Libraries, Frameworks, and Tools

One of the greatest – if not the greatest- advantage of Python is that it has a vast collection of libraries, frameworks, and tools.

‍

Libraries

Python’s libraries make developers’ and data scientists’ life way easier by providing pieces of pre-written code that can be reused and integrated into projects or programs. The Python Standard Library comes with Python and is incredibly extensive, containing many built-in modules (written in C) that are ready to be used as standardised solutions for daily programming issues. Moreover, Python users can also find additional libraries available from PyPI (Python Package Index).

‍

For Data Science, Python also stands out for the multiple libraries available to handle mathematical and scientific functions, such as TensorFlow, PyTorch, NumPy, Pandas, and so on.

‍

Frameworks and Tools

Python programmers benefit from a great array of frameworks and tools. Regarding full-stack web frameworks, Python has multiple solutions, such as TurboGears, Dash, Web2Py, and of course, Django, which is probably the most popular one.

‍

Plus, for microframeworks, Python also offers many options, including Flask, Pyramid, Bottle, Falcon, FastAPI, and so on. They are microframeworks because they focus on a specific aspect, contrarily to the full-stack frameworks, which usually include a database management system, an HTTP application server, an AJAX toolkit with UI elements, a request dispatcher for server-side development, and also a templating engine.

‍

Last but not least, Python additionally provides web client frameworks, content management systems, and supplementary web components.