Writing Tests for SimEng Python Code conversion concepts 101

🎓 Course Title: Writing Tests for SimEng - Code conversion concepts 101 easier, more reliable, and more maintainable. Dive into the world of Python Pyspark SQL with this comprehensive online course designed to equip you with the skills to master unit testing in a Pycharm environment. Whether you're a seasoned developer or just starting out, Write Unit Tests for Prevailing Code in Python Pyspark SQL and Configure Tests in Pycharm will guide you through the essentials of writing robust tests, setting up your development environment, and understanding code release processes. 🌍

Course Description:

Kickstart Your Journey into Testing Excellence:

• Comprehensive Unit Testing for Python Pyspark SQL: Learn the ins and outs of writing effective unit tests for your Python Pyspark SQL code, ensuring that each segment of your application functions as intended.

• Efficient Test Configuration in Pycharm: Get hands-on experience with configuring Pycharm, virtual environments (venv), and unit testing tools like unittest, pytest, and coverage libraries to monitor code quality.

Course Outline:

What You Will Learn:

• 📚 Unit Testing Fundamentals: Master the art of writing unit tests for complex Python Pyspark SQL applications.
• Excel Power Query Skills: Harness the power of Excel's Power Query to manipulate and analyze data, gaining insights that can inform your testing strategies.
• Environmental Setup: Learn how to correctly set up a local environment with venv to support your testing activities without conflicts or issues.
• Code Writing for Larger Tasks: Understand how to approach writing code for both smaller tasks and more significant class workflows, ensuring modularity and maintainability.
• Release Process Introduction: Get an overview of the code release process, understanding the steps from development to deployment.
• Environment Variable Setup: Learn how to properly set up local environment variables, which are crucial for configuring your testing environment.

Topics Covered:

• 📊 Data Manipulation with Excel Power Query: Discover how to leverage Power Query in Excel to perform data transformations and join operations, validating and sharing results with colleagues.
• Creating a Notebook Equivalent: Simplify the logic of your code into a Jupyter notebook for easier understanding and troubleshooting.
• Local Spark Sessions: Navigate the complexities of creating local Spark sessions for various use cases, particularly when working with Hive views that require Hadoop and Spark installations.
• Debugging Techniques: Master debugging in Pycharm, using breakpoints effectively, and learning to step into or over code segments to generate and compare outputs with Excel results.
• Mimicking Spark in Tests: Ensure your tests accurately reflect the behavior of Spark by understanding how to mimic older Spark versions, thus avoiding conflicts or errors during Jenkins builds.

Why Enroll?

This course is designed for:

• Developers looking to ensure their Python Pyspark SQL codebase is reliable and easy to maintain.
• Testers aiming to enhance their skills in writing unit tests that are both comprehensive and efficient.
• Anyone interested in learning how to configure a Pycharm development environment for optimized testing workflows.

By the end of this course, you'll be well-versed in testing Python Pyspark SQL code, capable of configuring your Pycharm environment, and ready to apply best practices in writing tests that both validate your code and improve your overall development process. 🚀

Don't let buggy code slow you down. Join this course today and elevate your testing capabilities to the next level!