![]() Python scripts can be used to automate repetitive tasks and workflows, saving time and reducing the risk of manual errors.What are some use-cases for implementing Python and finance together? In addition to its large standard library of useful tools, Python has great third-party libraries for financial analysis and computing, such as the Pandas and NumPy libraries used in this tutorial.At the same time, Python is robust and performant, making it a viable choice also for core systems and larger applications.Its interactive interpreter tools provide environments where you can write and execute each line of code in isolation and see the results immediately. Python is ideal for prototyping and rapid, iterative development.Python code is concise and close to plain English. Because the language was designed with readability and ease-of-use in mind, it is one of the easiest languages to learn.This makes Python easy to use for those without a technical background. Python is a high-level programming language, meaning that it abstracts away and handles many of the technical aspects of programming, such as memory management, that must be explicitly handled in other languages. ![]() Why is Python a great programming language for finance professionals to learn? ![]()
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