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Chapter 1: Outline Snowpark architecture

Chapter 2: Use of key objects like User

Chapter 3: Outline Snowpark architecture

Chapter 4: Set up Snowpark

Chapter 5: Development environments

Chapter 6: Create and manage user sessions

Chapter 7: Authentication methods

Chapter 8: Authentication methods Snowflake CLI or .env parameters

Chapter 9: Use Snowpark with unstructured data

Chapter 10: Multiple methods to create Snowpark DataFrames

Chapter 11: Create Snowpark DataFrames

Chapter 12: Operationalize UDFs and UDTFs in Snowpark

Chapter 13: Secure UDFs and UDTFs

Chapter 14: Data types type hints vs. registration API

Chapter 15: Operationalize UDFs and UDTFs in Snowpark

Chapter 16: Operationalize Snowpark stored procedures

Chapter 17: Secure stored procedures

Chapter 18: Caller versus owner rights

Chapter 19: Data types type hints vs. registration API

Chapter 20: Create Directed Acyclic Graphs tasks executing stored procedures

Chapter 21: Bring Python modules packaged code to be used with UDFs

Chapter 22: Apply operations for filtering and transforming data

Chapter 23: Clean and enrich data using Snowpark for Python

Chapter 24: Perform aggregate and set based operations on DataFrames

Chapter 25: Transform semi structured data in DataFrames

Chapter 26: Persist the results of Snowpark DataFrames

Chapter 27: Perform DML operations using Snowpark DataFrames

Chapter 28: Configure Snowpark and optimized warehouses

Chapter 29: Materialize results caching

Chapter 30: Vectorization

Chapter 31: Synchronous versus asynchronous calls

Chapter 32: Troubleshoot common errors in Snowpark

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