Python is ideal for data science due to its simplicity, readability, and extensive library support. It enables seamless data manipulation, statistical analysis, and visualization through powerful libraries like Pandas, NumPy, Matplotlib, and Seaborn. Python also supports machine learning with tools like TensorFlow, allowing quick experimentation and model development. Its open-source nature and active community contribute to continuous improvements and resource sharing. Whether handling large datasets or building predictive models, Python offers flexibility and efficiency at every stage. If you want to build a strong foundation in this field, consider enrolling in a relevant data science course: https://www.theiotacademy.co/advanced-certification-in-data-science-machine-learning-and-iot-by-eict-iitg