### 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

# AWS Certified Developer: Eligibility Criteria

The below is complete eligibility criteria is as follows- One or more years of hands-on experience designing and maintaining an AWS-based application.

In-depth knowledge of at least one high-level programming language. Understanding of core AWS services, uses, and basic architecture best practices.

...
Proficiency in designing, developing, and deploying cloud-based solutions using AWS.

Experience with developing and maintaining applications written for Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.

Related: AWS Basics for Software Engineer

## The requirement for Developer Exam

• Professional experience using AWS technology
• Hands-on experience programming with AWS APIs
• Understanding of AWS Security best practices
• Understanding of automation and AWS deployment tools
• Understanding storage options and their underlying consistency models
• Excellent understanding of at least one
• Understanding of stateless and loosely coupled distributed applications
• Familiarity developing with RESTful API interfaces
• Basic understanding of relational and non-relational databases
• Familiarity with messaging & queuing services These training courses or other equivalent methodologies will assist in exam preparation:
• Developing on AWS (aws.amazon.com/training/developing)
• In-depth knowledge or training in at least one high-level programming language

Related:

1. Nice post! It is really very helpful for us. If anyone want to know the details about AWS