that clearly defines the expected output type (e.g., function, Boolean value).
  2. Multistep Instructions: Prompts can instruct a model to execute more complex tasks sequentially. For instance, a request to create a Python script for filtering and saving data from a CSV file utilizes delimiters to maintain clarity in longer code outputs, ensuring the generated code is easy to read and understand.
  3. Debugging and Fixes: Prompting the language model for debugging involves supplying problematic code and asking for an explanation of errors. For example, identifying that accessing an undefined index in an array leads to an error in JavaScript demonstrates the importance of error awareness when coding.
  4. Explaining Code: The section also discusses how to prompt a model to explain code snippets in varied detail levels, tailored to the audience's expertise, thereby enhancing the educational aspect of programming.

Overall, this section illustrates that precise and structured prompts lead to high-quality technical outputs, enabling users to harness the full potential of AI in coding tasks.

Audio Book

Dive deep into the subject with an immersive audiobook experience.

Basic Code Generation

Unlock Audio Book

Signup and Enroll to the course for listening the Audio Book

πŸ”Ή Basic Code Generation
Prompt:
β€œWrite a Python function to check if a number is a palindrome.”
Output:

def is_palindrome(n):
    return str(n) == str(n)[::-1]

βœ… Use precise language: "function", "Python", "return Boolean".

Detailed Explanation

In this section, we learn how to generate basic code using prompts. A prompt in this context is a specific instruction we give an AI to create a piece of code. For example, asking the AI to write a Python function that checks if a number is a palindrome means we're instructing it to come up with a code that can identify whether a number reads the same forwards and backwards. The output provided shows the code itself, which defines a function is_palindrome. This function converts the number n into a string and checks if it is equal to its reverse (str(n)[::-1]). It's important to use precise language in the prompt because it helps the AI understand exactly what you are asking for.

Examples & Analogies

Think of this like asking a chef to make a specific dish. If you just say, 'make something with chicken', the chef might end up making a soup, a salad, or a roast. But if you say, 'make a chicken salad', the chef knows exactly what to do. This is similar to how precise language in prompts helps the AI produce the exact code you need.

Multistep Instruction

Unlock Audio Book

Signup and Enroll to the course for listening the Audio Book

πŸ”Ή Multistep Instruction
Prompt:
β€œWrite a Python script that reads a CSV file, filters rows where age > 30, and saves the output.”
Use delimiters for long code:

# script goes here

Detailed Explanation

This chunk explores how to give multistep instructions to an AI to perform a specific coding task. In the example, the prompt asks the AI to create a Python script capable of reading data from a CSV file, filtering the rows based on certain criteria (in this case, where the age is greater than 30), and then saving the filtered data somewhere. Using delimiters helps to clearly separate the code from the rest of the prompt, making it more readable and reducing potential misinterpretations of the instructions. Each step can be seen as a building block toward completing the overall task.

Examples & Analogies

Imagine you're assembling furniture from a store. If the instructions you get include a detailed series of steps – like 'first attach the legs, then place the tabletop on top' – you can follow along easily. On the other hand, if the instructions aren't clear or if parts of it are mixed in with irrelevant information, you might end up assembling something incorrectly. The same principle applies to coding instructions with AI.

Debugging and Fixes

Unlock Audio Book

Signup and Enroll to the course for listening the Audio Book

πŸ”Ή Debugging and Fixes
Prompt:
β€œFix this error in JavaScript code:

let x = [1, 2, 3];
console.log(x[3].toUpperCase());

Explain the error.”
Output:
β€œx[3] is undefined, so calling toUpperCase() throws an error.”

Detailed Explanation

This section deals with debugging code using prompts. When providing a prompt to the AI, the user presents a piece of code with an error and asks the AI to identify and explain the error. The example shows JavaScript code that attempts to access an index in an array that does not exist (x[3]), resulting in an 'undefined' value, which causes an error when the method toUpperCase() is called on it. The AI explains that the index is out of range for the array defined, which has only three elements indexed from 0 to 2.

Examples & Analogies

Imagine you're trying to find a specific book on a shelf, but the shelf only has two books. If you reach for the third book that isn’t there, you’re going to be confused and frustrated. Similarly, the code tries to 'reach' for something that doesn't exist, causing an error. Debugging helps identify these missteps just like asking a librarian could clarify which books are actually available.

Definitions & Key Concepts

Learn essential terms and foundational ideas that form the basis of the topic.

Key Concepts

  • Precise Language: Using specific terms in prompts helps maximize response quality.

  • Structured Prompts: Relevant prompts should be well-structured, showing clarity in tasks.

  • Error Recognition: Knowing how to identify and explain errors is crucial for effective programming.

Examples & Real-Life Applications

See how the concepts apply in real-world scenarios to understand their practical implications.

Examples

  • Example of basic code generation: Write a function to check if a string is a palindrome.

  • Example of debugging: Fix an error where an array index is out of bounds.

Memory Aids

Use mnemonics, acronyms, or visual cues to help remember key information more easily.

🎡 Rhymes Time

  • Code prompts neat and precise, make your output look really nice.

πŸ“– Fascinating Stories

  • Imagine a programmer lost in the forest of code. They use prompts like a compass to guide them to their destination of clear output.

🧠 Other Memory Gems

  • P.E.P. - Prompt, Execute, Produce. Follow this cycle in coding.

🎯 Super Acronyms

Code

  • Clear
  • Organized
  • Direct
  • Efficient.

Flash Cards

Review key concepts with flashcards.

Glossary of Terms

Review the Definitions for terms.

  • Term: Delimiter

    Definition:

    Symbols or markers that separate sections of code for clarity and readability.