Python has enjoyed a long productive period since 2015 as the top programming language for various data science courses. Thousands of projects have sprouted in the last couple of years that are trained by certified professionals from top Python data science course. But, now, Python seemingly faces a stiff competition from its immediate rivals, R, and a new entrant in the market, Julia.
What is Python Programming Language?
Python is developed by an open source DevOps community that goes with the name “Python Software Development. This programming language is a high-level multi-paradigm general purpose programming language. In the recent years, Python has garnered a massive fan following in the data science industry due to its easy English semantics that supports all programming functionalities built-in around its core. Why do data scientists prefer to work with Python? Because, you don’t need to care about the general punctuation and syntaxes that are often found to be the case in traditional programming languages such as C, C++, C#, and Java. Finally, no curly braces and commas to understand how to run an “If-Else” statement!
If you are testing with Python, all you have to learn is duck typing where developers build their own use cases using object oriented programming.
Top applications are found in the field of multi-marketing, automation, data analytics, GUI, Database management, machine learning, mobile app development, and web data scrapping domains.
What is“R” Programming Language?
If your mission is to build a statistical computing application, go for R. Yes, you can learn R along with Python, but it’s best to reserve your resources for this course. Officially, R is a GNU environment package, which means that developers have the opportunity to work in a semi-customized environment. In general, R programmers need to tackle the basics of C and Fortran to succeed with this project. If you love building customized functions, most likely to be developed in Statistical computing and cloud management applications, R is definitely meant for you. In a data science course with Python, you can learn how to integrate R and Python families together, specifically for Machine Learning and Advanced data analytics streams.
The Wedge: Julia
If you love challenges you could even explore newer programming languages, such as Julia. Like Python in its heydays, Julia is gaining popularity among DevOps teams working on Twitter, Facebook, YouTube, Slack, etc.
Don’t worry if you are enrolled with the Python data science course, because the Python programming language continues to be the rock-solid foundation for computer scientists, data analysts, business intelligence professionals, and AI Engineers around the world. Yet, it’s time to mix and match your programming skill with R, and Julia.