Best Programming Languages for Mac

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.

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.