Increase version bound for Pandas + release 2.0.1

Users encountering failures with message:
```
After an update in databricks-sql-connector, the query s failing with the following error:-
module 'pandas' has no attribute 'Float32Dtype'  but succeeds with version 1.0.2 in DBR version 7.3 PFA
```
Looking at [https://pandas.pydata.org/pandas-docs/dev/whatsnew/v1.2.0.html#experimental-nullable-data-types-for-float-data](https://pandas.pydata.org/pandas-docs/dev/whatsnew/v1.2.0.html#experimental-nullable-data-types-for-float-data), it seems we need to use Pandas 1.2.0+

User verified that upgrading Pandas to 1.2.0 fixed the issue

Author: NiallEgan

cmdexec/clients/python/setup.cfg

@@ -22,7 +22,7 @@ python_requires = >=3.7
 install_requires =
     thrift >= 0.13.0
     pyarrow >= 5.0.0
-    pandas >= 1.0.0
+    pandas >= 1.2.0
 
 [options.packages.find]
 where = src

cmdexec/clients/python/src/databricks/sql/HISTORY

@@ -1,3 +1,6 @@
+v2.0.1 - April 21, 2022
+- Fixed Pandas dependency in setup.cfg to be >= 1.2.0
+
 v2.0.0 - April 19, 2022
 - Initial stable release of V2
 - Added better support for complex types, so that in Databricks runtime 10.3+, Arrays, Maps and Structs will get 

cmdexec/clients/python/src/databricks/sql/__init__.py

@@ -27,7 +27,7 @@ def __repr__(self):
 DATE = DBAPITypeObject('date')
 ROWID = DBAPITypeObject()
 
-__version__ = "2.0.0"
+__version__ = "2.0.1"
 USER_AGENT_NAME = "PyDatabricksSqlConnector"
 
 # These two functions are pyhive legacy