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Udemy Mastering Polars Fast Data Processing and Big Data Anal

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Downloads: 708
Type: Tutorials
Language: English
Category: Other
Size: 552.1 MB
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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1 -Introduction.mp4 23.5 MB
  3. 1 -Here is the link to access the dataset on GitHub, used in the project.url 102 bytes
  4. 1 -Introduction to Polars Why It’s Faster and How It Differs from Pandas.mp4 48.4 MB
  5. 1 -The second CSV file used in the project is downloaded from Kaggle.url 84 bytes
  6. 2 -Polars Installation, DataFrame Loading, and Efficient Column Access.mp4 49.3 MB
  7. 3 -Mastering Polars DataFrames Slicing, Stats, and Data Exploration.mp4 66.5 MB
  8. 4 -Data Manipulation in Polars Arithmetic Operations, Column Management, Filtering.mp4 52.4 MB
  9. 5 -Polars DataFrame Methods Flags, Schema, Column Operations, and Conversion.mp4 63.8 MB
  10. 6 -Advanced Data Manipulation Grouping, Aggregation, Sorting, and Transformation.mp4 41.0 MB
  11. 7 -Advanced Polars Operations write_csv, Pivot Tables, and Join Strategies.mp4 55.2 MB
  12. 8 -Eager vs Lazy Execution in Polars Speed Comparison with Pandas.mp4 121.8 MB
  13. 9 -Data Visualization in Polars. Benefits, Limitations, and Comparison.mp4 30.2 MB
  14. Bonus Resources.txt 70 bytes

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