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Why Fortran remains essential in physics and climate science today

Qué riesgos tienen los sesgos algorítmicos en decisiones públicas

1. Fortran (1957)

Fortran, developed by IBM through John Backus’s direction, became the earliest high-level programming language to achieve widespread adoption. Engineered for technical and scientific computations, this innovation shifted coding practices away from tedious machine instructions toward comprehensible mathematical expressions. Initial performance evaluations demonstrated that Fortran-based programs executed with a speed comparable to manual assembly code, successfully driving swift industrial acceptance.

For decades, Fortran dominated scientific computing, weather modeling, nuclear simulations, and aerospace engineering. Even today, critical systems in physics and climate science rely on modern Fortran standards. Its introduction of the compiler as a practical tool and its emphasis on numerical performance shaped every high-level language that followed.

2. COBOL (1959)

COBOL, developed by a committee led by Grace Hopper, was designed for business data processing. Its English-like syntax made it accessible to non-specialist programmers and corporate environments. By the 1970s, COBOL powered banking systems, payroll, and government databases worldwide.

Despite forecasts of its eventual disappearance, COBOL continues to execute a massive share of worldwide financial transactions. Major financial institutions and insurance providers rely on legacy COBOL architectures to manage trillions of dollars every single day. Its true legacy rests on proving that programming languages can be tailored to specific domains and customized for corporate requirements.

3. Lisp (1958)

Lisp, conceived by John McCarthy, introduced a fundamentally different paradigm: symbolic computation. Centered on recursive functions and list processing, Lisp pioneered concepts such as garbage collection, dynamic typing, and code-as-data (homoiconicity).

During the 1960s and 1970s, Lisp established the bedrock for artificial intelligence exploration. Numerous contemporary capabilities found in Python and JavaScript—such as automatic memory management alongside functional programming paradigms—originate directly from Lisp. Beneath its Spartan syntax lay tremendous expressive capacity.

4. C (1972)

C, forged by Dennis Ritchie at Bell Labs, merged low-level memory handling with high-level concepts. Initially designed to develop the Unix operating system, C emerged as the foundational pillar of systems programming.

C influenced nearly every major language after it, including C++, Java, and C#. Operating systems, embedded systems, databases, and performance-critical applications still rely on C. Its portability enabled Unix to spread across hardware platforms, shaping the modern computing ecosystem.

5. Smalltalk (1972)

Smalltalk, developed at Xerox PARC, introduced the pure object-oriented programming model. Everything in Smalltalk was treated as an object, and interaction occurred through message passing.

The graphical user interface concepts demonstrated in Smalltalk systems influenced personal computing at Apple and Microsoft. Modern object-oriented languages such as Java and Ruby owe much to Smalltalk’s philosophy. It reshaped how developers conceptualized software architecture.

6. C++ (1985)

C++, originally developed by Bjarne Stroustrup, added object-oriented capabilities to C while preserving both high performance and low-level control. This language facilitated large-scale software development without compromising execution efficiency.

C++ became central to game engines, financial trading systems, and major software platforms. Its Standard Template Library introduced generic programming to mainstream development. Many performance-critical applications today, including browsers and high-frequency trading systems, rely on C++.

7. Java (1995)

Java, developed by Sun Microsystems, promised portability with its “write once, run anywhere” model. By compiling to bytecode executed on the Java Virtual Machine, Java programs could run across platforms without modification.

Java swiftly ascended to prominence across enterprise platforms, web servers, and Android application engineering. Corporate sectors adopted it widely due to its robust typing mechanisms, vast standard libraries, and comprehensive ecosystems. Countless gadgets operate Java-powered software today, illustrating its enduring impact.

8. Python (1991)

Python, devised by Guido van Rossum, prioritized readability and simplicity. Its pristine syntax reduced entry barriers while accommodating diverse paradigms, such as procedural, object-oriented, and functional programming.

Data science, machine learning, and automation propelled Python’s rapid expansion throughout the 2010s. Artificial intelligence research adopted Python as its core language, driven by packages like Pandas and TensorFlow. Global surveys routinely position it near the top of the most popular programming languages.

9. JavaScript (1995)

JavaScript, initially developed by Brendan Eich in just ten days, became the language of the web browser. It enabled interactive web pages and dynamic user experiences.

With the rise of Node.js, JavaScript expanded beyond browsers into server-side development. Today it powers full-stack applications, mobile apps, and even desktop software. Virtually every website uses JavaScript, making it one of the most ubiquitous languages in history.

10. Assembly Language (1940s)

Assembly language predates most high-level languages and provides a symbolic representation of machine instructions. Though hardware-specific, it offered a step above raw binary coding.

Assembly remains essential for embedded systems, firmware, and performance optimization. It influenced the development of structured programming by highlighting the need for abstraction. Understanding assembly deepens comprehension of how computers execute instructions at the hardware level.

11. SQL (1974)

SQL, developed at IBM, standardized the way databases are queried and managed. Rather than specifying algorithms, SQL allows users to declare what data they want.

This declarative paradigm completely transformed how data is managed. Banking systems, e-commerce platforms, and corporate analytics are driven by relational databases. Furthermore, even contemporary cloud databases and data warehouses depend on SQL syntax, highlighting its lasting supremacy.

12. Rust (2010)

Rust, developed by Mozilla, guarantees memory safety while preserving high performance. Its unique ownership paradigm prevents frequent bugs—including null pointer dereferencing and data races—during the compilation phase.

Systems programming has quickly embraced Rust, as industry giants such as Microsoft and Amazon incorporate the language into their core infrastructure initiatives. This technology emerges as a contemporary antidote to the safety flaws that have long plagued C and C++. Ultimately, its growing footprint points toward a definitive evolution in secure low-level engineering.

Shared Innovations and Lasting Impact

Across these twelve languages, several transformative ideas emerge:

  • Abstraction: Programmers were empowered by Fortran and C to look past mere hardware commands.
  • Specialization: COBOL alongside SQL demonstrated how certain languages could conquer distinct fields.
  • Paradigm shifts: Functional and object-oriented concepts made their entrance via Lisp and Smalltalk.
  • Portability and scale: Global software environments found robust backing in Java and C++.
  • Accessibility: Python expanded the scope of involvement in coding.
  • Ubiquity: JavaScript integrated coding directly into daily web encounters.
  • Safety and modernization: Current security concerns are clearly addressed by Rust.

The evolution of programming languages mirrors the evolution of computing itself: from scientific calculation to global networks, from isolated mainframes to billions of connected devices. Each influential language did more than solve technical problems; it reshaped how developers think, how industries operate, and how society interacts with technology. Their combined legacy forms the intellectual architecture of the digital age, and future languages will continue to build upon foundations laid by these pioneering innovations.

By Ava Martinez

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