Modified code based on CircleCI failures

python-sqlite-sqlalchemy/project/build_data/build_author_book_publisher_sqlite.py

@@ -34,7 +34,9 @@ def populate_database(session, author_book_publisher_data):
             .one_or_none()
         )
         if author is None:
-            author = Author(first_name=row["first_name"], last_name=row["last_name"])
+            author = Author(
+                first_name=row["first_name"], last_name=row["last_name"]
+            )
             session.add(author)
 
         book = (

python-sqlite-sqlalchemy/project/examples/example_1/main.py

 """
 This is the example 1 program file
 
-This example program was kindly created by Geir Arne Hjelle, another RealPython author,
-as part of the editorial process to improve this article and the information it presents.
-You can learn more about Geir from this URL: https://realpython.com/team/gahjelle/
+This example program was kindly created by Geir Arne Hjelle,
+another RealPython author, as part of the editorial process
+to improve this article and the information it presents.
+You can learn more about Geir from this URL:
+https://realpython.com/team/gahjelle/
 """
 
 from importlib import resources
-from typing import List
 
 import pandas as pd
 from treelib import Tree
@@ -25,15 +26,14 @@ def get_books_by_publisher(
     a Pandas series
 
     Args:
-        data (pd.DataFrame): The Pandas dataframe to get the data from
-        ascending (bool, optional): The sorting direction for the returned data. Defaults to True.
+        data (pd.DataFrame): The Pandas dataframe to get the
+        data from ascending (bool, optional): The sorting
+        direction for the returned data. Defaults to True.
 
     Returns:
         pd.Series: The sorted data as a Pandas series
     """
-    return data.groupby("publisher") \
-        .size() \
-        .sort_values(ascending=ascending)
+    return data.groupby("publisher").size().sort_values(ascending=ascending)
 
 
 def get_authors_by_publisher(
@@ -43,8 +43,9 @@ def get_authors_by_publisher(
     a Panda series
 
     Args:
-        data (pd.DataFrame): The Pandas dataframe to get the data from
-        ascending (bool, optional): The sorting direction for the returned data. Defaults to True.
+        data (pd.DataFrame): The Pandas dataframe to get the data
+        from ascending (bool, optional): The sorting direction for
+        the returned data. Defaults to True.
 
     Returns:
         pd.Series: The sorted data as a Pandas series
@@ -92,7 +93,7 @@ def add_new_book(
 
 
 def output_author_hierarchy(data: pd.DataFrame):
-    """This function outputs the data as a hierarchy with 
+    """This function outputs the data as a hierarchy with
     the authors as the root node
     """
     authors = data.assign(

python-sqlite-sqlalchemy/project/examples/example_2/main.py

@@ -5,7 +5,6 @@ This program gathers information from the temp_data.csv file about temperature
 from typing import List
 from uuid import uuid4
 
-from flask_sqlalchemy import SQLAlchemy
 from pkg_resources import resource_filename
 from sqlalchemy import and_, create_engine
 from sqlalchemy.orm import sessionmaker