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💥3 Useful Python Libraries for Data Science and More
Let’s introduce 3 libraries that can be useful in Data Science tasks:
• Fabric is a high-level Python library (2.7, 3.4+) for executing shell commands remotely over SSH to get useful Python objects. It is based on the Invoke API (execution of subprocess commands and command line functions) and Paramiko (an implementation of the SSH protocol). https://github.com/fabric/fabric
• TextDistance is a library for comparing the distance between two or more sequences using over 30 algorithms. Useful in NLP tasks to determine the distance and similarity between sequences. https://github.com/life4/textdistance
• Watchdog - Python API (3.6+) and shell utilities for monitoring file system events. Useful for monitoring directories specified as command line arguments, allows you to log generated events. https://github.com/gorakhargosh/watchdog
GitHub GitHub - fabric/fabric: Simple, Pythonic remote execution and deployment. Simple, Pythonic remote execution and deployment. Contribute to fabric/fabric development by creating an account on GitHub.
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