Better SQL in Jupyter
Project description
JupySQL
Join our community | Newsletter | Contact us | Docs | Blog | Website | YouTube
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
or:
conda install jupysql -c conda-forge
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
jupysql-0.7.2.tar.gz
(41.8 kB
view details)
Built Distribution
jupysql-0.7.2-py3-none-any.whl
(48.1 kB
view details)
File details
Details for the file jupysql-0.7.2.tar.gz.
File metadata
- Download URL: jupysql-0.7.2.tar.gz
- Upload date:
- Size: 41.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 596200126198640c65e7e52069f4413d46b0091a2f53dcc5b818d5b026e798cb |
|
| MD5 | 0a190c215148fd6633278071ba89835c |
|
| BLAKE2b-256 | f02dfbbdfbbf5626011a75fd0b69c7fcc9ed16dd034c23d5290d8aad0a506de5 |
File details
Details for the file jupysql-0.7.2-py3-none-any.whl.
File metadata
- Download URL: jupysql-0.7.2-py3-none-any.whl
- Upload date:
- Size: 48.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6ee01f3f530fb0780b7a5d5b229da1efa2fb902b1fb40fbc157f365215329389 |
|
| MD5 | d8e7d13a8628ea86d5358b53c50e3be6 |
|
| BLAKE2b-256 | 599e1fce4c5a54cbbd043bf288883e50b451e599bc26299d7074a1f905b64e92 |
