{ "cells": [ { "metadata": { "toc": true }, "cell_type": "markdown", "source": "

Table of Contents

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" }, { "metadata": {}, "cell_type": "markdown", "source": "## Anaconda Installation for Windows" }, { "metadata": {}, "cell_type": "markdown", "source": "* Visit the Anaconda download page \nGo to the following link: [Anaconda.com/downloads](https://www.anaconda.com/download/) \nThe Anaconda Downloads Page will look something like this: \n![Imgur](https://i.imgur.com/mWbsPTA.png) \n\n* Select the Windows \nSelect Windows where the three opperating systems are listed. \n![Imgur](https://i.imgur.com/MYrJYwb.png)\n\n* Download \nDownload the Python 3.6 distribution. Python 2.7 is legacy Python. For undergraduate engineers, select the Python 3.6 version. \n\n![Imgur](https://i.imgur.com/N1GngpX.png)\n\nYou may be prompted to enter your email. You can still download Anaconda if you click **No Thanks** and don't enter your Work Email address. \n\n![Imgur](https://i.imgur.com/VfgJNUa.png)\n\nThe download is quite large (over 500 MB) so it may take a while for the download to complete. \n\n* Double-click the installation file. \n![Imgur](https://i.imgur.com/6ZG0Bwq.png)\n\n* Click Next. \n![Imgur](https://i.imgur.com/bV8fNtz.jpg)\n* Click I Agree if you agree to the licensing agreement. \n\n\n* Choose one of the installation types and then click Next. \n![Imgur](https://i.imgur.com/FeTLdQf.jpg)\n\n* Choose an installation location (if necessary) and then click Next. \n![Imgur](https://i.imgur.com/tkMG1yj.jpg)\n\n* Change the advanced installation options (if necessary) and then click Install. \n\n![Imgur](https://i.imgur.com/VM1v9MG.jpg)\n\n* Click Next. \nThe wizard tells you that the installation is complete.\n\n* Click Finish. \nYou’re ready to begin using Anaconda." }, { "metadata": {}, "cell_type": "markdown", "source": "## Launch RStudio from Navigator." }, { "metadata": {}, "cell_type": "markdown", "source": "![Imgur](https://i.imgur.com/dmnz5Md.png)" }, { "metadata": {}, "cell_type": "markdown", "source": "* Important panes/sections from R-Studio" }, { "metadata": {}, "cell_type": "markdown", "source": "![Imgur](https://i.imgur.com/jHEgT57.png)" }, { "metadata": {}, "cell_type": "markdown", "source": "* **Script or Coding** \n![Imgur](https://i.imgur.com/ADIIi8Q.png)" }, { "metadata": {}, "cell_type": "markdown", "source": "* **Console**\n![Imgur](https://i.imgur.com/sOZ0XTt.png)" }, { "metadata": {}, "cell_type": "markdown", "source": "* **Environment & Variables**\n![Imgur](https://i.imgur.com/tHWtjY4.png)" }, { "metadata": {}, "cell_type": "markdown", "source": "* **Help & Documentation**\n![Imgur](https://i.imgur.com/Ms6yRvR.png)" }, { "metadata": {}, "cell_type": "markdown", "source": "* **Plots**\n![Imgur](https://i.imgur.com/b6EElUf.png)" }, { "metadata": {}, "cell_type": "markdown", "source": "## R kernel for Jupyter Notebook" }, { "metadata": {}, "cell_type": "markdown", "source": "**Requirements:** https://irkernel.github.io/requirements/ \n**\"R Essentials\" setup:** https://anaconda.org/chdoig/jupyter-and-conda-for-r/notebook \n**Running the notebook:** https://irkernel.github.io/running/ " }, { "metadata": {}, "cell_type": "markdown", "source": "## Anaconda Installation for all operating systems" }, { "metadata": {}, "cell_type": "markdown", "source": "Operating System | Blog Post | Youtube Video\n--- | --- | ---\nMac | [Install Anaconda on Mac](https://medium.com/@GalarnykMichael/install-python-on-mac-anaconda-ccd9f2014072#.lvhw2gt3k \"Install Anaconda on Mac\") | [Youtube Video](https://www.youtube.com/watch?v=B6d5LrA8bNE \"Youtube Video\")\nWindows | [Install Anaconda on Windows](https://medium.com/@GalarnykMichael/install-python-on-windows-anaconda-c63c7c3d1444#.66f7y3whf) | [Youtube Video](https://www.youtube.com/watch?v=dgjEUcccRwM)\nUbuntu | [Install Anaconda on Ubuntu](https://medium.com/@GalarnykMichael/install-python-on-ubuntu-anaconda-65623042cb5a#.4kwsp0wjl) | [Youtube Video](https://www.youtube.com/watch?v=jo4RMiM-ihs)\nAll | [Environment Management with Conda (Python 2 + 3, Configuring Jupyter Notebooks)](https://medium.com/towards-data-science/environment-management-with-conda-python-2-3-b9961a8a5097) | [Youtube Video](https://www.youtube.com/watch?v=rFCBiP9Gkoo)" }, { "metadata": {}, "cell_type": "markdown", "source": "## Data Scienc Process: Crisp-DM workflow" }, { "metadata": {}, "cell_type": "markdown", "source": "\"drawing\"" }, { "metadata": {}, "cell_type": "markdown", "source": "\"drawing\"" }, { "metadata": {}, "cell_type": "markdown", "source": "![Imgur](https://i.imgur.com/JOJSFd7.jpg)\n" } ], "metadata": { "kernelspec": { "name": "python3", "display_name": "Python 3", "language": "python" }, "language_info": { "mimetype": "text/x-python", "nbconvert_exporter": "python", "name": "python", "pygments_lexer": "ipython3", "version": "3.5.4", "file_extension": ".py", "codemirror_mode": { "version": 3, "name": "ipython" } }, "toc": { "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "base_numbering": 1, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": true, "toc_position": {}, "toc_section_display": "block", "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 2 }