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15 Oct 2021

Programming – Types, Programming with Online Courses, and Applications

What is Programming?

Programming is designing and creating an executable computer program to achieve a specific calculation result or perform a particular task.

Programming includes tasks such as: analyzing, generating algorithms, profiling the precision and resource consumption of algorithms, and implementing algorithms in a selected programming language (commonly known as encoding).

The source code is written in one or more languages that programmers can understand.

Rather than machine code that is executed directly by the central processing unit.

The purpose of programming is to find a series of instructions that automate the execution of a task (which can be as complex as an operating system) on a computer, often to solve a specific problem.

Therefore, proficient programming often requires knowledge of several different subject areas.

It can be including knowledge of the application domain, specialized algorithms, and formal logic.

What does the programming include?

Tasks accompanying and relating to programming include testing, debugging, maintaining source code.

Also, implementing compilation systems, and managing derived artifacts, such as machine code from computer programs.

Software engineering combines engineering techniques with software development practices.

Then, these can be considering part of the programming process.

But often the term software development is useful for this broader process.

Also, the term programming, implementation, or coding is reserve for the actual writing of code.

Reverse engineering is a related process useful by designers, analysts, and programmers to understand and recreate/redeploy.

Modern Programming

Quality Requirements

Whatever the development approach, the final program must meet some essential characteristics.

The following properties are among the most important:

Reliability: How often the results of a program are correct

It depends on the conceptual correctness of the algorithms and the minimization of programming errors such as B.

Errors in resource management (for example, buffer overflows and race conditions) and logical fallacies (for example, division by zero or errors by one).

Robustness: How well a program anticipates problems (not errors) due to errors

These include situations such as incorrect, inappropriate, or corrupted data.

Also, unavailability of necessary resources such as memory, operating system services, and network connections, user errors, and unexpected power outages.

Ease of use: The ergonomics of a program

The ease with which a person can use the program for its intended or, in some cases, unexpected purpose.

This includes a wide range of text, graphics, and sometimes hardware elements that enhance the clarity, intuition, consistency, and integrity of a program’s user interface.

Such problems can even make or break your success regardless of other issues.


The range of computer hardware and operating system platforms on which the source code of a program can be compiled/interpreted and executed.

This depends on the differences in the programming capabilities provided by the various platforms.

It is including hardware and operating system resources, expected hardware and operating system behavior.

Also, the availability of platform-specific compilers (and sometimes libraries) for the source code language.


The ease with which a program can be modified by its current or future developers to improve or adapt, correct bugs and security gaps, or adapt it to new environments.

This quality may not be directly apparent to the end user.

But it can significantly affect the fate of a program in the long run. Best practices during early development make a difference in this regard.


A measure of the system resources a program consumes (processor time, memory space, slow devices such as hard drives, network bandwidth, and in some cases even user interaction) – the less the better.

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