![]() One of the most popular choices for data science, Matplotlib has a variety of applications. It produces graphs and plots that can be used for data visualization, as well as an object-oriented API for embedding the plots into applications. Matplotlib is a plotting library for Python that has a community of over 700 contributors. Array-oriented for more efficient computing.Fast, precompiled functions for numerical routines.Here are some of the main features of NumPy for data science: The Python library is often applied for data analysis, the creation of powerful N-dimensional arrays, and forming the base of other libraries like SciPy and scikit-learn. NumPy is a general-purpose array-processing package providing high-performance arrays and tools, and it addresses slowness by providing the multidimensional arrays and functions and operators that operate efficiently on them. It uses a large set of high-level mathematical functions that make it especially useful for efficient fundamental scientific computations. Numpy is a Python library that can be seamlessly utilized for large multi-dimensional array and matrix processing. High-level structures and manipulation tools. Tools for data analysis in python series#
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