5 Reasons You Should Use Python Programming Language
The Python programming language is one of the most popular programming languages among developers. It consistently ranks in the top 10 programming languages on the TIOBE index—a widely recognized ranking of programming language popularity—and has been No. 3 on multiple occasions in recent years.
Many Python developers admire this language for its simplicity and power, and it has useful applications in many different domains, as we will see later in the post.
Looking at its rise to popularity over the last two decades, we can find many good reasons. In this post I’ll share the five most important with you. If you’re not yet a Python programmer, this will highlight what you’re missing. But even if you are, you could still get some new ideas on how to use Python to create amazing things. Let’s get started!
Multiple Programming Paradigms
Python is a versatile language. It supports multiple paradigms, namely procedural programming, object-oriented programming, and functional programming. Each of these programming paradigms has several pros and cons. The great thing about Python is that a developer can choose the approach that is the most advantageous for a given project.
Python’s paradigm versatility is one of several features that set it apart from other programming languages.
For example, its dynamic type system allows Python developers to create complicated software systems. In addition, Python employs automatic memory management, which makes the programmer’s job much easier and quicker. Older programming languages require programmers to take extra time for memory allocation.
Artificial Intelligence (AI) and Data Science
Python is the ideal language for both data science and artificial intelligence.
Though the R programming language has long been popular for analyzing and manipulating data, Python has a vast arsenal of indispensable libraries and tools for data science. The reason it has so many libraries and tools is simply because Python was designed to be easy to create tools for.
There is a huge community of developers who make and improve libraries for Python, and there is a huge demand for data science tools.
The popular SciPy library contains everything scientists need for statistical analysis. SciPy has been around since 2001 and is continually updated to keep up with the needs of modern data scientists.
In addition, Python has extremely powerful tools for machine learning, such as PyBrain. This tool is used extensively for both supervised and unsupervised learning, which are crucial techniques in modern artificial technology development.
Machine learning is of growing importance in many industries, including banking, marketing, and medicine. As a result, these industries will find Python to be an invaluable asset in the coming years.
Readable and Maintainable Code
One of Python’s biggest advantages over other languages is its readability. Its keywords are very intuitive compared to those in other programming languages. They resemble English, which makes them easier to understand, and Python has fewer of the pesky punctuation requirements that make other programming languages challenging.
In addition, due to Python’s powerful built-in functions, Python Developers can create programs that accomplish more with fewer lines. Python has a lot of built-in functions that are designed to shorten code. It is also simple to reuse code again and again. This conciseness means that the code is easier to maintain, edit, and read.
These have been important components of Python since it was created in the 1980s. Its design philosophy emphasizes simplicity, explicitness, and clarity.
Readability and maintainability in code translate to better efficiency. It takes less time and energy for developers to fix bugs and update code. Programmers spend even more time reading code than writing it, so it is essential for code to be as clean, clear, and concise as possible.
Simplify Complex Software Development
Python can be used to do a huge variety of tasks. It is equally suitable for desktop and web development. Comprehensive frameworks simplify the Python development process for both desktop applications and web applications.
Building apps with Python for desktop is simple. There are a variety of user-friendly frameworks for Python, like Tkinter to help developers create user interfaces for their apps. These frameworks have excellent, comprehensive documentation. That way, developers do not have to spend time hunting down solutions to problems they run into when creating their apps.
Building websites with Python is a simple and streamlined process as well. Python has several well-established web frameworks, like Flask, that developers use to quickly and efficiently set up complex web applications. Web development tasks done in Python are completed in a fraction of the time it takes to do the same tasks in PHP.
Because of its usefulness in web development, Python is used for many well-known, successful websites such as Reddit.
Adopt Test Driven Development
Python is ideal for test-driven development (TDD). TDD means being able to test the software before the software product is finished. In other words, Python allows developers to test the product as they are developing.
This helps the developers to know whether they are on the right track while they create a product, which saves time down the road. TDD also helps developers improve the design of a program along the way.
TDD is significant because some programming languages do not allow for easy testing before a product is finished. If they work with those languages, developers must wait quite a while before they can test their programs and discover issues that they must then go back and fix. TDD reduces software bugs by a lot and helps developers to be more confident in their programs.
Moreover, Python even allows automated testing, which makes the process easier and saves time.
Python: Popular for Good Reason
In conclusion, Python is an extremely useful programming language. It is one of the most popular programming languages used today, and there are good reasons for this, as we saw.
Among these are its versatility, its user-friendliness, and its usefulness in a variety of domains. Python’s popularity is likely to continue growing over the next few years. This will be particularly true in industries where machine learning is of growing importance, such as banking, marketing, and medicine.
In such industries, Python will be an invaluable asset—and so will be a Python programmer!