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  • 7.2. Jupyter

    Jupyter Installation Usage Jupyter pyprql contains pyprql.magic , a thin wrapper of JupySQL ’s SQL IPython magics. This allows us to run PRQL interactively on Jupyter/IPytho...
  • 8.3. Jupyter

    Jupyter Installation Usage Jupyter pyprql contains pyprql.magic , a thin wrapper of JupySQL ’s SQL IPython magics. This allows us to run PRQL interactively on Jupyter/IPytho...
  • 4.3. Expressions & Operators

    Expressions and operators PRQL SQL Operator precedence Parentheses PRQL SQL PRQL Error Expressions and operators PRQL allows expressions, like 2 + 3 or ((1 + x) * y) ...
  • 8.1. Variables

    Variables PRQL SQL PRQL SQL Variables Variables assign a name to an expression (let’s call it x ). The name can then be used in any expression, acting as a substitute for t...
  • 1. Introduction

    Introduction PRQL SQL Introduction PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement. Like SQL, it’s readable, explicit and decl...
  • 1. Introduction

    Introduction PRQL SQL Introduction PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement. Like SQL, it’s readable, explicit and decl...
  • 10.2. Name resolution

    Name resolution Scopes Resolving Translating to SQL PRQL SQL PRQL SQL Name resolution Because PRQL primarily handles relational data, it has specialized scoping rules fo...
  • 5.4. Null handling

    Null handling PRQL SQL Null handling SQL has an unconventional way of handling NULL values, since it treats them as unknown values. As a result, in SQL: NULL is not a val...
  • 10.1. Null handling

    Null handling PRQL SQL Null handling SQL has an unconventional way of handling NULL values, since it treats them as unknown values. As a result, in SQL: NULL is not a val...
  • 7.3. Tuples

    Tuples PRQL SQL PRQL SQL Tuples Tuple is a container type, composed of multiple fields. Each field can have a different type. Number of fields and their types must be known...