Detailed Instructions on Using Django and Kivy to Develop Mobile Apps
Development of Real Estate Apps
Using Django for Backend Development
The first step in Setting Up Django is to install Django and start a new project.
- Within the project, develop a new application for managing real estate listings.
Models and Database Design
Use Django models to define the database structure.
- Add fields to record information about the property, such as the price, address, agent details, title, description, and listing date.
- Create connections between agents and properties.
Views and URLs
Create views to manage user interactions, property details display, and listing properties.
Map these views to the relevant URLs so that you can access them online.
Templates
Create a user-friendly interface by designing HTML templates with Django's templating language.
Develop templates for showcasing specific property details and listing properties.
Django REST Framework
Create APIs using the Django REST framework so that the Django backend and the Kivy frontend may communicate with one another.
- Create serializers to translate Django models into JSON.
- Make viewsets to manage the property CRUD processes (Create, Read, Update, Delete).
Kivy for Frontend Development
Setting Up Kivy
Install the real estate app and start a new project in Kivy.
UI Design
Create a user-friendly interface by utilizing Kivy's widget library.
Design a layout with links to access property listings and a welcome screen.
Integration with Django
To retrieve data from the Django APIs, utilize Kivy's `requests` module.
Pull data from the backend and render it in the frontend to display property listings in the Kivy app.
Managing Navigation
Include the ability to navigate between the Kivy app's various displays, including the welcome page, property listings, and property information.
Development of Fitness Apps
Using Django for Backend Development
Setting Up Django
Create a new project for the fitness app after installing Django.
- Within the project, develop a new app to track user progress and manage workouts.
Models and Database Design
Incorporate fields for name, description, duration, and calories burned into models for exercises.
Develop a model with fields for the user, workout, date, and progress information in order to track the progress of users.
Views and URLs
Create views for tracking progress, logging workouts, and managing user registration.
To provide web accessibility, map these views to URLs.
Templates
Make HTML templates for tracking progress, logging workouts, and user registration.
Create aesthetically pleasing and user-friendly templates.
Django REST Framework
Build APIs to communicate with the Kivy frontend using the Django REST framework.
- Create serializers to translate Django models into JSON.
- Develop viewsets to manage the user progress and exercise CRUD procedures.
Kivy for Frontend Development
Setting Up Kivy
Launch the fitness app by installing Kivy and starting a new project.
UI Design
Create an interface for tracking exercise and seeing progress using Kivy.
Design a layout with buttons to access the app's many sections and a welcome screen.
Django Integration
Use Kivy's `requests` module to retrieve data from Django APIs and present it within the application.
Create functionality that allows you
to interact with the backend to view user progress and log workouts.
Managing User Authentication
To guarantee safe access to user-specific data, implement user authentication in Django and integrate it with Kivy.
In the Kivy app, create a login screen and use the Django backend to manage authentication.
Benefits of Django with Kivy for Developing Mobile Applications
The benefits of Django
- Scalability: The architecture of Django is made to facilitate the rapid development of scalable applications by developers. Because of its ORM (Object Relational Mapper), developers can handle massive amounts of data effectively, which is essential for applications that plan to grow with their user base.
- Security: Django includes several built-in security mechanisms that guard against typical security risks like as cross-site request forgery (CSRF), SQL injection, and cross-site scripting (XSS). This makes it a great option for apps like fitness and real estate that handle sensitive user data.
- Rapid Development: Django has numerous functionalities right out of the box because of its "batteries-included" attitude. This contains an authenticating system, an admin panel, and a strong ORM that greatly expedites the development process.
- Adaptable and Sturdy: Django is capable of managing a broad variety of online applications, ranging from blogs and content management systems to extremely dynamic and interactive websites. Due to its adaptability, it may be used with a variety of smartphone applications, such as fitness and real estate apps.
- Sizeable Ecosystem and Community: Django boasts a sizable and vibrant community that offers third-party packages, support, and copious amounts of documentation. This facilitates the process of solving typical issues and adding new features to your application.
Benefits of Using Kivy
- Cross-Platform Compatibility: Kivy enables developers to create code only once and have it run on a variety of operating systems, such as Windows, Linux, iOS, Android, and iOS. Compared to creating individual apps for each platform, this saves a significant amount of time and work.
- tense UI/UX Design: Kivy offers an extensive collection of tools and widgets to create intricate user interfaces. Multi-touch, gestures, and other cutting-edge input techniques are supported, which is necessary for developing cutting-edge, interactive mobile applications.
- Performance: Kivy's quick and effective design makes it a good fit for mobile apps that need to handle data in real time and have fluid animations. The code is composed in Python and utilizes Cython to optimize efficiency in certain areas.
- Adaptable and Customizable: Kivy's great degree of adaptability enables developers to craft distinctive and captivating user interfaces. Because it allows for the usage of custom layouts and widgets, you can create UI elements that are tailored to the particular requirements of your application.
- Open Source: Kivy is based on a community-driven development paradigm and is free to use. This makes it simpler to get started and seek assistance when needed by giving you access to a multitude of resources, tutorials, and community support.
Combining Kivy and Django to Develop Mobile Apps
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)
Making sure that the frontend and backend components communicate flawlessly is a crucial part of integrating Django with Kivy. The following are the procedures and ideal methods to accomplish this integration:
1. Django API Development
- Create RESTful APIs: To expose your backend features to the Kivy frontend, create RESTful APIs using the Django REST Framework (DRF). This covers APIs for data submission, data retrieval, and user authentication.
- Define Serializers: To make it simple for the Kivy frontend to ingest the data, use DRF serializers to translate complicated Django models into JSON format.
- Authentication and Authorization: Use DRF's token authentication or OAuth along with Django's integrated authentication system to create strong authentication and authorization procedures.
2. Kivy for Frontend Development
- Design User Interfaces: Create responsive and user-friendly user interfaces with Kivy's extensive collection of widgets. Make sure the app's design aligns with its branding and user experience objectives.
- Handle API Requests: To make API calls to the Django backend, use Kivy's `requests` module. To carry out CRUD tasks, handle various HTTP methods (GET, POST, PUT, DELETE).
- Implement Navigation: To manage screen navigation within the application, use Kivy's ScreenManager. Make sure that every screen remains in the required state and that transitions are seamless.
3. Real-time updates and synchronization
- WebSockets for Real-Time Communication: Create a persistent connection between the Django backend and Kivy frontend using WebSockets for apps that need real-time updates (like live property listings in a real estate app or live progress tracking in a fitness app).
- Periodic Syncing: To guarantee data consistency between the frontend and backend, implement periodic syncing techniques. Kivy's background tasks can be used to periodically retrieve and update data from the backend in order to accomplish this.
Features Exclusive to Real Estate Apps
Real Estate Administration
- Property Listings: Give a thorough description of all the properties that are offered, together with information on their size, price, location, and pictures.
- Search and Filter: Provide consumers with the ability to identify properties that match their exact criteria by implementing advanced search and filter features.
- Map Integration: Connect to mapping services (like Google Maps) to show properties on a map and enable location-based search.
Management of Agents
- Agent Profiles: Make thorough profiles with contact details, evaluations, and ratings for real estate agents.
- Agent Assignment: Permit users to view and get in touch with agents connected to particular properties.
- Agent Dashboard: Give agents access to a dashboard where they may keep track of queries, handle property listings, and interact with possible purchasers.
Interaction with Users
- Favorites and Notifications: Give users the option to bookmark their preferred properties and get alerts when there are updates or adjustments to the pricing.
- Virtual Tours: Provide 360-degree photos or videos as virtual tours of properties.
- Appointment Scheduling: Provide customers with the ability to arrange meetings and property tours with agents straight from the app.
Features Exclusive to Fitness Apps
Exercise Administration
- Workout Plans: Offer consumers individualized training schedules according to their tastes and fitness objectives.
- Exercise Library: Provide an extensive collection of exercises accompanied by thorough explanations, instructional videos, and descriptions.
- Progress Tracking: Provide customers with the ability to monitor performance over time, length, and calories burnt during their workouts.
Interaction with Users
- Challenges and Competitions: To inspire users and promote a feeling of community, set up fitness competitions and challenges.
- Diet and Nutrition Plans: Provide consumers with individualized diet and nutrition plans to go along with their exercise regimens.
- Social Features: To promote communication and cooperation among users, incorporate social features like buddy lists, activity feeds, and messaging.
Best Practices for Kivy with Django Development
1. Architecture in Modules
- Separation of Concerns: Make sure that the frontend (Kivy) and backend (Django) components are clearly separated. It is simpler to maintain and upgrade each component of the application individually thanks to its modular design.
- Reusable Components: To simplify development and cut down on code duplication, create reusable modules and components in both Django and Kivy.
2. Enhancement of Performance
- Effective Database Queries: When working with big datasets, it's important to optimize database queries in Django to guarantee quick response times.
- Caching: Use caching techniques to lessen backend load and enhance the functionality of the application. Consider client-side caching in Kivy and make use of Django's caching framework.
- Async Tasks: To avoid blocking the main thread during lengthy activities, use asynchronous tasks. Use threading or asynchronous programming approaches in Kivy, and Celery in Django for background work.
3. Troubleshooting and Testing
- Unit Testing: To guarantee code quality and identify errors early, write unit tests for both the Django and Kivy components.
- Integration Testing: To ensure that the frontend and backend communicate seamlessly, conduct integration testing.
- Debugging Tools: To solve problems, apply debugging tools and methods. Use the built-in logging and debug mode in Django. Make use of Kivy's integrated debugging and logging tools.
4. The User Experience
- Responsive Design: Make sure the application's layout adjusts to various screen dimensions and orientations.
- Intuitive Navigation: Create user-friendly navigation flows that make it simple for users to reach the many features and areas of the application.
- Feedback Methods: To enhance the user experience, include feedback methods like loading indications and error warnings.
Final Thoughts
Using Django and Kivy to develop mobile applications offers a stable and adaptable method for producing feature-rich, cross-platform apps. This combination gives Indian real estate and fitness app development company the performance, security, and scalability they need to create profitable apps. Developers can construct smooth and captivating user experiences that satisfy the needs of contemporary users by adhering to best practices and utilizing the advantages of both frameworks.
In order to ensure a seamless and effective development process, this comprehensive tutorial explains the necessary processes and factors to take into account when integrating Django and Kivy to create real estate and fitness apps. You can create a fitness tracking software or a property management system with Django and Kivy; they provide the means to make your ideas a reality.