Guido van Rossum designed ‘Python’ as a high level general purpose programming language in 1990. Python was first officially released in 1991 and the most updated release of python made available on 24th September, 2020 (version: 3.8.6). The design value of Python incorporates code readability, compared with other high level programming languages. Moreover, the object-oriented, structured and functional programming approach of this programming language allows programmers to write logical and clear code for small, medium and even large-scale projects. A large and standard library collection has made Python as one of the best choices for the application developers around the world.
Uses of Python
Python is used in developing applications in different domains, which made this programming language more versatile compared with others. Right now, thousands of third party modules are available in Python programming language and followings are some of the most widely used domains of application development using this programming language:
1. Application Development for Web and Internet.
2. Uses of Python in Scientific and Numeric computing.
3. Uses of Python for Academic Purpose.
4. Desktop based Graphical User Interface (GUI) in Python.
5. Python in Software Development.
6. Python in Business Application.
Fourteen Reasons to Use Python in Real World Application Development
1. Developing Versatile Application
Using Python, software developers are able to develop applications in different domains like web application, network programming, graphical user interface (GUI) based applications, Games and 3D applications, stand-alone application, scientific and numeric applications and so on.
2. Versatile Programming Paradigm
Python supports both structured and Object Oriented programming; therefore it supports different programming paradigms. Functions like automatic memory management and dynamic type systems are also an integral part of Python programming language. Programmers also have the flexibility of developing both small and large scale applications, using Python. Even, Python is used to develop complex software applications as well.
3. Vigorous Standard Library
A huge collection of robust standard libraries made Python the first choice to develop applications for many programmers. Software developers enjoy the availability of standard libraries with a wide range of integrated modules. Programmers can add more functionality in their application with the help of this module without writing any extra code. Moreover, the standard library documentation also helps the application developers to develop web based applications, implement string operations and other uses like interface protocol.
4. Compatibility With Multiple System and Platforms
Python is mostly compatible with the most widely used system and platforms, as the developers are using this programming language mainly for application development. Python is supported by almost every major operating system and with the help of a Python interpreter, codes written in Python can be run on specific platforms and tools. Another key advantage of Python programming language is to execute the modified code without recompiling, and the developers can easily monitor and check the impact of change in code on the application. Thus, application developers can also save the time of the development lifecycle, as well.
5. Database accessibility
Using Python, programmers can easily access the database. Even it is possible to customize different databases like Oracle, MySQL, Postgre SQL, Microsoft SQL Server and other databases. Object databases like Durus and ZODB are integrated with Python programming language and used for standard database application programming interface (API), which is free to download and use.
6. Readability of the Code
Another best part of Python programming language is, its codes are easy to read, manipulate and maintain. The simple syntax of Python allows the programmers to reuse and/or re-write any previously written codes. This allows the programmers to come up with quality code for any application and make their life easy by simplifying the maintenance process and maintaining the source code.
7. Abridge Complicated Software Development Process
Python is a general purpose programming language, though is used in developing complex applications. Python has two other dynamic features integrated within the language, which are data visualization and data analysis, which helps the developers to develop tailor made applications without putting extra time and effort on it.
8. Availability of Open Source tools and Framework
Python is easily available, because it is an open source programming language. This has a significant impact on the application development cost. A large number of open source applications are available for the development tools, libraries and frameworks of python, without considering any extra development expense. Python framework is designed to simplify and faster for web based application development and some widely used frameworks like Django, Pyramid, Flask etc. On the other hand, Python GUI based framework is available for developing GUI based software.
9. Python in Data Science
Data Science could be considered as one of the most dominant aspects of today’s computing and it has a large number of technical aspects under the umbrella. Python programming language is one considered as one of the best choices for Data Scientists around the world due to the versatility of the language. In order to extract data and insights, Python has integrated libraries like NumPy, Pandas, SciPy and so on. Data visualization is one of the key aspects for Data Scientists. Tools like Matplotlib and Seaborn in Python help Data Scientists to extract and process data.
10. Python in AI (Artificial intelligence) and ML (Machine Learning)
Machine learning and Artificial Intelligence are two indispensable aspects of today’s computing. For computer programmers, those who are used to dealing with the Machine Learning and Artificial Intelligence, consider Python as the most secure and stable programming language that has the most effective computational capacity essential for developing Machine Learning models. Furthermore, Python has a significant collection of libraries which are widely used in Machine Learning Applications, some such libraries are: SciPy, Keras, pandas, Tensorflow and some more similar like this one.
11. Python in Internet of Things (IoT)
Internet of Things (IoT) is another real life example of the use of Python. Using Python programming language, programmers can turn any electronic appliance (home/office) into an electronic gadget using UNO or RaspberryPi. Among the programmers, Python is the first choice for developing embedded software due to its portability.
12. Developing Enterprise level Application Using Python
Enterprise level applications are far different compared with stand-alone and/or regular web applications. In most of the cases, enterprise level applications are designed and developed to meet the purpose of an organization. Programmers prefer developing enterprise grade applications using Python programming language. The key reasons for choosing Python for developing enterprise grade applications is the readability, functionality and scalability of this programming language. The type and pattern of enterprise application varies from organization to organization. Moreover, developing an enterprise grade application is a bit complicated compared with the development of other applications. Programmers are required to be concerned about the security issues and the capacity of the application to deal with the database access and connectivity.
13. Python in Image Recognition and Text Processing
Applications developed in Python are used to process text and identify images from a database. Apart from this, Python also allows developers to design 2D and 3D images, using this programming language. GIMP, Inkscape and Paintshop are few such examples of real life applications based on graphic design, using Python. This programming language also has some 3D animation packages incorporated with Python, like Houdini, Lightwave, Blender, 3ds Max and so on.
14. Python in Academic Application
Using the Python programming language, programmers are developing online education platforms. Python is an easy to use programming language having a simple learning curve with a huge collection of resources. The syntax of the Python programming language is similar to English language. That is why those who are even at the beginning level of Python are able to develop basic and advanced levels of education in Python.