Which Python library is commonly used to analyze and visualize user behavior for detecting anomalies in security operations?
pandas
requests
seaborn
matplotlib
The 'pandas' library is widely used in Python for data manipulation and analysis, which allows cybersecurity professionals to handle large datasets efficiently. By using pandas, one can analyze logs, user activities, and patterns to identify anomalies indicative of potential security threats. In contrast, other libraries such as 'matplotlib' and 'seaborn' are primarily used for data visualization but do not offer the same level of data manipulation capabilities as pandas.
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