'List comprehension' diaporamas de présentation

Declarative Thinking, Declarative Practice

2.31k views • 115 slides

Chapter 10 Lists

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Introduction to Python II

Introduction to Python II. CIS 391: Artificial Intelligence Fall, 2008. Dictionaries: a mapping collection type. Dictionaries: A Mapping type. Dictionaries store a mapping between a set of keys and a set of values. Keys can be any immutable type. Values can be any type

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Introduction to Python II

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Chapter 10 Lists

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Chapter 10 Lists

541 views • 54 slides

Introduction to Compilation of Functional Languages

Introduction to Compilation of Functional Languages. Wanhe Zhang Computing and Software Department McMaster University 16 th , March, 2004. Functional Programs. Based on the idea that a program is a function with one input parameter, its input and one result, its output.

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8. Higher Order Predicates

8. Higher Order Predicates. Higher order predicates in PROLOG. Higher order declarative predicates : findall bagof setof =.. Higher order non-declarative predicates : call . asserta , assertz . retract . Higher Order Predicates in PROLOG. PROLOG implements a subset of classical logic.

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PROGRAMMING IN HASKELL

PROGRAMMING IN HASKELL. Chapter 7 - Higher-Order Functions. Introduction. A function is called higher-order if it takes a function as an argument or returns a function as a result. twice :: (a ? a) ? a ? a twice f x = f (f x). twice is higher-order because it

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Lecture 6: Comparing Things Word Similarity

Lecture 6: Comparing Things Word Similarity. Methods in Computational Linguistics II Queens College. Today. List Comprehensions Determining Word Similarity Co-occurrences WordNet. List Comprehensions. Compact way to process every item in a list. [x for x in array]. Methods.

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PROGRAMMING IN HASKELL

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Structured programming 3 Day 33

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Declarative Loops and List Comprehensions for Prolog

Declarative Loops and List Comprehensions for Prolog. Neng-Fa Zhou Brooklyn College The City University of New York zhou@sci.brooklyn.cuny.edu. Motivation. Second ASP-solver Competition 38 problems were used The B-Prolog team was the only CLP(FD) team

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control 3 Day 15 - 9/29/14

control 3 Day 15 - 9/29/14. LING 3820 & 6820 Natural Language Processing Harry Howard Tulane University. Course organization. http://www.tulane.edu/~howard/LING3820/ The syllabus is under construction. http://www.tulane.edu/~howard/CompCultEN/ Chapter numbering

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COMPSCI 105 Principles of Computer Science

COMPSCI 105 Principles of Computer Science. Lecture 02 - Lists. Lists. Creating a list In memory. my_list = []. my_list. Lists. Adding an element In memory. my_list = my_list + [4]. my_list. 4. Lists. Joining lists In memory. my_list = my_list + [2, 6, 9, 3]. my_list. 4.

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Lazy Programming

Lazy Programming. Lazy evaluation: an expression is evaluated if and only if its value is needed to compute the overall result Consequences: elements are generated on demand so that complex intermediate structures are not necessarily expensive, e.g., an intermediate list ,

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List comprehensions

List comprehensions. UW CSE 140 Winter 2013. Ways to express a list. Explicitly write the whole thing: squares = [0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 100] Write a loop to create it: squares = [] for i in range(11): squares.append ( i * i )

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control 4 Day 16 - 10/01/14

control 4 Day 16 - 10/01/14. LING 3820 & 6820 Natural Language Processing Harry Howard Tulane University. Course organization. http://www.tulane.edu/~howard/LING3820/ The syllabus is under construction. http://www.tulane.edu/~howard/CompCultEN/ Chapter numbering

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List Comprehensions

1.27k views • 13 slides

List Comprehensions

287 views • 13 slides