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Computer science programming is often called ‘programming’ or ‘coding’ as they easier to use. Usually computer science programming involves in writing, modifying, fixing, and maintaining the source code of a computer software program. Since the software source code is written in a computer science programming languages, the programmer or ‘coder’ needs to know the programming language in depth. The objective of computer science programming is to have a piece of software that helps to perform some activity.

In the conventional software development life cycle, computer science programming phase is considered as one of the most important steps. Although there are ongoing debates on whether the computer science programming is an art or engineering practice, I personally believe that computer science programming is an engineering exercise. This is basically due to that fact that there is a lot of logic being used in the subject.

When it comes to the history of ‘programming’ it has had a different form. First of all, it was all mechanically predefined procedure that was introduced as programming. One of the most famous ‘programming’ incident was Al-Jazari’s robotic musicians who were programmed using pegs and cams. Although this type of ‘programming’ take a different path from the modern computer science programming, there is a positive influence from the history to modern era of programming.

There are a few requirements in the modern computer science programming. Although quality requirements were not important when computer science programming was first introduced, quality has become one of the key factors in modern programming practices. When it comes to quality, efficiency, performance, reliability, robustness, usability, and portability are considered as the critical factors. If any source code misses any of these characteristics, then that piece of code is not considered as a quality code.
For making the programmer’s life easy, there are many algorithms introduced and standardized. These algorithms can be reused for addressing many problems in the field of computer science programming. In addition to that, there are a number of methodologies introduced for making the computer science programming practice easy. There are four computer programming langue categories based on the methodologies; procedural (or structured), functional, and logical. Based on the methodology, these programming languages are ideal for software development in deferent domains.

When it comes to computer science programming languages, almost all the languages follow a simple set of guidelines; input, output, the calculations, conditional executions, and repetition. For writing a successful computer software, a programmer needs to understand and employ the above guidelines in such way that they comply with the architecture they are working on.

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