اپلیکیشن اندرویدی فلش‌کارت آموزشی FastAPI و ساخت APIهای Robotic Process Automation (RPA)

🎓 دوره آموزشی جامع

📚 اطلاعات دوره

عنوان دوره: دوره FastAPI و ساخت APIهای Robotic Process Automation (RPA)

موضوع کلی: برنامه نویسی

موضوع میانی: فست ای‌پی‌آی (FastAPI)

📋 سرفصل‌های دوره

• 1. مقدمه‌ای بر اتوماسیون فرآیندهای رباتیک (RPA)
• 2. مقدمه‌ای بر برنامه‌نویسی
• 3. مبانی پایتون برای RPA
• 4. انواع ابزارهای RPA
• 5. مزایای RPA
• 6. چالش‌های RPA
• 7. معماری سیستم‌های RPA
• 8. مقدمه‌ای بر FastAPI
• 9. چرا FastAPI؟
• 10. نصب FastAPI
• 11. ساخت اولین API با FastAPI
• 12. مفهوم Route در FastAPI
• 13. HTTP Methods (GET, POST, PUT, DELETE)
• 14. Path Parameters
• 15. Query Parameters
• 16. Request Body
• 17. Pydantic Models for Data Validation
• 18. Serialization and Deserialization
• 19. Response Models
• 20. Error Handling in FastAPI
• 21. Status Codes
• 22. Exception Handling
• 23. Dependency Injection in FastAPI
• 24. Async and Await in Python
• 25. Asynchronous Routes in FastAPI
• 26. Background Tasks
• 27. WebSockets in FastAPI
• 28. Testing FastAPI Applications
• 29. Unit Testing
• 30. Integration Testing
• 31. Mocking and Patching
• 32. Deployment of FastAPI Applications
• 33. Docker for FastAPI
• 34. Containerization
• 35. CI/CD Pipelines for FastAPI
• 36. Advanced FastAPI Concepts
• 37. Middleware
• 38. Security in FastAPI
• 39. Authentication and Authorization
• 40. OAuth2
• 41. JWT Tokens
• 42. CORS (Cross-Origin Resource Sharing)
• 43. Rate Limiting
• 44. Documentation Generation (Swagger UI, ReDoc)
• 45. Database Integration with FastAPI
• 46. SQL Databases
• 47. SQLAlchemy ORM
• 48. Async Database Drivers
• 49. NoSQL Databases
• 50. MongoDB with FastAPI
• 51. Data Visualization for RPA Metrics
• 52. Integrating RPA with FastAPI
• 53. Triggering RPA Bots via API
• 54. Receiving RPA Status Updates via API
• 55. Building an RPA Orchestration Layer
• 56. Workflow Management with FastAPI
• 57. Handling Large Data in APIs
• 58. File Uploads and Downloads
• 59. Streaming Responses
• 60. Background Jobs and Task Queues (Celery)
• 61. Message Queues (RabbitMQ, Kafka)
• 62. Monitoring and Logging RPA APIs
• 63. Logging Strategies
• 64. Performance Optimization of FastAPI APIs
• 65. Caching Strategies
• 66. Load Balancing
• 67. API Gateway Patterns
• 68. Microservices Architecture with FastAPI
• 69. Designing Microservices for RPA
• 70. Communication between Microservices
• 71. Event-Driven Architectures
• 72. Serverless Functions with FastAPI
• 73. AWS Lambda, Azure Functions
• 74. Deploying FastAPI on Serverless Platforms
• 75. Security Best Practices for RPA APIs
• 76. Input Validation and Sanitization
• 77. Output Encoding
• 78. Data Encryption
• 79. Securing API Keys
• 80. Rate Limiting and Throttling
• 81. Vulnerability Assessment of APIs
• 82. Penetration Testing Basics
• 83. Automated Security Scans
• 84. Code Quality and Linting
• 85. Type Hinting in Python
• 86. Static Analysis Tools
• 87. Code Review Process
• 88. Best Practices for API Design
• 89. RESTful API Design Principles
• 90. API Versioning
• 91. Documentation Standards
• 92. Error Handling Strategies
• 93. Idempotency in API Design
• 94. Choosing the Right Database for RPA Data
• 95. Data Modeling for RPA
• 96. Schema Design
• 97. Data Integrity and Consistency
• 98. Data Archiving and Purging
• 99. Scalability Considerations for RPA Platforms
• 100. Horizontal vs. Vertical Scaling