Programming languages are in use for quite some time, and newer programming languages are being developed continuously. Among several programming languages, Python is undoubtedly one of the most popular languages and in high demand.
It is a popular programming language and was created and released in 1991 by Guido Van Rossum. Python is used for making software development, web development on the server-side, for mathematics and system scripting.
Technically, Python can be defined as an object-oriented, high-level programming language that has integrated dynamic semantics meant for web and app development. For Rapid Application Development, it can be beautiful as it offers dynamic typing as well as effective bonding options. It is a relatively simple language to learn as it has a unique syntax that primarily focuses on readability.
It is possible for the developers to read and translate the python code easily than any other language. Since it has no language and experience barriers, it can be collaborative that can reduce the maintenance and development cost of programs. Also, Python can support the use of modules and the packages that means that the programs can be made in a modular style. Also, the code can be reused across a wide variety of projects that makes the use of Python very favorable among the developers.
Further, the developed module or the package can be easily scaled up for use in other projects. It is also effortless to import and to export the developed modules. Python can easily be an enticing option for the developers that do not want to worry about incurring high cost for development. Both the interpreter and the standard library are available at free of charge, and Python and other tools are readily available in all major platforms. Most importantly, it is a straightforward programming language to learn and can be used very effectively to develop software on the web as well as mobile.
In a big data field, choosing a correct programming language can be very crucial to achieve the project goal. Moreover, once you start developing your project, it is complicated to migrate to another language. Python remains the best choice for a programming language for its high accuracy, consistency, and simplicity. You can find several genuine reasons for learning Python, and the ideas are discussed in brief in the following paragraphs:
It has excellent scope: It is an object-oriented language that supports advanced data structure like the lists, dictionaries, sets, etc. These abilities of Python can enhance the scope to simplify as well as speed up the data operations.
Python was created with an idea to overcome the severe shortcomings of ABC language. All the useful features of the ABC language has been incorporated while making Python. The new desired elements have been added to make it more functional and exciting. There are excellent upgradations, and today, Python can work with languages written in C, Java, etc.
It also has the capabilities of interacting with various other channels like graphic design, GUI based desktop applications, image processing applications, web applications, games, etc. The scope of Python does not end here, as it also has applications in business and enterprises, language development and prototyping. It is considered different and better when compared to other languages as it is very user-friendly with a straightforward syntax that is simple and readable. Moreover, the capability of interacting with other languages can be done by the use of modules, and these modules are mostly open source.
Career opportunities: You can have brilliant career opportunities once you have learned Python, as Python tops the chart for acceptance in industries. It is commonly interpreted as a high-level programming language, and it ensures faster code readability with the brevity of codes. It means there are possibilities of making better designs with the usage of fewer code lines with Python Programming language. It can also be an excellent tool for the creation of dynamic scripts in both large and small scales.
It is extensively used for web development, testing, scriptwriting, app development, and for making upgrades. It also offers the web developers automatic memory management and dynamic type system that supports multiple programming. Anybody who can complete Python programming course and become an expert can have various opportunities and brilliant career option like data developer or data scientist.
Companies all over the world are on the lookout for a skilled and qualified workforce with Python programming background. Apart from being an open-source language, it has gained tremendous importance a most versatile programming language. There are hot career opportunities for Python fresher also. With the right programming background, a new entrant in Industry with Python language background can go up the ladder very fast.