Still think Low and No-code are advancing, but for now Python reigns.
Three Reasons Python Is The AI Lingua Franca
By Calvin Hendryx-Parker in Datanami
Earlier this year, Python celebrated its 30th anniversary as a programming language. For any software language to last three decades and maintain relevance to developers of all stripes is something special.
Much of what made Python a spectacular achievement when Guido van Rossum released version 0.9.0 in 1991 informs its success today. Python has always been simple and consistent, offering readable code and an entry ramp for developers learning a new language. These aspects of the language, along with its “batteries included” philosophy, paved the way for amateurs and professionals alike to push the boundaries of open source software programming over the last 30 years.
Recently, this has meant integration of artificial intelligence (AI) and machine learning (ML). Python’s initial release came before AI was a broadly accessible business tool, but quite a lot has changed since 1991. The 1996 chess match between IBM’s Deep Blue and Grand Champion Gary Kasparov demonstrated that AI was capable of complex algorithmic problem solving at levels well above even the most skilled human beings. Thereafter, the business of AI began to boom. The market for AI/ML in software development is growing at a rapid pace as AI streamlines industries as diverse as insurance and higher education. According to a Fortune Business Insights report from July 2020, the market size of the global AI market was valued at about $27 billion in 2019 and is projected to reach more than $250 billion by 2027.
Developers should expect AI/ML projects to comprise a greater and greater amount of their overall work in the coming years, and the time is now to learn the best language for artificial intelligence: Python. What makes Python so well-suited to AI and ML? Here are three reasons why Python can be the most important tool in your AI toolbox. ...
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