Which programming language is widely used for data analysis?

Python is widely used for data analysis due to its simplicity and the versatility of its libraries specifically designed for data manipulation, statistical analysis, and data visualization. Libraries like Pandas, NumPy, and Matplotlib provide robust tools that allow data analysts to efficiently process large datasets and perform complex calculations with minimal code.

Additionally, Python's readability and ease of learning make it a favored choice among professionals in data science and analytics, enabling faster prototyping and a more intuitive data discovery process. The integration of Python with various data platforms and its supportive community further enhances its attractiveness as a go-to language for data analysis compared to other languages that may not have as rich a set of tools or as user-friendly syntax.