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4 Layers of AWS Architecture a Quick Answer

I have collected real interview questions on AWS key architecture components. Those are S3, EC2, SQS, and SimpleDB. AWS is one of the most popular skills in the area of Cloud computing. Many companies are recruiting software developers to work on cloud computing.

AWS Key Architecture Components AWS is the top cloud platform. The knowledge of this helpful to learn other cloud platforms. Below are the questions asked in interviews recently.
What are the components involved in AWS?Amazon S3.With this, one can retrieve the key information which is occupied in creating cloud structural design, and the amount of produced information also can be stored in this component that is the consequence of the key specified.Amazon EC2. Helpful to run a large distributed system on the Hadoop cluster. Automatic parallelization and job scheduling can be achieved by this component.Amazon SQS. This component acts as a mediator between different controllers. Also worn for cushioning requirements those are obt…

How to use Pandas Series Method top ideas

I am sharing the ideas on how to use a series constructor on a dataset using Python pandas.

A series is an object of Pandas that represents a one-dimensional labeled array capable of holding any data type (integers, strings, floating-point numbers, Python objects, etc.).

Example of Dataframe data

Dataframe data

Example of Single Dimension Data

A single dimension data you can derive as (index, value):

 Index Value
 1 10           
 2 40
 3 01
 4 99

So, in the above "Dataframe" when you pull out the data of a single column with its index, you can say it as one-dimensional data.

When one index has multiple values in brackets, you can say it as a multi-dimensional array. The example is (1, (10,20))
mySeries = pd.Series(data, index=index)
Here, pd is a Pandas object, and data refers to a Python dictionary of "ndarray" or even a scalar value.

A Series is a single column of data from a DataFrame. It is a single dimension of data, composed of just an index and the data.

How to get Values and Index using Series Method in Python Pandas

In the first example, I show how to construct single dimension data and how to get index and values from the series data.

>>>mySeries = pd.Series([10,20,30], index=[1,2, 'a'])

In the above example, in the index, I have given 'a'. So for alpha index types, you need to give in quotes.

The result from the above code is you got both values and index.

series data 


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