Posts

Showing posts with the label weekend

Featured Post

The Quick and Easy Way to Analyze Numpy Arrays

Image
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

3 Best Ways to Learn AWS on Weekends

Image
Amazon web services are one of the popular skills. So, many developers started adding this skill to their list. Due to digital transformation, companies started giving more weightage to the developers who have AWS skills. How to Learn AWS I want to share in this post how to learn AWS quickly.  The idea is to use your weekends to learn AWS.  My learning plan to allocate 5 hours a week. You can take out 2 hours  Saturday and 3 hours Sunday time for this learning. 3 Best Ways to Learn AWS on Weekends  As I said in my previous post   basic interview questions on Amazon web services really a quick start. 3 Best Ways to Learn AWS During Weekends. What is next how to start learning and be industry-ready. You need to have a good  laptop to begin your learning. If it is Ubuntu pre-installed one, really this is good for your study and practices... What materials online you need to refer to. This is basically a question for the developer. Just begin with AWS manuals published