How Python is used in data science
Data science with Python refers to the application of Python programming language in the field of data science. Data science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract insights and knowledge from structured and unstructured data. Python has become one of the most popular programming languages in the data science community due to its simplicity, versatility, and the availability of a rich ecosystem of libraries and tools tailored for data-related tasks. Python is extensively used in data science for its versatility, readability, and a rich ecosystem of libraries and tools that cater to various aspects of the data science workflow. Here's a breakdown of how Python is employed in different stages of data science: 1. Data Acquisition: - Python is used to fetch and import data from various sources, including databases, APIs, and web scraping. - Libraries like pandas, numpy, and requests are commonly used for data retrieval an...