{"id":17326747,"url":"https://github.com/dmasad/scientific-python-for-css-605","last_synced_at":"2025-03-27T04:44:33.588Z","repository":{"id":143246862,"uuid":"44937506","full_name":"dmasad/Scientific-Python-for-CSS-605","owner":"dmasad","description":"Examples for guest lecture for CSS 605","archived":false,"fork":false,"pushed_at":"2015-10-28T20:03:04.000Z","size":496,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-01T10:13:50.230Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/dmasad.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}},"created_at":"2015-10-26T00:57:57.000Z","updated_at":"2015-10-26T00:57:59.000Z","dependencies_parsed_at":null,"dependency_job_id":"cafe4c56-bc94-4e3e-8005-f0dddbc16969","html_url":"https://github.com/dmasad/Scientific-Python-for-CSS-605","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/dmasad%2FScientific-Python-for-CSS-605","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmasad%2FScientific-Python-for-CSS-605/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmasad%2FScientific-Python-for-CSS-605/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmasad%2FScientific-Python-for-CSS-605/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dmasad","download_url":"https://codeload.github.com/dmasad/Scientific-Python-for-CSS-605/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245785722,"owners_count":20671631,"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":[],"created_at":"2024-10-15T14:17:22.395Z","updated_at":"2025-03-27T04:44:33.563Z","avatar_url":"https://github.com/dmasad.png","language":"Python","readme":"# Scientific-Python-for-CSS-605\n## Examples for guest lecture for CSS 605\n\nThis repository contains some examples I'll run through in class. To follow along, you'll need:\n\n#### For Part A: \nThe [Scientific Python toolchain](http://www.scipy.org/): in particular, [IPython](http://ipython.org/) (including the [Jupyter Notebook](http://jupyter.org/)), [NumPy](http://www.numpy.org/), [matplotlib](http://matplotlib.org/), and [pandas](http://pandas.pydata.org/).\n\n**Installing:** If you're using [Anaconda](https://www.continuum.io/why-anaconda) or a similar pre-packaged version Scientific Python, you should be set. Otherwise, you can install all the libraries above using the `pip` command from the command line:\n\n  ```\n  pip install ipython[all]\n  pip install numpy\n  pip install matplotlib\n  pip install pandas\n  ```\n\nTo launch the IPython Notebook, just run from the command line:\n  `ipython notebook`\n(or use the launcher included with Anaconda)\n\n#### For Part B:\nThe [Mesa ABM framework](https://github.com/projectmesa/mesa). Installing it is also done with pip:\n  `pip install mesa`\n\n\n\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmasad%2Fscientific-python-for-css-605","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdmasad%2Fscientific-python-for-css-605","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmasad%2Fscientific-python-for-css-605/lists"}