Python, for naïve aspirants, is just a coding language but otherwise, it is considered the Swiss army knife of coding; a muse for developers and users equally. Named after a British comedy troupe, Monty Python it was created in 1992 by Guido van Rossum and has come a long way to gain this enormous popularity.

Recently it has been ranked as the most in-demand coding language by Coding Nomads. Python language is used by more than 80% of the developers and turns out it is one of the top highest paying jobs. TIOBE index which calculates ratings for programming languages based on search engine hits reported a 14.26% increase in ratings in the last month alone. In 2019, TIOBE predicted it would replace C and JAVA as top popular languages and it did. Therefore, it is no wonder why most job seekers ensure they learn Python to land their dream job. Analytics Insights has some interesting facts listed for you, as to why Python is gaining enormous popularity among job aspirants.

Python is a high paying programming language

According to Stack Overflow survery, 2015, Python was only second to Swift in salaries at $105.000 median value. There is no better indicator for the popularity of a skill than the number of job postings it has. As per TIOBE survey, Python jobs saw a significant increase in postings from 70,242 in September 2019 to 79,942 in February 2021. Given its versatility and adaptability to different industries such as artificial intelligence, data science, web development etc, it is only natural to expect humongous increase in its demand by companies, so much so that a website ‘Python Jobs’ is created, where only Python related jobs are posted.

Python goes well with data

As organizations have started depending on data in their ambitious endeavours of transforming the business, Python programming has found a new citadel of glory in data science. With every person generating around 17MB of data every day, there will be lot of work in a data scientist’s hands and Python can make a good companion, for its easy syntax and user-friendly tools. It is an object-oriented programming language with cross functionalities and easy-to-use libraries, well suited for streamlining large and complex data-sets. It is vastly used for scripting as well because of its dynamic semantics and rapid application development capabilities.

Take a walk on the cake – Learn Python

Unlike other programming languages, its syntax is pretty much clean and simple. Reading the code would feel like reading English as it doesn’t need too many technical terms to be included. This implies it is amenable to even those who do not have prior knowledge in programming language; and precisely because of this reason, Python is seeing more and more developers jumping into the pool. According to a report, around 22% of Python developers have less than a year or zero experience in programming.

Python – AI’s trusted partner

AI projects vary significantly from other software projects, in terms of technology stack, skills set, and the kind of research required. Given Python’s versatility, stability and flexibility and the tool kits it has, it makes a right combination for AI project. From development to deployment, Python makes the best fit for AI and ML based projects. It helps developers be flexible and confident of the software projects they are building. Jean Francois Puget, a software engineer at IBM, based on trend search results on indeed.com, opined that Python is the most popular language for artificial intelligence and machine learning. Here is an example to demonstrate what tools can do in terms of extracting insights from the data. Skyscanner, a travel industry giant was successful in predicting the behaviour of new airplane routes using a Python algorithm. They compared thousands of origins and destinations to determine the criteria for route choice.

“It’s clear that Python is an extremely useful and beloved language, and is here to stay for decades more to come.”