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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Launching an online business can prove to be seriously complicated. Although on paper, it’s way easier to create an online business than a bricks-and-mortar one, an entrepreneur can get lost in the multitude of options. Some of the most common pitfalls an online entrepreneur gets stuck in include:

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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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Pickles in Python are tasty in the sense that they represent a Python object as a string of bytes. Many things can actually be done with those bytes. For instance, you can store them in a file or database, or transfer them over a network.

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Recently, we looked at list comprehensions in Python. Similar to its sibling the list comprehension, a dictionary comprehension is nothing more than a shorthand way of creating a new dictionary collection. While it may seem a little more complicated than the list version, it is actually quite simple to understand.

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It is very common to encounter errors during the execution of a program. Two common kinds of errors that you may have to deal with are syntax errors and exceptions. Syntax errors occur when you type the code incorrectly. In such cases, the erroneous line is repeated by the parser with an arrow pointing to the earliest location where the error was detected.

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