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How to Read a CSV File from Amazon S3 Using Python (With Headers and Rows Displayed)

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  Introduction If you’re working with cloud data, especially on AWS, chances are you’ll encounter data stored in CSV files inside an Amazon S3 bucket . Whether you're building a data pipeline or a quick analysis tool, reading data directly from S3 in Python is a fast, reliable, and scalable way to get started. In this blog post, we’ll walk through: Setting up access to S3 Reading a CSV file using Python and Boto3 Displaying headers and rows Tips to handle larger datasets Let’s jump in! What You’ll Need An AWS account An S3 bucket with a CSV file uploaded AWS credentials (access key and secret key) Python 3.x installed boto3 and pandas libraries installed (you can install them via pip) pip install boto3 pandas Step-by-Step: Read CSV from S3 Let’s say your S3 bucket is named my-data-bucket , and your CSV file is sample-data/employees.csv . ✅ Step 1: Import Required Libraries import boto3 import pandas as pd from io import StringIO boto3 is...

Tail Command in Linux: A Comprehensive Overview

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The tail in Linux is handy command. You can check the last lines of a file in Linux/Unix operating systems. You can use it to display last lines from single file, display last lines from multiple files, display the last entries of log files. Tail Command in Linux During production support the usage of Tail command is helpful since you can check latest logs quickly. Here are the top Tail command examples. #1 Display last lines in a file (Tail file Linux) Here's the tail command that shows last three lines of a file. cat sample.txt | tail -3 It displays last 3 lines of a file. The same command you can use as tail -3 sample.txt #2 Display last lines of multiple files There are three files. sample2.txt, sample3.txt, sample4.txt. The command displays the last 3 lines from all the three files. tail -3 sample[2-4].txt #3 Tail -f option (Tail f Linux) The –f option is to check status of long-running process that is redirecting output to a file. For example, if you invoke the below command...