DOC: add readme

README.md

@@ -1 +1,64 @@
-# xorbits_sql
+<div align="center">
+<img src="./assets/xorbits-logo.png" width="180px" alt="xorbits" />
+
+# Xorbits SQL: made pandas and SQL APIs work seamlessly together
+
+[![PyPI Latest Release](https://img.shields.io/pypi/v/xorbits_sql.svg?style=for-the-badge)](https://pypi.org/project/xorbits_sql/)
+[![License](https://img.shields.io/pypi/l/xorbits_sql.svg?style=for-the-badge)](https://github.com/xorbitsai/xorbits_sql/blob/main/LICENSE)
+[![Build Status](https://img.shields.io/github/actions/workflow/status/xorbitsai/xorbits_sql/python.yaml?branch=main&style=for-the-badge&label=GITHUB%20ACTIONS&logo=github)](https://actions-badge.atrox.dev/xorbitsai/xorbits_sql/goto?ref=main)
+[![Slack](https://img.shields.io/badge/join_Slack-781FF5.svg?logo=slack&style=for-the-badge)](https://join.slack.com/t/xorbitsio/shared_invite/zt-1o3z9ucdh-RbfhbPVpx7prOVdM1CAuxg)
+[![Twitter](https://img.shields.io/twitter/follow/xorbitsio?logo=twitter&style=for-the-badge)](https://twitter.com/xorbitsio)
+
+Xorbits SQL provides a SQL interface built on [Xorbits](https://github.com/xorbitsai/xorbits), 
+allowing you to fluidly combine pandas and SQL to solve problems using the most familiar interface.
+</div>
+<br />
+
+<div align="center">
+<i><a href="https://join.slack.com/t/xorbitsio/shared_invite/zt-1z3zsm9ep-87yI9YZ_B79HLB2ccTq4WA">👉 Join our Slack community!</a></i>
+</div>
+
+## Key features
+
+🌟 **Pandas and SQL APIs in one**: The popular pandas and SQL APIs now work seamlessly together.
+
+⚡️**Out-of-core and distributed capabilities**: Thanks to the underlying Xorbits execution engine, 
+out-of-core and distributed runtimes are natively supported.
+
+🔌 Mainstream SQL dialects compatible**: By leveraging [SQLGlot](https://github.com/tobymao/sqlglot) as the SQL parser, 
+Xorbits SQL is compatible with many dialects including DuckDB, Presto, Spark, Snowflake, and BigQuery.
+
+## Getting Started
+Xorbits SQL can be installed via pip from PyPI. It is highly recommended to create a new virtual
+environment to avoid conflicts.
+
+### Installation
+```bash
+$ pip install "xorbits_sql"
+```
+
+### Quick Start
+
+Xorbits SQL provides a single API `execute` which will return an Xorbits DataFrame.
+
+```python
+import xorbits.pandas as pd
+import xorbits_sql as xsql
+
+df = pd.DataFrame({"a": [1, 2, 3], "b": ['a', 'b', 'a']})
+# SQL
+sql = """
+select b, AVG(a) as result
+from t
+group by b
+"""
+df2 = xsql.execute(
+    sql,
+    dialect=None,     # replace with dialect, e.g. "duckdb"
+    tables={'t': df}  # table name to Xorbits DataFrame
+)
+print(df2)
+```
+
+## License
+[Apache 2](LICENSE)

setup.py

@@ -39,4 +39,4 @@ def build_long_description():
     long_description=build_long_description(),
     long_description_content_type="text/markdown",
 )
-setup(**setup_options)
+setup(**setup_options)