diff --git a/.gitignore b/.gitignore
index 0af365d7b..5b3745a02 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,6 +2,7 @@
 __pycache__/
 
 *.pyc
+*.pyd
 *.so
 *.ipynb
 .ipynb_checkpoints
diff --git a/README.md b/README.md
index 735e080a0..d3f8170bc 100644
--- a/README.md
+++ b/README.md
@@ -312,6 +312,7 @@ Qlib data are stored in a compact format, which is efficient to be combined into
 
 
 # Related Reports
+- [Guide To Qlib: Microsoft’s AI Investment Platform](https://analyticsindiamag.com/qlib/)
 - [【华泰金工林晓明团队】微软AI量化投资平台Qlib体验——华泰人工智能系列之四十](https://mp.weixin.qq.com/s/Brcd7im4NibJOJzZfMn6tQ)
 - [微软也搞AI量化平台？还是开源的！](https://mp.weixin.qq.com/s/47bP5YwxfTp2uTHjUBzJQQ)
 - [微矿Qlib：业内首个AI量化投资开源平台](https://mp.weixin.qq.com/s/vsJv7lsgjEi-ALYUz4CvtQ)
diff --git a/examples/workflow_by_code.py b/examples/workflow_by_code.py
index b8cf3f935..ea9c70083 100644
--- a/examples/workflow_by_code.py
+++ b/examples/workflow_by_code.py
@@ -106,6 +106,11 @@ if __name__ == "__main__":
     model = init_instance_by_config(task["model"])
     dataset = init_instance_by_config(task["dataset"])
 
+    # NOTE: This line is optional
+    # It demonstrates that the dataset can be used standalone.
+    example_df = dataset.prepare("train")
+    print(example_df.head())
+
     # start exp
     with R.start(experiment_name="workflow"):
         R.log_params(**flatten_dict(task))
diff --git a/qlib/data/data.py b/qlib/data/data.py
index 020cc1c3e..cfb6db1dc 100644
--- a/qlib/data/data.py
+++ b/qlib/data/data.py
@@ -221,7 +221,11 @@ class InstrumentProvider(abc.ABC):
             _df_list = []
             # FIXME: each process will read these files
             for _path in Path(C.get_data_path()).joinpath("instruments").glob("*.txt"):
-                _df = pd.read_csv(_path, sep="\t", names=["inst", "start_datetime", "end_datetime", "save_inst"])
+                _df = pd.read_csv(
+                    _path,
+                    sep="\t",
+                    names=["inst", "start_datetime", "end_datetime", "save_inst"],
+                )
                 _df_list.append(_df.iloc[:, [0, -1]])
             df = pd.concat(_df_list, sort=False).sort_values("save_inst")
             df = df.drop_duplicates(subset=["save_inst"], keep="first").fillna(axis=1, method="ffill")
@@ -587,7 +591,11 @@ class LocalInstrumentProvider(InstrumentProvider):
         if not os.path.exists(fname):
             raise ValueError("instruments not exists for market " + market)
         _instruments = dict()
-        df = pd.read_csv(fname, sep="\t", names=["inst", "start_datetime", "end_datetime", "save_inst"])
+        df = pd.read_csv(
+            fname,
+            sep="\t",
+            names=["inst", "start_datetime", "end_datetime", "save_inst"],
+        )
         df["start_datetime"] = pd.to_datetime(df["start_datetime"])
         df["end_datetime"] = pd.to_datetime(df["end_datetime"])
         for row in df.itertuples(index=False):
@@ -1034,12 +1042,31 @@ class ClientProvider(BaseProvider):
             DatasetD.set_conn(self.client)
 
 
-Cal = Wrapper()
-Inst = Wrapper()
-FeatureD = Wrapper()
-ExpressionD = Wrapper()
-DatasetD = Wrapper()
-D = Wrapper()
+import sys
+
+if sys.version_info >= (3, 9):
+    from typing import Annotated
+
+    CalendarProviderWrapper = Annotated[CalendarProvider, Wrapper]
+    InstrumentProviderWrapper = Annotated[InstrumentProvider, Wrapper]
+    FeatureProviderWrapper = Annotated[FeatureProvider, Wrapper]
+    ExpressionProviderWrapper = Annotated[ExpressionProvider, Wrapper]
+    DatasetProviderWrapper = Annotated[DatasetProvider, Wrapper]
+    BaseProviderWrapper = Annotated[BaseProvider, Wrapper]
+else:
+    CalendarProviderWrapper = CalendarProvider
+    InstrumentProviderWrapper = InstrumentProvider
+    FeatureProviderWrapper = FeatureProvider
+    ExpressionProviderWrapper = ExpressionProvider
+    DatasetProviderWrapper = DatasetProvider
+    BaseProviderWrapper = BaseProvider
+
+Cal: CalendarProviderWrapper = Wrapper()
+Inst: InstrumentProviderWrapper = Wrapper()
+FeatureD: FeatureProviderWrapper = Wrapper()
+ExpressionD: ExpressionProviderWrapper = Wrapper()
+DatasetD: DatasetProviderWrapper = Wrapper()
+D: BaseProviderWrapper = Wrapper()
 
 
 def register_all_wrappers(C):
diff --git a/qlib/workflow/__init__.py b/qlib/workflow/__init__.py
index e65bfb03f..15faa0da1 100644
--- a/qlib/workflow/__init__.py
+++ b/qlib/workflow/__init__.py
@@ -461,5 +461,14 @@ class QlibRecorder:
         self.get_exp().get_recorder().set_tags(**kwargs)
 
 
+import sys
+
+if sys.version_info >= (3, 9):
+    from typing import Annotated
+
+    QlibRecorderWrapper = Annotated[QlibRecorder, Wrapper]
+else:
+    QlibRecorderWrapper = QlibRecorder
+
 # global record
-R = Wrapper()
+R: QlibRecorderWrapper = Wrapper()