Foundational Python for Data Science

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The most important property of a program is whether it accomplishes the intention of its user.

C.A.R. Hoare

In This Chapter

• Sorting lists

• Reading and writing files

• datetime objects

• Regular expressions

This chapter covers some Python Standard Library components that are powerful tools for both data science and general Python use. It starts with various ways to sort data and then moves to reading and writing files using context managers. Next, this chapter looks at representing time with datetime objects. Finally, this chapter covers searching text using the powerful regular expression library. It is important to have at least a high-level understanding of these topics as they are all highly leveraged in production programming. ...