Showing posts with the label PhoneGap

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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

PhoneGap platform top details you need to develop mobile apps: part-1

There are many smartphone platforms on the market: Android, iPhone, BlackBerry, Nokia, the Windows 7 Phone, and WebOS. Newer platforms are on the rise as well, such as Samsung's Bada and Meego. Why PhoneGap You Need The development of mobile applications increasing day by day, so you need one solution. That is single platform. History of Operating system In the year 2000, we saw a similar situation in the desktop world. We had Microsoft Windows, Apple's Mac, and various versions of Linux and UNIX.  At that time, it was difficult to build products that would run on all these platforms. The resulting fragmentation was often solved via in-house solutions by building frameworks in C++, with Operating System (OS)-specific modules abstracted. Fortunately, Sun's Java came to the rescue and provided us with a common platform on which to build. With Java's build-once-and-run-anywhere strategy, building desktop products had become a breeze. Between 2004 and 2008,