Summary

We covered a lot of the Python knowledge required for aspiring data engineers in this chapter. We started by building a solid foundation with fundamental Python knowledge by going over syntax, data structures, and control flow components such as conditional statements, loops, and functions. We also gave you a brief introduction to Python’s standard built-in modules and functions, which are useful for a variety of data engineering tasks. We also looked at the idea of functional programming in Python, emphasizing its advantages for producing effective, orderly, and maintainable code.

We talked about OOP principles and how they can be used in Python to create modular and reusable code as we progressed into advanced Python skills. In order to effectively handle complex data, advanced data structures such as dictionaries and sets were also covered. Given their widespread usage in data engineering tasks, familiarity with Python’s built-in data manipulation and analysis...