diff --git a/content/concepts/tools.md b/content/concepts/tools.md index 31b9c348..57152609 100644 --- a/content/concepts/tools.md +++ b/content/concepts/tools.md @@ -5,24 +5,29 @@ description: Tools and examples for developing with Ocean Protocol. ## Tools -[Plecos](https://github.com/oceanprotocol/plecos) is a Python tool to check metadata (a JSON file) to see if it conforms to the [OEP8 schema](https://github.com/oceanprotocol/OEPs/tree/master/8). Plecos wraps the [jsonschema](https://github.com/Julian/jsonschema) validator. +### Plecos -Users can use Plecos to check their metadata before sending it to an Aquarius instance. Plecos is manually updated with a schema file according to [OEP8](https://github.com/oceanprotocol/OEPs/tree/master/8). Find the tool in [PyPI](https://pypi.org/project/plecos/). - -Plecos can be used in a microservice to facilitate data onboarding, as described in the [plecos_service](https://github.com/oceanprotocol/plecos_service) repository. +Plecos is a Python tool to check metadata (a JSON file) to see if it conforms to the [OEP8 schema](https://github.com/oceanprotocol/OEPs/tree/master/8). Plecos wraps the [jsonschema](https://github.com/Julian/jsonschema) validator. Users can use Plecos to check their metadata before sending it to an Aquarius instance. Aquarius can also use it to check metadata. Plecos can be found in [the Plecos repository on GitHub](https://github.com/oceanprotocol/plecos) and as [a Python package in PyPI](https://pypi.org/project/plecos/). +Plecos can be used in a microservice to facilitate data onboarding, as described in the [plecos_service repository](https://github.com/oceanprotocol/plecos_service). + ## Examples -The [Tutorials](/tutorials/introduction/) include many examples. +### squid-py Examples -Examples of using the [🦑 squid-py](https://github.com/oceanprotocol/squid-js) Python library can be found in the [squid_py/examples/ directory of the squid-py repository](https://github.com/oceanprotocol/squid-py/tree/develop/squid_py/examples). More examples are in the repositories: +- [The squid-py tutorials in Jupyter notebooks](/tutorials/jupyter-notebooks/) +- [The squid_py/examples/ directory of the squid-py repository](https://github.com/oceanprotocol/squid-py/tree/develop/squid_py/examples) +- [The squid-py tests](https://github.com/oceanprotocol/squid-py/tree/develop/tests) - - +### squid-js Examples -Examples of using the [🦑 squid-js](https://github.com/oceanprotocol/squid-js) JavaScript library can be found in the [src/examples/ directory of the squid-js repository](https://github.com/oceanprotocol/squid-js/tree/develop/src/examples). More examples are in the repositories: +- [The React App Tutorial](/tutorials/react-setup/) +- [The src/examples/ directory of the squid-js repository](https://github.com/oceanprotocol/squid-js/tree/develop/src/examples) +- [The squid-js tests](https://github.com/oceanprotocol/squid-js/tree/develop/test) - - +### squid-java Examples + +- [The squid-java README.md file](https://github.com/oceanprotocol/squid-java/blob/develop/README.md) +- [The squid-java tests](https://github.com/oceanprotocol/squid-java/tree/develop/src/test) diff --git a/content/tutorials/introduction.md b/content/tutorials/introduction.md index 076bad1c..be9fb842 100644 --- a/content/tutorials/introduction.md +++ b/content/tutorials/introduction.md @@ -3,9 +3,4 @@ title: Overview of the Tutorials description: What you can expect to find in these Ocean Protocol tutorials. --- -The idea of these tutorials is to show you how to use squid-js (JavaScript), squid-py (Python) and squid-java to: - -- publish a data set -- get and use a data set -- publish a compute service -- get and use a compute service +The idea of these tutorials is to show you how to use squid-js (JavaScript), squid-py (Python) and squid-java to publish a data set, to get & use a data set, and to do other things. diff --git a/content/tutorials/jupyter-notebooks.md b/content/tutorials/jupyter-notebooks.md index 450f935c..5b8e50ca 100644 --- a/content/tutorials/jupyter-notebooks.md +++ b/content/tutorials/jupyter-notebooks.md @@ -16,4 +16,7 @@ It's quite easy to figure out, but if you get stuck, here are some initial steps - When asked to select a kernel, select Python 3. - To make stuff happen (e.g. to run code cells), use the menus at the top of the JupyterLab console, or at the top of your current Jupyter notebook. -For more info, see the blog post titled, "[Project Manta Ray — Data Science powered by Ocean Protocol](https://blog.oceanprotocol.com/project-manta-ray-data-science-powered-by-ocean-protocol-535c54089b0f)." +For more info, see the blog posts: + +- "[Project Manta Ray — Data Science powered by Ocean Protocol](https://blog.oceanprotocol.com/project-manta-ray-data-science-powered-by-ocean-protocol-535c54089b0f)" +- "[The Data Science Workflow — Powered by Ocean Protocol](https://blog.oceanprotocol.com/dive-into-ocean-protocol-ai-ecosystem-60f64eddf74d)"