It’s also useful for visualizing values over time.īasically, Matplotlib is great for plotting and works hand-in-hand with NumPy. Specifically, Matplotlib handles large datasets and comes complete with standard graphing functions. Use: Going off of the above, Matplotlib is used with NumPy to help with datasets. These data sets often contain thousands of numbers and to iterate through every single value one at a time would be difficult and lengthy. Meaning, machine learning uses many operations on arrays of data. Use: NumPy is a library used to make powerful arrays. For machine learning, NumPy divides the data and manipulates it easily. Here are a few programming library examples you might encounter in Python, JavaScript, and other languages. ![]() Libraries in programming languages are collections of prewritten code that users can use to optimize tasks.
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