Jupytab allows you to explore in Tableau data which is generated dynamically by a Jupyter Notebook. You can thus create Tableau data sources in a very flexible way using all the power of Python. This is achieved by having Tableau access data through a web server created by Jupytab.
This package is an helper package to split dependencies between Jupytab server and your notebook. It only requires pandas.
The full documentation is available on the project's home page.
Release files for jupytab 0.9.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| jupytab-0.9.11.tar.gz | 5.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jupytab-0.9.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.3 kB
Release files / jupytab-0.9.11.tar.gz
| Download URL | jupytab-0.9.11.tar.gz |
|---|---|
| Size | 5.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/40.8.0.post20191107 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.8
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Release files / jupytab-0.9.11-py3-none-any.whl
| Download URL | jupytab-0.9.11-py3-none-any.whl |
|---|---|
| Size | 9.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/40.8.0.post20191107 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.8
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