> For the complete documentation index, see [llms.txt](https://docs.oceanprotocol.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.oceanprotocol.com/data-scientists/ocean.py.md).

# Ocean.py

Python library to privately & securely publish, exchange, and consume data.

[Ocean.py](https://github.com/oceanprotocol/ocean.py) helps data scientists earn $ from their AI models, track provenance of data & compute, and get more data. (More details [here](/data-scientists.md).)

Ocean.py makes these tasks easy:

* **Publish** data services: data feeds, REST APIs, downloadable files or compute-to-data. Create an ERC721 **data NFT** for each service, and ERC20 **datatoken** for access (1.0 datatokens to access).
* **Sell** datatokens via for a fixed price. Sell data NFTs.
* **Transfer** data NFTs & datatokens to another owner, and all other ERC721 & ERC20 actions using web3.

As a Python library, Ocean.py is built for the key environment of data scientists. It that can simply be imported alongside other Python data science tools like numpy, matplotlib, scikit-learn and tensorflow.

<figure><img src="https://932814818-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FzQlpIJEeu8x5yl0OLuXn%2Fuploads%2Fgit-blob-9becf0ac9ffceccb30c0ddeb64ed5b8c0c3d2be1%2Focean_py.png?alt=media" alt="" width="375"><figcaption></figcaption></figure>

### Quickstart 🚀

Follow these steps in sequence to ramp into Ocean.

1. [Install Ocean](/data-scientists/ocean.py/install.md) 📥
2. Setup 🛠️
   * [Remote ](/data-scientists/ocean.py/remote-setup.md)(Win, MacOS, Linux)
   * or [Local ](/data-scientists/ocean.py/local-setup.md)(Linux only)
3. [Publish asset](/data-scientists/ocean.py/publish-flow.md), post for free / for sale, dispense it / buy it, and [consume ](/data-scientists/ocean.py/consume-flow.md)it
4. Run algorithms through [Compute-to-Data flow](/data-scientists/ocean.py/compute-flow.md) using Ocean environment.

After these quickstart steps, the main [README](https://github.com/oceanprotocol/ocean.py/blob/main/README.md) points to several other use cases, such as [Volume Data Farming](https://github.com/oceanprotocol/ocean.py/blob/main/READMEs/df.md), on-chain key-value stores ([public](https://github.com/oceanprotocol/ocean.py/blob/main/READMEs/key-value-public.md) or [private](https://github.com/oceanprotocol/ocean.py/blob/main/READMEs/key-value-private.md)), and other types of data assets ([REST API](https://github.com/oceanprotocol/ocean.py/blob/main/READMEs/publish-flow-restapi.md), [GraphQL](https://github.com/oceanprotocol/ocean.py/blob/main/READMEs/publish-flow-graphql.md), [on-chain](https://github.com/oceanprotocol/ocean.py/blob/main/READMEs/publish-flow-onchain.md)).


---

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