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Step-by-Step Guide to Reading Different Files in Python

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 In the world of data science, automation, and general programming, working with files is unavoidable. Whether you’re dealing with CSV reports, JSON APIs, Excel sheets, or text logs, Python provides rich and easy-to-use libraries for reading different file formats. In this guide, we’ll explore how to read different files in Python , with code examples and best practices. 1. Reading Text Files ( .txt ) Text files are the simplest form of files. Python’s built-in open() function handles them effortlessly. Example: # Open and read a text file with open ( "sample.txt" , "r" ) as file: content = file.read() print (content) Explanation: "r" mode means read . with open() automatically closes the file when done. Best Practice: Always use with to handle files to avoid memory leaks. 2. Reading CSV Files ( .csv ) CSV files are widely used for storing tabular data. Python has a built-in csv module and a powerful pandas library. Using cs...
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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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