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Getting into NumPy Basics

Basic Statistical OperationsBasic 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

  1. Create an array filled with 10 random values.
  2. Compute the mean of the array.
  3. Determine the median of the array.
  4. Calculate the standard deviation of the array.
  5. Assess the variance of the array.

Mark tasks as Completed

Everything was clear?

Section 1. Chapter 4
AVAILABLE TO ULTIMATE ONLY
course content

Course Content

Getting into NumPy Basics

Basic Statistical OperationsBasic 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

  1. Create an array filled with 10 random values.
  2. Compute the mean of the array.
  3. Determine the median of the array.
  4. Calculate the standard deviation of the array.
  5. Assess the variance of the array.

Mark tasks as Completed

Everything was clear?

Section 1. Chapter 4
AVAILABLE TO ULTIMATE ONLY
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