Python libraries and frameworks | parsing HTML and XML documents | Frameworks

Python libraries and frameworks are collections of pre-written code that can be used to perform common tasks. Libraries are typically smaller and more focused on a specific task, while frameworks are larger and provide a more complete solution for developing a particular type of application. Here are some of the most popular Python libraries and frameworks: Libraries: NumPy: For scientific computing and data analysis. Pandas: For data manipulation and analysis. Matplotlib: For data visualization. Scikit-learn: For machine learning. TensorFlow: For deep learning. Requests: For making HTTP requests. Beautiful Soup: For parsing HTML and XML documents. Frameworks: Django: For developing web applications. Flask: For developing micro-web applications. Pyramid: For developing web applications. TurboGears: For developing web applications. CherryPy: For developing web applications. SQLAlchemy: For object-relational mapping (ORM). WTForms: For form validation and processing.