However, only a few people are utilising the full potential of these powerful AI tools. One needs to know how to use AI tools to get maximum benefit without wasting time. To achieve this, we need to provide effective prompts so that AI tools can understand one’s requirements and provide content accordingly. Providing accurate prompts to get the required solution from Gen AI is termed Prompt Engineering. Prompt Engineering helps us save time and effort.

Below are the 5 ChatGPT prompts. You can copy and paste them into ChatGPT input to get started with software development and upgrading your software skills.

1. Learning a New Programming Language

“I want to start from basics to Learn [Python/JavaScript/Go, etc.]. Teach me its in-and-out syntax, data structures, best practices, etc. Provide some hands-on coding exercises, practical examples, and debugging techniques. Slowly, introduce the advanced topics, but with clear explanations, examples, and code snippets on OOPS, multithreading and performance optimization!”

2. Building real-world projects

“Create a mini-[web app, mobile app, API] that uses [React, Python, Django, Node.js]. Provide the basics and help me step-wise by developing a complete app, starting with design and moving to database, authentication, and deployment. Also, share coding snippets, best practices, and debugging advice. Finally, suggest ways to improve scalability and security.”

3. Understanding System Design Concepts

“Explain systems design-based real-world applications. Build systems like a ride-hailing app or a social media platform that are scalable and highly available. Explain load balancing, caching, microservices, database sharding, and failover strategies in this area. Include a thorough breakdown, diagrams, best practices, and trade-off issues.”

4. Problem-Solving Skills Upgrade

“Inside or out, I would love to understand hard data structure and algorithm problems on either [arrays, graphs, or DP]. Leave lots of hints at intervals until I get it. After ample time, provide a brute-force or optimized solution and analyze time and space complexity. Include a few problems on a similar level but increase that difficulty step-wise.”

5. Mastering DevOps and Cloud

“Teach me fundamental learner-related knowledge of DevOps such as CI/CD, containerization, and infrastructure as code. Then walk me stepwise through deploying a scalable application using Docker or Kubernetes on cloud platforms like AWS/GCP. Include hands-on exercises, a stepwise procedure to guide me through deployment, and best practices to manage cloud-based applications securely and efficiently.”

I hope you liked the prompts. Keep experimenting with different prompts to understand the real power of AI tools. Happy learning.

The post 5 powerful ChatGPT prompts to upgrade your software skills appeared first on SkilloTour.

Prerequisites

• Python Programming basics
• Linux commands basics
• Oracle cloud free tier account or any cloud platform account with free trial(GCP, AWS etc).

Overview

1. Introduction
2. Install required dependencies on the VM
3. Create a Flask API
4. Test the API (Output)

1. Introduction

API stands for Application Programming Interface. APIs are the means to connect between various apps or programs. For example, we can connect an e-commerce app like Amazon with a payment app like Google Pay or Phonepe to make payments for purchasing items. Here Amazon and Payment apps communicate using APIs. APIs can be multiple types including REST APIs, GraphQL APIs etc. To simplify the process, let’s create a simple REST API in Python.

REST APIs are accessible through HTTP. Using REST APIs, we can perform CRUD operations by calling a website URL. When we call the URL, the particular software performs backend processes like fetching data from the database, performing calculations and returning data in the form of JSON.

JSON format is the common language used by APIs for faster communication. For example, two applications communicate through API calls using JSON language. You can refer here for more details.

2. Install the required dependencies on the VM

If you have a cloud account, go to your cloud platform and start a Virtual Machine(VM). If you don’t have an account, you can get an Oracle Cloud account from here and start a VM for free. After starting the instance(VM), you can connect to the instance using the ssh command below:

ssh -i your-private-key-path user@your-ip

In the above command, replace your-private-key-path with the path where you stored the private key, the user generally would be Ubuntu in the case of Oracle and your-ip is the public IP with which you connect to the VM.

After connecting to the VM, update the package lists with the below command:

sudo apt update && sudo apt upgrade -y

Install flask using pip as below:

pip3 install flask

We are done with installing dependencies in our VM. Let’s create our API.

3. Create a Flask API

Create a new directory for our flask API and name it flask-api:

mkdir flask-api

Switch to our new directory:

cd flask-api

Create a Python file named app.py and write the below code in it using nano or vi editor:

from flask import Flask, jsonify

app = Flask(__name__)

@app.route('/message')
def home():
    return jsonify({"message": "Hello, You created an API!"})

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=5000)

In the above code, port=5000 indicates that the Flask app is running at your-ip:5000. The line host=’0.0.0.0′ makes the API accessible from any IP apart from localhost. @app.route(‘/message’) routes our app to be called at your-ip:5000/message.

4. Test the API(Output)

Run the below command to start the Flask web server:

python3 app.py

You can see the output in the terminal as shown below:

Note: You see a warning because Flask’s web server is for development purposes only as it lacks security and scalability. We should use a production-ready WSGI server like Gunicorn to run the API in a production environment.

To test the output, open your local web browser and visit your-ip:5000/message. For example, if your VM’s public IP is 144.24.142.183, you can visit http://144.24.142.183:5000/message to see the output. Sample output is shown below:

Congratulations on creating your own API and successfully hosting it in the cloud for free. Once you practise developing APIs, You can create complex APIs based on authentication, e-commerce etc.

The post How to create an API and deploy it on the Cloud for free appeared first on SkilloTour.

Code in CSS

Below is the code for the cool bouncing ball animation using CSS.

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>Bouncing Ball Animation</title>
  <style>
    body {
      display: flex;
      justify-content: center;
      align-items: center;
      min-height: 100vh;
      margin: 0;
      background: linear-gradient(45deg, #ffe3ce, #fad0c4);
      overflow: hidden;
      font-family: Arial, sans-serif;
    }
    .ball {
      width: 50px;
      height: 50px;
      background: #e93a92;
      border-radius: 50%;
      position: relative;
      animation: bounce 2s infinite ease-in-out;
    }
    @keyframes bounce {
      0%, 100% {
        transform: translateY(0);
      }
      50% {
        transform: translateY(-200px);
      }
    }
  </style>
</head>
<body>
  <div class="ball"></div>
</body>
</html>

Output:

Explanation

HTML

• The div element with the class ball represents the bouncing ball.

CSS

• @keyframes bounce defines the animation that makes the ball move up and down.
• The animation property applies the bounce effect with a 2-second duration and infinite repetitions.
• linear-gradient is used to add an attractive background.

How to Use

1. Copy the code into a .html file.
2. Open the file in a browser to see the animation in action.
3. Customize the animation timing, size, or colors as you like.

You can learn more about CSS here.

You can also read 5 important Digital Tools for every competitive exam aspirant.

The post Bouncing Ball Animation in CSS appeared first on SkilloTour.