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 current fashions like DeepSeek-R1 and Claude 3.5 in most traditional benchmark checks. Owing to this, ChatGPT powered by o3-mini has now turn out to be an on a regular basis companion for builders. It provides them an clever and environment friendly approach to sort out programming challenges—be it debugging, code technology, documentation, or information cleansing. This text lists 10 ChatGPT prompts that may assist you to unlock the complete potential of o3-mini on your coding duties. So, let’s get began!

1. Debugging Code Errors

Suppose you might be 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 might be not sure tips on how to repair it. o3-mini provides a fast approach to debug the difficulty and perceive what went mistaken.

Template Immediate: “I’ve a bit 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 bit 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 information
information = {
    "Product": ["Laptop", "Headphones", "Smartphone", "Monitor", "Mouse"],
    "Class": ["Electronics", "Electronics", "Electronics", "Accessories", "Accessories"],
    "Gross sales": ["$1000", "$200", "$800", "$300", "$50"]  # Gross sales values comprise a '$' signal
}

df = pd.DataFrame(information)

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

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

df = pd.DataFrame(information)

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

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

print(total_sales)

Output of Code:

2. Making a Code Template

When you could have a brand new mission at hand, it will probably usually be complicated on the place to begin. There could also be totally different approaches, or a number of steps concerned, or it could require libraries you aren’t acquainted with. In such circumstances, o3-mini can assist you get began with a fundamental code template and information you thru writing the complete code.

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

Pattern Immediate:

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

o3-mini’s Response:

3. Changing Code Between Languages

Let’s say you could have a bit of code written in a single programming language, however your mission 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 change this [source language] code to [target language] whereas sustaining logic and performance?”

Pattern Immediate:

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

from collections import Counter

# Pattern textual content enter
textual content = """
This can be 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()

# Rely phrase occurrences
word_counts = Counter(phrases)

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

Output of Code:

o3-mini’s Response:

// Pattern textual content enter
let textual content = `
This can be 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().exchange(/[^ws]/g, "").break up(/s+/);

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

phrases.forEach(phrase => );

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

Output of Code:

4. Bettering Code Readability

Whereas writing code for work, it is crucial that the code be readable and simple for all stakeholders to know. For this, you will have to jot down documentation, add code feedback, or refactor the code for higher readability. In such circumstances, 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 steadiness FROM customers WHERE id = ?", (user_id,)).fetchone()  
    
    if current_balance:  
        new_balance = current_balance[0] + quantity  
        cursor.execute("UPDATE customers SET steadiness = ? 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 steadiness of a person within the database.

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

    Returns:
    float: The up to date steadiness 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 steadiness of the person
    current_balance = cursor.execute(
        "SELECT steadiness FROM customers WHERE id = ?", (user_id,)
    ).fetchone()  
    
    if current_balance:  
        # Calculate the brand new steadiness
        new_balance = current_balance[0] + quantity  
        
        # Replace the person's steadiness within the database
        cursor.execute(
            "UPDATE customers SET steadiness = ? WHERE id = ?", (new_balance, user_id)
        )  
        
        # Commit the transaction
        conn.commit()  
        
        # Shut the connection
        conn.shut()  
        
        return new_balance  # Return the up to date steadiness
    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 Circumstances and Error Dealing with

You’re making an API request in Python, however your code doesn’t deal with circumstances 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/information")
information = response.json()

o3-mini’s Response:

import requests

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

    Parameters:
    url (str): The API endpoint to request information 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/information"
information = fetch_api_data(api_url)

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

6. Writing CI/CD Pipeline Configurations

Let’s suppose your group is deploying a Node.js software, and also you’ve been assigned the duty of organising an automatic CI/CD pipeline. It’s essential to configure GitHub Actions to run checks and deploy the app at any time when adjustments are pushed to the principle department. Right here’s a easy immediate you should 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.] mission 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 mission utilizing GitHub Actions that runs checks and deploys to AWS S3 on each push to the principle department?”

o3-mini’s Response:

identify: Node.js CI/CD Pipeline

on:
  push:
    branches:
      - fundamental  # Runs the workflow on pushes to the principle 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 take a look at

      - identify: Construct mission
        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 superb, however runs slowly on giant datasets? If this has been a roadblock in getting your job executed, right here’s how o3-mini can assist you optimize your code for extra environment friendly execution.

Template Immediate: “Are you able to optimize this code for efficiency? It presently 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 presently has inefficiencies in checking for prime numbers and runs slowly when trying to find primes in a wide variety (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):
    """Test 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  # Remove even numbers > 2

    # Test 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 type validation system for a web site and want a regex sample to validate electronic 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 electronic mail addresses?”

o3-mini’s Response:

import re

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

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

Output of Code:

9. Aiding with Information Cleansing and Processing

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

Template Immediate: “Are you able to assist clear and course of a dataset with points comparable 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? prospects.csv”

o3-mini’s Response:

import pandas as pd  

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

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

# 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 information (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("Information cleansing accomplished efficiently!")

Output of Code:

10. Writing Shell Scripts for Automation

I’m certain you’ll agree with me after I say loads of our work is repetitive in nature – be it continuously deploying functions or backing up information. As a substitute of operating these instructions manually each time, o3-mini can assist you automate them by means of 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) every single day at midnight utilizing cron?”

o3-mini’s Response:

1️. Shell Script (backup.sh)

#!/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 echo "Backup accomplished on $(date) to $BACKUP_DIR">>varlogbackup.log 2️. Make the Script Executable Run the next command to offer the script execution permissions: chmod +x /path/to/backup.sh 3️. Schedule Every 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 day by day at midnight (00:00). Conclusion As we have now on this article, o3-mini is able to dealing with every kind of coding duties from debugging complicated errors and optimizing code for higher efficiency, to writing CI/CD configurations, and changing code between languages. In a method, o3-mini has redefined how builders method coding challenges by offering clever, environment friendly, and correct options. So go forward, check out these prompts, and let o3-mini assist you to work smarter, not more durable! Regularly Requested Questions Q1. What makes o3-mini higher than different coding AI fashions? A. o3-mini is OpenAI’s most superior mannequin for coding and reasoning. It outperforms fashions like DeepSeek-R1 and Claude 3.5 in benchmark checks, making it a dependable selection for builders. Q2. Can o3-mini assist with debugging complicated errors? A. Sure, o3-mini can analyze error messages, establish the foundation trigger, and recommend fixes for varied programming languages. The above coding prompts can assist you leverage o3-mini for these duties. Q3. Does o3-mini assist a number of programming languages? A. Completely! o3-mini can help with Python, JavaScript, Java, C++, Rust, Go, and lots of extra languages. This fall. Can I take advantage of o3-mini to generate full mission templates? A. Sure, you may ask o3-mini to generate structured templates for initiatives, together with frameworks like Flask, Django, React, and Node.js. Q5. Can o3-mini convert code between languages? A. o3-mini offers extremely correct code translations whereas sustaining logic and performance, making it simpler to adapt code for various tech stacks. Q6. Can o3-mini optimize my current code for higher efficiency? A. Sure, it will probably analyze your code and recommend optimizations to enhance velocity, reminiscence utilization, and effectivity. The o3-mini immediate template given within the above article can assist you with such coding duties. Q7. How does o3-mini assist in writing cleaner and extra readable code? A. It may generate docstrings, add significant feedback, and refactor messy code to make it extra readable and maintainable. Q8. Can o3-mini write CI/CD configurations? A. Sure, it will probably generate CI/CD pipeline scripts for instruments like GitHub Actions, Jenkins, and GitLab CI/CD. You should use the o3-mini immediate template given within the above article on ChatGPT for this. Sabreena is a GenAI fanatic and tech editor who's obsessed with documenting the most recent developments that form the world. She's presently exploring the world of AI and Information Science because the Supervisor of Content material & Progress at Analytics Vidhya.

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1. Debugging Code Errors

Template Immediate: “I’ve a bit 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 bit 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 information
information = {
    "Product": ["Laptop", "Headphones", "Smartphone", "Monitor", "Mouse"],
    "Class": ["Electronics", "Electronics", "Electronics", "Accessories", "Accessories"],
    "Gross sales": ["$1000", "$200", "$800", "$300", "$50"]  # Gross sales values comprise a '$' signal
}

df = pd.DataFrame(information)

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

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

df = pd.DataFrame(information)

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

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

print(total_sales)

Output of Code:

2. Making a Code Template

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

Pattern Immediate:

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

o3-mini’s Response:

3. Changing Code Between Languages

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

Pattern Immediate:

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

from collections import Counter

# Pattern textual content enter
textual content = """
This can be 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()

# Rely phrase occurrences
word_counts = Counter(phrases)

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

Output of Code:

o3-mini’s Response:

// Pattern textual content enter
let textual content = `
This can be 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().exchange(/[^ws]/g, "").break up(/s+/);

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

phrases.forEach(phrase => );

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

Output of Code:

4. Bettering Code Readability

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 steadiness FROM customers WHERE id = ?", (user_id,)).fetchone()  
    
    if current_balance:  
        new_balance = current_balance[0] + quantity  
        cursor.execute("UPDATE customers SET steadiness = ? 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 steadiness of a person within the database.

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

    Returns:
    float: The up to date steadiness 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 steadiness of the person
    current_balance = cursor.execute(
        "SELECT steadiness FROM customers WHERE id = ?", (user_id,)
    ).fetchone()  
    
    if current_balance:  
        # Calculate the brand new steadiness
        new_balance = current_balance[0] + quantity  
        
        # Replace the person's steadiness within the database
        cursor.execute(
            "UPDATE customers SET steadiness = ? WHERE id = ?", (new_balance, user_id)
        )  
        
        # Commit the transaction
        conn.commit()  
        
        # Shut the connection
        conn.shut()  
        
        return new_balance  # Return the up to date steadiness
    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 Circumstances and Error Dealing with

You’re making an API request in Python, however your code doesn’t deal with circumstances 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/information")
information = response.json()

o3-mini’s Response:

import requests

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

    Parameters:
    url (str): The API endpoint to request information 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/information"
information = fetch_api_data(api_url)

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

6. Writing CI/CD Pipeline Configurations

Pattern Immediate:

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

o3-mini’s Response:

identify: Node.js CI/CD Pipeline

on:
  push:
    branches:
      - fundamental  # Runs the workflow on pushes to the principle 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 take a look at

      - identify: Construct mission
        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

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

Pattern Immediate:

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):
    """Test 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  # Remove even numbers > 2

    # Test 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)

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 electronic mail addresses?”

o3-mini’s Response:

import re

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

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

Output of Code:

9. Aiding with Information Cleansing and Processing

Template Immediate: “Are you able to assist clear and course of a dataset with points comparable 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? prospects.csv”

o3-mini’s Response:

import pandas as pd  

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

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

# 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 information (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("Information cleansing accomplished efficiently!")

Output of Code:

10. Writing Shell Scripts for Automation

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) every single day at midnight utilizing cron?”

o3-mini’s Response:

1️. Shell Script (backup.sh)

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

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

1. Debugging Code Errors

2. Making a Code Template

3. Changing Code Between Languages

4. Bettering Code Readability

5. Writing Code for Edge Circumstances and Error Dealing with

6. Writing CI/CD Pipeline Configurations

7. Code Optimization and Efficiency Enchancment

8. Producing Common Expressions (Regex)

9. Aiding with Information Cleansing and Processing

10. Writing Shell Scripts for Automation

Conclusion

Regularly Requested Questions

READ ALSO

1. Debugging Code Errors

2. Making a Code Template

3. Changing Code Between Languages

4. Bettering Code Readability

5. Writing Code for Edge Circumstances and Error Dealing with

6. Writing CI/CD Pipeline Configurations

7. Code Optimization and Efficiency Enchancment

8. Producing Common Expressions (Regex)

9. Aiding with Information Cleansing and Processing

10. Writing Shell Scripts for Automation

Conclusion

Regularly Requested Questions

Related Posts

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POPULAR NEWS

EDITOR'S PICK

About Us

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