Fix NameError: ensure df is defined before saveAsTable in lab 03

[Copilot]

In the "Create a managed table" step, the code cell called df.write.format("delta").saveAsTable("managed_products") without guaranteeing df was in scope — triggering NameError: name 'df' is not defined if the Spark session had restarted or cells were run out of order.

Change

• Added the DataFrame load line directly into the managed table code cell, making it self-contained:

df = spark.read.format("csv").option("header","true").schema(schema).load("Files/products/products.csv")
df.write.format("delta").saveAsTable("managed_products")

Reuses the schema variable already defined earlier in the notebook, preserving correct data types (e.g., ListPrice as DoubleType).

Original prompt

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This section details on the original issue you should resolve

<issue_title>NameError name 'df' is not defined - Lab-03</issue_title>
<issue_description># Module: Labs/03-delta-lake.html#use-sql-to-create-a-delta-table

Lab/Demo: Labs/03-delta-lake.html#use-sql-to-create-a-delta-table

Task: Create a managed table

Step: To create a managed Delta table, add a new cell, enter the following code and then run the cell:

Description of issue
NameError name 'df' is not defined after executing the code
df.write.format("delta").saveAsTable("managed_products")
Repro steps:

Suggested Resolutions

1. Prior executing df.write.format("delta).saveAsTable("managed_products")

2. Executing the below code Run a cell before the write that creates the DataFrame.
   df = spark.read.format("csv")
   .option("header", "true")
   .load("Files/products/products.csv")
   </issue_description>

Comments on the Issue (you are @copilot in this section)

• Fixes NameError name 'df' is not defined - Lab-03 #371

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[v-mohamrafi]

Executed the code manually with error of bug and cross verified with @copilot suggestions.

[weslbo]

This extra line of code is not necessary. At line 89, we already instantiate the dataframe with a spark.read call, so it's not necessary anymore to do it again at line 125

[weslbo]

Will close this PR as the extra line of code is not necessary. At line 89, we already instantiate the dataframe with a spark.read call, so it's not necessary anymore to do it again at line 125