One Simple Trick for Speeding up your Python Code with Numpy

Over the past several years the popularity of Python has grown rapidly. A big part of that has been the rise of Data Science, Machine Learning, and AI, all of which have high-level Python libraries to work with! When using Python for those types of work, it's often necessary to work with very large datasets. Those large datasets get read directly into memory, and are stored and processed as Python arrays, lists, or dictionaries. Working with such huge arrays can be time consuming; really that's just the nature of the problem.