{"id":23093006,"url":"https://github.com/crispengari/ml-data-loading","last_synced_at":"2026-05-08T05:36:57.060Z","repository":{"id":141094836,"uuid":"342342369","full_name":"CrispenGari/ml-data-loading","owner":"CrispenGari","description":"💎 This is a simple quick guide on working with files in pandas. We will be working with the following types of files and learn how to read and write using the pandas library.","archived":false,"fork":false,"pushed_at":"2024-11-17T13:09:41.000Z","size":6065,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-11-17T14:19:21.942Z","etag":null,"topics":["ai","dataframe","datascience","jupyter-notebook","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/CrispenGari.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":"2021-02-25T18:34:06.000Z","updated_at":"2024-11-17T13:09:46.000Z","dependencies_parsed_at":"2023-10-04T03:45:09.531Z","dependency_job_id":"4618b131-dcf9-497b-8a22-2f376f367338","html_url":"https://github.com/CrispenGari/ml-data-loading","commit_stats":null,"previous_names":["crispengari/ml-data-loading"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CrispenGari%2Fml-data-loading","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CrispenGari%2Fml-data-loading/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CrispenGari%2Fml-data-loading/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CrispenGari%2Fml-data-loading/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CrispenGari","download_url":"https://codeload.github.com/CrispenGari/ml-data-loading/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":230030945,"owners_count":18162231,"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":["ai","dataframe","datascience","jupyter-notebook","machine-learning","numpy","pandas","python"],"created_at":"2024-12-16T21:46:13.604Z","updated_at":"2026-05-08T05:36:52.012Z","avatar_url":"https://github.com/CrispenGari.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"### ML Data Loading\n\nIn this repository we are going to have a series of notebook on how we can load data from files in python tailored for machine learning tasks.\n\n1. [`00_PANDAS`](/00_PANDAS/)\n2. [`01_PySpark`](/01_PySpark/)\n\n### Documentation References\n\nHere are the documentation references.\n\n1. [PySpark](https://spark.apache.org/docs/latest/api/python/index.html)\n2. [Pandas](https://pandas.pydata.org/docs/index.html)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcrispengari%2Fml-data-loading","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcrispengari%2Fml-data-loading","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcrispengari%2Fml-data-loading/lists"}