Fastest Python Data Science Library? Pandas vs Polars vs PySpark Speed Test!

Which Python data science library is the fastest? In this speed test, we compare Pandas, Polars, and PySpark to see which framework dominates in data analytics performance. If you're working with large datasets and need the best tool for the job, this benchmark will help you decide! Thanks for watching my video. I share new Data Science videos weekly, you can subscribe for more videos like this.

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Some other videos I published:

Python Data Science Bootcamp (7+ Hours):    • Python Data Science Bootcamp: Zero Experie...  

Python PySpark Big Data Analytics Course:    • PySpark Course: Big Data Handling with Pyt...  

Python Polars Big Data Analytics Course:    • Master Python Polars for Efficient Big Dat...  

Python Plotly Data Visualization Course:    • Master Python Plotly in 1.5 Hours: From Ba...  

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Python Data Science Project:    • Motorbike Price Prediction Using Python Da...  

MySQL Course:    • Complete MySQL Crash Course in 40 Minutes ...  

Chapters:

00:00 Introduction
00:33 Coding Part Introduction
01:25 Data Creation
04:56 Comparison with 10,000 Row Data
20:59 Comparison with 1,000,000 Row Data
22:42 Conclusion and Findings
23:55 Outro



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