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API development
An API, is a set of protocols, routines, and tools used for building software applications. APIs allow different software components to interact and communicate with each other, enabling developers to build complex systems from smaller, modular components.
API development involves designing and implementing APIs that provide a set of operations or functionalities to other software applications. This may involve defining the API specification, selecting the appropriate API architecture, and implementing the API using a programming language such as Java, Python, or Ruby.
API development also involves managing the lifecycle of APIs, including versioning, testing, and deployment. This may involve using tools such as Swagger or OpenAPI to define the API specification, using testing tools such as Postman to validate the API functionality, and deploying the API to a production environment using tools such as Docker or Kubernetes.
In addition to technical skills, API development also requires a deep understanding of user needs, business requirements, and security considerations. This may involve working closely with stakeholders to ensure that the API meets their needs, and implementing security measures such as authentication and authorization to protect against unauthorized access to sensitive data.
- Introduction
- Variables
- Data Types
- Numbers
- Casting
- Strings
- Booleans
- Operators
- Lists
- Tuple
- Sets
- Dictionaries
- Conditionals
- Loops
- Functions
- Lambda
- Classes
- Inheritance
- Iterators
- Multi‐Processing
- Multi‐Threading
- I/O Operations
- How can I check all the installed Python versions on Windows?
- Hello, world!
- Python literals
- Arithmetic operators and the hierarchy of priorities
- Variables
- Comments
- The input() function and string operators
Boolean values, conditional execution, loops, lists and list processing, logical and bitwise operations
- Comparison operators and conditional execution
- Loops
- [Logic and bit operations in Python]
- [Lists]
- [Sorting simple lists]
- [List processing]
- [Multidimensional arrays]
- Introduction
- Sorting Algorithms
- Search Algorithms
- Pattern-matching Algorithm
- Graph Algorithms
- Machine Learning Algorithms
- Encryption Algorithms
- Compression Algorithms
- Start a New Django Project
- Migration
- Start Server
- Requirements
- Other Commands
- Project Config
- Create Data Model
- Admin Panel
- Routing
- Views (Function Based)
- Views (Class Based)
- Django Template
- Model Managers and Querysets
- Form
- User model
- Authentification
- Send Email
- Flash messages
- Seed
- Organize Logic
- Django's Business Logic Services and Managers
- TestCase
- ASGI and WSGI
- Celery Framework
- Redis and Django
- Django Local Network Access
- Introduction
- API development
- API architecture
- lifecycle of APIs
- API Designing
- Implementing APIs
- Defining the API specification
- API Testing Tools
- API documentation
- API version
- REST APIs
- REST API URI naming rules
- Automated vs. Manual Testing
- Unit Tests vs. Integration Tests
- Choosing a Test Runner
- Writing Your First Test
- Executing Your First Test
- Testing for Django
- More Advanced Testing Scenarios
- Automating the Execution of Your Tests
- End-to-end
- Scenario
- Python Syntax
- Python OOP
- Python Developer position
- Python backend developer
- Clean Code
- Data Structures
- Algorithms
- Database
- PostgreSQL
- Redis
- Celery
- RabbitMQ
- Unit testing
- Web API
- REST API
- API documentation
- Django
- Django Advance
- Django ORM
- Django Models
- Django Views
- Django Rest Framework
- Django Rest Framework serializers
- Django Rest Framework views
- Django Rest Framework viewsets