- Best AI Text Generators for High Quality Content Writing
- Tensorflow Error on Macbook M1 Pro - NotFoundError: Graph execution error
- How does GPT-like transformers utilize only the decoder to do sequence generation?
- How to set all tensors to cuda device?
- How should I use torch.compile properly?
- How do I check if PyTorch is using the GPU?
- WARNING:tensorflow:Using a while_loop for converting cause there is no registered converter for this op
- How to use OneCycleLR?
- Error in Python script "Expected 2D array, got 1D array instead:"?
- How to save model in .pb format and then load it for inference in Tensorflow?
- Top 6 AI Logo Generator Up Until Now- Smarter Than Midjourney
- Best 9 AI Story Generator Tools
- The Top 6 AI Voice Generator Tools
- Best AI Low Code/No Code Tools for Rapid Application Development
- YOLOV8 how does it handle different image sizes
- Best AI Tools For Email Writing & Assistants
- 8 Data Science Competition Platforms Beyond Kaggle
- Data Analysis Books that You Can Buy
- Robotics Books that You Can Buy
- Data Visualization Books that You can Buy
How to Extract Data from tmdB using Python
To extract data from The Movie Database (TMDB) using Python, you can use the TMDB API (Application Programming Interface). The API allows you to retrieve information about movies, TV shows, and people from TMDB.
Here is an example of how you can use the TMDB API and Python to extract data:
1. Sign up for a TMDB API key by creating an account on the TMDB website (https://www.themoviedb.org/).
2. Install the requests library in Python using pip install requests. This library allows you to send HTTP requests using Python.
3. Import the requests library and use it to send a GET request to the TMDB API. The API requires that you specify an API key and the type of data you want to retrieve (e.g., movies, TV shows, people).
api_key = 'your_api_key'
response = requests.get('https://api.themoviedb.org/3/movie/550?api_key=' + api_key)
data = response.json()
This example sends a GET request to the TMDB API to retrieve information about the movie with ID 550 (which is "Fight Club"). The response from the API is in JSON format, which you can parse using the json() method of the response object.
You can then access the data in the data dictionary, using keys such as title, overview, and release_date to retrieve information about the movie.