Python has an expansive library of open-source data analysis tools, web frameworks, and testing instruments make its ecosystem one of the largest out of any programming community. Python is a powerful multi-purpose programming language created by Guido van Rossum. It has simple easy-to-use syntax, making it the perfect language for someone trying to learn computer programming for the first time. The language is also widely taught in universities and used for working with beginner-friendly devices such as the Raspberry Pi.
The IEEE ranked Python as the #1 programming language in 2019, which continued its hot streak after ranking it #1 in 2018, #1 in 2017, and #3 top programming language in 2016. RedMonk’s June 2019 ranking had Python at #3, which held consistent from previous years’ rankings in 2018 and 2017.
Some of the top companies use Python in their technology stacks:
A social media platform that relies on Python to allow its 4 mil daily active users to photograph, edit, store, and share their creations in a personal digital album.
A major market player and a music streaming app that incorporates data analytics to manage its Radio and Discover features.
Python suits a variety of web projects, from simple to complex. It is widely used in different spheres such as travel, healthcare, transportation, finance, and many others for web development and software testing, scripting, and generation.
5 Reasons Why You Should Use Python
Readable and Maintainable Code
While writing a software application, you must focus on the quality of its source code to simplify maintenance and updates. The syntax rules of Python allow you to express concepts without writing additional code. At the same time, unlike other programming languages, emphasizes code readability and allows you to use English keywords instead of punctuation. Hence, you can use it to build custom applications without writing additional code. The readable and clean code base will help you to maintain and update the software without putting in extra time and effort.
Multiple Programming Paradigms
Like other modern programming languages, Python also supports several programming paradigms. It supports object-oriented and structured programming fully. Also, its language features support various concepts in functional and aspect-oriented programming. At the same time, it also features a dynamic type system and automatic memory management. The programming paradigms and language features help you to use Python for developing large and complex software applications.
Compatible with Major Platforms and Systems
At present, Python supports many operating systems. It allows you to run the same code on multiple platforms without recompilation. Hence, you are not required to recompile the code after making any alteration. You can run the modified application code without recompiling and check the impact of changes made to the code immediately. The feature makes it easier for you to make changes to the code without increasing development time.
Adopt Test Driven Development
You can use Python to create a prototype of the software application rapidly. You can even build the software application directly from the prototype simply by refactoring the code. Python even makes it easier for you to perform coding and testing simultaneously by adopting a test-driven development (TDD) approach. You can easily write the required tests before writing the code and use the tests to assess the application code continuously. The tests can also be used for checking if the application meets predefined requirements based on its source code.
Simplify Complex Software Development
Python is a general-purpose programming language. Hence, you can use the programming language for developing both desktop and web applications. Also, you can use Python for developing complex scientific and numeric applications. You can take advantage of the data analysis features to create custom big data solutions without putting in extra time and effort. At the same time, the data visualization libraries and APIs help you to visualize and present data in a more appealing and effective way. Many developers even use Python to accomplish artificial intelligence (AI) and natural language processing tasks.
However, Python, like other programming languages, has its own shortcomings. It lacks some of the built-in features provided by other modern programming languages. Hence, you have to use Python libraries, modules, and frameworks to accelerate custom software development. Also, several studies have shown that Python is slower than several widely used programming languages including Java and C++.