big-data-python
OfficialProcess large datasets efficiently.
AuthorUmbral-Bot
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of processing and analyzing datasets that exceed the memory capacity of standard tools, enabling efficient data manipulation and analysis on large volumes of data.
Core Features & Use Cases
- Multi-library Support: Utilizes Pandas, Polars, and Dask for versatile data handling.
- Performance Optimization: Explores eager and lazy evaluation, multithreading, and distributed computing for speed.
- ETL Pipelines: Facilitates the creation of robust Extract, Transform, Load pipelines for big data.
- Use Case: Analyze terabytes of sales data stored in Parquet files across a distributed cluster to identify regional performance trends.
Quick Start
Use the big-data-python skill to process a large CSV file named 'sales_data.csv' using Polars.
Dependency Matrix
Required Modules
pandaspolarsdask[complete]pyarrow
Components
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: big-data-python Download link: https://github.com/Umbral-Bot/umbral-agent-stack/archive/main.zip#big-data-python Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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