https://github.com/asut00/python-piscine_42ai

Python Bootcamp: A one-week intensive course with 42AI at École 42, covering Python fundamentals, data manipulation, and introductory AI concepts.
https://github.com/asut00/python-piscine_42ai

matplotlib numpy pandas python

Last synced: 3 months ago
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Python Bootcamp: A one-week intensive course with 42AI at École 42, covering Python fundamentals, data manipulation, and introductory AI concepts.

• Host: GitHub
• URL: https://github.com/asut00/python-piscine_42ai
• Owner: asut00
• Created: 2024-12-12T22:23:41.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-12T23:04:45.000Z (about 1 year ago)
• Last Synced: 2024-12-27T08:16:55.457Z (about 1 year ago)
• Topics: matplotlib, numpy, pandas, python
• Language: Python
• Homepage:
• Size: 9.72 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Python Bootcamp with 42AI 🐍

Welcome to the repository for my Python Bootcamp completed with **42AI**, the artificial intelligence association of **École 42**. This one-week intensive bootcamp was designed to provide a strong foundation in Python programming, focusing on its core concepts, best practices, and applications in data science and AI.

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## Overview

The **Python Bootcamp** covered a range of topics from beginner to intermediate levels, including:

1. **Python Basics**: Syntax, variables, and data types.

2. **Control Flow**: Loops, conditionals, and error handling.

3. **Functions and Modules**: Writing reusable code.

4. **Data Structures**: Lists, dictionaries, sets, and tuples.

5. **File Handling**: Reading and writing files.

6. **Object-Oriented Programming (OOP)**: Classes and inheritance.

7. **Introduction to NumPy and Pandas**: Data manipulation and analysis.

8. **AI Concepts**: Basics of machine learning and practical applications.

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## Key Highlights

- **Mini-projects completed**:

  - **Text Analyzer**: A script to analyze word frequency and sentiment in text.

  - **Data Visualizer**: A program to generate insightful charts using Matplotlib.

  - **Simple AI Model**: An implementation of a Kmean Machine Learning model from scratch.

- **Skills Gained**:

  - Writing clean and efficient Python code.

  - Manipulating and analyzing data using Pandas.

  - Building a small-scale unsupervised machine learning.

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## Acknowledgments

Special thanks to **42AI** for organizing this bootcamp and providing an excellent learning environment. Also, gratitude to my peers and mentors at **École 42** for their support and collaboration.