Summary
In this chapter, we covered many Python programming fundamentals you would need for your technical interview. First, we covered Python variable data types and string operations, including string indexing. Afterward, we reviewed Python list comprehensions and control statements, including loops. Then we focused on some aspects of Python classes, indexing, merging, sorting, data aggregation, and handling missing data.
It is incredibly important to be proficient in the area of data wrangling and manipulation, which comprises a large part of data science interviews and assessments. Although it comprises a large part, data wrangling is tested proportional to its presence in data science jobs.
In the next chapter, we will move our focus from Python fundamentals to data visualization and storytelling.
