When you start a programming language, you want to start with a comfortable and simple one. Rare for to begin with uncomfortable syntax and weird rules for a beginner to learn to program. Python programming is something that you can initiate your programming journey.
Python is a general-purpose dynamic programming language that focuses on code readability. Python is also a high-level and interpreted language. In this article, you will learn the Top 5 Reasons Why Python is Popular.
Behind the Python Popularity
# Large Developer Community
Python user is so large that anyone encountering any coding and programming problems can quickly find solutions by posting questions or searching for answers on the python developer community, forums, stack overflow, and many more. Many tech companies sponsor programming languages like Microsoft sponsors C#, and Apple sponsors Swift. Python has some great sponsors, too, and Google is one of them.
Python is growing. It doesn’t mean others are declining.
# Ease of Learning, Readable and Maintainable Code
Python makes sense because it’s simple. Also, the main reason for learning is simplicity. Python is also known for its high reliability and simple syntax, drawn for new coders. Python is more than capable of large-scale applications. Instagram is the largest site running with python with Django (web framework).
# Discover AI, ML, and Data Science Field
Growth in python use has been the fastest among computer scientists and researchers, AI/ML engineers, and data scientists.
# Multiple Programming Paradigms
Python is in almost anything field, which is why it is considered so versatile. Python is the swiss army in nature. Python uses in fortune companies because of its multiple programming paradigms.
- Quora
- Startup and many more
# Awesome Libraries
Python is open-source. Developers contributed to its features. Some of them are open-source libraries and frameworks. It indirectly helps you curtail software development costs significantly. You can even have the option to choose from data science libraries like Tensorflow, and Numpy to web frameworks like Django, and Flask.
# Conclusion
Thanks, you made it to the end of the article. Good luck with your python journey. There are so many programming languages out there that choosing a language can be stressful. The truth is, there can never be perfect language in all fields and for everything. ß
