Enroll Course: https://www.udemy.com/course/writing-tests-for-simeng-python-code-conversion-concepts-101/
The Udemy course ‘Writing Tests for SimEng Python Code Conversion Concepts 101’ is a thorough and practical guide designed for developers working with Python, PySpark SQL, and data workflows. This course excels in teaching how to write effective unit tests for existing codebases, a crucial aspect for maintaining robust and error-free applications. One of the standout features is its focus on configuring testing environments in PyCharm, including setting up virtual environments (venv), code coverage, and test execution. The course also covers essential topics like handling local Spark sessions, creating Spark SQL views with Hive, and debugging techniques such as breakpoints and step execution to troubleshoot issues efficiently.
Additionally, the course introduces useful tools like Excel Power Queries for data verification and sharing results with stakeholders. It emphasizes creating smaller, manageable functions and workflows, which is vital for scalable and maintainable code. The segment on setting up local environment variables and understanding the code release process provides learners with a comprehensive view of the development lifecycle.
Whether you’re a data engineer, a Python developer, or someone looking to improve your testing skills in Spark-based environments, this course offers valuable insights and hands-on exercises to enhance your practical knowledge. I highly recommend this course for its clarity, practical approach, and coverage of both testing and environment setup essentials.
Enroll Course: https://www.udemy.com/course/writing-tests-for-simeng-python-code-conversion-concepts-101/