chore: bump to v0.3.0

Kanaries · Aug 8, 2023 · 8efc8e4 · 8efc8e4
1 parent e4812b7
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diff --git a/README.md b/README.md
@@ -114,6 +114,9 @@ When you use pygwalker(>=0.2.0), we recommend using pygwalker by this way, more
 ```python
 df = pd.read_csv('./bike_sharing_dc.csv', parse_dates=['date'])
 walker = pyg.walk(df, spec="config.json", use_preview=True)
+
+# when pygwalker >= 0.3.0, you can use duckdb as computing engine, it can support larger datas and faster response.
+walker = pyg.walk(df, spec="config.json", use_preview=True, use_kernel_calc=True)
 ```
 
 You can use pygwalker with polars (since `pygwalker>=0.1.4.7a0`):

diff --git a/pygwalker/__init__.py b/pygwalker/__init__.py
@@ -8,7 +8,7 @@
 from pygwalker.utils.randoms import rand_str as __rand_str
 from pygwalker_utils.config import get_config as __get_config
 
-__version__ = "0.3.0a1"
+__version__ = "0.3.0"
 __hash__ = __rand_str()
 
 from pygwalker.api.walker import walk