Notebook 1¶

New notebook

In [4]:
df = spark.sql("SELECT * FROM exe_order66.`llm_wages` LIMIT 4000")
display(df)

StatementMeta(, dd558bab-ba63-484e-9d40-6a4760e611a9, 18, Finished, Available)
SynapseWidget(Synapse.DataFrame, a8d23348-fd09-40b4-acf1-2ec7d41e78ff)
In [5]:
import pandas as pd
# Load data into pandas DataFrame from f"{mssparkutils.nbResPath}/builtin/ai_ml_data.csv"
df = pd.read_csv(f"{mssparkutils.nbResPath}/builtin/ai_ml_data.csv")
display(df)

StatementMeta(, dd558bab-ba63-484e-9d40-6a4760e611a9, 21, Finished, Available)
SynapseWidget(Synapse.DataFrame, 7e550f74-86fd-48b5-b059-5554c7b10cd6)
In [2]:
import pandas as pd
# Load data into pandas DataFrame from f"{mssparkutils.nbResPath}/builtin/all_ai_tool.csv"
df = pd.read_csv(f"{mssparkutils.nbResPath}/builtin/all_ai_tool.csv")
display(df)

StatementMeta(, b741088f-4abe-4f91-9be4-4dd7bb77eac0, 7, Finished, Available)
SynapseWidget(Synapse.DataFrame, 91b1dd0d-fe49-4549-920c-e3063e83ff35)