Top 5 Programming Languages for Data Scientists
analyticsinsight

Top 5 Programming Languages for Data Scientists

Shiva Ganesh

Python – The All-Rounder: Known for its simplicity and powerful libraries like Pandas, NumPy, and TensorFlow.

Python – The All-Rounder: Known for its simplicity and powerful libraries like Pandas, NumPy, and TensorFlow.

R – Statistical Powerhouse: Ideal for statistical computing, visualization, and academic research.

R – Statistical Powerhouse: Ideal for statistical computing, visualization, and academic research.

SQL – Data Handling Pro: Crucial for querying structured data in relational databases—every data scientist needs SQL.

SQL – Data Handling Pro: Crucial for querying structured data in relational databases—every data scientist needs SQL.

Julia – High Performance: Designed for numerical analysis and computational science—fast and efficient.

Julia – High Performance: Designed for numerical analysis and computational science—fast and efficient.

Scala – Big Data Friendly: Integrates well with Apache Spark, making it perfect for big data processing tasks.

Scala – Big Data Friendly: Integrates well with Apache Spark, making it perfect for big data processing tasks.

Read More Stories
Read More Stories
Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp