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.
Project details
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-0.7.8.tar.gz
(53.2 kB
view details)
Built Distribution
jupysql-0.7.8-py3-none-any.whl
(61.6 kB
view details)
File details
Details for the file jupysql-0.7.8.tar.gz
.
File metadata
- Download URL: jupysql-0.7.8.tar.gz
- Upload date:
- Size: 53.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f4fffa3a9606885f0b2a4f8076bc5fd2557c081a830157dec3e25d8ddd534ec0 |
|
MD5 | 46764ca4ead05d95021fb7e6ad1f5900 |
|
BLAKE2b-256 | b99d752c7e890e23b16af758d62e0e7a116cabcbe7b773371e6e4a7f4ad16ca8 |
File details
Details for the file jupysql-0.7.8-py3-none-any.whl
.
File metadata
- Download URL: jupysql-0.7.8-py3-none-any.whl
- Upload date:
- Size: 61.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3d49ffb9f23717a5d5c23abace7c137f0f4496b220959234346c2aaab630aec8 |
|
MD5 | 21d144673ebd84ffe6b07681f9eb90bd |
|
BLAKE2b-256 | 2efc5a7b70a20d8ebb018437a4e21066d574d4242c411b16422c9e37d58fdf88 |