SEARCHABLE ART GALLERY IN FLASK
Author: Sarah Strong
Sarah is a full stack web and mobile software developer based in Canada.
Sarah worked several years at Amazon as software development engineer. She also has experience in Academia. She was teaching assistant at the University of Toronto.
She holds a Bachelor´s degree in Computer Science.
The goal of this project is to create a Flask app that is an art search engine.
The app will take a search term and display the first result for that term from the Metropolitan Museum of Art (NY) API.
For each search term, the application must display in the browser, the title, artist and a picture of the artwork.
This project is an introduction to web frameworks and Flask in particular, which includes Jinja HTML templating, as well as python HTTP requests, parsing a JSON API, using dictionaries and exception handling.
Additionally you are given some extra ideas to improve the project final outcome.
WHAT YOU WILL LEARN
You will learn to manage different dependencies through pipenv. See here for more information about pipenv.
You will learn to call an API. That involves using the requests library, defining functions with conditionals and a bit of documentation research.
You will learn to work with dictionaries along with JSON files.
You will have to develop a web app usig the popular Flask micro framework. See here for more examples and information about Flask.
You will learn about HTML templates using the modern Jinja2 language so that you can display the query results.
CONTENT: a zip file containing:
a) Two PDF: the project instructions and guidelines to help you finish the project in case you get lost.
b) Source Code: three py files with the code including long comments explaining how the code works and links to sites that may help you understand specific topics.
c) HTML/CSS templates.
Students must know Python functions, conditionals and data structures like dictionaries.
It is advised to know about Object Oriented Programming (classes).
Specification: REAL WEB APPLICATION TO SEARCH ART WORKS (Metropolitan API)
Zip, 7z, PDF, Text
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