By- Srushti sharma
Python is a great choice for AI and ML applications because of its many capabilities and advantages, which include:
Simplicity and readability: Python is an easy language to understand and write because of its clean, straightforward syntax
Extensibility and compatibility: Easily expandable and interoperable with various languages and platforms, including C, C++, Java, and.NET.
Libraries and frameworks Offers wide range of libraries and frameworks that offer pre-written, usable code modules and functions for variety of AI and ML activities.
NumPy: Numerical library that offers quick and effective operations on multidimensional matrices and arrays.
SciPy: Scientific library that offers a range of instruments and features for engineering, statistical, and mathematical simulations and computations
Pandas: A data analysis library for processing and manipulation of big and complicated datasets.
Matplotlib: Library for data visualization that offers variety of graphs and plots.
Scikit-learn: Machine learning library that offers several ML model and method implementations for different applications