Python is popular in quantitative development because it has powerful research libraries such as NumPy, Pandas, and SciPy. It enables rapid development and can be easily integrated with code written in compiled languages.
Related Quantitative Questions And Answers
- What is quantitative development (quant dev)?
- Quant dev vs quant researcher: what’s the difference?
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- What is the best combination of technologies for quant research?
- What is the best setup for backtesting and strategy validation?
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- What’s a backtest trap and how to prevent it?
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- How should a quant team design a data pipeline from day one?
- What is a solid basic architecture for a small quant team?
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- What combination is not good for risk systems?
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