Manipulating date and time is a common scenario in any programming language. Without the help of a handy library, it can become a tedious job requiring sufficient effort. Let’s have a look at the Arrow library, which is heavily inspired by popularly used Python libraries Moment.js and Requests. Arrow provides a friendly approach for handling date and time manipulation, creation, etc.

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Cython is a superset of Python that lets you significantly improve the speed of your code. You can add optional type declarations for even greater benefits. Cython translates your code to optimized C/C++ that gets compiled to a Python extension module.

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Have you ever come across a noisy image? I mean an image that was not that clear when viewing it? I think we do come across such images very often, especially when many images nowadays are taken by our mobile phone cameras or low-resolution digital cameras.

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Python is a great programming language, but packaging is one of its weakest points. It is a well-known fact in the community. Installing, importing, using and creating packages has improved a lot over the years, but it’s still not on par with newer languages like Go and Rust that learned a lot from the struggles of Python and other mature languages.

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Numeric is a package that was originally developed by Jim Hugunin. It is considered the ancestor of NumPy, a Python library and an open-source project created by Travis Oliphant which stands for Numerical Python. Travis created NumPy by incorporating features of the Numarray package into Numeric.

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