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Pandas or Polars? Which Python library is right for you?

BeginnerGuided Project

Data scientists require DataFrame libraries for their projects that are efficient, flexible, compatible with various data formats, and easy to use. In this project, we compare the performance of two popular Pandas and Polars in Python.

4.7 (12 Reviews)

Language

  • English

Topic

  • Data Science

Industries

  • Information Technology

Enrollment Count

  • 75

Skills You Will Learn

  • Data Analysis, Machine Learning, Python, Data Science

Offered By

  • IBMSkillsNetwork

Platform

  • SkillsNetwork

Last Update

  • April 26, 2024
About This Guided Project
In this project, we will examine the strengths and limitations of Pandas and Polars, as well as the scenarios in which they are most useful.


The project will provide insights into the different use cases for each library and highlight their strengths and weaknesses. Ultimately, this project will help data scientists, engineers, and analysts determine which library is the best fit for their specific data visualization and analysis needs.

A Look at the Project Ahead


In this project,  we will do the following content to compare Polars and Panda:
  • Provide an overview of the basic functions of Pandas and Polars
  • Demonstrate how they can be used to visualize and analyze different types of data
  • Compare the features and performance of Polars and Pandas when working with large datasets
  • Explore how they can be combined to effectively preprocess and visualize data.
If you are looking to conduct a real project in Jupyter notebook or continue to improve your skills in data science, give the IBM Skill Network Labs a try at no charge!

You can try to manage your own data in Watson Studio! With Watson Studio, you can easily collect, clean, and analyze your data to make informed decisions. Whether you're a data scientist or a business analyst, Watson Studio provides an intuitive and collaborative environment to streamline your workflow and accelerate your projects.



What You'll Need


This is a very simple project, beginners are welcome. We are using Python code in the Jupyter notebook in this project.
Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save you the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.

Instructors

J.C.(Junxing) Chen

Data scientist at IBM

Data science is easy and helpful! I want to let everyone know data science and help everyone using it for everyday life! Not only being a Data science guide person but also making friends, I want to make friends with peoples like you! As a data scienist, I hope my spread data science could help my friend!

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Joseph Santarcangelo

Senior Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

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Sina Nazeri

Data Scientist at IBM

I am grateful to have had the opportunity to work as a Research Associate, Ph.D., and IBM Data Scientist. Through my work, I have gained experience in unraveling complex data structures to extract insights and provide valuable guidance.

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