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openai

openai-cookbook

GitHub describes it as Examples and guides for using the OpenAI API. The repository metadata lists Jupyter Notebook as its primary language. The metadata lists the MIT license. This article stays within the project description and details documented in the GitHub repository README.

75,226 stars12,719 forksJupyter NotebookMIT
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DEEP OPEN-SOURCE ANALYSIS

openai/openai-cookbook: README details

GitHub describes it as Examples and guides for using the OpenAI API. The repository metadata lists Jupyter Notebook as its primary language. The metadata lists the MIT license. This article stays within the project description and details documented in the GitHub repository README.

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DEEP OPEN-SOURCE ANALYSIS

Repository scope

GitHub describes it as Examples and guides for using the OpenAI API. The repository metadata lists Jupyter Notebook as its primary language. The metadata lists the MIT license. The README describes the project this way: Example code and guides for accomplishing common tasks with the OpenAI API. To run these examples, you'll need an OpenAI account and associated API key (create a free account here). Set an environment variable called OPENAI API KEY with your API key. Alternatively, in most IDEs such as Visual Studio Code, you can create an .env file at the root of your repo containing OPENAI API KEY= , which will be picked up by the notebooks.

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DEEP OPEN-SOURCE ANALYSIS

README details

The README section "README details" states: Most code examples are written in Python, though the concepts can be applied in any language.

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DEEP OPEN-SOURCE ANALYSIS

README details

The README section "README details" states: For other useful tools, guides and courses, check out these related resources from around the web.

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DEEP OPEN-SOURCE ANALYSIS

Editorial conclusion

The repository README is the source for this review. It does not replace a local installation or an independent test.

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DEEP OPEN-SOURCE ANALYSIS

Official sources

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Community notes

Community notes