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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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5 AWS Tricky Interview Questions

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Below are the top tricky questions asked in AWS interviews


5 Tricky Questions on Amazon Web services for IT developers.


1) How do you store objects in Reduced Redundancy Storage in S3?

  • Specify REDUCED_REDUNDANCY tags in the HTML code.
  • Specify REDUCED_MIRRORING on a PUT request using an optional header.
  • Specify LOW_REPLICATION on a PUT request using an optional header.
  • Specify LOW_REPLICATION on a GET request for objects.
  • Specify REDUCED_REDUNDANCY on a PUT request using an optional header.


2) Which is required to log on to the AWS management console on a mobile device?


  • SSO alias
  • SiteMinder
  • Gateway address
  • IAM token
  • AWS account


3) How do you receive notifications based on the value of a metric being above or below a stated threshold in Amazon CloudWatch?


  • Set Amazon SmartAlert.
  • Log on through the Amazon console.
  • Create an Amazon CloudWatch threshold dashboard.
  • Create an Amazon CloudWatch alarm.
  • Create a DescribeAlarmHistory API.


4) Scenario-You are testing Oracle, SQL Server, and Mongo DB databases in your AWS account to determine which database to use for your application. Question-Based on the scenario above, how do you decrease the processing time of testing these databases?

  • Transfer the installed files and folders for each database from your local computer to S3.
  • Set up Database as a Service (DaaS) from these vendors.
  • Download DB software directly to Amazon from the vendor site.
  • Configure the File Transfer Protocol (FTP) for the database software from your local computer to S3.
  • Select vendor-provided database AMIs.


5) How do you verify your Amazon CloudSearch application is ready for release to end-users?

  • Look for error logs in the Amazon CloudSearch diagnostics sections.
  • Set up a search engine task using the IP address of the CloudSearch server.
  • Look at the keywords from the indexes in Amazon CloudSearch to ensure readiness.
  • Test sample queries using the search tester in the Amazon CloudSearch console.
  • Create APIs to test the output from Amazon CloudSearch.
  • Answers Click here

Comments

  1. LOGICMOJOJanuary 26, 2021 at 7:55 PM

    Thanks for this amazing post Amazon Interview questions keep changing, but the objective of testing candidate's problem solving ability is constant.

    ReplyDelete

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