{"id":23592886,"url":"https://github.com/asut00/python-piscine_42ai","last_synced_at":"2026-05-07T08:35:24.916Z","repository":{"id":267868375,"uuid":"902601168","full_name":"asut00/Python-Piscine_42AI","owner":"asut00","description":"Python Bootcamp: A one-week intensive course with 42AI at École 42, covering Python fundamentals, data manipulation, and introductory AI concepts.","archived":false,"fork":false,"pushed_at":"2024-12-12T23:04:45.000Z","size":10193,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-27T08:16:55.457Z","etag":null,"topics":["matplotlib","numpy","pandas","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/asut00.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-12T22:23:41.000Z","updated_at":"2024-12-17T22:49:24.000Z","dependencies_parsed_at":"2024-12-12T23:41:02.152Z","dependency_job_id":null,"html_url":"https://github.com/asut00/Python-Piscine_42AI","commit_stats":null,"previous_names":["asut00/python-bootcamp_42ai","asut00/python-piscine_42ai"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asut00%2FPython-Piscine_42AI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asut00%2FPython-Piscine_42AI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asut00%2FPython-Piscine_42AI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/asut00%2FPython-Piscine_42AI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/asut00","download_url":"https://codeload.github.com/asut00/Python-Piscine_42AI/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239432755,"owners_count":19637798,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["matplotlib","numpy","pandas","python"],"created_at":"2024-12-27T08:16:17.270Z","updated_at":"2025-11-04T10:30:36.332Z","avatar_url":"https://github.com/asut00.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Python Bootcamp with 42AI 🐍\n\nWelcome 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.\n\n---\n\n## Overview\n\nThe **Python Bootcamp** covered a range of topics from beginner to intermediate levels, including:\n\n1. **Python Basics**: Syntax, variables, and data types.\n2. **Control Flow**: Loops, conditionals, and error handling.\n3. **Functions and Modules**: Writing reusable code.\n4. **Data Structures**: Lists, dictionaries, sets, and tuples.\n5. **File Handling**: Reading and writing files.\n6. **Object-Oriented Programming (OOP)**: Classes and inheritance.\n7. **Introduction to NumPy and Pandas**: Data manipulation and analysis.\n8. **AI Concepts**: Basics of machine learning and practical applications.\n\n---\n\n## Key Highlights\n\n- **Mini-projects completed**:\n  - **Text Analyzer**: A script to analyze word frequency and sentiment in text.\n  - **Data Visualizer**: A program to generate insightful charts using Matplotlib.\n  - **Simple AI Model**: An implementation of a Kmean Machine Learning model from scratch.\n\n- **Skills Gained**:\n  - Writing clean and efficient Python code.\n  - Manipulating and analyzing data using Pandas.\n  - Building a small-scale unsupervised machine learning.\n\n---\n\n## Acknowledgments\n\nSpecial 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.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasut00%2Fpython-piscine_42ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fasut00%2Fpython-piscine_42ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasut00%2Fpython-piscine_42ai/lists"}