{"id":18613983,"url":"https://github.com/enthought/numpy-tutorial-scipyconf-2020","last_synced_at":"2025-09-16T20:55:15.816Z","repository":{"id":66039671,"uuid":"275048066","full_name":"enthought/Numpy-Tutorial-SciPyConf-2020","owner":"enthought","description":"Numpy-Tutorial-SciPyConf-2020","archived":false,"fork":false,"pushed_at":"2022-03-22T22:43:57.000Z","size":9593,"stargazers_count":29,"open_issues_count":0,"forks_count":35,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-04-11T10:58:16.343Z","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":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/enthought.png","metadata":{"files":{"readme":"README.md","changelog":"history/2020-07-07 NumPy tutorial chat log.csv","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":"2020-06-26T01:18:04.000Z","updated_at":"2024-02-26T10:46:22.000Z","dependencies_parsed_at":"2023-05-02T15:15:35.992Z","dependency_job_id":null,"html_url":"https://github.com/enthought/Numpy-Tutorial-SciPyConf-2020","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/enthought/Numpy-Tutorial-SciPyConf-2020","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2FNumpy-Tutorial-SciPyConf-2020","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2FNumpy-Tutorial-SciPyConf-2020/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2FNumpy-Tutorial-SciPyConf-2020/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2FNumpy-Tutorial-SciPyConf-2020/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/enthought","download_url":"https://codeload.github.com/enthought/Numpy-Tutorial-SciPyConf-2020/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enthought%2FNumpy-Tutorial-SciPyConf-2020/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":275483715,"owners_count":25473115,"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","status":"online","status_checked_at":"2025-09-16T02:00:10.229Z","response_time":65,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":"2024-11-07T03:24:35.540Z","updated_at":"2025-09-16T20:55:15.803Z","avatar_url":"https://github.com/enthought.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SciPy 2020 Tutorial: Introduction to Numerical Computing With NumPy\n\n#### Presented by: Eric Olsen, [Enthought, Inc.](https://www.enthought.com)\n\nThis repository contains all the material needed by students registered for the Numpy tutorial of SciPy 2020 on Tuesday, 7 July 2020.\n\nFor a smooth experience, you will need to make sure that you install or update your Python distribution and download the tutorial material _before_ the day of the tutorial.\n\n## Running the Exercises the (recommended) Easy Way\n\nRun with Binder by clicking this icon: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/enthought/Numpy-Tutorial-SciPyConf-2020/master)\n\n\n## Running the Exercise Locally\n\n### Install Python\n\nIf you don't already have a working python distribution, you may download Enthought EDM ([https://www.enthought.com/enthought-deployment-manager/](https://www.enthought.com/enthought-deployment-manager/)), Anaconda Python ([https://www.anaconda.com/products/individual](https://www.anaconda.com/products/individual)) or 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, demos and exercises, you must have the following packages installed:\n\n- numpy 1.15+\n- matplotlib 2.2+\n- ipython (for running, experimenting and doing exercises)\n- pyqt 5.7+\n\nWith Enthought EDM, install EDM, then follow the `Getting Started` instructions on the download page.  Make sure you install the required packages in your default environment:\n\n```\n$ edm install numpy matplotlib ipython pyqt5 jupyter pillow\n```\n\nIf you are using Python from python.org or your system, you can install the necessary packages with:\n\n```\n$ pip install -U numpy matplotlib ipython PyQt5 jupyter pillow\n```\n\nIf you are using Anaconda, you can create an environment with the necessary packages with:\n\n```\n$ conda create -n numpy-tutorial numpy matplotlib ipython pyqt\n```\n\nTo test your installation, please execute the `check_env.py` script in the environment where you have installed the requirements.  For example, if you installed using Enthought EDM and are using the default environment, open up a terminal (or command prompt), navigate to where you have this GitHub repository, and type:\n\n```\n$ edm shell\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-2020/archive/master.zip\n\nIf you are familiar with Git, you can also clone this repository with:\n\n```\n$ git clone https://github.com/enthought/Numpy-Tutorial-SciPyConf-2020.git\n```\n\nIt will create a new folder named `Numpy-Tutorial-SciPyConf-2020/` with all the content you will need: the slides I will go through (`slides.pdf`), and a folder of exercises.\n\n\n## Questions? Problems?\n\nYou may post messages to the `#tutorial_numpy` Slack channel for this tutorial at in the official Slack team: [https://scipy2020.slack.com](https://scipy2020.slack.com) .\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenthought%2Fnumpy-tutorial-scipyconf-2020","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fenthought%2Fnumpy-tutorial-scipyconf-2020","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenthought%2Fnumpy-tutorial-scipyconf-2020/lists"}