update

.ipynb_checkpoints/Untitled1-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

.ipynb_checkpoints/canvas_upload-checkpoint.ipynb

@@ -0,0 +1,183 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import selenium\n",
+    "from selenium import webdriver\n",
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "file_dict = {}\n",
+    "class_dir = 'C:/Users/Will Koehrsen/Desktop/class_submissions'\n",
+    "dir_list = list(os.listdir(class_dir))\n",
+    "for directory in dir_list:\n",
+    "    file_dict[directory] = list(os.listdir(os.path.join(class_dir, directory)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'DSCI451': ['DSCI452_SemProj_Plan.txt'],\n",
+       " 'DSCI453': [],\n",
+       " 'EECS491': [],\n",
+       " 'EECS531': []}"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "file_dict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "driver = webdriver.Chrome()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open('C:/Users/Will Koehrsen/Desktop/cp.txt', 'r') as f:\n",
+    "    cp = f.read()\n",
+    "    \n",
+    "driver.get('https://canvas.case.edu')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "id_box = driver.find_element_by_name('username')\n",
+    "pass_box = driver.find_element_by_name('password')\n",
+    "login_button = driver.find_element_by_name('submit')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "id_box.send_keys('wjk68')\n",
+    "pass_box.send_keys(cp)\n",
+    "login_button.click()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "courses_button = driver.find_element_by_id('global_nav_courses_link')\n",
+    "courses_button.click()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "file = '03/09_Weekly_Update.Rmd'\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'03/09 Weekly Update'"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "file.replace('_', ' ').split('.')[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for folder, files in file_dict.items():\n",
+    "    if folder == 'DSCI451':\n",
+    "        class_select = driver.find_element_by_link_text('Applied Data Science Research')\n",
+    "    elif folder == 'DCSI453':\n",
+    "        class_select = driver.find_element_by_link_text('Data Science: Statistical Learning, Modeling and Prediction')\n",
+    "    elif folder == 'EECS491':\n",
+    "        class_select = driver.find_element_by_link_text('Artificial Intelligence: Probabilistic Graphical Models')\n",
+    "    elif folder == 'EECS531':\n",
+    "        class_select = driver.find_element_by_link_text('Computer Vision')\n",
+    "    class_select.click()\n",
+    "    assignment_button = driver.find_element_by_link_text('Assignments')\n",
+    "    assignment_button.click()\n",
+    "    for file in files:\n",
+    "        find_file = file.replace('_', ' ').split('.')[0]\n",
+    "        specific_assigment = driver.find_element_by_link_text(find_file)\n",
+    "        specific_assigment.click()\n",
+    "        submit_assignment_button = driver.find_element_by_link_text('Submit Assignment')\n",
+    "        submit_assignment_button.click()\n",
+    "        choose_file = driver.find_element_by_name('attachments[0][uploaded_data]')\n",
+    "        choose_file.send_keys('C:/Users/Will Koehrsen/Desktop/class_submissions/%s/%s' % (folder, file)).accept()\n",
+    "        final_submission_button = driver.find_element_by_link_text('Submit Assignment')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

README.md

@@ -1,4 +1,8 @@
 # Data-Analysis
-Data Analysis Using R and Python
+Data Analysis Using Python and a little R. 
 
-A place to share my code for various data analysis projects, both personal, and research project related. 
+A place to share my code and reports for various data science projects.
+
+Many of these projects are written up on my [Towards Data Science Medium page](https://medium.com/@williamkoehrsen). 
+
+Reach me on Twitter [@koehrsen_will](https://twitter.com/@koehrsen_will)