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  creator: Dhiraj Patra Real-Time Payments (RTP) is a payment system that enables instant payment processing, 24/7/365. If uou want to develop a Real-Time Payments (RTP) system similar to The Clearing House's initiative. That's a complex project requiring significant expertise in payment systems, banking, and technology.  Here's a high-level overview of the components you'll need to develop: 1. Payment Processing Engine: * Handles real-time payment processing, including validation, routing, and settlement. * Supports various payment message types (e.g., credit, debit, invoice, remittance). * Integrates with existing banking systems and payment networks (e.g., ACH, Fedwire, SWIFT). 2. Connectivity Options: * APIs for mobile, tablet, and web applications. * File transfer protocols (SFTP, FTPS) for batch processing. * SWIFT messaging for international payments. * Online portals for user-friendly payment initiation. 3. Integration Layer: * Connects to various banking syste...

  Steps and code to set up Django Rest Framework (DRF) test cases with database mocking.  1. Set up Django and DRF Install Django and DRF: ```sh pip install django djangorestframework ``` Create a Django project and app: ```sh django-admin startproject projectname cd projectname python manage.py startapp appname ``` 2. Define Models, Serializers, and Views models.py (appname/models.py): ```python from django.db import models class Item(models.Model):     name = models.CharField(max_length=100)     description = models.TextField() ``` serializers.py (appname/serializers.py): ```python from rest_framework import serializers from .models import Item class ItemSerializer(serializers.ModelSerializer):     class Meta:         model = Item         fields = '__all__' ``` views.py (appname/views.py): ```python from rest_framework import viewsets from .models import Item from .serializers import ItemSerializer class I...

  Developing Microservices with Python, REST API, Nginx, and Kafka (End-to-End) Here's a step-by-step guide to developing microservices with the mentioned technologies: 1. Define Your Microservices: Break down Functionality: Identify distinct functionalities within your application that can be independent services. These services should have well-defined APIs for communication. Example: If you're building an e-commerce application, separate services could manage user accounts, products, orders, and payments. 2. Develop Python Microservices with RESTful APIs: Choose a Python framework: Popular options include Flask, FastAPI, and Django REST Framework. Develop each microservice as a separate Python application with clearly defined endpoints for API calls (GET, POST, PUT, DELETE). Use libraries like requests for making API calls between services if needed. Implement data persistence for each service using databases (e. g., PostgreSQL, MongoDB) or other ...