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Mastering flat_map in Python with List Comprehension

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Introduction In Python, when working with nested lists or iterables, one common challenge is flattening them into a single list while applying transformations. Many programming languages provide a built-in flatMap function, but Python does not have an explicit flat_map method. However, Python’s powerful list comprehensions offer an elegant way to achieve the same functionality. This article examines implementation behavior using Python’s list comprehensions and other methods. What is flat_map ? Functional programming  flatMap is a combination of map and flatten . It transforms the collection's element and flattens the resulting nested structure into a single sequence. For example, given a list of lists, flat_map applies a function to each sublist and returns a single flattened list. Example in a Functional Programming Language: List(List(1, 2), List(3, 4)).flatMap(x => x.map(_ * 2)) // Output: List(2, 4, 6, 8) Implementing flat_map in Python Using List Comprehension Python’...
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AWS Certified Developer: Eligibility Criteria

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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.
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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

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Comments

  1. infosavvy0July 29, 2020 at 5:20 PM

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

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