The correct answer is: C. Prophet
Prophet is a forecasting tool built on top of the Facebook Prophet library. It is a popular choice for time series forecasting because it is easy to use, flexible, and accurate. Prophet can be used to forecast a wide variety of time series data, including sales, website traffic, and financial data.
Pandas is a Python library that is commonly used for data analysis and manipulation. It is a powerful and versatile library that can be used to work with a wide variety of data types. However, Pandas is not specifically designed for time series forecasting.
Numpy is a Python library that is commonly used for scientific computing and numerical analysis. It is a fast and efficient library that can be used to perform a wide variety of mathematical operations. However, Numpy is not specifically designed for time series forecasting.
statsmodels is a Python library that is commonly used for statistical modeling and analysis. It is a powerful and versatile library that can be used to perform a wide variety of statistical tasks. However, statsmodels is not specifically designed for time series forecasting.
In conclusion, Prophet is the best choice for time series forecasting in Python because it is easy to use, flexible, and accurate.