Скачать или смотреть Read CSV from S3 with Python (No Pandas) | AWS Lambda Tutorial

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In this lesson, we implement a custom Python function to read CSV files directly from Amazon S3 — without using Pandas! This step is crucial when working with AWS Lambda, where package size limitations prevent using heavier libraries. You'll learn how to extract bucket names and file keys from S3 URLs, initialize the boto3 S3 client, fetch objects, decode file contents, and read CSVs using Python's built-in libraries.

This hands-on tutorial is ideal for AWS beginners or anyone looking to understand data access pipelines in serverless environments. It’s coding from scratch, step-by-step!

✅ Extract bucket names and file keys from an S3 URL
✅ Initialize a boto3 S3 client in Lambda
✅ Fetch and decode CSV objects stored in S3
✅ Use StringIO and the CSV module to parse data
✅ Return headers and data without Pandas

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⏱️ Chapters:

00:00 – Welcome & Function Overview
00:13 – Function Definition: read_csv_from_s3
00:41 – Extract Bucket Name from S3 URL
01:18 – Get File Key Dynamically
02:55 – Initialize S3 Client with boto3
03:42 – Fetch CSV Object from S3
04:30 – Read and Decode File Content
05:10 – Parse CSV with csv.reader and StringIO
06:00 – Extract Headers and Data Rows
07:00 – Return Final Output

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#AWSLambda #PythonS3 #Serverless #CSVParsing #boto3 #CloudComputing #DataEngineering #NoPandas #PythonTutorial #AWSDeveloper