{"id":18613988,"url":"https://github.com/enthought/numpy-tutorial-scipyconf-2017","last_synced_at":"2025-11-03T02:30:39.606Z","repository":{"id":66039661,"uuid":"95504335","full_name":"enthought/Numpy-Tutorial-SciPyConf-2017","owner":"enthought","description":"Default Repo description from terraform module","archived":false,"fork":false,"pushed_at":"2017-06-30T01:37:05.000Z","size":4849,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-12-27T02:42:48.051Z","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":null,"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":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":"2017-06-27T01:22:02.000Z","updated_at":"2021-06-01T15:57:45.000Z","dependencies_parsed_at":"2023-05-02T15:16:19.146Z","dependency_job_id":null,"html_url":"https://github.com/enthought/Numpy-Tutorial-SciPyConf-2017","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-2017","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2FNumpy-Tutorial-SciPyConf-2017/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2FNumpy-Tutorial-SciPyConf-2017/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2FNumpy-Tutorial-SciPyConf-2017/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/enthought","download_url":"https://codeload.github.com/enthought/Numpy-Tutorial-SciPyConf-2017/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":"2024-11-07T03:24:36.052Z","updated_at":"2025-11-03T02:30:39.572Z","avatar_url":"https://github.com/enthought.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SciPy2017 tutorial: Introduction to Numerical Computing with NumPy\n#### Presented by: [Dillon Niederhut](https://dillon.niederhut.us), [Enthought Inc.](https://www.enthought.com)\n\nThis repository contains all the material needed by students registered for the\nNumpy tutorial of SciPy 2017 on Tuesday, July 11th 2017.\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## Install Python\n\nIf you don't already have a working python distribution, you may download\nEnthought Canopy ([https://store.enthought.com/](https://store.enthought.com/),\nAnaconda Python ([http://continuum.io/downloads](http://continuum.io/downloads)),\nor Python.org  ([https://www.python.org/downloads/](https://www.python.org/downloads/)).\n\n\n## Install Packages\n\nTo be able to run the examples, demoes and exercises, you must have the\nfollowing packages installed:\n\n- numpy 1.11+\n- matplotlib 2.0+\n- ipython 5.0+ (for running, experimenting and doing exercises)\n\nWith Canopy, the required packages are already installed. If you are using Python from python.org or your system, you can install the necessary packages with:\n\n```sh\npip install -U numpy matplotlib ipython\n```\n\nIf you are using Anaconda, you can install the necessary packages with:\n\n```sh\nconda install numpy matplotlib ipython\n```\n\nTo test your installation, please execute the `check_env.py` script.\n\n```sh\n$ python check_env.py\n```\n\nYou should see a window pop up with a plot that looks vaguely like a smiley face.\n\n## Download Tutorial Materials\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-2017/archive/master.zip\n\nIf you're familiar with Git, you can also clone this repository with:\n\n```sh\n$ git clone https://github.com/enthought/Numpy-Tutorial-SciPyConf-2017.git\n```\n\nIt will create a new folder named SciPy2017_numpy_tutorial/ with all the\ncontent you will need: the slides I will go through (`slides.pdf`), and a folder\nof exercises.\n\n\n## Questions? Problems?\n\nYou may post messages to the slack channel for this tutorial at: [https://scipy2017.slack.com](https://scipy2017.slack.com)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenthought%2Fnumpy-tutorial-scipyconf-2017","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fenthought%2Fnumpy-tutorial-scipyconf-2017","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenthought%2Fnumpy-tutorial-scipyconf-2017/lists"}