JupySQL
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Run SQL in Jupyter/IPython via a %sql and %%sql magics.
Features
- Pandas integration
- SQL composition (no more hard-to-debug CTEs!)
- Plot massive datasets without blowing up memory
- DuckDB integration
Installation
pip install jupysql
Documentation
Click here to see the documentation.
Credits
This project is a fork of ipython-sql; the objective is to turn this project into a full-featured SQL client for Jupyter. We're looking for feedback and taking feature requests, so please join our community and enter the #jupysql channel.
2 maintainers
Metadata
2 maintainers
Release files for jupysql 0.5.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| jupysql-0.5.4.tar.gz | 20.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jupysql-0.5.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 43.9 kB
Release files / jupysql-0.5.4.tar.gz
| Download URL | jupysql-0.5.4.tar.gz |
|---|---|
| Size | 20.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.15
|
Release files / jupysql-0.5.4-py3-none-any.whl
| Download URL | jupysql-0.5.4-py3-none-any.whl |
|---|---|
| Size | 23.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.15
|
Security for jupysql 0.5.4
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