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Some interesting modules in Python include: NumPy A package that provides tools for building multi-dimensional arrays and performing complex math calculations Pandas A library for data analysis and manipulation that includes features like data merging, handling missing data, and data exploration PyTorch An open-source machine learning library that's fast at executing large data sets and graphs Beautiful Soup A library for collecting data from HTML and XML files Keras A high-level neural networks library that provides an intuitive interface for developing deep learning models Seaborn A library for creating statistical graphics like heat maps, violin plots, and scatter plots Theano A library for defining, evaluating, and optimizing mathematical expressions involving multi-dimensional arrays Scrapy A library for web scraping that supports asynchronous and synchronous operations, and HTTPS request handling Other interesting modules in Python include: os Module, sys Module, math Module, datetime Module, random Module, and json Module. read less

1. Platform: Oracle is cross-platform, while SQL Server is mostly Windows-based.

 

 

2. Licensing: Oracle's licensing is more complex and expensive.

 

 

3. Storage: Oracle uses tablespaces; SQL Server uses filegroups.

 

 

4. Syntax: Differences in SQL syntax and features.

 

 

5. Scalability: Oracle is known for better scalability in large envi

ronments.

 

 

 

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