10 o3-mini Coding Prompts to Assist with All Your Coding Duties

o3-mini has confirmed to be OpenAI’s most superior mannequin for coding and reasoning. The o3-mini (excessive) mannequin has single-handedly outperformed different present fashions like DeepSeek-R1 and Claude 3.5 in most traditional benchmark checks. Owing to this, ChatGPT powered by o3-mini has now change into an on a regular basis companion for builders. It provides them an clever and environment friendly strategy to deal with programming challenges—be it debugging, code technology, documentation, or knowledge cleansing. This text lists 10 ChatGPT prompts that may enable you to unlock the complete potential of o3-mini in your coding duties. So, let’s get began!

1. Debugging Code Errors

Suppose you’re engaged on a Python script for an online app, and abruptly, you encounter an error that you just don’t perceive. The traceback message is lengthy and complicated, and you’re not sure learn how to repair it. o3-mini provides a fast strategy to debug the problem and perceive what went mistaken.

Template Immediate: “I’ve a chunk of code in [language] that’s throwing an error: [error message]. Are you able to assist me debug it? [insert code]”

Pattern Immediate:

“I’ve a chunk of Python code that’s throwing an error: AttributeError: ‘NoneType’ object has no attribute ‘group’. Are you able to assist me debug it?”

import pandas as pd

# Pattern knowledge
knowledge = {
    "Product": ["Laptop", "Headphones", "Smartphone", "Monitor", "Mouse"],
    "Class": ["Electronics", "Electronics", "Electronics", "Accessories", "Accessories"],
    "Gross sales": ["$1000", "$200", "$800", "$300", "$50"]  # Gross sales values include a '$' signal
}

df = pd.DataFrame(knowledge)

# Convert Gross sales column to drift
df["Sales"] = df["Sales"].astype(float)  # 🚨 This line throws a ValueError

# Calculate whole gross sales per class
total_sales = df.groupby("Class")["Sales"].sum()

print(total_sales)

Output of Code:

o3-mini’s Response:

import pandas as pd

# Pattern knowledge
knowledge = {
    "Product": ["Laptop", "Headphones", "Smartphone", "Monitor", "Mouse"],
    "Class": ["Electronics", "Electronics", "Electronics", "Accessories", "Accessories"],
    "Gross sales": ["$1000", "$200", "$800", "$300", "$50"]  # Gross sales values include a '$' signal
}

df = pd.DataFrame(knowledge)

# Convert Gross sales column to drift after stripping '$'
df["Sales"] = df["Sales"].str.change("$", "").astype(float)  # ✅ Fastened: Eliminated foreign money symbols

# Calculate whole gross sales per class
total_sales = df.groupby("Class")["Sales"].sum()

print(total_sales)

Output of Code:

2. Making a Code Template

When you’ve a brand new venture at hand, it could actually usually be complicated on the place to begin. There could also be completely different approaches, or a number of steps concerned, or it might require libraries you aren’t acquainted with. In such instances, o3-mini will help you get began with a fundamental code template and information you thru writing your complete code.

Template Immediate: “Are you able to present a structured template and information for writing a [language] venture that does [task]?”

Pattern Immediate:

“Are you able to present a structured template and information for establishing a Python Flask venture that connects to a PostgreSQL database?”

o3-mini’s Response:

3. Changing Code Between Languages

Let’s say you’ve a chunk of code written in a single programming language, however your venture requires it in one other. As a substitute of rewriting it manually, o3-mini can translate the code for you, preserving the logic and performance.

Template Immediate: “Can you exchange this [source language] code to [target language] whereas sustaining logic and performance?”

Pattern Immediate:

“Can you exchange this Python code to JavaScript (Node.js) whereas sustaining its logic and performance?”

from collections import Counter

# Pattern textual content enter
textual content = """
It is a pattern textual content. This textual content is supposed to check phrase frequency.
Some phrases seem greater than as soon as, some phrases seem solely as soon as.
"""

# Convert to lowercase and break up into phrases
phrases = textual content.decrease().break up()

# Depend phrase occurrences
word_counts = Counter(phrases)

# Print outcomes
for phrase, depend in word_counts.objects():
    print(f"{phrase}: {depend}")

Output of Code:

o3-mini’s Response:

// Pattern textual content enter
let textual content = `
It is a pattern textual content. This textual content is supposed to check phrase frequency.
Some phrases seem greater than as soon as, some phrases seem solely as soon as.
`;

// Convert to lowercase and break up into phrases
let phrases = textual content.toLowerCase().change(/[^ws]/g, "").break up(/s+/);

// Depend phrase occurrences
let wordCounts = new Map();

phrases.forEach(phrase => );

// Print outcomes
wordCounts.forEach((depend, phrase) => {
    console.log(`${phrase}: ${depend}`);
});

Output of Code:

4. Enhancing Code Readability

Whereas writing code for work, it’s important that the code be readable and straightforward for all stakeholders to grasp. For this, you’ll have to put in writing documentation, add code feedback, or refactor the code for higher readability. In such instances, o3-mini could be of nice assist.

Template Immediate: “Are you able to generate docstrings and feedback for this [language] operate?[insert code]”

OR “Are you able to refactor this [language] code to make it extra readable?[insert code]”

Pattern Immediate:

“Are you able to add docstrings and feedback to this Python operate that processes person enter and updates a database?”

import sqlite3  

def update_user_balance(user_id, quantity):  
    conn = sqlite3.join("database.db")  
    cursor = conn.cursor()  
    
    current_balance = cursor.execute("SELECT stability FROM customers WHERE id = ?", (user_id,)).fetchone()  
    
    if current_balance:  
        new_balance = current_balance[0] + quantity  
        cursor.execute("UPDATE customers SET stability = ? WHERE id = ?", (new_balance, user_id))  
        conn.commit()  
        conn.shut()  
        return new_balance  
    else:  
        conn.shut()  
        return None

o3-mini’s Response:

import sqlite3  

def update_user_balance(user_id, quantity):  
    """
    Updates the stability of a person within the database.

    Parameters:
    user_id (int): The distinctive ID of the person whose stability must be up to date.
    quantity (float): The quantity so as to add to (or subtract from) the person's stability.

    Returns:
    float: The up to date stability if the person exists.
    None: If the person doesn't exist within the database.
    """
    
    # Hook up with the SQLite database
    conn = sqlite3.join("database.db")  
    cursor = conn.cursor()  
    
    # Fetch the present stability of the person
    current_balance = cursor.execute(
        "SELECT stability FROM customers WHERE id = ?", (user_id,)
    ).fetchone()  
    
    if current_balance:  
        # Calculate the brand new stability
        new_balance = current_balance[0] + quantity  
        
        # Replace the person's stability within the database
        cursor.execute(
            "UPDATE customers SET stability = ? WHERE id = ?", (new_balance, user_id)
        )  
        
        # Commit the transaction
        conn.commit()  
        
        # Shut the connection
        conn.shut()  
        
        return new_balance  # Return the up to date stability
    else:  
        # Shut the connection if person doesn't exist
        conn.shut()  
        return None  # Return None if person ID is just not discovered

5. Writing Code for Edge Instances and Error Dealing with

You’re making an API request in Python, however your code doesn’t deal with instances the place the request fails. It’s essential to add error dealing with to make it extra sturdy.

Template Immediate: “Are you able to add correct error dealing with to this [language] operate? [insert function]”

Pattern Immediate:

“Are you able to add correct error dealing with to this Python operate making an API request?”

import requests
response = requests.get("https://api.instance.com/knowledge")
knowledge = response.json()

o3-mini’s Response:

import requests

def fetch_api_data(url):
    """
    Fetches knowledge from the given API URL with correct error dealing with.

    Parameters:
    url (str): The API endpoint to request knowledge from.

    Returns:
    dict or None: The JSON response as a dictionary if profitable, or None if an error happens.
    """
    attempt:
        response = requests.get(url, timeout=10)  # Set a timeout to keep away from hanging requests
        response.raise_for_status()  # Increase an error for HTTP errors (4xx and 5xx)

        return response.json()  # Parse and return JSON response

    besides requests.exceptions.Timeout:
        print("Error: The request timed out.")
    besides requests.exceptions.ConnectionError:
        print("Error: Failed to hook up with the server.")
    besides requests.exceptions.HTTPError as err:
        print(f"HTTP Error: {err}")
    besides requests.exceptions.RequestException as err:
        print(f"Request Error: {err}")
    besides ValueError:
        print("Error: Unable to decode JSON response.")

    return None  # Return None if any error happens

# Instance utilization
api_url = "https://api.instance.com/knowledge"
knowledge = fetch_api_data(api_url)

if knowledge:
    print("API Knowledge Retrieved Efficiently!")
else:
    print("Didn't retrieve API knowledge.")

6. Writing CI/CD Pipeline Configurations

Let’s suppose your staff is deploying a Node.js utility, and also you’ve been assigned the duty of establishing an automatic CI/CD pipeline. It’s essential to configure GitHub Actions to run checks and deploy the app every time adjustments are pushed to the primary department. Right here’s a easy immediate you need to use on o3-mini to arrange the deployment pipeline.

Template Immediate: “Are you able to generate a CI/CD pipeline configuration for a [technology stack: React, MongoDB, Node.js, etc.] venture utilizing [CI/CD tool: GitHub Actions, Jenkins, etc.] that runs checks and deploys to [deployment environment: AWS, AKS, GKE, etc.]?”

Pattern Immediate:

“Are you able to generate a CI/CD pipeline configuration for a Node.js venture utilizing GitHub Actions that runs checks and deploys to AWS S3 on each push to the primary department?”

o3-mini’s Response:

identify: Node.js CI/CD Pipeline

on:
  push:
    branches:
      - predominant  # Runs the workflow on pushes to the primary department

jobs:
  build-and-test:
    identify: Construct and Take a look at
    runs-on: ubuntu-latest

    steps:
      - identify: Checkout repository
        makes use of: actions/checkout@v3

      - identify: Arrange Node.js
        makes use of: actions/setup-node@v3
        with:
          node-version: 18

      - identify: Set up dependencies
        run: npm set up

      - identify: Run checks
        run: npm check

      - identify: Construct venture
        run: npm run construct

      - identify: Add construct artifacts
        makes use of: actions/upload-artifact@v3
        with:
          identify: build-output
          path: dist/
      - identify: Deploy to S3
        env:
          AWS_ACCESS_KEY_ID: ${{ secrets and techniques.AWS_ACCESS_KEY_ID }}
          AWS_SECRET_ACCESS_KEY: ${{ secrets and techniques.AWS_SECRET_ACCESS_KEY }}
          AWS_REGION: "us-east-1"  # Change to your AWS area
          S3_BUCKET: "your-s3-bucket-name"
        run: |
          aws s3 sync dist/ s3://$S3_BUCKET --delete

7. Code Optimization and Efficiency Enchancment

Have you ever ever been in conditions the place your Python operate works wonderful, however runs slowly on giant datasets? If this has been a roadblock in getting your job achieved, right here’s how o3-mini will help you optimize your code for extra environment friendly execution.

Template Immediate: “Are you able to optimize this code for efficiency? It at the moment has points with [mention inefficiencies] and runs slowly for [mention scenario]. [insert code]”

Pattern Immediate:

“Are you able to optimize this Python code for efficiency? It at the moment has inefficiencies in checking for prime numbers and runs slowly when looking for primes in a wide range (e.g., 1 to 100,000).”

def is_prime(n):
    if n < 2:
        return False
    for i in vary(2, n):
        if n % i == 0:
            return False
    return True


def find_primes(begin, finish):
    primes = []
    for num in vary(begin, finish + 1):  
        if is_prime(num):  
            primes.append(num)  
    return primes

# Instance utilization
start_range = 1
end_range = 10000
primes = find_primes(start_range, end_range)
print(f"Discovered {len(primes)} prime numbers.")

o3-mini’s Response:

import math

def is_prime(n):
    """Verify if a quantity is prime."""
    if n < 2:
        return False
    if n == 2:
        return True  # 2 is the one even prime quantity
    if n % 2 == 0:
        return False  # Eradicate even numbers > 2

    # Verify divisibility as much as √n
    for i in vary(3, int(math.sqrt(n)) + 1, 2):
        if n % i == 0:
            return False
    return True

def find_primes(begin, finish):
    """Discover all prime numbers in a given vary."""
    primes = []
    for num in vary(begin, finish + 1):
        if is_prime(num):
            primes.append(num)
    return primes

# Instance utilization
start_range = 1
end_range = 10000
primes = find_primes(start_range, end_range)
print(f"Discovered {len(primes)} prime numbers.")

Output of Code:

8. Producing Common Expressions (Regex)

o3-mini could be very useful in producing common expressions in code. Suppose you’re constructing a kind validation system for a web site and wish a regex sample to validate e mail addresses. Simply ask o3-mini to generate a regex sample utilizing this immediate.

Template Immediate: “Are you able to generate a regex sample in [language] for [task]?”

Pattern Immediate:

“Are you able to generate a regex sample in Python for validating e mail addresses?”

o3-mini’s Response:

import re

# Common expression for e mail validation
email_pattern = r"^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+.[a-zA-Z0-9-.]+$"

# Perform to validate emails
def is_valid_email(e mail):
    return re.match(email_pattern, e mail) is just not None

Output of Code:

9. Helping with Knowledge Cleansing and Processing

Whereas analyzing buyer gross sales knowledge in Pandas, you usually come throughout messy datasets, lacking values, duplicate entries, and knowledge in a number of codecs. Utilizing the next immediate on o3-mini is an environment friendly strategy to clear the information earlier than operating your evaluation.

Template Immediate: “Are you able to assist clear and course of a dataset with points akin to [list data issues] utilizing [programming language and library]? [insert dataset]”

Pattern Immediate:

“Are you able to assist clear and course of a dataset with lacking values, duplicate rows, incorrect date codecs, and inconsistent capitalization utilizing Python and Pandas? clients.csv”

o3-mini’s Response:

import pandas as pd  

# Load the dataset  
df = pd.read_csv("clients.csv")  

# Standardize column names (take away areas and convert to lowercase)  
df.columns = df.columns.str.strip().str.decrease().str.change(" ", "_")  

# Deal with lacking values  
df["age"].fillna(df["age"].median(), inplace=True)  # Fill lacking ages with median  
df["purchase_amount"].fillna(df["purchase_amount"].imply(), inplace=True)  # Fill lacking purchases with imply  

# Take away duplicate rows  
df = df.drop_duplicates()  

# Standardize textual content knowledge (capitalize names and cities)  
df["name"] = df["name"].str.title()  
df["city"] = df["city"].str.title()  
df["country"] = df["country"].str.higher()  

# Convert dates to a constant format  
df["join_date"] = pd.to_datetime(df["join_date"], errors="coerce", dayfirst=False)  

# Save the cleaned dataset  
df.to_csv("cleaned_customers.csv", index=False)

print("Knowledge cleansing accomplished efficiently!")

Output of Code:

10. Writing Shell Scripts for Automation

I’m positive you’ll agree with me once I say plenty of our work is repetitive in nature – be it continuously deploying purposes or backing up information. As a substitute of operating these instructions manually each time, o3-mini will help you automate them via coding. It may write you shell scripts to automate repetitive terminal instructions primarily based in your necessities.

Template Immediate: “Are you able to write a shell script to automate [task] utilizing [specific tools or commands]?”

Pattern Immediate:

“Are you able to write a shell script to mechanically again up a listing (/house/person/paperwork) to a different location (/mnt/backup) each day at midnight utilizing cron?”

o3-mini’s Response:

1️. Shell Script (backup.sh)

<pre class="wp-block-code"><code>#!/bin/bash

# Outline supply and vacation spot directories

SOURCE="/house/person/paperwork"
DESTINATION="/mnt/backup"
TIMESTAMP=$(date +"%Y-%m-%d_percentH-%M-%S")
BACKUP_DIR="$DESTINATION/backup_$TIMESTAMP"

# Create backup listing

mkdir -p "$BACKUP_DIR"

#Copy information whereas preserving attributes

rsync -av --delete "$SOURCE/" "$BACKUP_DIR/"

# Log the backup

2️. Make the Script Executable

Run the next command to offer the script execution permissions:

chmod +x /path/to/backup.sh

3️. Schedule Day by day Backup at Midnight with Cron

Open the crontab editor:

crontab -e

Add this line on the finish:

0 0 * * * /path/to/backup.sh

This schedules the script to run each day at midnight (00:00).

Conclusion

As we’ve on this article, o3-mini is able to dealing with all types of coding duties from debugging advanced errors and optimizing code for higher efficiency, to writing CI/CD configurations, and changing code between languages. In a approach, o3-mini has redefined how builders strategy coding challenges by offering clever, environment friendly, and correct options. So go forward, check out these prompts, and let o3-mini enable you to work smarter, not tougher!

Continuously Requested Questions

Sabreena is a GenAI fanatic and tech editor who’s captivated with documenting the newest developments that form the world. She’s at the moment exploring the world of AI and Knowledge Science because the Supervisor of Content material & Development at Analytics Vidhya.