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The Quick and Easy Way to Analyze Numpy Arrays

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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

Tutorial: SAP HANA Basics for Beginners

What is SAP HANA?

HANA stands for High-Performance Analytic Appliance. SAP HANA is a combination of hardware and software, and is therefore an appliance.

SAP HANA supports column- and row-level storage. We can store and perform analytics on a huge amount of real-time, non-aggregated transactional data. Hence, HANA acts as both a database and a warehousing tool, which helps in making decisions at the right time.

Challenges in Traditional RDBMS?

There are a few challenges in traditional databases, such as latency, the cost involved, and complexity in accessing databases.

Related: SAP HANA jobs and career options

What is Architecture of traditional RDBMS?

Presentation Layer:

This is the top-most layer and allows users to manipulate data so that they can input it for querying.

This data input from users is passed on to the database layer through the application layer and the results are passed back to the application layer to implement business logics.

The presentation layer can be anything—the web browser, SAP GUI, SAP BEx, SAP Business Objects, and so on. These tools will be installed on individual client machines.

Application Layer:

This layer is also called the business layer. All the business logic will be executed in this layer. It controls the application's functionality by performing detailed processing. This can be installed on one machine or distributed across more than one system.

Database Layer:

This layer receives data from the business layer and performs the required operation from the database. It contains database servers that store the data. Data is stored independently of application layers or business logics.

The database layer remains as an internal interface and is not exposed to the end users. The application layer has to access the data in the database only through this layer.

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