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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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How to Unpack a List into Variables Quickly in Python

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Here are two examples to unpack a list in Python. You can do it easily by using splat operator. The asterisk in python is called a Splat operator. Here are two splat operators - Single and Double. Below, you will find examples. 1. Single splat operator Consider, for example, this code: abc = [1,2,3,4] print(abc)  Here the output will be: [1, 2, 3, 4] What if you didn't want the list output in list format? What if all you wanted was the list of values to be written to the output console? You could write them using a loop and one of the output functions, but Python prefers an easier way: print(*abc) 1 2 3 4 2. Double splat operator Here, I have written a function: def func(x,y,z):        return x + y + z print(func(**d)) It will show '6' as output. Since, I have assigned values for x,y, and z in a dictionary. So by using a double splat operator you assign values to the function. d = {  'x': 1,  'y': 2,  'z': 3  } Related posts 3 Advanced m...
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