{"id":17279492,"url":"https://github.com/reagentx/numpy_practice","last_synced_at":"2025-03-26T14:45:44.762Z","repository":{"id":68633694,"uuid":"127815975","full_name":"ReagentX/numpy_practice","owner":"ReagentX","description":"Solutions to the lessons on Machine Learning Plus's 101 Numpy Exercises blog post","archived":false,"fork":false,"pushed_at":"2018-05-10T06:06:50.000Z","size":80,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-01-31T16:15:00.450Z","etag":null,"topics":["arrays","data-manipulation","data-science","machine-learning"],"latest_commit_sha":null,"homepage":"https://www.machinelearningplus.com/101-numpy-exercises-python/","language":"Python","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/ReagentX.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":"2018-04-02T21:44:33.000Z","updated_at":"2024-01-01T17:31:55.000Z","dependencies_parsed_at":null,"dependency_job_id":"58ec1032-bd23-484b-bdc3-3603643a2551","html_url":"https://github.com/ReagentX/numpy_practice","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ReagentX%2Fnumpy_practice","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ReagentX%2Fnumpy_practice/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ReagentX%2Fnumpy_practice/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ReagentX%2Fnumpy_practice/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ReagentX","download_url":"https://codeload.github.com/ReagentX/numpy_practice/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245675390,"owners_count":20654361,"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":["arrays","data-manipulation","data-science","machine-learning"],"created_at":"2024-10-15T09:17:47.679Z","updated_at":"2025-03-26T14:45:44.739Z","avatar_url":"https://github.com/ReagentX.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 101 NumPy Exercises for Data Analysis\n\nThese lessons are from the [Machine Learning Plus](https://www.machinelearningplus.com/101-numpy-exercises-python/) blog. The filenames in the `scripts` directory are the lesson numbers.\n\n## Running these files\n\nAfter setting up a [virtual environment](https://docs.python.org/3/library/venv.html) with `python3 -m venv /path/to/new/virtual/environment`, clone this repository and install [NumPy](http://www.numpy.org), [Pandas](https://pandas.pydata.org), and [Scikit](http://scikit-learn.org/stable/index.html) using `pip`. After that, each lesson should run without any modification. Make sure you activate the virtual environment before running any code.\n\n## Notes\n\n- All lessons are answered and commented. Some lessons include Pandas and Scikit examples as well.\n- As of this writing, there were only 70 lessons of the 101 mentioned in the blog post's title.\n- Lesson 49 seems especially silly, if a better solution exists please open an issue or pull request.\n- Lesson 53 uses a very different solution than that given in the blog post.\n- Lesson 58 uses a very different solution than that given in the blog post.\n- Lesson 60 requires installation of `requests` and `image`, easily done through `pip`.\n- Lesson 63 uses a very different solution than that given in the blog post.\n- Lesson 67 uses a very different solution than that given in the blog post.\n- Lesson 69 uses a very different solution than that given in the blog post.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Freagentx%2Fnumpy_practice","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Freagentx%2Fnumpy_practice","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Freagentx%2Fnumpy_practice/lists"}