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Showing posts with the label Python IF Condtions

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The Quick and Easy Way to Analyze Numpy Arrays

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The quickest and easiest way to analyze NumPy arrays is by using the numpy.array() method. This method allows you to quickly and easily analyze the values contained in a numpy array. This method can also be used to find the sum, mean, standard deviation, max, min, and other useful analysis of the value contained within a numpy array. Sum You can find the sum of Numpy arrays using the np.sum() function.  For example:  import numpy as np  a = np.array([1,2,3,4,5])  b = np.array([6,7,8,9,10])  result = np.sum([a,b])  print(result)  # Output will be 55 Mean You can find the mean of a Numpy array using the np.mean() function. This function takes in an array as an argument and returns the mean of all the values in the array.  For example, the mean of a Numpy array of [1,2,3,4,5] would be  result = np.mean([1,2,3,4,5])  print(result)  #Output: 3.0 Standard Deviation To find the standard deviation of a Numpy array, you can use the NumPy std() function. This function takes in an array as a par
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How to Check If Statement Multiple Conditions in Python and Ensure Tidy Code

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Here're examples for Python multiple if conditions (statements). These are useful for interviews and projects. Many programmers confuse to write IF logic in Python. Below examples useful for your quick reference. Multiple IF Conditions IF, IF IF 'ELSE' IF 'or' IF 'and' Nested IF IF 'continue' IF 'break' In Python, the decision-making logic you can write with IF condition. You can write multiple IF conditions (Single way decision). At the same time, you can write IF and ELSE conditions (Two-way decision). Multiple IF conditions the best example. def main():         celsius = float(input("What is the Celsius temperature? "))         fahrenheit = 9/5 * celsius + 32         print("The temperature is", fahrenheit, "degrees Fahrenheit.")  # Print warnings for extreme temps         i f fahrenheit > 90:                print("It's really hot out there. Be careful!")         if fahrenheit < 30:        
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