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Merge pull request #1021 from ripple/update-serialization-py-link

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Add links to python and java libs
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Rome Reginelli
2021-04-08 19:19:22 -07:00
committed by GitHub
parent 1ed5de6514 86564cd37e
commit 11b7623beb
2 changed files with 9 additions and 0 deletions
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5
content/_snippets/libs-snippet.md Normal file
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@@ -0,0 +1,5 @@
| Language | Library Name | Get Started | API Reference | Source Code |
|----------|--------------|-------------|---------------|-------------|
| **Python** | `xrpl-py` | [Get Started](get-started-using-python.html) | [API Reference](https://xrpl-py.readthedocs.io/) | [Repo](https://github.com/XRPLF/xrpl-py) |
| **JavaScript** / **TypeScript** | `ripple-lib` | [Get Started](get-started-with-rippleapi-for-javascript.html) | [API Reference](rippleapi-reference.html) | [Repo](https://github.com/ripple/ripple-lib) |
| **Java** | `xrpl4j` | [README](https://github.com/XRPLF/xrpl4j#readme) | [API Reference](https://github.com/XRPLF/xrpl4j/tree/main/xrpl4j-integration-tests) | [Repo](https://github.com/XRPLF/xrpl4j) |

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content/references/rippled-api/api-conventions/serialization.md
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@@ -47,6 +47,10 @@ The serialization processes described here are implemented in multiple places an
- In JavaScript in the [`ripple-binary-codec`](https://github.com/ripple/ripple-binary-codec/) package. - In JavaScript in the [`ripple-binary-codec`](https://github.com/ripple/ripple-binary-codec/) package.
- In Python 3 in [this repository's code samples section]({{target.github_forkurl}}/blob/{{target.github_branch}}/content/_code-samples/tx-serialization/serialize.py). - In Python 3 in [this repository's code samples section]({{target.github_forkurl}}/blob/{{target.github_branch}}/content/_code-samples/tx-serialization/serialize.py).
Additionally, the following libraries also provide serialization support:
{% include '_snippets/libs-snippet.md' %}
These implementations are all provided with permissive open-source licenses, so you can import, use, or adapt the code for your needs in addition to using it alongside these documents for learning purposes. These implementations are all provided with permissive open-source licenses, so you can import, use, or adapt the code for your needs in addition to using it alongside these documents for learning purposes.