Search results
Results from the WOW.Com Content Network
In contrast with comments, docstrings are themselves Python objects and are part of the interpreted code that Python runs. That means that a running program can retrieve its own docstrings and manipulate that information, but the normal usage is to give other programmers information about how to invoke the object being documented in the docstring.
A metasyntactic variable is something that stands for another piece of text. For example, you should use a metasyntactic variable in the documentation of a function to describe the arguments that are passed to that function. Do not use @var for the names of particular variables in programming languages. These are specific names from a program ...
Monty Python references appear frequently in Python code and culture; [190] for example, the metasyntactic variables often used in Python literature are spam and eggs instead of the traditional foo and bar. [190] [191] The official Python documentation also contains various references to Monty Python routines.
The satisfiability problem becomes more difficult if both "for all" and "there exists" quantifiers are allowed to bind the Boolean variables. An example of such an expression would be ∀x ∀y ∃z (x ∨ y ∨ z) ∧ (¬x ∨ ¬y ∨ ¬z); it is valid, since for all values of x and y, an appropriate value of z can be found, viz. z=TRUE if ...
The programmer adds comment syntax that converts program code into comments so that what was executable code will no longer be executed at runtime. Sometimes this technique is used to find the cause of a bug. By systematically commenting out and running parts of the program, the offending source code can be located.
) The vector is modelled as a linear function of its previous value. The vector's components are referred to as y i,t, meaning the observation at time t of the i th variable. For example, if the first variable in the model measures the price of wheat over time, then y 1,1998 would indicate the price of wheat in the year 1998.
This is useful because it puts deterministic variables and random variables in the same formalism. The discrete uniform distribution, where all elements of a finite set are equally likely. This is the theoretical distribution model for a balanced coin, an unbiased die, a casino roulette, or the first card of a well-shuffled deck.
Example side effects include modifying a non-local variable, a static local variable or a mutable argument passed by reference; raising errors or exceptions; performing I/O; or calling other functions with side-effects. [1] In the presence of side effects, a program's behaviour may depend on history; that is, the order of evaluation matters.