ENSF592- Assignment 6 Solved

📚 Learning Outcomes
 Create a simple Flask application with multiple routes
Scrape and parse data from a single web page
Store and manipulate data within a DataFrame
Print a DataFrame object to a webpage
 💻 Program Specifications
 Follow along with the Lab 12 demonstration. The demo program is a collaborative effort between Garth Johnson and Emily Marasco, and is used with permission. Before submitting your files, you must complete the following tasks:

 Change "STUDENT NAME" to your own name in the code.
Follow the "/hello/" route by entering your own name. Take a screenshot of the display.
Modify the book table to display a new column with the sale price (reduced by 25%). Submit a screenshot of the modified table being displayed.
Create a new route "/learn" that displays one thing that you learned in ENSF 592. Submit a screenshot of your answer being displayed.
Your submitted code must match your provided screenshots.
Your code will be run by the instructor/TAs as your end user.
FAQs about the assignment will be answered in Lab 12 and on the D2L discussion boards. Please check the boards for any clarifications before submitting.
The grading rubric will be posted to D2L.
 To run your web application: MAC/Linux

 Make sure you are working in the correct directory
export FLASK_ENV=development
export FLASK_APP=web_data_app.py
flask run
 Windows

 Make sure you are working in the correct directory
set FLASK_ENV=development
set FLASK_APP=web_data_app.py
flask run
 Exporting the FLASK_ENV as development enables some nice features that you can explore later on (see Visual Studio's Run the App Debugger page for more info on how to setup/use it from within VS), and disables some anoying reminders to NOT use this in 'production' without a proper WSGI (or similar interface).

 Once the application is running, browse the local system on port 5000 (typically http://localhost:5000/). When you do, you should see the friendly message "Hello World!" in your browser and the following in the terminal where the application is running: ❯ flask run * Serving Flask app "webdataapp.py" (lazy loading) * Environment: development * Debug mode: on * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit) * Restarting with stat * Debugger is active! * Debugger PIN: 290-425-530 127.0.0.1 - - [25/Apr/2021 12:04:00] "GET / HTTP/1.1" 200 - 127.0.0.1 - - [25/Apr/2021 12:04:01] "GET /favicon.ico HTTP/1.1" 404 -

 If you followed the ENSF 592 installation guidelines, you should have all the necessary modules ready to go. If you encounter issues, run the requirements file using pip install -r requirements.txt to ensure you have the correct versions necessary. Make sure you are in your assignment working directory and your ENSF 592 virtual environment.

 📝 Assignment Tasks
 If you weren't able to attend the June 15th lab, be sure to watch the recording and follow along.
Clone this repository to your local computer.
Open VSCode and start a new terminal. Make sure that your ensf592 environment is activated.
web_data_app.py is provided as a starting point. Add your name to the header.
Remember to test your program execution via the terminal: run flask
Fulfill the tasks above and upload the successful execution screenshots to your assignment repository.
Commit your screenshots and code.
Push your local git history to github: git push origin main
Submit your repository HTTPS link to the Assignment 6 D2L dropbox.
Tip: If you want to learn more about a specific aspect of Python or Flask, remember to take a look at the official documentation!
 📚 Developer Comments
 First off, much of this is inspired by RealPython and various other sites, pages, and people encountered through the teaching and learning process. This is a basic 'quick n simple' Python-Flask application tutorial written for general usage of Python/Flask. This will help a new (but probably not noob) Pythonista learn how to set up a basic web server application in Python with Flask running on a local server, and assumes that the the developer is using Visual Studio Code as their IDE of choice. Flask is a Model-View-Controller (MVC) framework (see this page for some insight to what MVC is and isn't, and also Real Python's MVC Explained page for more details. If you'd like to try scraping more websites, take a look at http://toscrape.com/ If you'd like to expand on the book catalog example (without Flask), take a look at this link: https://towardsdatascience.com/a-really-gentle-introduction-to-web-scraping-in-python-83cb9e536db8