What are some popular Python libraries for finance?
Some popular Python libraries for finance include Pandas, NumPy, Matplotlib, and QuantLib. Would you like to know more about any specific library?
Can you explain what Pandas is used for?
Pandas is a powerful data manipulation and analysis library that provides data structures like DataFrames, which are great for handling financial data.
What about NumPy?
NumPy is essential for numerical computing in Python. It provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.
Are there libraries for algorithmic trading?
Yes, libraries like Zipline and Backtrader are specifically designed for backtesting trading strategies and algorithmic trading.
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