Using Polars For Data Analytics

Most Data Scientists/Analysts using Python are familiar with Pandas. And if you are in the data science field, you probably have invested quite a significant amount of time learning how to use them to manipulate your data. However, one of the main complaints about Pandas is its speed and inefficiencies when dealing with large datasets. Fortunately, there is a new dataframe library that attempts to address this main complaint about Pandas — Polars.

  • Nov 17
    Minneapolis Convention Center
    2 days
    16:00 - 23:00 UTC
    Wei-Meng Lee
    1 000 USD

Polars is a DataFrame library that is completely written in Rust. In this article, I will walk you through the ins and outs of using Polars in Python and how it can be used in place of Pandas.


Topics

  • Comparing Pandas and Polars
  • Loading a Polars DataFrame
  • Selecting columns and rows
  • Lazy Evaluation in Polars
  • Manipulating values in dataframe
  • Data cleansing
  • Performing GroupBy functions

Who should attend?

If you are a Python developer and aspire to venture into the world of data analytics, this is the workshop to arm yourself with the latest skillset!

Wei-Meng Lee
Developer Learning Solutions

Wei-Meng Lee is a technologist and founder of Developer Learning Solutions (http://www.learn2develop.net), a technology company specializing in hands-on training on the latest mobile technologies. Wei-Meng has many years of training experiences and his training courses place special emphasis on the learning-by-doing approach. His hands-on approach to learning programming makes understanding the subject much easier than reading books, tutorials, and documentations. His name regularly appears in online and print publications such as DevX.com, MobiForge.com, and CoDe Magazine.

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