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[ FreeCourseWeb.com ] Mastering Data Analysis with Polars in Python - Crash Course
Size 956.34 MB
Files 47
Info Hash: D47AE78F305F2422641F39512EBB254BE44C7A03
Indexed 2024-04-12 15:51:59
Updated 2024-04-12 15:51:59
📂 File List (47)
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1. Installing Python and Setting Up Your Environment.mp4
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2. How To create VENV.mp4
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6. How to Install Jupyter Lab - Practicle.mp4
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1. Functions in Python Definition and Usage.mp4
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4. Modules and Packages Organizing Code.mp4
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7. Understanding Python Classes and Objects.mp4
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1. Getting Started with Series Polars Basic Operations.mp4
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1.1 code.ipynb
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2. Getting Started with DataFrame Polars Basic Operations.mp4
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2.1 code.ipynb
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3. Reading and Writing CSV Files with Polars.mp4
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3.1 code.ipynb
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3.2 output.csv
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3.3 tips.csv
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4. Reading and Writing Excel Files with Polars.mp4
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4.1 code.ipynb
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4.2 example.xlsx
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5. Converting Pandas DataFrames to Polars.mp4
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5.1 code.ipynb
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1. Introduction to Filtering and Selecting Data in Polars.mp4
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1.1 code.ipynb
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2. Filtering Data with Polars.mp4
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2.1 code.ipynb
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3. Selecting Columns and Rows with Polars.mp4
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3.1 code.ipynb
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4. Slicing and Sampling Data with Polars.mp4
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4.1 code.ipynb
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5. Sorting Data with Polars.mp4
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5.1 code.ipynb
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1. Introduction to Aggregations and Grouping in Polars.mp4
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1.1 code.ipynb
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2. Aggregating Data with Polars min, max, mean, median, sum.mp4
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2.1 code.ipynb
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3. Ranking Data with Polars.mp4
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3.1 code.ipynb
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4. Grouping Data with Polars.mp4
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4.1 code.ipynb
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5. Pivot Tables and Cross-Tabulations with Polars.mp4
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5.1 code.ipynb
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1. Joins and Concatenations Lecture.mp4
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1.1 code.ipynb
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1. Memory Management Handling Large Datasets with Polars.mp4
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1.1 code.ipynb
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2. Parallel Processing Speeding Up Data Analysis with Polars.mp4
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2.1 code.ipynb
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1. Analyzing Financial Data with Polars.mp4
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1. Conclusion And Recap.mp4
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