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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...

How to Delete an Item from a Set in Python: Best Example

Set is a built-in data type in Python. Furthermore, it is an unordered collection without duplicate items. Here are the two methods that explain to delete an item from a Set.

Methods to delete an item from a Set

  • discard
  • remove



Discrd Vs. Remove


  • discard() will not raise an error if the item to remove does not exist.
  • The remove() will raise an error if the item does not exist.


Remove items from Set


Explanation to discard and remove methods


Python program:

#Prints all the Set items

food = {"pasta", "burger", "hot dog", "pizza"}

print(food)


# Prints the Set items without pasta

food.discard("pasta")

print(food)


# Prints the Set items without burger and pasta

food.remove("burger")

print(food)


# The next two lines try to remove an item that isn't in the set!

food.discard("pasta")  # this will not report an error

food.remove("pasta")   # this will report an error


The output:

{'pasta', 'burger', 'pizza', 'hot dog'}

{'burger', 'pizza', 'hot dog'}

{'pizza', 'hot dog'}

Traceback (most recent call last):

  File "main.py", line 12, in <module>

    food.remove("pasta")   # this will report an error

KeyError: 'pasta'


** Process exited - Return Code: 1 **

Press Enter to exit terminal


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