[Python][JS] Examples of serializing arrow from python through ipywidgets to JS

### Describe the usage question you have. Please include as many useful details as possible.

I do not know how to use ipywidgets traitlets.Bytes or even base64 encoding to generate an arrow table that will reify in JS.

lets start with Base64

```python
import pyarrow as pa
import base64
df = pd.DataFrame({'a':[10,50], 'b': ['paddy', 'margaret']})

table = pa.Table.from_pandas(df)
batch = table.to_batches()[0]
pabuffer = batch.serialize()
pabuffer

b64_table = base64.b64encode(pabuffer.to_pybytes())
print(base_64_table)
```

given the following JS code, that string doesn't reify properly
```typescript
export function base64ToBytes(base64:string) {
const binString = atob(base64);
//@ts-ignore
return Uint8Array.from(binString, (m) => m.codePointAt(0));
}

const b64bytes = base64ToBytes(base64table)
const t2 = tableFromIPC(b64bytes);
```
I get an error of `TypeError: this.schema is undefined`

I can get an arrow table to reify when I do base64 in JS and use that string.

I have made a sample repo to play with, benchmark, and document dataframe serialization. https://github.com/paddymul/df_cereal

I'm eager to collaborate and help with documentation for using arrow-js. I think it solves a lot of serialization problems for performance and typing vs json. It's a little hard to approach as is, because the docs are written for someone who understands arrow, vs someone who knows less about arrow, but wants to use it for serialization.

### Component(s)

JavaScript, Python

Start with the Python serialization snippet and the TypeScript base64ToBytes/tableFromIPC path, then compare them with the working JavaScript base64 case. Done is a documented, reproducible Python-to-JS Arrow table example covering the ipywidgets or base64 path and explaining the expected result.

Written by the indexing model from the issue text.