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''' | |
author : Jaydatt Patel | |
Coursera : Data Collection and Processing with Python by University of Michigan | |
Week 3 Final Project - OMDB and TasteDive Mashup | |
''' | |
#Your first task will be to fetch data from TasteDive. The documentation for the API is at https://tastedive.com/read/api. | |
# Define a function, called get_movies_from_tastedive. It should take one input parameter, a string that is the name of a movie or music artist. The function should return the 5 TasteDive results that are associated with that string; be sure to only get movies, not other kinds of media. It will be a python dictionary with just one key, ‘Similar’. | |
# Try invoking your function with the input “Black Panther”. | |
# HINT: Be sure to include only q, type, and limit as parameters in order to extract data from the cache. If any other parameters are included, then the function will not be able to recognize the data that you’re attempting to pull from the cache. Remember, you will not need an api key in order to complete the project, because a |
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''' | |
author : Jaydatt Patel | |
Python Classes and Inheritance Course on Coursera (University of Michigan) | |
Week - 3 Project: Wheel of Fortune | |
https://runestone.academy/ns/books/published/fopp/Inheritance/chapterProject.html | |
''' |
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''' | |
author : Jaydatt Patel | |
Python Project : pillow, tesseract, and opencv Course on Coursera (University of Michigan) | |
Week - 3 Project | |
''' | |
import zipfile | |
from PIL import Image, ImageDraw | |
import pytesseract | |
import cv2 as cv | |
import numpy as np |