Add docs/developer/code_standard_and_dev_guide.rst to index.rst

Author: MaximSmolskiy

qlib/data/dataset/handler.py

@@ -326,19 +326,23 @@ class DataHandlerLP(DataHandler):
     DataHandler with **(L)earnable (P)rocessor**
 
     This handler will produce three pieces of data in pd.DataFrame format.
+
     - DK_R / self._data: the raw data loaded from the loader
     - DK_I / self._infer: the data processed for inference
     - DK_L / self._learn: the data processed for learning model.
 
     The motivation of using different processor workflows for learning and inference
     Here are some examples.
+
     - The instrument universe for learning and inference may be different.
     - The processing of some samples may rely on label (for example, some samples hit the limit may need extra processing or be dropped).
-        These processors only apply to the learning phase.
+
+    These processors only apply to the learning phase.
 
     Tips to improve the performance of data handler
+
     - To reduce the memory cost
-        - `drop_raw=True`: this will modify the data inplace on raw data;
+    - `drop_raw=True`: this will modify the data inplace on raw data;
     """
 
     # data key