Is Python good for learning finance and working in the financial world? The answer is not only a resounding YES, but yes for nine very good reasons. This article gets into the details behind why Python is a must-know programming language for anyone who wants to work in the financial sector.
If you’re thinking about dipping your toe into the finance sector for your career and you stumble across this article, you may be wondering, “How can Python help in finance?”
You, like me, may be surprised to learn that you should learn to code altogether – and even more surprised to learn that the best language for finance is a popular data science language, Python. Learning financial programming with Python is becoming a requirement.
Finance and banking have a reputation for very high salaries, so the job field attracts a large number of applicants. If you’re one of them, you should know Python is hugely popular for finance — and still growing in popularity. Python is widely used in risk management, the creation of trading bots, quantitative finance for analyzing big financial data, and more.
Here are nine answers to “Should I learn Python for finance?”
1. Fast, Simple & Clear
If you’ve read any other coding listicle, you’ll already know the reasons Python rules in general so I’ll save you time and condense them into a single bullet: Python is fast for both beginner and experienced coders to learn. It’s easy to read as it has a clear and simple syntax. It’s quick to deploy – you can build working code in just a few lines.
It’s a great idea to learn Python for finance because of the same reasons that make Python great for anything else. If you want to analyze financial data with Python, you’ll be pleased to hear it’s a breeze to start.