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-0.10.0.tar.gz
(71.0 kB
view details)
Built Distribution
jupysql-0.10.0-py3-none-any.whl
(83.7 kB
view details)
File details
Details for the file jupysql-0.10.0.tar.gz
.
File metadata
- Download URL: jupysql-0.10.0.tar.gz
- Upload date:
- Size: 71.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 20aa8bbfa952dfbee24b91692f3f996120d99ecee41b924dca3a8a61b4c51ff0 |
|
MD5 | dbb96ce0bf3940396259579c86d424cb |
|
BLAKE2b-256 | 41e80a78fe72d6edb278ff1aef2837e37db48141e2bf66bf7cc32b49eed0555a |
File details
Details for the file jupysql-0.10.0-py3-none-any.whl
.
File metadata
- Download URL: jupysql-0.10.0-py3-none-any.whl
- Upload date:
- Size: 83.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | beb29b39cb977e5e689442b70ed307a4a66bea1a980c45008d54091f530c3947 |
|
MD5 | c441c556eeac3f6fc31ecc97bec8fd9f |
|
BLAKE2b-256 | 158e0a48cc2cb6ffeb4ca7c46f4c3e7dafe3ce461da5d5ec7650fe3e9e648f45 |