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SkillSoft Explore Course

Aspire     Pythonista to Python Master     Python Master Track 3: Dynamic Data Handling with Python

With a good grip on the use of SQLAlchemy in querying data in SQL tables, you are now ready to perform multi-table joins and use more powerful SQL abstractions.


In this course, you'll perform multi-table joins by chaining the .join methods on different tables. You'll also simplify join syntax using aliases. You'll then create and query views and learn how insertions into views are propagated from the view to the underlying tables.


Moving on, you'll create indexes and examine their metadata. You'll then differentiate between simple and composite indexes.


By the end of the course, you'll be able to perform multi-table joins by chaining .join methods, create and query views, correctly insert data into underlying tables using views, create indexes, and interpret index metadata.



Objectives

SQL Databases Using SQLAlchemy: Chaining Joins, Views, & Indexes

  • discover the key concepts covered in this course
  • filter data using the some and all clauses
  • perform three-way joins in tables
  • create SQL views on underlying tables
  • query views using the where clause
  • insert data into views
  • create SQL indexes on tables
  • create custom and composite indexes
  • summarize the key concepts covered in this course