Top Data Science Libraries & Frameworks to Learn in 2025
Introduction: Data science is evolving rapidly, and keeping up with the latest tools is essential for success. Professional data scientists entering 2025 must master numerous libraries that strengthen data processing techniques, artificial intelligence, and machine learning abilities. Successful data practitioners and novices should learn these tools to stay ahead in their field. Students seeking data science skills through industry-standard frameworks should consider joining a data science course in Hyderabad . The research examines the key libraries and frameworks that data scientists must know by 2025. 1. Python-Based Libraries Python is popular as the primary data science programming language because it includes an extensive library. a. NumPy The numerical computations required in modern science depend on NumPy (Numerical Python). Data scientists need these efficient array operations for multi-dimensional arrays, which makes them an essential tool for their work...