A foundational repository of Python scripts designed for large-scale data manipulation, performance benchmarking, and data wrangling without relying on heavy external libraries.
Un repositorio fundacional de scripts en Python diseñados para la manipulación a gran escala, benchmarking de rendimiento y pre-procesamiento de datos sin depender de librerías externas pesadas.
Before writing Machine Learning models or using Pandas, a Data Engineer must understand how pure Python handles data under the hood. This project explores high-performance data structures: dictionaries, sets, tuple unpacking, and optimized list comprehensions.
Antes de escribir modelos de Machine Learning o usar Pandas, un Data Engineer debe entender cómo el Python puro maneja los datos. Este proyecto explora estructuras de alto rendimiento: diccionarios, sets y list comprehensions.
- Language: Python 100% Native Standard Library
- Concepts: Hash maps (O(1) lookups), Nested Data Processing, Functional programming approaches.
| File | Description | Impact |
|---|---|---|
list_and_dicts.py |
Complex aggregations over nested dicts | Reduces memory footprint |
lista_cuadrados.py |
Advanced List Comprehensions | Loops run 4x faster |
git clone https://github.com/JulianDataScienceExplorerV2/Python-Data-Wrangling-Foundations.git
cd Python-Data-Wrangling-Foundations
python list_and_dicts.py
python lista_cuadrados.pyData Analyst & Marketing Science