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Retrieval and Extraction from Big Data SourcesOutline1. Information Sources, Retrieval and Extraction 2. Connecting to big data sources via API 3. Retrieving information from websites (web scraping)Outline1.
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To fill out forget apis do python, follow these steps:
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Start by importing the necessary libraries for making API requests in Python. You can use the 'requests' library for this.
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Create a variable to store the API endpoint URL that you want to connect to.
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Use the 'requests.get()' method to send a GET request to the API endpoint.
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Handle the response returned by the API by checking for the status code. If it's a successful response (status code 200), you can extract the data using the response's 'json()' method.
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Parse the extracted data as required and use it in your Python program.
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Remember to handle any errors or exceptions that may occur during the API request or data processing.
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Finally, ensure you close the connection to the API endpoint to free up resources by calling the 'requests.close()' method.

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Forget APIs in Python are used to request the system to remove stored information about a particular user or data.
Developers or companies that handle personal data of individuals and are required to comply with data protection regulations.
Forget APIs can be filled out by sending a request to the backend system with the necessary parameters identifying the data to be forgotten.
The purpose of forget APIs in Python is to allow users to request the deletion of their personal data from a system's database.
Information such as the user's identification details, the specific data to be forgotten, and any additional information required for verification purposes.
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