https://github.com/lainyshion/proyecto-2-fundamentos-python
Evaluación académica del Sprint 2 del bootcamp TripleTen. Limpieza y análisis básico de datos de usuarios/as usando condicionales, bucles, listas y validación de errores
https://github.com/lainyshion/proyecto-2-fundamentos-python
beginner-project bootcamp data-cleaning data-science data-types jupyter-notebook learning-python lists portfolio python tripleten
Last synced: 7 months ago
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Evaluación académica del Sprint 2 del bootcamp TripleTen. Limpieza y análisis básico de datos de usuarios/as usando condicionales, bucles, listas y validación de errores
- Host: GitHub
- URL: https://github.com/lainyshion/proyecto-2-fundamentos-python
- Owner: Lainyshion
- Created: 2025-03-29T02:22:07.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-29T03:12:20.000Z (7 months ago)
- Last Synced: 2025-03-29T03:25:38.377Z (7 months ago)
- Topics: beginner-project, bootcamp, data-cleaning, data-science, data-types, jupyter-notebook, learning-python, lists, portfolio, python, tripleten
- Language: Jupyter Notebook
- Size: 10.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Project: Fundamental Python Project
## Description
This repository, named "Proyecto-2-Fundamentos-Python," serves as an academic evaluation project for the Sprint 2 of the TripleTen bootcamp. The project focuses on data cleaning and basic analysis of user data utilizing conditionals, loops, lists, and error validation techniques.
## Topics
- **Beginner Project**
- **Bootcamp**
- **Data Cleaning**
- **Data Science**
- **Data Types**
- **Jupyter Notebook**
- **Learning Python**
- **Lists**
- **Portfolio**
- **Python**
- **TripleTen**
## Access the Project
To access the project release, [click here](https://github.com/Lainyshion/Proyecto-2-Fundamentos-Python/releases).
## Conclusion
This project repository offers an opportunity to delve into the world of Python programming and data analysis, focusing on fundamental concepts essential for both academic and professional development. Feel free to explore the project, learn from the provided materials, and enhance your skills in Python programming and data manipulation. Visit the link above to access the project release.
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Feel free to access the repository for exciting insights and practical applications in Python programming and data analysis. Explore, learn, and elevate your skills in a structured and engaging manner.