{"id":18625585,"url":"https://github.com/mdbecker/daa_philly_2015","last_synced_at":"2026-01-24T22:33:04.482Z","repository":{"id":141939211,"uuid":"44935424","full_name":"mdbecker/daa_philly_2015","owner":"mdbecker","description":"Materials for the DAA Philly Symposium 2015 talk \"Analyzing the Philadelphia Data Science Scene with Python\"","archived":false,"fork":false,"pushed_at":"2015-10-29T02:17:30.000Z","size":4056,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-05-19T15:38:38.193Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"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/mdbecker.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}},"created_at":"2015-10-25T23:44:33.000Z","updated_at":"2015-10-25T23:44:33.000Z","dependencies_parsed_at":null,"dependency_job_id":"fdf35ba6-ddcb-4bc2-a02e-216a828ca2de","html_url":"https://github.com/mdbecker/daa_philly_2015","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mdbecker/daa_philly_2015","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdbecker%2Fdaa_philly_2015","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdbecker%2Fdaa_philly_2015/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdbecker%2Fdaa_philly_2015/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdbecker%2Fdaa_philly_2015/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mdbecker","download_url":"https://codeload.github.com/mdbecker/daa_philly_2015/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdbecker%2Fdaa_philly_2015/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28738973,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-24T22:12:27.248Z","status":"ssl_error","status_checked_at":"2026-01-24T22:12:10.529Z","response_time":89,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":"2024-11-07T04:35:11.198Z","updated_at":"2026-01-24T22:33:04.465Z","avatar_url":"https://github.com/mdbecker.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# daa_philly_2015\nMaterials for the DAA Philly Symposium 2015 talk \"Analyzing the Philadelphia Data Science Scene with Python\"\n\nTo view this material online in non-interative mode, see [here](http://nbviewer.ipython.org/github/mdbecker/daa_philly_2015/blob/master/DataPhilly_Analysis.ipynb).\n\n## Setup instructions\nTo run this interactively you'll need Python installed with a bunch of packages. The easiest way to install these packages is to use the Anaconda Python distribution.\n\n### Install Anaconda\nDownload and install [anaconda](http://docs.continuum.io/anaconda/install)\n\n### Create environment\nFrom the commandline run the following:\n\n#### Linux/OS X\n```bash\nconda create -y -n daa_demo python=2.7 pip notebook pandas requests scikit-learn matplotlib seaborn\nsource activate daa_demo\njupyter notebook\n```\n\n#### Windows\n```bash\nconda create -y -n daa_demo python=2.7 pip notebook pandas requests scikit-learn matplotlib seaborn\nactivate daa_demo\njupyter notebook\n```\n\n### Using the notebook\nAt this point you should have a browser window open with jupyter notebook running. If you started jupyter in the directory with ``DataPhilly_Analysis.ipynb``, you should see it in the main menu and be able to click on it.\n\n## Troubleshooting\n\n* For help with anaconda see the docs [here](http://conda.pydata.org/docs/using/using.html).\n* For help with using Jupyter Notebook see the docs [here](https://jupyter.readthedocs.org/en/latest/install.html).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmdbecker%2Fdaa_philly_2015","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmdbecker%2Fdaa_philly_2015","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmdbecker%2Fdaa_philly_2015/lists"}