Offered By: IBMSkillsNetwork
Pandas or Polars? Which Python library is right for you?
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.Continue reading
Data Science27 Enrolled
At a Glance
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.
- 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.
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Skills You Will Learn
Python, Data Science, Machine Learning, Data Analysis
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!Read more
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.Read more
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.Read more