NumPy
Numpy is like a big box of legos that can help us do math easily. Each lego brick represents a number. With numpy, we can build and manipulate lots of different math things like numbers, arrays, and matrices.
Numbers are just single lego bricks that represent a value, like 5 or 10. An array is like a tower of lego bricks. We stack the lego bricks on top of each other to create a tower, and we can perform operations on that tower of numbers. A matrix is like a board with lots of lego bricks arranged in rows and columns.
We can use numpy to do things like add or subtract arrays, multiply or divide matrices, and perform other mathematical operations easily. Numpy also provides many tools that help us work with arrays and matrices, like finding the average value, sorting them, or finding the minimum or maximum value.
Overall, numpy is really helpful for doing math in code because it gives us a lot of tools to work with and makes it easier to manipulate mathematical objects like arrays and matrices.
Numbers are just single lego bricks that represent a value, like 5 or 10. An array is like a tower of lego bricks. We stack the lego bricks on top of each other to create a tower, and we can perform operations on that tower of numbers. A matrix is like a board with lots of lego bricks arranged in rows and columns.
We can use numpy to do things like add or subtract arrays, multiply or divide matrices, and perform other mathematical operations easily. Numpy also provides many tools that help us work with arrays and matrices, like finding the average value, sorting them, or finding the minimum or maximum value.
Overall, numpy is really helpful for doing math in code because it gives us a lot of tools to work with and makes it easier to manipulate mathematical objects like arrays and matrices.
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