Search results
Results From The WOW.Com Content Network
The macro is unhygienic: it declares a new variable in the existing scope which remains after the loop. One foreach macro cannot be defined that works with different collection types (e.g., array and linked list) or that is extensible to user types. C string as a collection of char
Following Lisp, other high-level programming languages which feature linked lists as primitive data structures have adopted an append. To append lists, as an operator, Haskell uses ++, OCaml uses @. Other languages use the + or ++ symbols to nondestructively concatenate a string, list, or array.
Graphillion, A Python-based graphset manipulation library based on SAPPOROBDD, developed and maintained by Minato's research group that is heavily focused on ZDD-based algorithms. The library consists of an optimized C/C++ core and a python interface. TdZdd: A header-only C++ library for BDD/ZDD manipulation. pyzdd: A python wrapper over TdZdd.
Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
Method chaining eliminates an extra variable for each intermediate step. The developer is saved from the cognitive burden of naming the variable and keeping the variable in mind. Method chaining has been referred to as producing a "train wreck" due to the increase in the number of methods that come one after another in the same line that occurs ...
The image of a function f(x 1, x 2, …, x n) is the set of all values of f when the n-tuple (x 1, x 2, …, x n) runs in the whole domain of f.For a continuous (see below for a definition) real-valued function which has a connected domain, the image is either an interval or a single value.
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.
The example here is of the Student's t-distribution, which is normally provided in R only in its standard form, with a single degrees of freedom parameter df. The versions below with _ls appended show how to generalize this to a generalized Student's t-distribution with an arbitrary location parameter m and scale parameter s .