Introduction

Whenever the term artifact is mentioned, the first definition that rings in the mind are items of art curved by human and has historic value. However, in the field of technology, computer and software engineering, the definition is not much different artifact in software engineering refers to things that are involved in the formulation and development of a program such as programming languages, things generated in the formulation process such as test matrices, mock-ups, data models, notes and diagrams. From this brief definition, the development of the python programming language proves to be an artifact. In computer engineering, artifacts are categorized as documentation artifacts, code artifacts and project management artifacts (Shukla, and Dinesh, 277). First came the invention of computers in the 18th century, and then followed by advancement in the specs with improved performance that produced better computers that had larger memory space and powerful processing capability. The first computer-assisted program was developed in 1967 by Delhi at the University of Gothenburg. Since then the world has been a better place to be due to the advancement of computer assisted languages and codes. The most remarkable development of computer artifacts was the development of python coding language that has seen its application in numerous computer programming tasks.

Python Programming Language

Python programming language in simplicity refers to high-level, interpretable and universal programming codes that are applicable in the execution of software tasks through a computer. Its essentiality is that it designs the philosophy of the readable codes with a notable application of white space (Adawadkar, 97). Python has enabled computer programming experts to construct and develop object-oriented codes that have helped in the creation of clear and logical codes for both small-scale and large-scale projects. Python programming language was developed by Guido van Rossum 29 years ago in 1991 as an advancement of ABC computer coding language. In 2000 the second version of python 2.0 was released with more features than the first version. Python 3.0 surfaced eight years later, in 2008 but this had more sophisticated features with enhanced performance capability than the previous version (Bassi, 199). The study of automation, computerized systems, and atomized production would have not been any better it wasn't for the development of python coding.

According to Guido van Rossum in his publication Interactively Testing Remote Servers using Python programming languages underscores the inspiration that leads to the development of the coding language. He further noted that programming language in software engineering is the distinct feature that makes the course and profession lucrative.   In 1991, Conway reorganized that the surface structure of computer software mirrors the purpose it intends to execute. For information technologists, software programming languages are some of the thrilling and interesting aspects of their profession (Shukla, and Dinesh, 277). Just like social or artistic artifacts, IT treats with high regard for the development of various programming languages as they hold a rich impact on the development and advancement of the IT sectors. The development of python programming language from ABC programming is particularly a fruitful domain where the chronological study of software fundamentals and the relationship between development process and software artifacts has contributed to the establishment of more advanced languages (Shrestha, Titus and Chris, 311). Many IT experts and scholars have researched the complexity of programming languages and their development processes to develop more robust systems through technology that could help in the automation of tasks through computer-generated programs. The outcome of these studies in the last two decades has led to the development of technologies that adequately handles the complexities faced by developers in developing codes to execute and run command in a computer-based language. The initial focus was based on the complexity of software artifacts as efforts of providing programmers with better tools for interpreting, understanding and manipulating the software itself. For instance (Adawadkar, 97) argued that with the provision of technology that unlocks the complexity of programming, programmers had a better understanding of the structure of the language and programs they were dealing with.

Impacts of Python Programming languages

Python has leveraged computing systems as it provided suitable computer language that is easy to learn and apply in various real-life computer-integrated programs. In 2013, the python was accorded the fastest-growing computer programming language of the current times as it proved to be a general-purpose coding language (Bassi, 199). With its reduced code length, programming has been simplified than ever allowing programmers to write short, precise and functional programs be it on a small or large scale. Most importantly, python supports multiple coding paradigms such as object-oriented, imperative and functional programs. It has automatic memory of the saved codes and it can be typed from normal computer keyboards (Adawadkar, 97).

The viability of the python language has been illustrated through a high number of users. For instance from Stack Overflow, one of the largest Q&A programming and coding related to the site, here python has over three thousand followers with millions of questions and the fun part of it is that those python related questions are answered instantly and faster compared to other computer languages. This is a manifestation that it is the most applied language in computer coding and programming operations (Akuru, and Maarten, 131). Python is the second most considered coding language at Community Meet-ups and conferences organized by programming communities to enhance the computer user interface among programmers. We often live games, video games, on androids, IOS among other gamers but it's not known to many that the games we enjoy are a combination of codes and programs developed through python and other programming languages. For example, PyGames and GitHub utilize the abundance libraries with the data analysis of python coding language (Shukla, and Dinesh, 279).

Knowledge in programming languages has become an integral part of the basic requirements of employers. It is no longer an auxiliary qualification but soon becoming a mandatory requirement since most organization and companies are shifting their operations from manual to software-based operations (Shukla, and Dinesh, 278). Therefore, to have a relevant workforce, recruits must have basic programming skills. With python being a simple and easy to understand coding language, it has proved resourceful for the digital transition in most companies that are not deep into information technology.

Application of python language

For real-world applications, python is the most preferred coding utilized since it is well designed and simple computer language. It is applied in system programming as it has an internal interface that supports the operating systems suitable for or system programming. It is the most applicable in system programming as it provides tabs for essential functions like parallel processing, file and direction functions (Adawadkar, 95). Another area is a graphical user interface, python through GxPython and Tkinter standards allows for designing of the graphical user interface and the advantage of python language is that it can generate different platforms of the        generated                             GUI                            systems.

Python host numerous provisions and tools for network programmers that specialize in socket programming, client-server connection, Telnet, FTP, email functions among other network and internet programming interfaces. Python is the most applicable language for component integrity since it accommodates tools such as SIP and Swing that imports the implied codes from other languages to readable and executable python language (Bassi, 199). Other fields where python coding has been massively applied include, numerical programming for its mathematical libraries, database programmer, gaming programming, robotic programming and PIL for image processing purposes.

In conclusion, the Python programming language has leveraged computer programming through its numerous adaptable features. It supports multiple programming paradigms including functional programming, object-oriented programs and imperative procedural styles. It features a vigorous type system and reflex reminiscence management and has a hefty and all-inclusive customary library.