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.
