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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...
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Here is Sample Logic to get Random numbers in Bash

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Here's a bash script to generate a random number. You can use this logic to generate a random number, and it is useful for AWS engineers. Random number Script - Here's sample logic to get a random number RANDOM=$$ # Set the seed to the PID of the script UPPER_LIMIT=$1 RANDOM_NUMBER=$(($RANDOM % $UPPER_LIMIT + 1)) echo "$RANDOM_NUMBER" If you select UPPER_LIMIT as 100, then the result would be a pseudo-random number between 1 and 100. Her is the output after executing the script Related posts Structured Vs. Un-structured data
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