The Resurgence of Fortran: Why This 1957 Programming Language is Back in the Spotlight
The TIOBE Index, a widely recognized measure of programming language popularity, has seen a surprising resurgence in Fortran, a language created in 1957. This has left many wondering, why is Fortran popular again in 2024?
Fortran, a programming language that refuses to fade away
Fortran’s popularity can be attributed to its unique strengths in numerical analysis and computational mathematics, making it an ideal choice for artificial intelligence and machine learning applications. According to Paul Jansen, CEO of TIOBE Software, “All those models need to be calculated,” highlighting the importance of Fortran in this area.
“Fortran is especially good at numerical analysis and computational mathematics.” - Paul Jansen
In addition to its numerical prowess, Fortran is also regaining popularity in image processing, such as in gaming and medical imaging. The language’s versatility, speed, and maturity make it an attractive choice for developers.
Fortran’s applications in image processing
The TIOBE Index also saw other changes in May, with Python, C, and C++ maintaining their top three spots. PHP, on the other hand, continues its downward trend, falling from 8th to 16th place over the last year.
Learning Machine Learning from the Best
If you’re interested in machine learning, there are many free university courses available to get you started. For example, MIT’s Introduction to Machine Learning course covers a range of topics, from linear classifiers to convolutional neural networks. Harvard’s Data Science: Machine Learning course focuses on practical applications, such as movie recommendation systems. The University of Michigan’s Applied Machine Learning with Python course is another comprehensive resource, covering popular machine learning algorithms and their implementation in scikit-learn.
Machine learning is a rapidly growing field with many free resources available
Stanford University’s Machine Learning course and Statistical Learning with Python course are also highly recommended. These courses can help you gain a solid foundation in machine learning and statistical modeling.
Conclusion
Fortran’s resurgence is a testament to the ever-changing landscape of programming languages. As machine learning and artificial intelligence continue to grow, it’s essential to stay up-to-date with the latest developments and tools. Whether you’re a seasoned developer or just starting out, there are many free resources available to help you learn and grow.
Stay ahead of the curve with machine learning and artificial intelligence
