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AI-and-Analytics/Getting-Started-Samples/Modin_Vs_Pandas/README.md

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# Modin Vs. Pandas Performance Sample
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# Modin* Vs. Pandas Performance Sample
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The `Modin Vs. Pandas Performance` code illustrates how to use Modin* to replace the Pandas API. The sample compares the performance of Modin and the performance of Pandas for specific dataframe operations.
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The `Modin* Vs. Pandas Performance` code illustrates how to use Modin* to replace the Pandas API. The sample compares the performance of Modin* and the performance of Pandas for specific dataframe operations.
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| Area | Description
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|:--- |:---
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| Category | Concepts and Functionality
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| What you will learn | How to accelerate the Pandas API using Modin.
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| What you will learn | How to accelerate the Pandas API using Modin*.
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| Time to complete | Less than 10 minutes
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## Purpose
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|:--- |:---
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| OS | Ubuntu* 20.04 (or newer)
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| Hardware | Intel® Core™ Gen10 Processor <br> Intel® Xeon® Scalable Performance processors
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| Software | Intel® Distribution of Modin*
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| Software | Modin*
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## Key Implementation Details
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This code sample is implemented for CPU using Python programming language. The sample requires NumPy, Pandas, Modin libraries, and the time module in Python.
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This code sample is implemented for CPU using Python programming language. The sample requires NumPy, Pandas, Modin* libraries, and the time module in Python.
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## Environment Setup
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If you want to run the sample on a local system using a command-line interface (CLI), you must install the Modin in a new Conda* environment first.
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### Install Modin
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### Install Modin*
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1. Create a Conda environment.
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```
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ipython Modin_Vs_Pandas.ipynb
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```
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## Run the `Modin Vs Pandas Performance` Sample in Google Colaboratory
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## Run the `Modin* Vs Pandas Performance` Sample in Google Colaboratory
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1. Change to the directory containing the `Modin_Vs_Pandas.ipynb` notebook file on your local system.
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