Programming Languages for Data Scientists To Learn

Knowledge extraction from data is the emphasis of the field of data science.

In layman's words, it involves collecting comprehensive data by applying scientific principles to sizable data sets that are then utilised to guide high-level decision-making.

Consider the ongoing COVID-19 worldwide pandemic: Government officials are examining data sets from numerous sources, including contact tracing, infection, mortality, and location-based data, to identify the Areas affected.

how to most effectively modify ongoing support models to offer assistance where it is most required while attempting to lower infection rates.

Python has emerged as the preferred programming language for its versatility and ease of use, earning praise from both software engineers and data scientists.


Due of its open-source nature and system-agnostic architecture to support most operating systems, R is frequently compared to Python because of its inherent capabilities.


The class-based, object-oriented language Java has been around for about 25 years, and during that time it has adhered to the motto "write once, run anywhere."


Julia is the newest programming language on this list, having been around for less than 10 years compared to the other languages.


Scala is a high-level programming language that uses the JVM platform and was created to benefit from many of Java's advantages while also addressing some of its drawbacks.