Loops
In data science, loops refer to a programming construct that allows for the repetition of a set of instructions until a specific condition is met. Loops are used to automate repetitive tasks and to iterate over data structures such as lists, arrays, and data frames. There are two main types of loops: for loops and while loops. For loops are used when the number of iterations is known in advance, while while loops are used when the number of iterations is not known in advance and depends on a specific condition. Loops are an essential tool in data science and are used in a wide range of applications, including data cleaning, data preprocessing, and machine learning.
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