| 1 -Here is the link to access the dataset on GitHub, used in the project.url | 102.4 B | ||
| 1 -Introduction to Polars Why It’s Faster and How It Differs from Pandas.mp4 | 48.4 MB | ||
| 1 -Introduction.mp4 | 23.5 MB | ||
| 1 -The second CSV file used in the project is downloaded from Kaggle.url | 102.4 B | ||
| 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 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 | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B |
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!
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.1 GB | freecoursewb | 4 weeks | 65 | 6 | |
|
Udemy - Mastering CAN Network - Vector CANoe,CANalyzer, CAPL and Theory Posted by
freecoursewb in Other
|
1.4 GB | freecoursewb | 1 month | 0 | 0 |
| 1.2 GB | freecoursewb | 1 month | 0 | 0 | |
| 540.5 MB | freecoursewb | 1 month | 30 | 1 | |
| 2.7 GB | freecoursewb | 1 month | 0 | 0 |
All Comments