movietopia
cinemagoer
| movietopia | cinemagoer | |
|---|---|---|
| 1 | 3 | |
| 1 | 1,195 | |
| - | 0.9% | |
| 3.2 | 7.1 | |
| about 3 years ago | about 2 months ago | |
| Python | Python | |
| - | GNU General Public License v3.0 only |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
movietopia
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Creating an autocomplete search form (probably w/ jQuery) using a comprehensive (huge) movie title list (Django project) from IMDBPy
I am in the early stages of retrieving IMDB data via the Python package IMDBPy (their site) (project github). I have been referring to this nice IMDBpy implementation for help with aspects of what I'm doing here. Several of the queries that I'm using generate datasets that come in "nested dictionary" form, e.g. 'movie_1':{'title':'One Flew Over the Cuckoo's Nest', 'director': 'Milos Forman'...}. My early version of the title retrieval takes this form in VIEWS.PY: def index(request): imdb = IMDb() test_movies = {} for i in range(1100000, 1100015): test_movies[f'movie_{i}'] = imdb.get_movie(f'{i}') context = { 'test_movies':test_movies, } return render(request, 'index.html', context)
cinemagoer
- [OC]IMDB Top 30 movies: cast death rate
- I have created a program to keep track of the movies I watch this year with Tkinter and Sqlite3
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Creating an autocomplete search form (probably w/ jQuery) using a comprehensive (huge) movie title list (Django project) from IMDBPy
I am in the early stages of retrieving IMDB data via the Python package IMDBPy (their site) (project github). I have been referring to this nice IMDBpy implementation for help with aspects of what I'm doing here. Several of the queries that I'm using generate datasets that come in "nested dictionary" form, e.g. 'movie_1':{'title':'One Flew Over the Cuckoo's Nest', 'director': 'Milos Forman'...}. My early version of the title retrieval takes this form in VIEWS.PY: def index(request): imdb = IMDb() test_movies = {} for i in range(1100000, 1100015): test_movies[f'movie_{i}'] = imdb.get_movie(f'{i}') context = { 'test_movies':test_movies, } return render(request, 'index.html', context)
What are some alternatives?
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TIMDB - The Indian Movie Database - supports content-based and collaborative filtering techniques
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