Humans
use different languages to communicate
and understand each other due to the different countries and cultures, as well
as programming languages, are different because each of them is used to serve a
specific purpose, but this does not prevent some of them are used to do more
than one purpose. for example; Java is used for Android development, C++ is
used to develop computer games with advanced graphics, and Python is used for
web development and data processing. When designing a specific computer program,
its purpose is to solve a specific problem with a set of codes. The primary
purpose of all these languages is to convert
human ideas into a language that computers understand (1 and 0). However, in
addition to the popular programming languages that
we all know, there are about 2,500 other programming languages out
there, so the question arises: why are there so many programming languages?
Examples
of some programming languages and their
functions
As
we mentioned, there are many programming languages, and each has its own
specific function, and these are some of them:
● Javascript: It is considered one of the most popular programming languages, and was created from the beginning in 1995 for front-end development so that both web developers and designers can learn and create website features in a short time frame. Currently, Java is used for general purposes, but mainly for Android development, back-end development, and front-end and embedded software.
● C++: The language created to upgrade the features of the general-purpose programming language C. C++ is currently used to develop computer games with high-quality graphics, and is also used in developing operating systems and desktop applications.
● Python language: This language was invented in 1991, and the
purpose of its invention was to simplify writing and reading code. Most
programming languages used special
characters to separate blocks of code, and therefore, the readability of these
languages was very poor. Python
introduced the use of indentation with its notable use of large white spaces to
improve code readability.
Python
is for general-purpose programs, but it is not as fast as other programming
languages, but it has an excellent ability to develop websites and manipulate
data, and the program build time is much less in Python compared to other
programming languages.
● HTML/CSS: This is not a general-purpose programming language
per se, but is geared more specifically toward developing websites. Languages like
Python, which is used to create the backend (the part that interacts with the
database) of websites, work by sending HTML to the server. HTML provides the
structure for the website, while CSS is used to design and restructure the
website.
● PHP: Invented in 1994 to create web applications, PHP is used
to add functionality to an HTML program. It allows you to retrieve data and
generate HTML in useful ways before sending it to the user's browser for
viewing. Companies like Facebook use this language extensively.
● R language: This has become a popular programming language in
recent years, and is used exclusively for statistical analysis and things that
are closely related to this field.
● Go: Created by Google in 2009 because the languages they
were working with at the time were too slow and inappropriate for certain
tasks, and Google wanted a programming language that was fast in performance
but easy to read at the same time.
Programming Language: When Hardware and Software Meet!
As
you probably know, almost all computing takes place in the Central Processing
Unit (CPU). The modern processors we have today contain many microelectronic
components. This processor can be broken down into smaller computing units
known as transistor logic gates. The primary function of these logic gates is
to implement three basic operators: AND (and to add), OR (or to choose), and
NOT (not to reject). These operators operate on a binary numerical system (0
and 1) where 0 indicates no current flowing through the transistor, and 1
indicates no current flowing through the transistor.
A
modern CPU has something called minified code preinstalled inside it. This code
is a layer of basic instructions used to carry out more complex executions,
known as machine code.
Compiled and Interpreted Programming Languages
Perhaps
the most influential decision in the design of a programming language is
whether to compile or interpret, ie compiled languages such
as C++ and Go are precompiled to machine code, resulting in an executable.
Compiled languages such as
Python, JavaScript, and Ruby are translated into machine code at run time. An
operating system is a program that starts when you start your computer until
you shut down the computer. The operating system is also responsible for
managing complex tasks, such as managing files and managing inputs and outputs.
Compiled
languages tend to be faster than compiled
languages; Because the process of converting code to machine code does not need
to happen as fast. However, this means that developers using compiled languages
have
to wait longer than users of compiled languages between
making a code change and testing the program.
Another
difference is that compiled languages are
statically typed (each variable holds a predefined type such as an integer or
string, which is known in advance), while compiled languages are
usually typed dynamically (a variable can store a value of any type).
Developers see static writing as overly restrictive, but it reduces the number
of errors that can occur at run time, as most mismatched write errors will be
caught at right time. For example, trying to add a number and a memory address
together will cause a runtime error in a dynamically typed language, but a
statically typed language can detect and warn against this error before the
program is executed.
Syntax in programming languages
Computer
processing chips understand machine code (binary instructions of patterns 0 and
1), and in theory, we as humans could write programs this way, but it would be
incredibly impractical.
Assembly
language is a step up in the chain, allowing a small set of human-readable
keywords that can be used to write code. Although some tech experts can program
this way, the vast majority of people need something better. High-level
programming languages such as C++,
Java, Python, and Javascript provide a powerful set of accessible keywords that
make programming accessible to a wide audience.
Memory management
Another
important factor in language performance is how it manages memory, as both
compiled and compiled languages need
a way to allocate memory to store data, and free that memory once it is not
being used. The ways languages do this
usually fall into two categories; Manual and automatic.
Some
languages, including C++, choose to place more memory management burden on the
developer. The manual memory management strategy gives the developer complete
control over when memory is allocated and released, allowing them to adjust
program performance and memory usage. However, manual memory management
requires more thought on the part of developers, and failure to do it properly
can lead to exhausting errors, memory leaks, and security vulnerabilities.
On
the other hand, languages like Java and
Python manage memory allocation internally. This relieves developers from
worrying about memory management and gives them more time to work on other
program features, but it adds complexity to the inner workings of languages and
can lower performance in some applications.
Why do developers keep creating more programming languages?
Although
there are many programming languages, developers do not stop creating new
languages, for the following reasons:
● Increasing Technological Advancement: The first and perhaps
the biggest reason why so many programming languages exist
is that technology is always evolving, and if we want to keep up with the speed
of technology, we need to create and adopt more sophisticated tools to make
software for these technologies. Also, current languages lack
the capabilities to tackle many modern problems, and the problem may be so
unique that there are no current solutions to it, so people or companies decide
to create a new language themselves.
● Different developer tasks require different programming
languages: Another reason why there are so many programming languages is
that developers work on different tasks in the process of developing websites,
games, and other applications, and the jobs require different languages and
tools at different stages to accomplish them.
● Different projects have different needs and goals: Another
reason why there are so many programming languages is
that different projects have different needs and goals. Today, no single
language can meet the needs of developers or companies, so they use multiple
languages to achieve their goals.
Developers also check the relevance and accessibility of the language to
implement for their projects, so needs and goals determine the use of the
language.
How do you choose the programming language that you should learn?
Now
that I understand why there are so many programming languages, another question
you might ask next is which programming language should I learn. The answer is
quite simple: instead of looking at the programming languages themselves,
you should think about your end goals. What type of programming job do you want
to work at? What do you want to build? What do vacancies require in your area?
Once you look at these factors, you can choose a programming language that will
help you achieve your goal.
For
example, if your goal is to create a professional website, learn HTML, CSS, and
JavaScript. If you want to break into game development, go with C++ and C#. Or,
if you want to start your career in mobile apps, you should check out Swift for
iOS and Java or Kotlin for Android apps.
In the end, the main reason that there are so many programming languages is that different problems require different tools to solve them. Each programming language has certain features and characteristics that make it suitable for specific tasks. And all programming languages are similar when we look at them from a broad perspective. They are all tools to enable communication between humans and computers, and they convert what we write into machine code (0 and 1) so that computers can understand our instructions.