indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 516 17 Group By: split-apply-combine 519 17.1 Splitting an object into groups . . . . . . . . . . . . . . . . . . . . . . . . methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 534 17.8 Flexible apply . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 536 17.9 align the data for you in computations • Powerful, flexible group by functionality to perform split-apply-combine operations on data sets, for both ag- gregating and transforming data • Make it easy to convert

practical skills you can apply on a larger project (as a hobby, for an MSc or PhD, or in industry); ■ reach a point where you feel ready to move to another proof assistant and apply what you have learned; and VAR, have no premises, but they have side conditions that must be satisfied for the rules to apply. The last two rules take one or two judgments as premises and produce a new judgment. LAM is the only theorem proving. To create a term of a given type, start with the placeholder _ and recursively apply a combination of the following two steps: 1. If the type is of the form $ \sigma \rightarrow \tau

to execute our task, we use the delay() method of the task class. This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing Tasks). >>> and connection timeouts. Routing options • AMQP options ## Basics Executing a task is done with apply_async(), and the shortcut: delay(). delay is simple and convenient, as it looks like calling a regular Task.delay(arg1, arg2, kwarg1="x", kwarg2="y") The same using apply_async is written like this: Task.apply_async(args=[arg1, arg2], kwargs{"kwarg1": "x", "kwarg2":

to execute our task, we use the delay() method of the task class. This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing Tasks). >>> connection timeouts. • Routing options • AMQP options #### 2.3.1 Basics Executing a task is done with apply_async(), and the shortcut: delay(). delay is simple and convenient, as it looks like calling a regular Task.delay(arg1, arg2, kwarg1="x", kwarg2="y") The same using apply_async is written like this: Task.apply_async(args=[arg1, arg2], kwargs={"kwarg1": "x", "kwarg2":

to execute our task, we use the delay() method of the task class. This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing Tasks). >>> connection timeouts. • Routing options • AMQP options #### 2.3.1 Basics Executing a task is done with apply_async(), and the shortcut: delay(). delay is simple and convenient, as it looks like calling a regular Task.delay(arg1, arg2, kwarg1="x", kwarg2="y") The same using apply_async is written like this: Task.apply_async(args=[arg1, arg2], kwargs={"kwarg1": "x", "kwarg2":

to execute our task, we use the delay() method of the task class. This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing Tasks). >>> connection timeouts. • Routing options • AMQP options #### 2.3.1 Basics Executing a task is done with apply_async(), and the shortcut: delay(). delay is simple and convenient, as it looks like calling a regular Task.delay(arg1, arg2, kwarg1="x", kwarg2="y") The same using apply_async is written like this: Task.apply_async(args=[arg1, arg2], kwargs={"kwarg1": "x", "kwarg2":

to execute our task, we use the delay() method of the task class. This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing Tasks). >>> connection timeouts. • Routing options • AMQP options ## Basics Executing a task is done with apply_async(), and the shortcut: delay(). delay is simple and convenient, as it looks like calling a regular Task.delay(arg1, arg2, kwarg1="x", kwarg2="y") The same using apply_async is written like this: Task.apply_async(args=[arg1, arg2], kwargs={"kwarg1": "x", "kwarg2":

to execute our task, we use the delay() method of the task class. This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing Tasks). >>> connection timeouts. • Routing options • AMQP options #### 2.3.1 Basics Executing tasks is done with apply_async(), and the shortcut: delay(). delay is simple and convenient, as it looks like calling a regular Task.delay(arg1, arg2, kwarg1="x", kwarg2="y") The same using apply_async is written like this: Task.apply_async(args=[arg1, arg2], kwargs={"kwarg1": "x", "kwarg2":

to execute our task, we use the delay() method of the task class. This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing Tasks). >>> connection timeouts. • Routing options • AMQP options #### 2.3.1 Basics Executing a task is done with apply_async(), and the shortcut: delay(). delay is simple and convenient, as it looks like calling a regular Task.delay(arg1, arg2, kwarg1="x", kwarg2="y") The same using apply_async is written like this: Task.apply_async(args=[arg1, arg2], kwargs={"kwarg1": "x", "kwarg2":

to execute our task, we use the delay() method of the task class. This is a handy shortcut to the apply_async() method which gives greater control of the task execution (see Executing Tasks). >>> and connection timeouts. Routing options • AMQP options ## Basics Executing a task is done with apply_async(), and the shortcut: delay(). delay is simple and convenient, as it looks like calling a regular Task.delay(arg1, arg2, kwarg1="x", kwarg2="y") The same using apply_async is written like this: Task.apply_async(args=[arg1, arg2], kwargs{"kwarg1": "x", "kwarg2":