{"id":16717199,"url":"https://github.com/mseri/intro_to_python","last_synced_at":"2025-06-14T08:06:29.501Z","repository":{"id":69444085,"uuid":"45351401","full_name":"mseri/intro_to_python","owner":"mseri","description":"8hrs intro to python for mathematicians (Reading University, Enhancement Week)","archived":false,"fork":false,"pushed_at":"2021-02-17T12:52:55.000Z","size":1759,"stargazers_count":4,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-01-30T01:41:33.119Z","etag":null,"topics":[],"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/mseri.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,"publiccode":null,"codemeta":null}},"created_at":"2015-11-01T18:05:49.000Z","updated_at":"2023-02-17T11:00:41.000Z","dependencies_parsed_at":null,"dependency_job_id":"d9b6b275-8d0e-4590-a36b-21129c442f28","html_url":"https://github.com/mseri/intro_to_python","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mseri%2Fintro_to_python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mseri%2Fintro_to_python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mseri%2Fintro_to_python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mseri%2Fintro_to_python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mseri","download_url":"https://codeload.github.com/mseri/intro_to_python/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238941485,"owners_count":19556006,"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":"2024-10-12T21:30:45.400Z","updated_at":"2025-02-16T22:30:48.024Z","avatar_url":"https://github.com/mseri.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Introduction to Python\n\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/mseri/intro_to_python/master)\n\nThis repository contains the interactive (ipython) lecture notes that I've used for a very brief introduction to python programming for scientists, held at Reading University during the enhancement week.\nDue to time constraints there are many topics that were not covered, but overall I believe it should provide enough informations to start doing something and understand how and where to look for more.\n\nNote that the lecture notes are not self-contained, during the course I was adding examples and additional explanations here and there to integrate the content.\n\n- [Lecture 0](https://github.com/mseri/intro_to_python/blob/master/Lecture%200.ipynb) contains informations on the tools used during the coruse and additional references.\n- [Lecture 1](https://github.com/mseri/intro_to_python/blob/master/Lecture%201.ipynb) is an introduction to Python data structures.\n- [Lecture 2](https://github.com/mseri/intro_to_python/blob/master/Lecture%202.ipynb) gives a brief overview of Python control structures, modules and functions.\n- [Exercises 1](https://github.com/mseri/intro_to_python/blob/master/Exercises%201.ipynb) has some exercises that could be approached with what has been done in the first two lectures.\n- [Lecture 3](https://github.com/mseri/intro_to_python/blob/master/Lecture%203.ipynb) is an introduction to matplotlib.\n- [Lecture 4](https://github.com/mseri/intro_to_python/blob/master/Lecture%204.ipynb) is an introduction to scipy and numpy.\n\nOnline there are many many good resources, with many more details. I tried to link the ones I know and liked, and sometimes overlooked while preparing these notes. \nIf something is missing pleas let me know and I will integrate the comments and the links.\nYou can click on the binder badge to directly run online an interactive version of these notebooks.\n\n## Update (17.02.2021)\nLots of very good material has kept appearing since I wrote these. Have a look at:\n- [Python Programming And Numerical Methods: A Guide For Engineers And Scientists¶](https://pythonnumericalmethods.berkeley.edu/notebooks/Index.html)\n- [Learning Scientific Programming with Python](https://scipython.com/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmseri%2Fintro_to_python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmseri%2Fintro_to_python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmseri%2Fintro_to_python/lists"}