Course Content
Getting into NumPy Basics
Basic Statistical Operations
NumPy offers a suite of functions for executing basic statistical operations on NumPy arrays, making it indispensable for data analysis. Key functions include:
mean(): Computes the mean (average) of array elements;median(): Determines the median (middle value) of array elements;std(): Calculates the standard deviation, measuring the spread of the array elements;var(): Assesses the variance, indicating the variability of array elements;min(): Identifies the minimum value within an array;max(): Locates the maximum value within an array;argmin(): Finds the index of the minimum value in an array;argmax(): Discovers the index of the maximum value in an array.
Task
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- Create an array filled with 10 random values.
- Compute the mean of the array.
- Determine the median of the array.
- Calculate the standard deviation of the array.
- Assess the variance of the array.
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NumPy offers a suite of functions for executing basic statistical operations on NumPy arrays, making it indispensable for data analysis. Key functions include:
mean(): Computes the mean (average) of array elements;median(): Determines the median (middle value) of array elements;std(): Calculates the standard deviation, measuring the spread of the array elements;var(): Assesses the variance, indicating the variability of array elements;min(): Identifies the minimum value within an array;max(): Locates the maximum value within an array;argmin(): Finds the index of the minimum value in an array;argmax(): Discovers the index of the maximum value in an array.
Task
Swipe to show code editor
- Create an array filled with 10 random values.
- Compute the mean of the array.
- Determine the median of the array.
- Calculate the standard deviation of the array.
- Assess the variance of the array.
Mark tasks as Completed
Switch to desktop for real-world practiceContinue from where you are using one of the options belowSection 1. Chapter 4
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