Udemy - Mastering Polars - Fast Data Processing and Big Data Analysis

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size552.1 MB
  • Uploaded Byfreecoursewb
  • Downloads17
  • Last checkedApr. 04th '25
  • Date uploadedApr. 04th '25
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Mastering Polars: Fast Data Processing & Big Data Analysis

https://WebToolTip.com

Published 3/2025
Created by Olga Piliaieva
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 10 Lectures ( 1h 15m ) | Size: 552 MB

Master Polars for Fast Data Manipulation: Work with Large Datasets, Lazy Execution, Performance Optimization, and More

What you'll learn
Master Data Manipulation – Learn to filter, group, and transform data efficiently using Polars' powerful functions.
Optimize Performance – Use lazy evaluation and parallel execution to handle large datasets faster.
Compare Polars and Pandas – Understand key differences to choose the best tool for your data tasks.
Process Large Files in Chunks – Load, process, and aggregate large datasets efficiently without running out of memory.

Requirements
A computer with Python installed.
Jupyter Notebook for running and testing code.
Polars and Pandas libraries must be installed.
Basic familiarity with Python is helpful but not required - beginners are welcome!

Files:

[ WebToolTip.com ] Udemy - Mastering Polars - Fast Data Processing and Big Data Analysis
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 -Introduction.mp4 (23.5 MB)
    2 - Getting Started with Polars
    • 1 -Here is the link to access the dataset on GitHub, used in the project.url (0.1 KB)
    • 1 -Introduction to Polars Why It’s Faster and How It Differs from Pandas.mp4 (48.4 MB)
    • 1 -The second CSV file used in the project is downloaded from Kaggle.url (0.1 KB)
    • 2 -Polars Installation, DataFrame Loading, and Efficient Column Access.mp4 (49.3 MB)
    • 3 -Mastering Polars DataFrames Slicing, Stats, and Data Exploration.mp4 (66.5 MB)
    • 4 -Data Manipulation in Polars Arithmetic Operations, Column Management, Filtering.mp4 (52.4 MB)
    • 5 -Polars DataFrame Methods Flags, Schema, Column Operations, and Conversion.mp4 (63.8 MB)
    • 6 -Advanced Data Manipulation Grouping, Aggregation, Sorting, and Transformation.mp4 (41.0 MB)
    • 7 -Advanced Polars Operations write_csv, Pivot Tables, and Join Strategies.mp4 (55.2 MB)
    • 8 -Eager vs Lazy Execution in Polars Speed Comparison with Pandas.mp4 (121.8 MB)
    • 9 -Data Visualization in Polars. Benefits, Limitations, and Comparison.mp4 (30.2 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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