Python Programming Language
Python is one of the most popular programming languages in the world. It is a high-level general purpose, interpreted, and dynamic language, which focuses mainly on code readability. Python language was developed by Guido Van Rossum in 1991. Python assists its users in coding using fewer steps compared to C++ or Java. Many organizations are adopting Python as the operating system due to the availability of several programming models. Besides other programming languages, such as C++, C, and Java, Python is an object-oriented and user-friendly system with a bulky and inclusive library, which has dynamic and memory management features, making it the most popular and preferred language in the field of software design.
Popularity of Python as a Programming Language
Python has become one of the most preferred programming languages in recent years over Java, C++, and C. The language developers have made several changes to improve its performance. Over the 25 years of its existence, several add-on aspects have been incorporated. The most recent version of Python, which was introduced in 2008, was based on simplicity and user-friendly approach (Srinath, 2017). One of the main reasons programmers and organizations prefer Python is because of its resourceful characteristics with less programming aspects.
Readable and Maintainable Code
When programmers are developing software, they usually focus on the quality of the source code to simplify updates and most enhance maintenance. Python language allows programmers to convey their ideas without including new programming codes. Additionally, Python focuses on readable codes that use English words rather than punctuations. Thus, the aspect allows a developer to create custom programs without writing new codes. Due to their readability, the codes assist the developers in maintaining and updating software with the least effort and time (Giridhar, 2016). The readable codes make it easier for individuals to understand the language and enhance its operation during update procedures.
Multiple Programming Paradigms
Most of the recent programming language, including Python sustains several development models. The language fully supports structured and object-oriented programming with a vibrant system and automatic memory management (Srinath, 2017). Thus, the programming models and features play a significant role in the development of complex programs.
Compatible with Major Platforms and Systems
Most of the operating systems support Python programming language, making it easier to install regardless of the platform used. Most importantly, a developer may use Python interpreters to test codes on specific tools and platforms (Srinath, 2017). The initiative is made possible since Python is an interpreted development language that allows testing of codes on several stages without making changes. Therefore, recompiling codes after modification stage may not be necessary since they run on a different platform with an immediate display of results (Oliphant, 2007). Hence, this capability allows a developer to make changes in the coding system without using more time during development.
Robust Standard Library
Python has a robust library, which gives the language advantage over other programs. The standard library allows a developer to make choices on several modules depending on specific requirements. Through each module, programmers can include functionality in the program without adding any code (Koepke, 2011). For example, when programmers are developing a web application using Python, they can employ specific modules to perform string operations, implement web services, enhance internet protocols, and manage operating systems interface. Moreover, programmers can obtain information about certain modules by searching on the Python Standard Library documentation (Srinath, 2017). Thus, due to the availability of this feature, Python remains a user-friendly system even for beginners.
Many Open Source Frameworks and Tools
Since Python is an open source programming language, it helps in reducing the development cost. The language allows programmers to use several open source frameworks, development tools, and libraries to reduce development time without raising the cost of programming. The platform enables developers to choose from a wide range of contexts and tools depending on individual needs. For instance, a developer can speed up or simplify web development by using frameworks, such as Cherrypy, Pyramid, or Django (Srinath, 2017). Therefore, the accessibility of several open source codes makes development work more manageable and less costly when using Python.
Simplify Complex Software Development
Python is a multi-purpose programming language. Therefore, it can be used for developing both web and desktop applications. In addition, Python can be used to program complex numeric and scientific applications. Those capabilities are possible since Python is equipped with features that allow for visualization and data analysis. Hence, it is possible to use the data analysis feature to develop customized data solutions without extra time or effort (Koepke, 2011). Since Python can perform several operations, it makes it possible to create sophisticated software using less time at no extra cost.
Adaptive to Test Driven Development
Using Python, developers can create a program prototype. Then, from the sample, an individual can directly build a program by refactoring the Python code. The language allows programmers to write codes and test them during application development through the adoption of a test-driven approach. It is possible to write the code then use tests to evaluate it as software development continues (Bastein et al., 2012). Using the test-driven progress, programmers can use it to assess if an application meets the needs of its source code.
Despite being one of the most popular programming languages, Python has some disadvantages. The program does not have inbuilt features, and hence, a developer must use Python modules, libraries, and framework to hasten the development of custom programs. Compared to other programming languages, such as C++ and Java, Python is slower in its operation. To improve its performance, a developer can make adjustments in the application code with the help of a custom runtime (Srinath, 2017). Nevertheless, Python can always be used to increase software development speed and improve maintenance.
Python is a universal language and provides more options to programmers. It is regarded as the most suitable language for learning real-world programming. Python has been considered a powerful, portable, open source language that is supported by different technologies and operating systems. Many organizations have adopted the program as an official programming language since it is user-friendly with portable codes. Additionally, the codes used may not be re-written after an altercation, making it a reliable language for many programmers. Python supports both structured and object-oriented programming. However, most developers prefer the latter, since it assists in solving difficult programs by dividing complex aspects into manageable bits. The language is used for web development, system operations, scientific modeling, and as administrative tools. As it is evident from the discussion, Python is the most popular and widely used programming language based on various capabilities.