Several frameworks are essential for Python programming, each serving different purposes and catering to various development needs. For web development, Django and Flask are the most prominent. Django is a high-level framework that encourages rapid development and clean, pragmatic design. It comes with a robust set of built-in features, including an ORM, authentication, and an admin interface, making it suitable for large-scale applications. Flask, on the other hand, is a micro-framework that provides the basic tools to build web applications. It is more flexible and lightweight, ideal for smaller projects and those who prefer to add extensions as needed.

For data science and machine learning, frameworks like TensorFlow, PyTorch, and Scikit-Learn are indispensable. TensorFlow and PyTorch are deep learning frameworks that provide comprehensive tools for building and training neural networks. Scikit-Learn is a simpler, more accessible library for classical machine learning algorithms and data preprocessing.

In the realm of automation and testing, frameworks like Selenium for browser automation and PyTest for testing are essential. Selenium allows developers to automate web browsers, while PyTest is a versatile testing framework that supports simple unit tests as well as complex functional testing.

To master these frameworks and enhance your Python skills, consider enrolling in a Python Certification Course.

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