Best Programming Languages in Brazil

MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work. Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques. Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC. MATLAB works with Simulink to support Model-Based Design.

Delphi is the ultimate IDE for creating cross-platform, natively compiled apps. Are you ready to design the best UIs of your life? Our award winning VCL framework for Windows and FireMonkey (FMX) visual framework for cross-platform UIs provide you with the foundation for intuitive, beautiful user interfaces that wow on every platform: Windows, macOS, iOS, and Android. Design your master UI layout once, then easily customize platform- and device-specific views without duplication of design effort. Drag-and-drop visual and non-visual components from the palette using our visual designer. Visually connect user interface elements to data sources using the LiveBindings Designer. Real-time design validation using Live On-Device Preview to broadcast the active form to multiple devices simultaneously. Add responsive design with resolution-aware components for desktop, tablets, and smartphones. Real, platform-specific native controls for an improved user experience.

Component Pascal is a general-purpose language in the tradition of Pascal, Modula-2, and Oberon. Its most important features are block structure, modularity, separate compilation, static typing with strong type checking (also across module boundaries), type extension with methods, dynamic loading of modules, and garbage collection. Type extension makes Component Pascal an object-oriented language. An object is a variable of an abstract data type consisting of private data (its state) and procedures that operate on this data. Abstract data types are declared as extensible records. Component Pascal covers most terms of object-oriented languages by the established vocabulary of imperative languages in order to minimize the number of notions for similar concepts. Complete type safety and the requirement of a dynamic object model make Component Pascal a component-oriented language.

Forth, the computer language was created for programming embedded and real-time applications. Today, it is available for developing applications on Windows, DOS, and variants of Unix that include macOS. Additionally, commercial-grade Forth cross-compilers generate highly optimized code that runs on a variety of microprocessors and microcontrollers and proves themselves very capable in custom-hardware environments. Forth is a high-level programming language, although most versions include an assembler. Fourth-system providers often include software tools to help application code make good use of system resources. Forth is interactive. It is conducive to developing modular, well-tested code in shorter development times. It can also result in very concise code. Some programmers are not accustomed to languages with such brevity, directness, and (apparent) simplicity. Forth has a reputation for rapid development, lean code, and superb performance.

AMPL is a powerful and intuitive modeling language designed to represent and solve complex optimization problems. It enables users to formulate mathematical models in a syntax that closely mirrors algebraic notation, facilitating a clear and concise representation of variables, objectives, and constraints. AMPL supports a wide range of problem types, including linear programming, nonlinear programming, mixed-integer programming, and more. One of its key strengths is the ability to separate models and data, allowing for flexibility and scalability in handling large-scale problems. The platform offers seamless integration with numerous solvers, both commercial and open-source, providing users with the flexibility to choose the most appropriate solver for their specific needs. AMPL is available across multiple operating systems, including Windows, macOS, and Linux, and offers various licensing options.

An easy-to-use data analysis and visualization environment based on the powerful, fast and efficient GAUSS Matrix Programming Language. Prototype to production: Embed custom GAUSS analytics directly in enterprise or web-applications. Customizable programs that extend the GAUSS platform in the fields of econometrics, finance, risk analysis, statistics and more. You can code ideas and techniques straight from the latest journals in GAUSS as quickly as you can with a pen and paper. The GAUSS matrix language is the most natural way to bring cutting edge math, statistics and machine learning to life. GAUSS is the product of more than three decades of innovation and refinement of efficient, native code. This combined with our optimizing compiler and modern threading capabilities, allows you to get your answers before the competition.

BoxLang is a modern, dynamically and loosely typed scripting language for the Java Virtual Machine (JVM) that supports Object-Oriented (OO) and Functional Programming (FP) constructs. It can be deployed on multiple platforms and all operating systems, web servers, Java application servers, AWS Lambda, WebAssembly, and more. BoxLang combines many features from different programming languages to provide developers with a modern, fluent, and expressive syntax. BoxLang has been designed to be a highly modular and dynamic language that takes advantage of all the modern features of the JVM. It is dynamically typed, which means there's no need to declare types. It can perform type inference, auto-casting, and promotions between different types. The language adjusts to its deployed runtime and can add, remove, or modify methods and properties at runtime.