{"id":20858303,"url":"https://github.com/azaz9026/python_library_numpy","last_synced_at":"2026-05-08T02:02:17.430Z","repository":{"id":220174090,"uuid":"750937157","full_name":"azaz9026/Python_library_NumPy","owner":"azaz9026","description":"NumPy is a Python library used for working with arrays.  It also has functions for working in domain of linear algebra, fourier transform, and matrices...","archived":false,"fork":false,"pushed_at":"2024-04-06T18:13:58.000Z","size":601,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-19T07:22:25.766Z","etag":null,"topics":["array","jupyter-notebooks","numpy","python3"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/azaz9026.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}},"created_at":"2024-01-31T16:07:21.000Z","updated_at":"2024-01-31T17:10:41.000Z","dependencies_parsed_at":"2024-02-04T20:03:42.195Z","dependency_job_id":"d415af84-ecdb-4a48-96d0-ad1add5b1366","html_url":"https://github.com/azaz9026/Python_library_NumPy","commit_stats":null,"previous_names":["azaz9026/python_library_numpy"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/azaz9026%2FPython_library_NumPy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/azaz9026%2FPython_library_NumPy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/azaz9026%2FPython_library_NumPy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/azaz9026%2FPython_library_NumPy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/azaz9026","download_url":"https://codeload.github.com/azaz9026/Python_library_NumPy/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243230102,"owners_count":20257643,"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":["array","jupyter-notebooks","numpy","python3"],"created_at":"2024-11-18T04:45:30.502Z","updated_at":"2025-12-26T02:55:01.117Z","avatar_url":"https://github.com/azaz9026.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Python_library_NumPy\r\n \r\nNumPy Introduction\r\n\r\n\r\nWhat is NumPy?\r\n\r\n\r\nNumPy is a Python library used for working with arrays.\r\n\r\nIt also has functions for working in domain of linear algebra, fourier transform, and matrices.\r\n\r\nNumPy was created in 2005 by Travis Oliphant. It is an open source project and you can use it freely.\r\n\r\nNumPy stands for Numerical Python.\r\n\r\n\r\n\r\nWhy Use NumPy?\r\n\r\n\r\nIn Python we have lists that serve the purpose of arrays, but they are slow to process.\r\n\r\nNumPy aims to provide an array object that is up to 50x faster than traditional Python lists.\r\n\r\nThe array object in NumPy is called ndarray, it provides a lot of supporting functions that make working with ndarray very easy.\r\n\r\nArrays are very frequently used in data science, where speed and resources are very important.\r\n\r\n\r\nInstallation of NumPy\r\n\r\n\r\nIf you have Python and PIP already installed on a system, then installation of NumPy is very easy.\r\n\r\nInstall it using this command:\r\n\r\npip install numpy\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fazaz9026%2Fpython_library_numpy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fazaz9026%2Fpython_library_numpy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fazaz9026%2Fpython_library_numpy/lists"}