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The immense amounts of data, the vast numbers of transactions made, and the need for fast processing have made computing technology a crucial aspect of working in the financial sector. Finance has long been at the forefront of developing technology, and learning three coding languages could have a powerful impact on your productivity at work.
Java, Python, and SQL are three coding languages that you should consider learning if you work in the finance industry, and the differences between the three will help address a variety of things such as developing fintech apps, running simulations, or data science.
Used for electronic trading, corporate banking portals, wealth management offerings, and more, Java finds extensive use in the financial services industry. The importance of this coding language cannot be understated.
Java’s enhanced security and ability to be used across multiple platforms has also made it highly popular in the finance industry.
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The second coding language to learn is Python, which is a powerful tool for data science, AI, and machine learning. It creates a wide variety of libraries to help with statistics and mathematical models, making this a good choice for develops who work with economics and mathematics — a good portion of the financial sector.
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While it may not be classified as a full-fledged programming language, SQL is still important when managing things like consumer data or finding patterns in mountains of data to create useful information. SQL stands for Structured Query Language, and it operates databases, specifically in relation to storing, retrieving, and manipulating data.
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