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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

The Real Use of Git in DevOps Environment

Why you need Git? Here's well explained with differences among Git, GitFlow and GitHub.

Git is a tool

Git in devops

It is created by Linus Torvalds, the creator of the Linux system. The tool was created to help Linux developers control the development flow among many developers around the world. It helps to solve conflicts, track the modifications, or even revert the configurations that were working before and stopped working in a new version.

To install Git, you can access the following link: https://git-scm.com/download/win

The installation process is the same as we did for all Windows applications; it is just Next, Next, and Finish.

After the installation, you will find a new program called Git Bash, which allows you to create your local repos and use the Git commands to create versions of your application.


Now, when we start working on a project, we have the code files that are already in production, and we cannot work in the main branch, because of the CI/CD pipelines. We need to generate a new version of our software with the complete code.

Let's commit the first version of the code, which will be shared among all the developers working on the same project: PS

C:\Users\1511 MXTI\Chapter09> git add --all PS C:\Users\1511 MXTI\Chapter09> git commit -m "uploading the scaffold of the project" [master (root-commit) f6284bf] uploading the scaffold of the project 1 file changed, 3 insertions(+) create mode 100644 code.txt

If we run the git status again, nothing is untraced or pending to commit: PS C:\Users\1511 MXTI\Chapter09> git status On branch master nothing to commit, working tree clean

To check the branches you have, run the following command: PS C:\Users\1511 MXTI\Chapter09> git branch * master.


The commands ran in the local machine and in a local environment. It was just the basic steps, but I am pretty sure that with these commands you will be able to do 80% of your work every day. If you cannot, there are many tools to help you with the Git commands, like git Kraken, or you can even use plugins for Visual Studio Code.

We need to have in mind that as bigger as your team is, you will have more conflicts and more changes happening at the same time.

To share our code, we can use many tools, like GitLab, GitHub, Bitbucket. There are dozens of services to help you with it. Let's use GitHub because it is the most famous. But, for some of my personal projects, I use Bitbucket, because we can have unlimited private repos.

You can create your own GitHub account for free on their website:



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