Скачать или смотреть Using Python Libraries for Data Cleaning

Python offers a robust ecosystem of libraries that simplify data cleaning tasks. Pandas is a powerful library for data manipulation, offering data structures like DataFrames that make handling data intuitive and efficient. NumPy provides support for large, multi-dimensional arrays and matrices, along with an extensive collection of mathematical functions. SciPy builds on NumPy and is ideal for scientific and technical computing. Together, these libraries allow for the automation of many data cleaning tasks, saving time and reducing errors. In this segment, we'll look at practical coding examples demonstrating how these libraries can be used to streamline your data cleaning processes.