{"id":17789477,"url":"https://github.com/mihirh19/python","last_synced_at":"2026-04-11T05:04:04.434Z","repository":{"id":153233631,"uuid":"625841528","full_name":"mihirh19/Python","owner":"mihirh19","description":"a repository for collaborative development and version control using Git that houses Python code files, documentation, tests, and other project-related files.","archived":false,"fork":false,"pushed_at":"2023-09-29T07:49:43.000Z","size":1847,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-02T00:45:36.008Z","etag":null,"topics":["algorithms","data-structures","django","fastapi","flask","machine-learning","numpy","pandas","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mihirh19.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-04-10T08:11:09.000Z","updated_at":"2023-06-27T10:03:29.000Z","dependencies_parsed_at":"2023-09-29T07:10:27.809Z","dependency_job_id":null,"html_url":"https://github.com/mihirh19/Python","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mihirh19/Python","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mihirh19%2FPython","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mihirh19%2FPython/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mihirh19%2FPython/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mihirh19%2FPython/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mihirh19","download_url":"https://codeload.github.com/mihirh19/Python/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mihirh19%2FPython/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31669118,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-10T17:19:37.612Z","status":"online","status_checked_at":"2026-04-11T02:00:05.776Z","response_time":54,"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":["algorithms","data-structures","django","fastapi","flask","machine-learning","numpy","pandas","python"],"created_at":"2024-10-27T10:31:53.343Z","updated_at":"2026-04-11T05:04:04.418Z","avatar_url":"https://github.com/mihirh19.png","language":"Jupyter Notebook","readme":"# Python Programming Topics\n\n### This repository provides an overview of different Python programming topics, categorized into the following sections:\n\n----\n\n## 1. Basic Python:\n\n    - Variables, data types, and operators\n    - Control flow statements (if, for, while)\n    - Functions and modules\n    - Exception handling\n    - Os module\n    - File I/O\n    - Basic input/output\n\n---\n\n## 2. Advanced Python:\n\n    - Object-oriented programming (OOP) concepts\n    - Regular expressions\n    - Decorators and generators\n    - Context managers\n    - Metaclasses\n    - Pythonic coding practices\n    - Advanced input/output\n\n----\n\n## 3. Web Development:\n\n    - Flask or Django web frameworks\n    - Routing and handling HTTP requests\n    - Database connectivity (SQLAlchemy, Django ORM, MongoDB, MYSQL)\n    - Template engines (Jinja2)\n    - Authentication and authorization\n    - RESTFUL APIs\n    - Front-end development (HTML, CSS, JavaScript)\n    - Deployment and hosting\n\n----\n\n## 4. Data Science and Machine Learning:\n\n    - NumPy, pandas, and matplotlib for data analysis and visualization\n    - Machine learning libraries (scikit-learn, TensorFlow, PyTorch)\n    - Data preprocessing and feature engineering\n    - Model training, evaluation, and selection\n    - Deep learning concepts (neural networks, convolutional neural networks, recurrent neural networks)\n    - Model deployment and serving\n    - Natural language processing (NLP) and text mining\n    - Data visualization and reporting (matplotlib, seaborn, Tableau)\n\n----\n\n## 5. Code Optimization:\n\n    - Profiling and benchmarking\n    - Memory management\n    - Algorithm optimization\n    - Performance tuning techniques\n    - Cython and other approaches for improving code efficiency\n    - Compiler flags and optimization options\n    - Best practices for optimizing Python code\n\n----\n\n## 6. Data Structures and Algorithms (DSA):\n\n    - Arrays, lists, stacks, queues, and dictionaries\n    - Searching and sorting algorithms (binary search, quicksort, mergesort)\n    - Graph algorithms (DFS, BFS, Dijkstra's algorithm, etc.)\n    - Dynamic programming\n    - Recursion\n    - Big O notation and time complexity analysis\n    - Trees and their traversal (binary trees, B-trees, heaps, etc.)\n    - Advanced data structures (hash tables, sets, tries)\n\n----\n\n    Note: These categories are not mutually exclusive, and there may be some overlap between them. Python is a versatile language that can be used for a wide range of applications, and learning different topics within Python can help you become a well-rounded programmer.\n\n----\n\n\n\u003cH1 style=\"text-align: center\"\u003eHappy coding!🐍💻\u003c/H1\u003e\n\n\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmihirh19%2Fpython","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmihirh19%2Fpython","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmihirh19%2Fpython/lists"}