Numpy is among the most prevalent science computer science bundles in Python, and the following are the discussion on the use of transpose function:
- Transpose() is among the most important <em>matrix multiplication functions</em>.
- It is used to changes elements of the <em><u>row into column</u></em> elements and the elements of the <em><u>column into rows</u></em> elements.
- The output of this function is an original modified array.
Therefore, the transpose function in NumPy is being used to <em><u>switch positions of rows to columns or columns to rows</u></em>.
Learn more:
brainly.com/question/24763535
Answer:We start each project to get some business benefits. We design it to achieve users and other stakeholder’s satisfaction. And we build it to improve organization KPIs. But, we live in a world where the project faces many uncertainties. These uncertainties or risks can prevent from achieving our project goals or objectives. So, it is critical that we identify them in time to take care of their effective responses.
The more we know our risks, the more we can evaluate and prioritize them timely for:
Reducing their probable negative impacts, or
Increase their likely positive impacts
We can use Qualitative Risk Analysis and Quantitative Risk Analysis techniques to evaluate and prioritize risks. I see there are a lot of confusions around how these two techniques are different from each other. In this blog, I will address these confusions and differences between these two techniques.
Before we get into the difference between qualitative and quantitative risk analysis/assessment, it is mandatory to understand how we perform risk analysis in projects. Below is the summarized demonstration of the risk analysis:
Explanation:
the opening tag for an HTML document
You would have a total of 2.5 GB of capacity.
A gigabyte consists of 1000 megabytes, so 500 megabytes make half of a gigabyte, or 0.5 gigabytes.
So 2GB + 0.5GB = 2.5GB
