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The Quick and Easy Way to Analyze Numpy Arrays

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

Python Function Argument: How to Pass it to Decorator

A decorator is a wrapper and provides additional functionality to a function. Also, it may modify the behavior, such as changing the return type/adding new abilities. Python Decorators Precisely, it is another form of function pointers . Also, it accepts function argument, then either wraps the function or returns a new one. Moreover, it modifies the inputs/outputs supplied to it. It helps you add behavior to functions (objects) dynamically (without changing the function behavior). Function Argument Below, you will find an example of passing a function argument to a decorator. The below function modifies inputs and returns output. def to_upper(func):     text=func()     if isinstance(text,str):         return text.upper() def say():     return "welcome" def hello():     return "hello"      a = to_upper(say) print(a)  b = to_upper(hello) print(b)   Output WELCOME HELLO ** Process exited - Return Code: 0 ** Press Enter to exit terminal References How to write th

Python: How to Write Logic to Print Triangle

Here's an example to print Triangle in Python. It's the best interview question. You can expect this type of question in your interview. So this is useful to practice it. How to Print Triangle Logic to Print Trianagle max = 8 for x in range(1, max + 1): for y in range(1, x + 1): print y, print Result 1 1 2 1 2 3 1 2 3 4 1 2 3 4 5 1 2 3 4 5 6 1 2 3 4 5 6 7 1 2 3 4 5 6 7 8   Also, Read Python while loop Python for loop example

Python Advanced For Loop With Example

Basically, For Loop reads input value and stores in a variable. So For Loop in Python needs two arguments. The two arguments are VARIABLE and IN. So far so good. The next part of the article and examples well explained how it works and how to get the index for each input supplied.