Скачать или смотреть Python Test Cases Explained | Unit Testing, Pytest & Real-Time Scenarios

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Learn how to write Python test cases using unittest and pytest frameworks. This tutorial covers real-time test case implementation, best practices, and integration with AWS ETL projects.
📌 Projects Covered:

AWS ETL Data Pipeline Project: Build an end-to-end ETL pipeline with data extraction from S3, transformation using AWS Glue, and loading to Redshift. (Python, AWS Glue, S3, Redshift, Lambda, CloudFormation)
AWS ETL APIs Integration Project: Develop APIs to trigger ETL workflows, manage data flows, and ensure seamless integration using API Gateway. (Python, AWS Lambda, API Gateway, S3, DynamoDB)
AWS ORM-Based ETL Project: Leverage ORM tools to handle database operations in ETL processes, ensuring data integrity and efficient transactions. (Python, SQLAlchemy, AWS RDS, Lambda, S3)
AWS Full-Stack React.js Integration Project: Create a full-stack web application with a React.js frontend and AWS backend services for seamless data management. (React.js, AWS Lambda, API Gateway, S3, RDS)

Python Test Cases, Python Unit Testing, Pytest Framework, Python Testing Best Practices, Python Unittest, Automated Testing in Python, AWS Lambda Testing, Python AWS ETL Testing, Python API Testing, AWS API Gateway Testing, AWS ORM Testing, Python React Testing, Python AWS Glue Testing, Python Data Engineering Testing

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