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-0.7.5.tar.gz
(43.1 kB
view details)
Built Distribution
jupysql-0.7.5-py3-none-any.whl
(50.0 kB
view details)
File details
Details for the file jupysql-0.7.5.tar.gz
.
File metadata
- Download URL: jupysql-0.7.5.tar.gz
- Upload date:
- Size: 43.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2474efa4a4b5bbb849fbdef9fa33514ef081a0ff043f1e9c626791e53bb93094 |
|
MD5 | 5e889d1313242081fe377fac4debf099 |
|
BLAKE2b-256 | 35a5285bd136cce7e5832e0dc77f902b6acf9ea72eacc72cec31a35abd7fb6a4 |
File details
Details for the file jupysql-0.7.5-py3-none-any.whl
.
File metadata
- Download URL: jupysql-0.7.5-py3-none-any.whl
- Upload date:
- Size: 50.0 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 | 3323a9e88f02c1976673d87e09c4821e7199b57a583b1dee8e58d76739a21e2d |
|
MD5 | f59f91ef6c510448bd3837a352469c93 |
|
BLAKE2b-256 | f88e8b145ec1f3b08007198676317a0b46aeabe7b1732bb26072a3e357383cca |