3 Fast Ways to Read CSV Files in Python 🚀
Learn three efficient methods to read CSV files in Python using Pandas, CSV module, and Dask for better data handling.
PythonSourceCodeORG
3.0K views • Nov 9, 2024
About this video
Unlock the top 3 efficient methods to read and process CSV files in Python! Whether you're a beginner or looking to optimize your data workflows, this quick guide covers:
1. Pandas' read_csv() – Fast and easy for data analysis.
2. Python's built-in csv module – Lightweight and perfect for simple tasks.
3. Dask – Handle large CSV files with parallel processing.
💡 Sample CSV Used:
Name,Age,Occupation
Alice,30,Engineer
Bob,25,Designer
Charlie,35,Doctor
David,28,Artist
Eve,32,Scientist
#Python #CSV #Pandas #Dask #PythonTutorial #DataProcessing #Coding #Programming #PythonTips #LearnPython
1. Pandas' read_csv() – Fast and easy for data analysis.
2. Python's built-in csv module – Lightweight and perfect for simple tasks.
3. Dask – Handle large CSV files with parallel processing.
💡 Sample CSV Used:
Name,Age,Occupation
Alice,30,Engineer
Bob,25,Designer
Charlie,35,Doctor
David,28,Artist
Eve,32,Scientist
#Python #CSV #Pandas #Dask #PythonTutorial #DataProcessing #Coding #Programming #PythonTips #LearnPython
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Video Information
Views
3.0K
Likes
68
Duration
0:41
Published
Nov 9, 2024
User Reviews
4.5
(3)