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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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Daily use AWS File Commands

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The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services. With just one tool to download and configure, you can control multiple AWS services from the command line and automate them through scripts.

The AWS CLI introduces a new set of simple file commands for efficient file transfers to and from Amazon S3.
Daily use AWS file commands
Daily use AWS file commands

$ aws ec2 describe-instances
…

$ aws ec2 start-instances --instance-ids i-1348636c
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 $ aws sns publish --topic-arn arn:aws:sns:us-east-1:546419318123:OperationsError --message "Script Failure"
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$ aws sqs receive-message --queue-url https://queue.amazonaws.com/546419318123/Test
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 $ aws help

$ aws autoscaling help

$ aws autoscaling create-auto-scaling-group help

$ aws s3 ls s3://mybucket

        LastWriteTime            Length Name

        ------------             ------ ----

                                            PRE myfolder/

2013-09-03 10:00:00           1234 myfile.txt

…

 Sync command:
$ aws s3 sync myfolder s3://mybucket/myfolder --exclude *.tmp
upload: myfolder/newfile.txt to s3://mybucket/myfolder/newfile.txt
…

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