Programming
4 Top Programming Languages For Data Science + Comparison
Data Science is a vast field that requires a wide range of skills to master it. Many different programming languages can be used for data science, each with its advantages and disadvantages. This article will look at the top 10 programming languages for data science based on their popularity, ease of use, and ability to handle large amounts of data.
1. Python
Python is by far the most popular programming language for data science. It is easy to learn and has a wide range of libraries and tools that allow you to perform almost any data analysis or machine learning task. Python is also relatively fast and can handle large amounts of data effectively.
2. R
R is another popular language for data science, although Python is more challenging to learn than it is. It has many robust statistical, and machine-learning libraries that allow you to perform complex data analyses. However, R can be slow when dealing with large amounts of data and has fewer libraries than Python.
3. SQL
SQL is a standard database query language that allows you to manipulate and query…
