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Most serious data scientists prefer R to Python, but if you want to work in data science or machine learning in an investment bank, you’re probably going to have to put your partiality to R aside . Banks overwhelmingly use Python instead.

Most serious data scientists prefer R to Python, but if you want to work in data science or machine learning in an investment bank, you’re probably going to have to put your partiality to R aside . Banks overwhelmingly use Python instead.

Best Python Courses for Banking, Finance & FinTech (2022)

Python is used in various quantitative finance solutions which process and analyze big financial data and large datasets . Libraries like ‘Pandas’ help to simplify the process of data visualization and carry out advanced statistical calculations.

Python is easy to write and deploy, making it a perfect candidate for handling financial services applications that most of the time are incredibly complex . Python’s syntax is simple and boosts the development speed, helping organizations to quickly build the software they need or bring new products to market.