ADA programming for beginners

Ada is a modern programming language made for large, long-lived applications as well as embedded systems where reliability, security and efficiency are important.

It is seeing significant usage worldwide in high-integrity / safety-critical / high-security domains including commercial and aircraft avionics, air traffic control, railroad systems, medical devices and commerce & trading systems as well as other important infrastructure.

With its embodiment of modern software engineering principles Ada is a very good teaching language for introductory as well as advanced computer science courses, and it has been the topic of significant university research especially in the area of real-time technologies.

Ada is a very versatile programming language. From one perspective it is a classical stack-based general-purpose language, not tied to any specific development methodology.

Ada is not like other programming languages. Instead of using symbols or shortened naming conventions, Ada uses readability by using unabbreviated keywords as well as explicit language to minimize misalignment within the code. Therefore,  Ada is very often used in industries where software must run faultlessly and without bugs.

Additionally, it has a simple syntax, structured control statements, flexible data composition facilities, strong type checking, traditional features for code modularization (“subprograms”), and a mechanism for detecting and responding to exceptional run-time conditions (“exception handling”).

ADA advantages

• Helps you design safe and reliable code

• Reduces development costs

• Supports new and changing technologies

• Facilitates development of complex programs

• Helps make code readable and portable

• Reduces certification costs for safety-critical software

ADA features

• Object orientated programming

• Strong typing

• Abstractions to fit program domain

• Generic programming/templates

• Exception handling

• Facilities for modular organization of code

• Standard libraries for I/O, string handling, numeric computing, containers

• Systems programming

• Concurrent programming

• Real-time programming

• Distributed systems programming

• Numeric processing

• Interfaces to other languages (C, COBOL, Fortran)