Computer programming has become extremely sophisticated and complex in recent years.
Today, there are many different programming languages that are suited for accomplishing a range of different tasks.
Because most enterprises now rely on tools like data analytics, digital marketing, and advanced customer-facing websites to run and grow their businesses, we’re seeing massive growth in the demand for certain programming languages.
R and Python are now becoming some of the most popular languages, as employers seek out candidates with specialized knowledge and skills. But why the rise of R and Python?
There are different reasons these languages are beginning to dominate. As with any programming language, there are pros and cons to each. Python is popular because it is a robust, easy to maintain, and works as a solid, all-purpose code. It’s a good choice for Internet of Things applications, machine learning and artificial intelligence.
R is best for data visualization, which is becoming a key tool in modern business strategy. It allows developers to build their own tools and is great for handling, storing, and checking data. Ultimately, each organization must weigh the pros and cons when deciding which language to use.
The good news with Python and R is that the high demand is resulting in more people developing the necessary skills to use them. For more information on the best uses for R and Python, take a look at this infographic from Villanova University.
