Abstract
The global economy is no stranger to recessions, which can have severe impacts on businesses, individuals, and entire nations. As a result, it is essential to analyze economic data to identify and understand recession patterns, allowing for effective policy-making and planning. In this paper, we explore the use of Python as a tool for recession analysis. We discuss various techniques for data collection, processing, and analysis using popular Python libraries such as Pandas, NumPy, and Matplotlib
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