Python is a hugely popular fintech coding language – Financial Post


Coding skills can give fintech analysts a true edge, and are only becoming more important

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Python is becoming a hugely popular programming language in fintech, with major brands, social networks, and other major industries relying on it as a key tool. As reported by Netguru : “Common in applications that range from risk management to cryptocurrencies, Python has become one of the most popular programming languages for fintech companies. Its simplicity and robust modelling capabilities make it an excellent tool for researchers, analysts, and traders. Python has been used with success by companies like Stripe, Robinhood, or Zopa.”

The report goes on to say that that Python has been among the three top coding languages for years, and that emphasis appears to be growing quickly, and that, “eFinancialCareers showed that during the last two years the number of finance-related jobs mentioning Python has almost tripled, growing from 270 to more than 800.” Important fintech firms including Citigroup and social media networks like Venmo make use of Python, and even offer coding classes to analysts as further education.

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Having an understanding of coding languages like Python can create greater insight for those in the finance industry. Python has a number of fintech applications, including building analytics tools, providing the structure for banking software, cryptocurrency applications, building stock trading strategies, and more. Having your own coding skills can be of huge benefit, and the best thing is that learning to code is easy.

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A great place to start is with The Premium Coding Skills Bundle , which can give you a broad introduction to coding and its applications. It’s available now for $37 and includes nine essential coding courses divided into 210 lessons you can take whenever you need and complete at your own pace, working through the included 29 hours of content. The classes are taught by top-rated tutor Dr. Chris Mall, an expert in coding languages and who holds a Ph.D. in Computer Science and a high instructor rating of 4.5/5 stars. Start learning key coding skills and apply them to your fintech career.

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