Update Doc - Whats new Page for version 1.0.4 and 1.0.3 (#1242)

docs/source/whats_new.rst

@@ -20,4 +20,7 @@ ____
 
   whats_new_v1_0_0
   whats_new_v1_0_1
+  whats_new_v1_0_2
+  whats_new_v1_0_3
+  whats_new_v1_0_4
 

docs/source/whats_new_v1_0_3.rst

@@ -0,0 +1,14 @@
+.. _whats_new_v1_0_3:
+
+===============
+Version 1.0.3
+===============
+
+This minor release has some chagnes that focus on improving the QueryProfiler and QueryProfilerInterface.
+
+QueryProfiler
+-----------------
+
+- Improving the speed of processing the profiling main function.
+- Multiple enhancements in the user Interface to make the interaction more intuitive.
+- ``import_profile`` function now restricts the user to avoid overwriting the data when using the same schema and key combination.

docs/source/whats_new_v1_0_4.rst

@@ -0,0 +1,61 @@
+.. _whats_new_v1_0_4:
+
+===============
+Version 1.0.4
+===============
+
+This minor release has some significant feature additions with other changes. Some salient ones are listed below:
+
+QueryProfiler
+--------------
+
+
+- Now there is a new parameter ``use_temp_relation`` which allows users to display the temporary relations separately in the ``get_qplan_tree``.
+- Query start and stop time are also included in the ``get_queries`` table.
+- New queries can be added to the same schema and key using the ``insert`` function. 
+
+
+.. code-block::
+
+  qprof = QueryProfiler((109090909, 1))
+  qprof.insert(transactions = (41823718, 2))
+
+
+QueryProfilerInterface
+-----------------------
+
+- Made the metric selecting widgets in the QueryProfilerInterface to be more intuitive.
+- A new widget allows to directly jump to the specific query without having to press ``Next`` button multiple times.
+- A success flag is added to the display to confirm if the query was run successfully.
+- Added unit for the query execution time.
+
+
+Machine Learning
+-----------------
+
+- Added Vector Auto Regression (VAR) to the list of Vertica algortihms.
+
+
+
+vDataFrame
+------------
+
+- The ``Up`` and ``Down`` arrow of the ``vDataFrame.idisplay()`` are now larger in size. 
+
+
+Bugfixes
+---------
+
+- Bugfix for auto-token refresh using OAuth.
+- Empty vDataFrame can now be created.
+
+.. code-block::
+
+    import pandas as pd
+    from verticapy import read_pandas
+
+    df = pd.DataFrame()
+    df = df.reindex(columns = ["col1", "col2"])
+    read_pandas(df)
+
+- Some unit tests were modified to make them consistent with the test environment.