Pandas is a Python library used for data analysis and manipulation on labeled datasets. The core mission of the Pandas development team is to be the fundamental high-level building block for practical, real-world data analysis in Python. It provides tools and methods for aligning, merging, transforming, and managing data from various persistent stores, positioning itself as the definitive tool for data analysis in Python.
Argentina's case illustrates the severe repercussions of manipulating inflation data. Systematically understating figures led to a loss of faith from the international community, resulting in skyrocketing borrowing costs and a worsening debt crisis.