{"id":18613974,"url":"https://github.com/enthought/numpy-tutorial-scipyconf-2016","last_synced_at":"2025-11-03T02:30:39.127Z","repository":{"id":66039663,"uuid":"60705101","full_name":"enthought/Numpy-Tutorial-SciPyConf-2016","owner":"enthought","description":"Default Repo description from terraform module","archived":false,"fork":false,"pushed_at":"2022-03-22T22:45:22.000Z","size":3820,"stargazers_count":0,"open_issues_count":1,"forks_count":1,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-12-27T02:42:43.336Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/enthought.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":"2016-06-08T14:40:55.000Z","updated_at":"2022-03-22T22:45:25.000Z","dependencies_parsed_at":"2023-05-02T15:15:31.845Z","dependency_job_id":null,"html_url":"https://github.com/enthought/Numpy-Tutorial-SciPyConf-2016","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/enthought%2FNumpy-Tutorial-SciPyConf-2016","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2FNumpy-Tutorial-SciPyConf-2016/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2FNumpy-Tutorial-SciPyConf-2016/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2FNumpy-Tutorial-SciPyConf-2016/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/enthought","download_url":"https://codeload.github.com/enthought/Numpy-Tutorial-SciPyConf-2016/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239406446,"owners_count":19633024,"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":"2024-11-07T03:24:33.755Z","updated_at":"2025-11-03T02:30:39.091Z","avatar_url":"https://github.com/enthought.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SciPy2016 tutorial: Introduction to NumPy\n\nThis repository contains all the material needed by students registered for the\nNumpy tutorial of SciPy 2016 on Monday, July 11th 2016.\n\nFor a smooth experience, you will need to make sure that you install or update\nyour Python distribution and download the tutorial material _before_ the day\nof the tutorial as the Wi-Fi at the AT\u0026T center can be flaky.\n\n\n## Python distribution and Packages needed\n\nIf you don't already have a working python distribution, by far the easiest\nway to get everything you need for this tutorial is to download Enthought\nCanopy ([https://store.enthought.com/](https://store.enthought.com/),\nthe free version is sufficient), or Continuum's Anaconda\n([http://continuum.io/downloads](http://continuum.io/downloads)).\n\nIf you have the choice, I recommend to use a Python 2.7 distribution, which\nis what I will be using and my material as been tested with that. If you have\na Python 3.4+ version, you should be fine, though you might have to replace a\nprint statement (`print a`) by the print function (`print(a)`) in some of the\nsolution files.\n\nTo be able to run the examples, demoes and exercises, you must have the\nfollowing packages installed:\n\n- numpy 1.10+\n- matplotlib 1.5+\n- ipython 4.0+ (for running, experimenting and doing exercises)\n- nose (only to test your distribution, see below)\n\nIf you use Canopy, everything you need will be installed by default. If you\nuse `conda`, you can create a new environment using the following command:\n\n    $ conda create -n numpy-tutorial python=2 numpy matplotlib nose ipython\n\nTo test your installation, please execute the `check_env.py` script. The\noutput should look something like this:\n\n    $ python check_env.py\n    ....\n    ----------------------------------------------------------------------\n    Ran 4 tests in 0.162 s\n\n    OK\n\n\n## Content needed\n\nThis GitHub repository is all that is needed in terms of tutorial content. The simplest solution is to download the material using this link:\n\nhttps://github.com/enthought/Numpy-Tutorial-SciPyConf-2016/archive/master.zip\n\nIf you're familiar with Git, you can also clone this repository with:\n\n    $ git clone https://github.com/enthought/Numpy-Tutorial-SciPyConf-2016.git\n\nIt will create a new folder named SciPy2016_numpy_tutorial/ with all the\ncontent you will need: the slides I will go through (`slides.pdf`), and a folder\nof exercises.\n\nAs you get closer to the day of the tutorial, it is highly recommended to\nupdate this repository, as I will be improving it this week. To update it, open\na command prompt, move **into** the SciPy2016_numpy_tutorial/ folder and run:\n\n    $ git pull\n\n\nQuestions? Problems?\n====================\nQuestions? Problems? Don't wait, shoot me and the rest of the group an email on\nthe tutorial mailing list: https://groups.google.com/forum/#!forum/scipy-2016-numpy-tutorial\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenthought%2Fnumpy-tutorial-scipyconf-2016","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fenthought%2Fnumpy-tutorial-scipyconf-2016","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenthought%2Fnumpy-tutorial-scipyconf-2016/lists"}