| 1. Analyzing Financial Data with Polars.mp4 | 97.4 MB | ||
| 1. Conclusion And Recap.mp4 | 25.1 MB | ||
| 1. Functions in Python Definition and Usage.mp4 | 24.7 MB | ||
| 1. Getting Started with Series Polars Basic Operations.mp4 | 38.1 MB | ||
| 1. Installing Python and Setting Up Your Environment.mp4 | 35.4 MB | ||
| 1. Introduction to Aggregations and Grouping in Polars.mp4 | 41.3 MB | ||
| 1. Introduction to Filtering and Selecting Data in Polars.mp4 | 29.6 MB | ||
| 1. Joins and Concatenations Lecture.mp4 | 85.8 MB | ||
| 1. Memory Management Handling Large Datasets with Polars.mp4 | 52 MB | ||
| 1.1 code.ipynb | 7.9 KB | ||
| 2. Aggregating Data with Polars min, max, mean, median, sum.mp4 | 22.4 MB | ||
| 2. Filtering Data with Polars.mp4 | 22.9 MB | ||
| 2. Functions in Python Definition and Usage - QUIZ.html | 204.8 B | ||
| 2. Getting Started with DataFrame Polars Basic Operations.mp4 | 28.9 MB | ||
| 2. How To create VENV.mp4 | 23.3 MB | ||
| 2. Parallel Processing Speeding Up Data Analysis with Polars.mp4 | 42 MB | ||
| 2. Real-world Applications and Case Studies QUIZ.html | 204.8 B | ||
| 2. Understanding Concatenation in Polars.html | 3.2 KB | ||
| 2.1 code.ipynb | 5.1 KB | ||
| 3. Functions in Python Definition and Usage - Code Exercise.html | 204.8 B | ||
| 3. How to Install Python 3 and Use Virtual Environments (venv) on Windows- Article.html | 3.8 KB | ||
| 3. Optimizing Performance with Polars QUIZ.html | 204.8 B | ||
| 3. Ranking Data with Polars.mp4 | 40.9 MB | ||
| 3. Reading and Writing CSV Files with Polars.mp4 | 35.6 MB | ||
| 3. Selecting Columns and Rows with Polars.mp4 | 29.2 MB | ||
| 3. Understanding Join Types in Polars.html | 4.8 KB | ||
| 3.1 code.ipynb | 7.5 KB | ||
| 3.2 output.csv | 512 B | ||
| 3.3 tips.csv | 18.1 KB | ||
| 4. Grouping Data with Polars.mp4 | 41 MB | ||
| 4. How to Install Python 3 and Use Virtual Environments (venv) on linux- Article.html | 3.7 KB | ||
| 4. Merging DataFrames with Polars QUIZ.html | 204.8 B | ||
| 4. Modules and Packages Organizing Code.mp4 | 22 MB | ||
| 4. Reading and Writing Excel Files with Polars.mp4 | 12.8 MB | ||
| 4. Slicing and Sampling Data with Polars.mp4 | 28.3 MB | ||
| 4.1 code.ipynb | 7.6 KB | ||
| 4.2 example.xlsx | 8.4 KB | ||
| 5. Converting Pandas DataFrames to Polars.mp4 | 18.6 MB | ||
| 5. How to Install Python 3 and Use Virtual Environments (venv) on Mac- Article.html | 4.2 KB | ||
| 5. Modules and Packages Organizing Code - QUIZ.html | 204.8 B | ||
| 5. Pivot Tables and Cross-Tabulations with Polars.mp4 | 53 MB | ||
| 5. Sorting Data with Polars.mp4 | 32.4 MB | ||
| 5.1 code.ipynb | 6.5 KB | ||
| 6. Aggregations and Grouping in Polars QUIZ.html | 204.8 B | ||
| 6. Basic Data Processing with Polars QUIZ.html | 204.8 B | ||
| 6. How to Install Jupyter Lab - Practicle.mp4 | 30.6 MB | ||
| 6. Modules and Packages Organizing Code - Coding Exercise.html | 204.8 B | ||
| 6. Test your understanding of basic Polars concepts..html | 204.8 B | ||
| 7. How to Install Jupyter Lab - Article.html | 7.4 KB | ||
| 7. Understanding Python Classes and Objects.mp4 | 42.7 MB | ||
| 8. Understanding Python Classes and Objects - QUIZ.html | 204.8 B | ||
| 9. Understanding Python Classes and Objects - Coding Exercise.html | 204.8 B | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 67 total files | |||
Mastering Data Analysis with Polars in Python: Crash Course
https://FreeCourseWeb.com
Published 4/2024
Created by Idan Chen
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 Lectures ( 2h 48m ) | Size: 956 MB
Unlock the Power of Polars for Fast and Efficient Data Analysis in Python - Dive into Data Science Today!
What you'll learn:
Understand the fundamentals of Polars, a high-performance data manipulation library in Python.
Learn essential data processing techniques including filtering, aggregating, and transforming data.
Master advanced data manipulation tasks such as joins, groupings, and window functions.
Gain insights into optimizing performance and improving efficiency when working with large datasets.
Develop the skills to tackle complex data analysis challenges and derive meaningful insights.
Explore practical examples and real-world datasets to solidify understanding.
Become proficient in leveraging Polars for fast and efficient data analysis in Python.
Understand techniques for working with large CSV files efficiently using Polars.
Learn strategies to optimize memory usage and processing speed when dealing with massive datasets.
Gain practical experience in applying Polars to analyze and manipulate extensive CSV datasets with ease.
Requirements:
Basic understanding of Python programming.
Familiarity with data structures like lists, dictionaries, and tuples.
Prior knowledge of data analysis concepts is beneficial but not required.
Access to a computer with Python and Polars library installed (installation instructions will be provided).
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 833.5 MB | freecoursewb | 1 month | 5 | 1 | |
| 562.9 MB | freecoursewb | 2 months | 1 | 0 | |
|
Udemy - Mastering Data Infrastructure with Python and SQL for Engineer Posted by
freecoursewb in Other
|
1.9 GB | freecoursewb | 5 months | 3 | 0 |
|
Udemy - Mastering Data Management - From Basics to Business Insights Posted by
freecoursewb in Other
|
551.1 MB | freecoursewb | 1 year | 0 | 0 |
|
Udemy - Mastering Polars - Fast Data Processing and Big Data Analysis Posted by
freecoursewb in Other
|
552.1 MB | freecoursewb | 1 year | 6 | 1 |
All Comments