12 docs tagged with "NumPy"

Learn how to summarize data in NumPy arrays using built-in aggregation functions like sum, mean, and standard deviation.

Learn how to perform element-wise arithmetic with arrays and understand how broadcasting works in NumPy.

Learn how to change the shape of a NumPy array using reshape and flatten.

Learn how NumPy arrays are structured using shape and axes, and how broadcasting works with those dimensions.

Learn how to use boolean conditions to filter or select values from NumPy arrays.

Learn how to create one-dimensional and two-dimensional arrays using NumPy.

Learn how to change the data type of a NumPy array and how to properly copy arrays.

Learn how to create NumPy arrays using arange, linspace, zeros, and ones.

Learn how to access, slice, and modify values in 1D and 2D NumPy arrays.

Learn how SciPy builds on NumPy by exploring a practical example using both libraries.

Understand what NumPy is, why it's useful for data analysis, and what makes it different from Python lists.

Learn how to understand and navigate higher-dimensional arrays in NumPy.