Python imports libraries by using the library name and the import statement. For data science applications, scikit-learn, matplotlib, pandas, and NumPy are often used libraries. To import pandas, for instance, use import pandas as pd. This gives you access to library functions and methods via the alias pd. Similarly, other libraries can be loaded as needed. Strong capabilities for data processing, analysis, visualization, and machine learning applications are provided by these libraries. Enrolling in a Python certification course can help you understand these libraries and their data science applications on a deeper level.
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