mid writeup

_notebooks/2024-04-17-DataStructureWriteUp.ipynb

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+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "comments: true\n",
+    "layout: post\n",
+    "title: Data Structure Write Up\n",
+    "description: This is a pre-requisite prior to answering the college board questions that have been posted to AP Classroom.\n",
+    "type: hacks\n",
+    "courses: { csp: {week: 10} }\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "----------------------------------------------------------------------\n",
+    "1) Blog Python Model code and SQLite Database.\n",
+    "\n",
+    "- From VSCode using SQLite3 Editor, show your unique collection/table in database, display rows and columns in the table of the SQLite database.\n",
+    "This database basically stores messages users write in the journal feature of my group's old CPT project, which we integrated with the Trimester 3 project. \n",
+    "![Image](https://github.com/nighthawkcoders/teacher_portfolio/assets/75818107/8b8b0108-77e1-41e6-b634-b9929f33cfeb)\n",
+    "\n",
+    "\n",
+    "\n",
+    "- From VSCode model, show your unique code that was created to initialize table and create test data.\n",
+    "The table above was created from journal-messages. The function journal-messages includes what is shown below. This code collects the users responses and then stores it in the sqlite database found at journal-messages.\n",
+    "![Image](https://github.com/nighthawkcoders/teacher_portfolio/assets/75818107/6fa85e71-7302-4a26-964f-1894eed01584)\n",
+    "\n",
+    "\n",
+    "2) Blog Python API code and use of List and Dictionaries.\n",
+    "\n",
+    "- In VSCode using Debugger, show a list as extracted from database as Python objects.\n",
+    "\n",
+    "\n",
+    "- In VSCode use Debugger and list, show two distinct example examples of dictionaries, show Keys/Values using debugger.\n",
+    "\n",
+    "\n",
+    "3) Blog Python API code and use of Postman to request and respond with JSON.\n",
+    "\n",
+    "- In VSCode, show Python API code definition for request and response using GET, POST, UPDATE methods. Discuss algorithmic condition used to direct request to appropriate Python method based on request method.\n",
+    "\n",
+    "\n",
+    "- In VSCode, show algorithmic conditions used to validate data on a POST condition.\n",
+    "\n",
+    "- In Postman, show URL request and Body requirements for GET, POST, and UPDATE methods.\n",
+    "\n",
+    "- In Postman, show the JSON response data for 200 success conditions on GET, POST, and UPDATE methods.\n",
+    "\n",
+    "- In Postman, show the JSON response for error for 400 when missing body on a POST request.\n",
+    "\n",
+    "- In Postman, show the JSON response for error for 404 when providing an unknown user ID to a UPDATE request.\n",
+    "\n",
+    "\n",
+    "Frontend\n",
+    "\n",
+    "Blog JavaScript API fetch code and formatting code to display JSON.\n",
+    "\n",
+    "In Chrome inspect, show response of JSON objects from fetch of GET, POST, and UPDATE methods.\n",
+    "In the Chrome browser, show a demo (GET) of obtaining an Array of JSON objects that are formatted into the browsers screen.\n",
+    "In JavaScript code, describe fetch and method that obtained the Array of JSON objects.\n",
+    "In JavaScript code, show code that performs iteration and formatting of data into HTML.\n",
+    "In the Chrome browser, show a demo (POST or UPDATE) gathering and sending input and receiving a response that show update. Repeat this demo showing both success and failure.\n",
+    "In JavaScript code, show and describe code that handles success. Describe how code shows success to the user in the Chrome Browser screen.\n",
+    "In JavaScript code, show and describe code that handles failure. Describe how the code shows failure to the user in the Chrome Browser screen.\n",
+    "Optional/Extra, Algorithm Analysis\n",
+    "\n",
+    "In the ML projects, there is a great deal of algorithm analysis. Think about preparing data and predictions.\n",
+    "\n",
+    "Show algorithms and preparation of data for analysis. This includes cleaning, encoding, and one-hot encoding.\n",
+    "Show algorithms and preparation for predictions.\n",
+    "Discuss concepts and understanding of Linear Regression algorithms.\n",
+    "Discuss concepts and understanding of Decision Tree analysis algorithms."
+   ]
+  }
+ ],
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+   "name": "python"
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