Python Libraries and Modules MCQ
Python Libraries and Modules #python #pythontutorial #pythonlibraries
1. NumPy: A library for scientific computing with Python. It provides a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities.
2. Pandas: A library providing high-performance, easy-to-use data structures and data analysis tools. It is built on top of the NumPy library and can be used for data manipulation and analysis.
3. Matplotlib: A plotting library for creating publication-quality figures. It provides a large library of plotting functions that can be used to create a wide range of graphs and charts.
4. SciPy: A library for scientific computing in Python. It includes modules for optimization, linear algebra, integration, interpolation, and statistics.
5. Scikit-learn: A library for machine learning in Python. It includes algorithms for classification, regression.
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