Big Data code optimization in Python NumPy: sound processing
Big Data code optimization in Python NumPy + sound processing in MoviePy + binarizing images in computer vision – Pillow
Created by Mark Misin | 7 hours on-demand video course
Programming is one of the most flexible fields I know of. You can create a program that achieves a certain task in so many ways. However, that does not mean that all ways are equal. Some are better than others. That is especially visible when your program has to work with big data. Working with big data means working with gigantic arrays and matrices.
You can create a program that achieves the same task like the other one, but it does so 1000 times faster. It all depends on how you code and which coding practices you use. And this is what you will learn here. You will learn the good and the bad coding practices, so that you would learn to code the right way when dealing with big data. In this 100% project based course, we will use Python, the Numpy and the Moviepy library to create a fully functional sound processing program.
What you’ll learn
- Code optimization in Python using the NumPy library
- Sound processing in Python using the MoviePy library
- Fundamentals of digital images
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