Showing posts with the label top application areas

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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

How to Categorise Python Top Uses

Python language is popular in many areas. Below are the real uses of Python. Surely, many developers confuse to tell all the applications. So I have listed for quick reference. 8 Python Real Application Uses #1. Python Application use -  Python Scripts  Very much popular in scripting. You can write scripts in many areas. Like Interfaces, to access files, to access database, and to access the application programs. #2. Python Application use -  Python in Web Development  You can use Python in Web development. There are powerful Python frameworks present such as Django, Flask, Web2Py, and Pyramid. You can develop an application in IoS/Android/Windows. #3. Python Application use -  Graphical User Interface You can develop applications, which need access to GUI. The libraries and APIs like Tkinter, PyQt, PyGTK, and wxPython allow developers to develop GUI-based apps with simple or complex interfaces.  #4. Python Application use -  System Programming You can use it in System Programming. Li