Cloud Deployment for Python Backend Code -- 2

₹600-1500 INR

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yaklaşık 2 ay önce

₹600-1500 INR

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I Have a python backend code which i work in the local system i need to deploy this into cloud server , and i have mention all the key note which i need to be done 1. Develop a Web Application: • Use a web framework like Flask or Django to create a web application. • Your web app will run on a server and communicate with your Python scripts to update Excel sheets and deliver the necessary updates to the end users. 2. Architecture Overview: • Backend: Your Python scripts that handle data processing, updating Excel sheets, and managing logic. • Frontend: A simple web interface (HTML/CSS/JavaScript) that interacts with the backend to display live updates. • Database: Optionally, you can use a database to store the state or results instead of directly writing to Excel sheets. 3. Implementation Steps: Step 1: Build the Flask/Django Application • Install Flask or Django: Choose one of these frameworks and install it. pip install Flask # For Flask pip install Django # For Django • Set Up the Application Structure: For Flask, your structure might look like this: /my_flask_app/ ├── [login to view URL] ├── templates/ ├── static/ ├── scripts/ # Main application file # HTML templates # Static files (CSS, JS) # Your Python scripts ├── [login to view URL] # Dependencies └── data/ # Excel files Step 2: Create API Endpoints • In your [login to view URL], create endpoints to trigger your scripts and return the updated data: from flask import Flask, jsonify import pandas as pd import time from threading import Thread app = Flask(__name__) # Function to update Excel sheets def update_excel_sheets(): while True: # Code to update your Excel sheets goes here # For example: # df = pd.read_excel('data/[login to view URL]') # Perform updates # df.to_excel('data/[login to view URL]', index=False) [login to view URL](1) # Update every second @[login to view URL]('/start-updates', methods=['GET']) def start_updates(): # Start the Excel update in a separate thread thread = Thread(target=update_excel_sheets) [login to view URL]() return jsonify({'status': 'Updates started'}) @[login to view URL]('/get-updates', methods=['GET']) def get_updates(): # Logic to read and return updated data df = pd.read_excel('data/[login to view URL]') # Convert to JSON or any format to send to frontend data = df.to_dict(orient='records') return jsonify(data) if __name__ == '__main__': [login to view URL](debug=True) Step 3: Create Frontend • In the templates/ directory, create an HTML file that fetches data and displays it. <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Live Updates</title> <script> function fetchUpdates() { fetch('/get-updates') .then(response => [login to view URL]()) .then(data => { // Update the DOM with the received data [login to view URL](data); // Display the updates in your desired format }); } setInterval(fetchUpdates, 1000); // Fetch updates every second </script> </head> <body> <h1>Live Excel Updates</h1> <div id="updates"></div> </body> </html> Step 4: Deployment • Choose a hosting service that supports Python applications, such as: o Heroku: Free tier available, easy to set up. o DigitalOcean: More control over the server environment. o PythonAnywhere: Designed specifically for Python applications. • Deploy Your Application: o Push your code to the selected hosting service. o Make sure to include your [login to view URL] file to install dependencies. 4. Hide Your Code: • By deploying your application on a server, users will interact with your application through a web interface without access to your source code. • Ensure that your sensitive scripts and data (Excel files) are not publicly accessible. Configure server permissions accordingly. 5. Security Measures: • Implement authentication if required to limit access to authorized users only. • Use HTTPS to encrypt data transmitted between the client and server. 6. Testing: • After deployment, test the application thoroughly to ensure everything is functioning correctly and updates are displayed as expected. Example Workflow: 1. The user accesses your web application via a browser. 2. They start the updates by clicking a button (triggering /start-updates). 3. Your server starts updating the Excel sheets every second in the background. 4. The frontend periodically fetches the latest updates from /get-updates and displays them.

Python

Machine Learning (ML)

App Developer

NumPy

Proje No: 38789276

Proje hakkında

9 teklif

Uzaktan proje

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9 freelancer bu proje için ortalama ₹1.496 INR teklif veriyor

@navinfeb15

Hello there, I specialize in deploying Python applications to cloud platforms and can help you deploy your local backend code into a cloud server efficiently. With expertise in Flask and Django, I can build a robust web application tailored to your needs. Here's how I plan to address your project requirements: 1. Web Application Development: I will utilize Flask or Django to develop a scalable web application. This will enable seamless communication between your Python scripts and a frontend interface, ensuring timely updates to Excel sheets. 2. Architecture Implementation: I'll design a clean architecture where the backend handles data processing, and a simple HTML/CSS/JavaScript frontend offers a userfriendly interface for live updates. To optimize performance, I can integrate a database for data storage, as an alternative to using Excel files directly. 3. Project Deployment: I'm experienced with cloud platforms like Heroku, DigitalOcean, and PythonAnywhere. I'll ensure smooth deployment by pushing your code, installing necessary dependencies, and configuring server environments for optimal security and performance. 4. Security and Testing: I will implement secure access and data encryption through HTTPS. Postdeployment, I'll conduct thorough testing to make sure updates are effectively processed and displayed, aligning with your example workflow. I'm eager to discuss any specifics and tailor the solution to perfectly match your expectations. Let’s get your application successfully running on the cloud! Looking forward to the opportunity to work with you!

₹610 INR 1 gün içinde

5,0

(13 değerlendirme)

3,8

@sarab01

Hello, I'm ayoub a professional data engineer with strong experience in developing backend using Django and Flask, HTML, and CSS. I also have hands-on experience with cloud platforms. Choose me if you wanna a solution that follows the best practices.

₹1.050 INR 5 gün içinde

5,0

(2 değerlendirme)

1,3

@Hassaan303

Get your project deployed within hours and I can deploy and further manage your application as well due to my vast experience in deploying applications including Django REST, pure python, ML AI solutions to cloud services like AWS, GCP, Cloud Functions, PythonAnywhere and CPanel. I will get this done in no time. Lets hear it from you.

₹1.500 INR 1 gün içinde

5,0

(3 değerlendirme)

1,0

@connectsurendram

I have seen your requirements carefully and I am confident that I can help you. Please come for a chat so that we will have a detailed discussion. I have more than 5 years of experience in python with cloud services EC2, Lambda, S3, RDS for deploying back end systems. Please initiate a chat so that we can have a detailed technical discussion. Thanks and Regards Surendra

₹2.000 INR 4 gün içinde

0,0

(0 değerlendirme)

0,0

@Srivardhannani

I have great idea on python and machine learning along with decent grip on cloud so that u can trust me I can handle this and get u a cloud deployed web.

₹600 INR 5 gün içinde

0,0

(0 değerlendirme)

0,0

@codingsparrow

Hhi I am experienced in this and I can start right now but i have few doubts and questions lets have a quick chat and get it started waiting for your replyyy ! r

₹1.050 INR 7 gün içinde

0,0

(0 değerlendirme)

0,0

@BinayakMahato123

As a cloud and DevOps engineer, I am well-equipped to help you deploy your Python-based web application from a local environment to a reliable cloud platform. My approach includes using Flask or Django to develop an efficient backend that can process and update Excel files, paired with a simple frontend to display real-time updates for users. I will create structured API endpoints to ensure smooth communication between the backend and frontend, allowing for seamless data updates. Additionally, I can incorporate a database if needed for better data management beyond direct Excel file handling. My deployment strategy includes selecting a suitable cloud service like Heroku or DigitalOcean, ensuring your application is optimized for performance, security, and scalability. Protecting your sensitive data is a priority, and I will configure server permissions, implement HTTPS for secure data transmission, and provide authentication if necessary to prevent unauthorized access. Following deployment, I will conduct thorough testing to confirm that all update functions and live data displays are working as intended in the cloud environment. With my expertise, I am confident in delivering a robust, user-friendly solution that meets your project goals within your budget and timeline. I look forward to collaborating with you on this project to ensure its success.

₹1.050 INR 2 gün içinde

0,0

(0 değerlendirme)

0,0

@taniamondal322

I am a backend developer skilled in Python and Django, with basic knowledge of frontend technologies. I specialize in building robust APIs, managing databases, and developing scalable server-side applications. My focus is on creating efficient backend systems while collaborating effectively with frontend teams to ensure seamless integration and functionality.

₹600 INR 7 gün içinde