diff --git a/README.md b/README.md
index 81cc11ca8..7ed8dfe5b 100644
--- a/README.md
+++ b/README.md
@@ -21,7 +21,12 @@
 </p>
 
 The `ormar` package is an async ORM for Python, with support for Postgres,
-MySQL, and SQLite. Ormar is built with:
+MySQL, and SQLite. 
+
+Ormar - apart form obvious ORM in name - get it's name from ormar in swedish which means snakes, and ormar(e) in italian which means cabinet. 
+And what's a better name for python ORM than snakes cabinet :)
+
+Ormar is built with:
 
   * [`SQLAlchemy core`][sqlalchemy-core] for query building.
   * [`databases`][databases] for cross-database async support.
diff --git a/ormar/__init__.py b/ormar/__init__.py
index f192b4186..37ebe34b0 100644
--- a/ormar/__init__.py
+++ b/ormar/__init__.py
@@ -15,7 +15,7 @@
 )
 from ormar.models import Model
 
-__version__ = "0.2.1"
+__version__ = "0.2.2"
 __all__ = [
     "Integer",
     "BigInteger",
diff --git a/ormar/fields/model_fields.py b/ormar/fields/model_fields.py
index 8ff1dd7c0..616b37f3a 100644
--- a/ormar/fields/model_fields.py
+++ b/ormar/fields/model_fields.py
@@ -57,7 +57,7 @@ class String(ModelFieldFactory):
     _bases = (pydantic.ConstrainedStr, BaseField)
     _type = str
 
-    def __new__( # noqa CFQ002
+    def __new__(  # noqa CFQ002
         cls,
         *,
         allow_blank: bool = False,
@@ -231,7 +231,7 @@ class Decimal(ModelFieldFactory):
     _bases = (pydantic.ConstrainedDecimal, BaseField)
     _type = decimal.Decimal
 
-    def __new__( # noqa CFQ002
+    def __new__(  # noqa CFQ002
         cls,
         *,
         minimum: float = None,
diff --git a/ormar/queryset/queryset.py b/ormar/queryset/queryset.py
index 1b0db6d9f..886c29c21 100644
--- a/ormar/queryset/queryset.py
+++ b/ormar/queryset/queryset.py
@@ -167,8 +167,6 @@ async def create(self, **kwargs: Any) -> "Model":
             del new_kwargs[pkname]
 
         new_kwargs = self.model_cls.substitute_models_with_pks(new_kwargs)
-
-        # Build the insert expression.
         expr = self.table.insert()
         expr = expr.values(**new_kwargs)