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Polars is a FAST DataFrame library in Python that is gaining a lot of attention recently. This video is the introduction to the polars tutorial series, the next video in the playlist has the tutorial series. I hope you enjoy this series! Please subscribe and like the video to support the channel We will learn about Queries, Lazy Frames, Engines, and use them in real life settings, analyzing and visualizing a free dataset with over 260 million rows (and 40 GB in size!!! way bigger than what programs like Excel or Pandas can process). So not only will we learn how to load, compress and process so much data all at once, but we will also plot it with millions of data nodes on the same graph!! 😱 If you think it might be challenging for Polars - prepare to be surprised!!! because that's exactly where it shines, especially when the new GPU engine is involved! #polars #rust #python #data science #programming #spark #pandas #data #data scientist #data analytics #data analysis #big data #polar #pyspark #python for data science #pandas python #made easy #python programming #data engineering #speed comparison #learn to code #python data science #software development #for beginners #python polars tutorial #polars data science #sql #database #database kya hai #data analyst #data engineer roadmap #data engineer interview #data engineering course