Programming Languages Tutorial

Programming Languages Tutorial

A programming language is a methodological approach to implement a certain algorithm through the means of the computer. The code written to execute a certain algorithm is called a program, and the language used for the purpose is addressed as the programming language.

There are various programming languages, each with its own features and attributes. Examples are C, C++, Java, VB.NET, Python, etc. The use of a programming language solely depends upon the need of the user and the context.

Programming languages generally facilitate automation. They basically simplify complex tasks that otherwise may prove to be difficult to implement through a manual approach.

Why do we need to learn a programming language?

If we don’t have programming languages then maybe we will remain stuck at a particular point not developing further. In fact, most of the technological developments taking place in the world owe themselves to programming languages.

We have electronic devices and various softwares on computers functioning only because of programming languages. Programming languages have witnessed fast growth. Learning them has become essential as they enable complex analysis through a few lines of code.

Certain algorithms are difficult to implement through a manual approach, but through programming languages, the result can be obtained in a few seconds. Moreover, programming languages offer the ability to deal with a vast amount of data.

Applications of Programming Languages

• Certain programming languages such as C programming is used to build operating systems for computers. They are also used in robotics.
• Programming languages are used for building websites. They enable building strong backends for large websites.
• Programming language like Java is a versatile tool. It works on various types of devices. The android phones work on Java. Big data technologies are based on the concept of Java. The robust feature of Java is thus used to handle innumerable records and drive analytics over the vast data.
• Programming languages are used to build games, embedded software, medical technologies and automation in automobiles.
• With the changing nature of looking at data, programming languages like R and Python are being heavily used for driving advanced analytics and data science. These programming languages allow the building of context-based, high-end artificial intelligence-based machine learning models that facilitate excellent decision making.

Prerequisites

The prerequisites associated with learning of programming languages depend on which programming language the learner intends to learn.

Certain prerequisites associated with learning are as follows:

• A prospective learner must have good logical skills. Programming languages are a mere way to implement intended algorithms and logic to build the program is the most important skill required to be present in the learner.
• For learning statistical programming languages like R and Python, the learner must be familiar with statistics, mathematics concepts, and machine learning models. It must be remembered that these are just programming tools to implement the machine learning models, and their implementation is solely governed by the user’s knowledge.

Target Audience

• Those who are having the interest to learn and develop skills in programming.
• For learning statistical programming, prior knowledge of basic statistics is essential.