Python basics -binary , numpy array

 # prompt: give a sample program for learning NumPy

Understanding Bit Manipulation (hashnode.dev)

import numpy as np

# Create a 1D array

arr1 = np.array([1, 2, 3, 4, 5])

print("1D Array:", arr1)

# Create a 2D array

arr2 = np.array([[1, 2, 3], [4, 5, 6]])

print("2D Array:\n", arr2)

# Accessing elements

print("First element of arr1:", arr1[0])

print("Element at row 1, column 2 of arr2:", arr2[1, 2])

# Array shape

print("Shape of arr2:", arr2.shape)

# Array data type

print("Data type of arr1:", arr1.dtype)

# Array operations

arr3 = np.array([10, 20, 30,40,50])

print("Sum of arr1 and arr3:", arr1 + arr3)

print("Product of arr1 and 3:", arr1 * 3)

# Array slicing

print("First two elements of arr1:", arr1[:2])

print("Elements from index 1 to 3 of arr1:", arr1[1:4])

# Reshaping arrays

arr4 = np.arange(12).reshape(4, 3)

print("Reshaped array:\n", arr4)

0s

# prompt: give a sample program for learning NumPy

import numpy as np

# Create a 1D array

arr1 = np.array([1, 2, 3, 4, 5])

print("1D Array:", arr1)

# Create a 2D array

arr2 = np.array([[1, 2, 3], [4, 5, 6]])

print("2D Array:\n", arr2)

# Accessing elements

print("First element of arr1:", arr1[0])

print("Element at row 1, column 2 of arr2:", arr2[1, 2])

# Array shape

print("Shape of arr2:", arr2.shape)

# Array data type

print("Data type of arr1:", arr1.dtype)

# Array operations

arr3 = np.array([10, 20, 30,40,50])

print("Sum of arr1 and arr3:", arr1 + arr3)

print("Product of arr1 and 3:", arr1 * 3)

# Array slicing

print("First two elements of arr1:", arr1[:2])

print("Elements from index 1 to 3 of arr1:", arr1[1:4])

# Reshaping arrays

arr4 = np.arange(12).reshape(4, 3)

print("Reshaped array:\n", arr4)

1D Array: [1 2 3 4 5]
2D Array:
 [[1 2 3]
 [4 5 6]]
First element of arr1: 1
Element at row 1, column 2 of arr2: 6
Shape of arr2: (2, 3)
Data type of arr1: int64
Sum of arr1 and arr3: [11 22 33 44 55]
Product of arr1 and 3: [ 3  6  9 12 15]
First two elements of arr1: [1 2]
Elements from index 1 to 3 of arr1: [2 3 4]
Reshaped array:
 [[ 0  1  2]
 [ 3  4  5]
 [ 6  7  8]
 [ 9 10 11]]