Python is also one of the top 5 programming languages, and it’s the fastest-growing major language in the world right now. While Python has been growing steadily for twenty years or so, it has experienced exponential growth in the past five (5) years because of its adaptation as the primary language for machine learning and data science.
Read more about its inception
A brief history of Python is that Guido van Rossum designed it in the 1980s in the Netherlands. The easy-to-use ABC programming language influenced it. The language was not named after the snake. The BBC comedy show called Monty Python’s Flying Circus gave the idea of “Python” to the creator, Guido van Rossum.
The language is used to store and retrieve user credentials from the database that they’re kept in. And, if a website uses Python as its server-side language, the chances are that the Django package is being used. That’s because Django is one of the most popular server-side web frameworks for Python.
It is also important to note that Python separates itself from other server-side programming languages because it’s very easy to use and powerful in analyzing data. This is why it’s been a go-to language for fields like machine learning data science and other math and heavy analytics fields. Popular machine learning packages like Py-Torch and scikit-learn are a lifesaver for Python developers. When topped with popular numeric packages like pandas, NumPy and matplotlib, the use cases of Python are drastically increased.
Now, let’s take a look at a few examples to see how both of these languages have been used to create some well-known software. One famous project Python was used to create is Spotify. Python is used on the back end of the application. So, when Spotify suggests a similar artist or genre, it’s using Python to analyze your music listening data and then serve a recommendation.
There are multiple points to ponder upon in this comparison.
Python is extremely easy for beginners to use because with one look at Python you can deduce what the code is going to be doing in the function. Python’s written code is human-readable, and it’s concise as compared to C. Many people even joke that a Python script is executable pseudocode due to its straightforward syntax.
Python, which is designed for handling large data sets, is supported by a large community of data scientists that makes it easier to use by developing beautiful open-source libraries. Topped with efficient file-handling and support for a range of platforms, Python is easily the best language out there for data scientists.
Due to its server-sided nature, Python has easily overshadowed all the other languages used for managing backend processes and flows. Topped with its data handling expertise, which is an essential element of managing a website’s backend, Python provides a complete package for developers.
Also Read: Python Project Ideas & Topics
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