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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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Cloud Computing Vs Virtualization Real Differences

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Servicing of computing resources you can say as Cloud computing. They charge for some amount each service used by an user. On the other hand, making multiple machines virtually by using same hardware is called virtualization. Sell all the real differences.

Public Vs Private Vs Hybrid Cloud

  1. Public Cloud: Available to the public is called the PUBLIC cloud. 
  2. Private Cloud: Available to the particular Business/Company is called PRIVATE Cloud. 
  3. Hybrid Cloud: Combination of Public and Private Clouds.
Cloud services
Cloud Services

Cloud Services

  • Cloud services (remote data and computation) are exposed as simple and user-friendly web services. For example, Microsoft's ADO.NET (originally called Astoria) provides the tools to expose any data object from a collection, stored in a database or other form, as a URI to an encoded form using a standard such as JSON or ATOM representation
  • Google's AppEngine provides a way to deploy a remote Python script that becomes a web service that can access data in their BigTable database system.
  • To deliver highly available and flexible services (i.e., computation as a service), and owing to the maturity of virtualization technology, Virtual Machines (VMs) are used as a standard for object deployment in the cloud.

Virtual Machines

  • VMs decouple the computing infrastructure from the physical infrastructure. VMs allow the customization of the platform to suit the needs of the end-user. 
  • For example, in the Amazon Elastic Compute Cloud (EC2), the customer selects his/her preferred VM image (virtual appliance) from a list of various versions of Linux and Windows servers

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