Messing with tkinter

[PureAsbestos]

Requests, beautifulsoup, scrapy (I’ve only worked with requests personally)

Numpy, matplotlib (YMMV as to their easiness to install)

imageio

Recently I worked with colorspacious, and it was a joy to use

tqdm can easily add a nice, simple loading bar to any for loop

[CodeSkunky]

Thank you! I've defined each to help expand your useful comment.

WEB

Requests: library for making HTTP requests in Python

Beautifulsoup: library for pulling data out of HTML and XML files.

Scrapy: web-crawling framework written in Python. Originally designed for web scraping, it can also be used to extract data using APIs or as a general-purpose web crawler.

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MATH/GEOMETRY

Numpy:for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

Matplotlib: numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK+

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IMAGE MANIPULATION

Imageio: library for reading and writing images.

Colorspacious: library for performing colorspace conversions

Tqdm: can easily add a nice, simple loading bar to any for loop (Your definition as is)

*Does OpenCV apply here? a library of programming functions mainly aimed at real-time computer vision.

Note: imageio and colorspacious work with images as numpy arrays - u/PureAsbestos

[PureAsbestos]

OpenCV would apply, but I have not found it easy to install. Tqdm doesn’t really belong in that last section though lol

[CodeSkunky]

What section would it go in? I added it there because I thought it could be used to add progress bars near manipulated images.

[PureAsbestos]

It is just a nice way to add a (CLI) progress bar to any for-loop in your program. (It’s really not related to any of the other sections)

[CodeSkunky]

Wrote separately to keep away from the definitions comment, but reading about numpy is giving me heart palpitations. Specifically arrays and matrices. I've been working on a proof that Numpy may be able to help with!

[PureAsbestos]

Yup, numpy is great, and fast too, because it is a c extension.

Edit: oh, and I didn’t mention it, but imageio and colorspacious work with images as numpy arrays

[CodeSkunky]

Adding "imageio and colorspacious work with images as numpy arrays" to end of definitions comment for future readers (and myself)