{"id":29459767,"url":"https://github.com/theartificialdev/learningnumpy","last_synced_at":"2025-09-09T06:42:58.300Z","repository":{"id":218676318,"uuid":"747017801","full_name":"TheArtificialDev/LearningNumPy","owner":"TheArtificialDev","description":"Here we will explore the basics of NumPy and how we can use this efficient library to perform our compuational tasks with efficiency and ease","archived":false,"fork":false,"pushed_at":"2024-08-02T11:39:08.000Z","size":35,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-14T01:55:33.725Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/TheArtificialDev.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-01-23T05:06:35.000Z","updated_at":"2024-08-02T11:39:12.000Z","dependencies_parsed_at":"2024-02-04T19:19:48.987Z","dependency_job_id":"a5587d5b-f266-40e8-81f2-af54618d2ec9","html_url":"https://github.com/TheArtificialDev/LearningNumPy","commit_stats":null,"previous_names":["the-ark-knight/learningnumpy","sudothearkknight/learningnumpy","sshbuilder/learningnumpy","osiris7b/learningnumpy","theartificialdev/learningnumpy"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/TheArtificialDev/LearningNumPy","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheArtificialDev%2FLearningNumPy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheArtificialDev%2FLearningNumPy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheArtificialDev%2FLearningNumPy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheArtificialDev%2FLearningNumPy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/TheArtificialDev","download_url":"https://codeload.github.com/TheArtificialDev/LearningNumPy/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TheArtificialDev%2FLearningNumPy/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274254981,"owners_count":25250552,"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","status":"online","status_checked_at":"2025-09-09T02:00:10.223Z","response_time":80,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2025-07-14T01:34:04.862Z","updated_at":"2025-09-09T06:42:58.289Z","avatar_url":"https://github.com/TheArtificialDev.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# NumPy Learning Repository\n\nWelcome to the NumPy Learning Repository! This repository is crafted with the intent of providing a comprehensive learning experience for beginners aiming to master the NumPy library in Python.\n\n## Table of Contents\n\n1. **Introduction**\n   - What is NumPy?\n   - Why NumPy is essential for data manipulation and analysis.\n\n2. **Getting Started**\n   - Installation guide.\n   - Basic setup and configuration.\n\n3. **Code Snippets and Syntax**\n   - A curated collection of essential code snippets.\n   - In-depth explanations of functions and their applications.\n\n4. **Practice Problems**\n   - Diverse set of problems to reinforce your understanding.\n   - Solutions with detailed explanations for effective learning.\n\n5. **Theory Corner**\n   - Theoretical foundations of NumPy.\n   - Understanding the underlying concepts for better utilization.\n\n6. **Additional Resources**\n   - Handpicked external references, articles, and tutorials.\n   - Recommendations for further exploration.\n\n7. **Problem-Solving Tips**\n   - Strategies for efficient problem-solving using NumPy.\n   - Common pitfalls and how to avoid them.\n\n## How to Contribute\n\nIf you have additional insights, code examples, or practice problems that you believe will enhance this learning repository, feel free to contribute! Follow our [contribution guidelines](CONTRIBUTING.md) to ensure smooth collaboration.\n\n## Future Developments\n\nThis repository is a living resource, and we plan to continually expand it. Stay tuned for:\n\n- Advanced topics and techniques.\n- Real-world applications and case studies.\n- Interactive learning modules and challenges.\n\n## Acknowledgments\n\nWe appreciate your interest in the NumPy Learning Repository. Together, let's build a hub for aspiring data scientists and Python enthusiasts.\n\nHappy coding!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftheartificialdev%2Flearningnumpy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftheartificialdev%2Flearningnumpy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftheartificialdev%2Flearningnumpy/lists"}