Mastering Data Analysis with Polars in Python Crash Course FreeCourseWeb
Seeders : 9 Leechers : 3
| Torrent Hash : | D47AE78F305F2422641F39512EBB254BE44C7A03 |
| Torrent Added : | at April 8, 2024, 10:04 p.m. in Other |
| Torrent Size : | 956.3 MB |
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Mastering Data Analysis with Polars in Python Crash Course FreeCourseWeb
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Mastering Data Analysis with Polars in Python Crash Course FreeCourseWeb
Get Bonus Downloads Here.url -
1. Installing Python and Setting Up Your Environment.mp4 -
2. How To create VENV.mp4 -
3. How to Install Python 3 and Use Virtual Environments (venv) on Windows- Article.html -
4. How to Install Python 3 and Use Virtual Environments (venv) on linux- Article.html -
5. How to Install Python 3 and Use Virtual Environments (venv) on Mac- Article.html -
6. How to Install Jupyter Lab - Practicle.mp4 -
7. How to Install Jupyter Lab - Article.html -
1. Functions in Python Definition and Usage.mp4 -
2. Functions in Python Definition and Usage - QUIZ.html -
3. Functions in Python Definition and Usage - Code Exercise.html -
4. Modules and Packages Organizing Code.mp4 -
5. Modules and Packages Organizing Code - QUIZ.html -
6. Modules and Packages Organizing Code - Coding Exercise.html -
7. Understanding Python Classes and Objects.mp4 -
8. Understanding Python Classes and Objects - QUIZ.html -
9. Understanding Python Classes and Objects - Coding Exercise.html -
1. Getting Started with Series Polars Basic Operations.mp4 -
1.1 code.ipynb -
2. Getting Started with DataFrame Polars Basic Operations.mp4 -
2.1 code.ipynb -
3. Reading and Writing CSV Files with Polars.mp4 -
3.1 code.ipynb -
3.2 output.csv -
3.3 tips.csv -
4. Reading and Writing Excel Files with Polars.mp4 -
4.1 code.ipynb -
4.2 example.xlsx -
5. Converting Pandas DataFrames to Polars.mp4 -
5.1 code.ipynb -
6. Test your understanding of basic Polars concepts..html -
1. Introduction to Filtering and Selecting Data in Polars.mp4 -
1.1 code.ipynb -
2. Filtering Data with Polars.mp4 -
2.1 code.ipynb -
3. Selecting Columns and Rows with Polars.mp4 -
3.1 code.ipynb -
4. Slicing and Sampling Data with Polars.mp4 -
4.1 code.ipynb -
5. Sorting Data with Polars.mp4 -
5.1 code.ipynb -
6. Basic Data Processing with Polars QUIZ.html -
1. Introduction to Aggregations and Grouping in Polars.mp4 -
1.1 code.ipynb -
2. Aggregating Data with Polars min, max, mean, median, sum.mp4 -
2.1 code.ipynb -
3. Ranking Data with Polars.mp4 -
3.1 code.ipynb -
4. Grouping Data with Polars.mp4 -
4.1 code.ipynb -
5. Pivot Tables and Cross-Tabulations with Polars.mp4 -
5.1 code.ipynb -
6. Aggregations and Grouping in Polars QUIZ.html -
1. Joins and Concatenations Lecture.mp4 -
1.1 code.ipynb -
2. Understanding Concatenation in Polars.html -
3. Understanding Join Types in Polars.html -
4. Merging DataFrames with Polars QUIZ.html -
1. Memory Management Handling Large Datasets with Polars.mp4 -
1.1 code.ipynb -
2. Parallel Processing Speeding Up Data Analysis with Polars.mp4 -
2.1 code.ipynb -
3. Optimizing Performance with Polars QUIZ.html -
1. Analyzing Financial Data with Polars.mp4 -
2. Real-world Applications and Case Studies QUIZ.html -
1. Conclusion And Recap.mp4 -
Bonus Resources.txt -
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Get Bonus Downloads Here.url -
183 bytes
1. Installing Python and Setting Up Your Environment.mp4 -
35.4 MB
2. How To create VENV.mp4 -
23.3 MB
3. How to Install Python 3 and Use Virtual Environments (venv) on Windows- Article.html -
3.8 KB
4. How to Install Python 3 and Use Virtual Environments (venv) on linux- Article.html -
3.7 KB
5. How to Install Python 3 and Use Virtual Environments (venv) on Mac- Article.html -
4.2 KB
6. How to Install Jupyter Lab - Practicle.mp4 -
30.6 MB
7. How to Install Jupyter Lab - Article.html -
7.4 KB
1. Functions in Python Definition and Usage.mp4 -
24.7 MB
2. Functions in Python Definition and Usage - QUIZ.html -
169 bytes
3. Functions in Python Definition and Usage - Code Exercise.html -
169 bytes
4. Modules and Packages Organizing Code.mp4 -
22.0 MB
5. Modules and Packages Organizing Code - QUIZ.html -
169 bytes
6. Modules and Packages Organizing Code - Coding Exercise.html -
169 bytes
7. Understanding Python Classes and Objects.mp4 -
42.7 MB
8. Understanding Python Classes and Objects - QUIZ.html -
169 bytes
9. Understanding Python Classes and Objects - Coding Exercise.html -
169 bytes
1. Getting Started with Series Polars Basic Operations.mp4 -
38.1 MB
1.1 code.ipynb -
3.9 KB
2. Getting Started with DataFrame Polars Basic Operations.mp4 -
28.9 MB
2.1 code.ipynb -
7.9 KB
3. Reading and Writing CSV Files with Polars.mp4 -
35.6 MB
3.1 code.ipynb -
11.6 KB
3.2 output.csv -
481 bytes
3.3 tips.csv -
18.1 KB
4. Reading and Writing Excel Files with Polars.mp4 -
12.8 MB
4.1 code.ipynb -
3.3 KB
4.2 example.xlsx -
8.4 KB
5. Converting Pandas DataFrames to Polars.mp4 -
18.6 MB
5.1 code.ipynb -
6.2 KB
6. Test your understanding of basic Polars concepts..html -
169 bytes
1. Introduction to Filtering and Selecting Data in Polars.mp4 -
29.6 MB
1.1 code.ipynb -
10.9 KB
2. Filtering Data with Polars.mp4 -
22.9 MB
2.1 code.ipynb -
9.8 KB
3. Selecting Columns and Rows with Polars.mp4 -
29.2 MB
3.1 code.ipynb -
8.6 KB
4. Slicing and Sampling Data with Polars.mp4 -
28.3 MB
4.1 code.ipynb -
6.3 KB
5. Sorting Data with Polars.mp4 -
32.4 MB
5.1 code.ipynb -
7.0 KB
6. Basic Data Processing with Polars QUIZ.html -
169 bytes
1. Introduction to Aggregations and Grouping in Polars.mp4 -
41.3 MB
1.1 code.ipynb -
8.5 KB
2. Aggregating Data with Polars min, max, mean, median, sum.mp4 -
22.4 MB
2.1 code.ipynb -
4.7 KB
3. Ranking Data with Polars.mp4 -
40.9 MB
3.1 code.ipynb -
7.5 KB
4. Grouping Data with Polars.mp4 -
41.0 MB
4.1 code.ipynb -
7.6 KB
5. Pivot Tables and Cross-Tabulations with Polars.mp4 -
53.0 MB
5.1 code.ipynb -
6.5 KB
6. Aggregations and Grouping in Polars QUIZ.html -
169 bytes
1. Joins and Concatenations Lecture.mp4 -
85.8 MB
1.1 code.ipynb -
13.4 KB
2. Understanding Concatenation in Polars.html -
3.2 KB
3. Understanding Join Types in Polars.html -
4.8 KB
4. Merging DataFrames with Polars QUIZ.html -
169 bytes
1. Memory Management Handling Large Datasets with Polars.mp4 -
52.0 MB
1.1 code.ipynb -
7.9 KB
2. Parallel Processing Speeding Up Data Analysis with Polars.mp4 -
42.0 MB
2.1 code.ipynb -
5.1 KB
3. Optimizing Performance with Polars QUIZ.html -
169 bytes
1. Analyzing Financial Data with Polars.mp4 -
97.4 MB
2. Real-world Applications and Case Studies QUIZ.html -
169 bytes
1. Conclusion And Recap.mp4 -
25.1 MB
Bonus Resources.txt -
386 bytes
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