Summary

In this chapter, we reviewed the Python basics, including variables, data structures, condition and loop clauses, and various Python data libraries. It is essential to understand the Python code snippets in this chapter and go through the examples in Appendix 2, Practicing with Python Data Libraries, where we have provided examples to help you practice using Python data libraries, step by step. By doing so, you can develop Python code with Google Colab.

Now we have built up the foundation of GCP and Python, it is time to conclude Part 1 of this book. In Part 2, we will explore the ML process, including problem framing, data preparation and feature engineering, ML model development, neural networks, and deep learning. In this next chapter, we will look at ML problem framing.