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.

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.

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.

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