Java Collections API
59 likes15,495 views
This document provides an overview of Java collections APIs, including: - A history of collections interfaces added in different JDK versions from 1.0 to 1.7. - Descriptions of common collection interfaces like List, Set, Map and their implementations. - Comparisons of performance and characteristics of different collection implementations. - Explanations of common collection algorithms and concurrency utilities. - References for further reading on collections and concurrency.
1 of 51
Downloaded 1,497 times
Ad
Recommended
Java Collections Framework
Java Collections FrameworkSony India Software Center This document provides an overview of the Java Collections Framework. It discusses core collection interfaces like List, Set, and Map and their common implementations like ArrayList, HashSet, and HashMap. It also covers sorting collections with Comparable and Comparator, searching collections with binary search, and using utility methods in the Collections class. Examples are provided to illustrate usage of various collection classes and methods.
Collections Api - Java
Collections Api - JavaDrishti Bhalla Core Java - Collections API - Methods of Traversing - Interfaces - MAP - SET - LIST - QUEUE and all its subtypes and methods.
Java 8 Lambda Expressions
Java 8 Lambda ExpressionsScott Leberknight Slides for a lightning talk on Java 8 lambda expressions I gave at the Near Infinity (www.nearinfinity.com) 2013 spring conference.
The associated sample code is on GitHub at https://github.com/sleberknight/java8-lambda-samples
Java collection
Java collectionArati Gadgil This document provides an overview of Java collection classes and interfaces. It discusses the Collection framework, commonly used methods for Collection, List, Iterator, ArrayList, LinkedList, Set, Queue, Map, Entry, and sorting. The key classes covered are Collection, List, Iterator, ArrayList, LinkedList, HashSet, Queue, Map, and Entry. It explains the purpose of each interface and differences between data structures like ArrayList vs LinkedList, List vs Set.
Java Collections | Collections Framework in Java | Java Tutorial For Beginner...
Java Collections | Collections Framework in Java | Java Tutorial For Beginner...Edureka! **** Java Certification Training: https://www.edureka.co/java-j2ee-soa-training ****
This Edureka tutorial on “Java Collections” will talk about the complete hierarchy of Collections Frameworks in Java. It will walk you through the various fundamentals of collections like Lists, Queue, Sets, Interfaces etc. Through this tutorial you will learn the following topics:
Java Collection Framework
Collection Framework Hierarchy
Interfaces
List
Queue
Set
Check out our Java Tutorial blog series: https://goo.gl/osrGrS
Check out our complete Youtube playlist here: https://goo.gl/gMFLx3
Collection Framework in java
Collection Framework in javaCPD INDIA Collections Framework is a unified architecture for managing collections, Main Parts of Collections Framework
1. Interfaces :- Core interfaces defining common functionality exhibited by collections
2. Implementations :- Concrete classes of the core interfaces providing data structures
3. Operations :- Methods that perform various operations on collections
Collections In Java
Collections In JavaBinoj T E Collections in Java include arrays, iterators, and interfaces like Collection, Set, List, and Map. Arrays have advantages like type checking and known size but are fixed. Collections generalize arrays, allowing resizable and heterogeneous groups through interfaces implemented by classes like ArrayList, LinkedList, HashSet and HashMap. Common operations include adding, removing, and iterating over elements.
Java collections concept
Java collections conceptkumar gaurav This document discusses the collection framework in Java. It provides an overview of the need for collections due to limitations of arrays. It then describes the key interfaces in the collection framework - Collection, List, Set, SortedSet, NavigableSet, Queue, Map, SortedMap, and NavigableMap. For each interface, it provides a brief description of its purpose and characteristics. It explains that collections allow storing heterogeneous data types with variable sizes, unlike arrays.
07 java collection
07 java collectionAbhishek Khune The Java Collection Framework provides interfaces and implementations for commonly used data structures like lists, sets, maps and queues. Some key interfaces include Collection, Set, List, Map and SortedSet. Common implementations are ArrayList, LinkedList, HashSet, TreeSet, HashMap and TreeMap. The framework also includes iterators for traversing collections and algorithms for sorting. Generic types were introduced in Java 5 for type-safe collections.
Java - Collections framework
Java - Collections frameworkRiccardo Cardin This presentation introduces some concepts about the Java Collection framework. These slides introduce the following concepts:
- Collections and iterators
- Linked list and array list
- Hash set and tree set
- Maps
- The collection framework
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
Java Collections
Java Collectionsparag The document summarizes various collection classes in Java, including Collection, List, Set, and Map interfaces and their common implementations like ArrayList, LinkedList, HashSet, TreeSet, HashMap, and TreeMap. It discusses the pros and cons of different collection classes and how to iterate through collections using iterators to avoid ConcurrentModificationExceptions.
5 collection framework
5 collection frameworkMinal Maniar The document provides information about Java's collection framework. It discusses the key interfaces like List, Set, and Map. It describes common implementations of these interfaces like ArrayList, LinkedList, HashSet, TreeSet, HashMap. It explains concepts like iterators, storage of elements in ArrayList and Vector, differences between ArrayList and Vector. It also provides examples of using ArrayList, Vector, HashSet and TreeMap.
Java Collection framework
Java Collection frameworkankitgarg_er The document discusses the Java Collections Framework, which includes interfaces like Collection, List, Set, and Map. It describes common implementations like ArrayList, LinkedList, HashSet, TreeSet, HashMap, and LinkedHashMap. It covers the core functionality provided by the interfaces and benefits of using the framework.
Java Collections Tutorials
Java Collections TutorialsProf. Erwin Globio This document provides an overview of Java collections including common implementations like lists, maps, and queues. It discusses how collections allow storing and accessing multiple objects, the benefits of generics for type safety, and useful methods in the Collections class for sorting, shuffling, and copying collections. Code examples are provided for creating parameterized lists and maps, sorting lists using Comparator, and exercises for working with collections in practice.
Lambda Expressions in Java
Lambda Expressions in JavaErhan Bagdemir The document discusses lambda expressions in Java 8. It defines lambda expressions as anonymous functions that can be passed around as method parameters or returned from methods. Lambda expressions allow treating functions as first-class citizens in Java by letting functions be passed around as arguments to other functions. The document provides examples of lambda expressions in Java 8 and how they can be used with functional interfaces, method references, the forEach() method, and streams. It also discusses scope and type of lambda expressions and provides code samples demonstrating streams and stream pipelines.
Collections framework in java
Collections framework in javayugandhar vadlamudi The Java Collections Framework provides useful classes for storing and processing data efficiently. It includes the List interface which supports ordered elements that may be duplicated. The ArrayList and LinkedList classes implement the List interface but differ in performance - ArrayList uses an array for fast random access while LinkedList uses nodes for fast insertion/removal. The Set interface does not allow duplicates. Implementations like HashSet, TreeSet and LinkedHashSet vary in ordering and performance. The ArrayDeque class implements a double-ended queue for fast insertion/removal at both ends. Collections methods like sort() and reverse() can organize elements in lists.
Introduction to Java 8
Introduction to Java 8Knoldus Inc. Introduction to functional structures in Java 8 Like Lambda expressions, Default methods, Method references, Stream API etc.
java 8 new features 
java 8 new features Rohit Verma in this presentation we will learn about java 8 new features like
lembda expression , anonymous class,functional interface, colon operator , and all
Java 8 Lambda and Streams
Java 8 Lambda and StreamsVenkata Naga Ravi Presentation provides introduction and detailed explanation of the Java 8 Lambda and Streams. Lambda covers with Method references, default methods and Streams covers with stream operations,types of streams, collectors. Also streams are elaborated with parallel streams and benchmarking comparison of sequential and parallel streams.
Additional slides are covered with Optional, Splitators, certain projects based on lambda and streams
Java 8 Streams
Java 8 StreamsManvendra Singh This is a beginner's guide to Java 8 Lambdas, accompnied with executable code examples which you can find at https://github.com/manvendrasinghkadam/java8streams. Java 8 Streams are based on Lambdas, so this presentation assumes you know Lambdas quite well. If don't then please let me know I'll create another presentation regarding it with code examples. Lambdas are relatively easy to use and with the power of stream api you can do functional programming in Java right from start. This is very cool to be a Java programmer now.
String, string builder, string buffer
String, string builder, string bufferSSN College of Engineering, Kalavakkam String is a non-primitive and immutable data type in Java that represents a sequence of characters. It is stored in the String Constant Pool in the heap memory. Methods like equals(), concat(), contains(), indexOf() etc. are used to perform operations on strings. String is immutable to prevent unexpected behavior if the contents of a string are changed.
Spring boot
Spring bootsdeeg This document contains an agenda and slides for a presentation on Spring Boot. The presentation introduces Spring Boot, which allows developers to rapidly build production-grade Spring applications with minimal configuration. It demonstrates how to quickly create a "Hello World" application using Spring Boot and discusses some of the features it provides out-of-the-box like embedded servers and externalized configuration. The presentation also shows how to add additional functionality like Thymeleaf templates and actuator endpoints to monitor and manage applications.
Java And Multithreading
Java And MultithreadingShraddha The document discusses threads and multithreading in Java. It defines a thread as a single sequential flow of control within a program. Multithreading allows a program to be divided into multiple subprograms that can run concurrently. Threads have various states like newborn, runnable, running, blocked, and dead. The key methods for managing threads include start(), sleep(), yield(), join(), wait(), notify(). Synchronization is needed when multiple threads access shared resources to prevent inconsistencies. Deadlocks can occur when threads wait indefinitely for each other.
Java 8 features
Java 8 featuresNexThoughts Technologies Java is Object Oriented Programming. Java 8 is the latest version of the Java which is used by many companies for the development in many areas. Mobile, Web, Standalone applications.
Java 8 lambda
Java 8 lambdaManav Prasad The document discusses lambda expressions in Java 8. It provides background on the lambda calculus and functional programming. Lambda expressions allow anonymous functions and are implemented using functional interfaces in Java 8. This enables a more functional style of programming. Lambda expressions can access variables from their enclosing scope and method references provide a concise way to pass existing methods. The streams API allows functional-style operations on collections and supports sequential and parallel processing.
JPA and Hibernate
JPA and Hibernateelliando dias JPA and Hibernate are specifications and frameworks for object-relational mapping (ORM) in Java. JPA is a specification for ORM that is vendor-neutral, while Hibernate is an open-source implementation of JPA. Both use annotations to map Java classes to database tables. JPA queries use JPAQL while Hibernate supports both JPAQL and its own HQL. Additional features covered include relationships, inheritance mapping strategies, custom types, and querying.
Spring framework core
Spring framework coreTaemon Piya-Lumyong This document provides an overview of the Spring Framework core module topics to be covered in a 2-week training, including introduction to Spring, basic beans, the IoC container, bean lifecycle, and annotations. The instructor team is listed and the topics are broken down into dependency injection, Spring modules, and a lab on basic DI setup.
Lambda Expressions in Java | Java Lambda Tutorial | Java Certification Traini...
Lambda Expressions in Java | Java Lambda Tutorial | Java Certification Traini...Edureka! **** Java Certification Training: https://www.edureka.co/java-j2ee-soa-training ****
This Edureka tutorial on “Lambda Expressions in Java” will introduce you to a new Java feature called Lambda Expressions. It will also talk about the functional interface in Java. Through this tutorial you will learn the following topics:
Java Lambda Expressions
Functional Interface
Lambda Parameters
Lambda as an Object
Lambda Value Capture
Method References as lambdas
Check out our Java Tutorial blog series: https://goo.gl/osrGrS
Check out our complete Youtube playlist here: https://goo.gl/gMFLx3
Collections Framework Begineers guide 2
Collections Framework Begineers guide 2Kenji HASUNUMA This document is a beginner's guide to Java Collections Framework. It introduces common data structures like lists, sets, queues and maps. It explains basic concepts like algorithms, collection types and implementations. It also covers operations on collections like iteration, sorting and filtering. The guide demonstrates how to select the appropriate data structure and implementation based on requirements. It provides examples of using collections and streams to perform bulk operations on data.
Collections Framework Beginners Guide 2
Collections Framework Beginners Guide 2Kenji HASUNUMA This document is a beginner's guide to Java Collections Framework. It introduces common data structures like lists, sets, queues and maps. It explains basic concepts like algorithms, collection types and implementations. It also covers operations on collections like iteration, sorting and filtering. The guide demonstrates how to select the appropriate data structure based on usage and provides examples of bulk operations using streams.
Ad
More Related Content
What's hot (20)
07 java collection
07 java collectionAbhishek Khune The Java Collection Framework provides interfaces and implementations for commonly used data structures like lists, sets, maps and queues. Some key interfaces include Collection, Set, List, Map and SortedSet. Common implementations are ArrayList, LinkedList, HashSet, TreeSet, HashMap and TreeMap. The framework also includes iterators for traversing collections and algorithms for sorting. Generic types were introduced in Java 5 for type-safe collections.
Java - Collections framework
Java - Collections frameworkRiccardo Cardin This presentation introduces some concepts about the Java Collection framework. These slides introduce the following concepts:
- Collections and iterators
- Linked list and array list
- Hash set and tree set
- Maps
- The collection framework
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
Java Collections
Java Collectionsparag The document summarizes various collection classes in Java, including Collection, List, Set, and Map interfaces and their common implementations like ArrayList, LinkedList, HashSet, TreeSet, HashMap, and TreeMap. It discusses the pros and cons of different collection classes and how to iterate through collections using iterators to avoid ConcurrentModificationExceptions.
5 collection framework
5 collection frameworkMinal Maniar The document provides information about Java's collection framework. It discusses the key interfaces like List, Set, and Map. It describes common implementations of these interfaces like ArrayList, LinkedList, HashSet, TreeSet, HashMap. It explains concepts like iterators, storage of elements in ArrayList and Vector, differences between ArrayList and Vector. It also provides examples of using ArrayList, Vector, HashSet and TreeMap.
Java Collection framework
Java Collection frameworkankitgarg_er The document discusses the Java Collections Framework, which includes interfaces like Collection, List, Set, and Map. It describes common implementations like ArrayList, LinkedList, HashSet, TreeSet, HashMap, and LinkedHashMap. It covers the core functionality provided by the interfaces and benefits of using the framework.
Java Collections Tutorials
Java Collections TutorialsProf. Erwin Globio This document provides an overview of Java collections including common implementations like lists, maps, and queues. It discusses how collections allow storing and accessing multiple objects, the benefits of generics for type safety, and useful methods in the Collections class for sorting, shuffling, and copying collections. Code examples are provided for creating parameterized lists and maps, sorting lists using Comparator, and exercises for working with collections in practice.
Lambda Expressions in Java
Lambda Expressions in JavaErhan Bagdemir The document discusses lambda expressions in Java 8. It defines lambda expressions as anonymous functions that can be passed around as method parameters or returned from methods. Lambda expressions allow treating functions as first-class citizens in Java by letting functions be passed around as arguments to other functions. The document provides examples of lambda expressions in Java 8 and how they can be used with functional interfaces, method references, the forEach() method, and streams. It also discusses scope and type of lambda expressions and provides code samples demonstrating streams and stream pipelines.
Collections framework in java
Collections framework in javayugandhar vadlamudi The Java Collections Framework provides useful classes for storing and processing data efficiently. It includes the List interface which supports ordered elements that may be duplicated. The ArrayList and LinkedList classes implement the List interface but differ in performance - ArrayList uses an array for fast random access while LinkedList uses nodes for fast insertion/removal. The Set interface does not allow duplicates. Implementations like HashSet, TreeSet and LinkedHashSet vary in ordering and performance. The ArrayDeque class implements a double-ended queue for fast insertion/removal at both ends. Collections methods like sort() and reverse() can organize elements in lists.
Introduction to Java 8
Introduction to Java 8Knoldus Inc. Introduction to functional structures in Java 8 Like Lambda expressions, Default methods, Method references, Stream API etc.
java 8 new features
java 8 new features Rohit Verma in this presentation we will learn about java 8 new features like
lembda expression , anonymous class,functional interface, colon operator , and all
Java 8 Lambda and Streams
Java 8 Lambda and StreamsVenkata Naga Ravi Presentation provides introduction and detailed explanation of the Java 8 Lambda and Streams. Lambda covers with Method references, default methods and Streams covers with stream operations,types of streams, collectors. Also streams are elaborated with parallel streams and benchmarking comparison of sequential and parallel streams.
Additional slides are covered with Optional, Splitators, certain projects based on lambda and streams
Java 8 Streams
Java 8 StreamsManvendra Singh This is a beginner's guide to Java 8 Lambdas, accompnied with executable code examples which you can find at https://github.com/manvendrasinghkadam/java8streams. Java 8 Streams are based on Lambdas, so this presentation assumes you know Lambdas quite well. If don't then please let me know I'll create another presentation regarding it with code examples. Lambdas are relatively easy to use and with the power of stream api you can do functional programming in Java right from start. This is very cool to be a Java programmer now.
String, string builder, string buffer
String, string builder, string bufferSSN College of Engineering, Kalavakkam String is a non-primitive and immutable data type in Java that represents a sequence of characters. It is stored in the String Constant Pool in the heap memory. Methods like equals(), concat(), contains(), indexOf() etc. are used to perform operations on strings. String is immutable to prevent unexpected behavior if the contents of a string are changed.
Spring boot
Spring bootsdeeg This document contains an agenda and slides for a presentation on Spring Boot. The presentation introduces Spring Boot, which allows developers to rapidly build production-grade Spring applications with minimal configuration. It demonstrates how to quickly create a "Hello World" application using Spring Boot and discusses some of the features it provides out-of-the-box like embedded servers and externalized configuration. The presentation also shows how to add additional functionality like Thymeleaf templates and actuator endpoints to monitor and manage applications.
Java And Multithreading
Java And MultithreadingShraddha The document discusses threads and multithreading in Java. It defines a thread as a single sequential flow of control within a program. Multithreading allows a program to be divided into multiple subprograms that can run concurrently. Threads have various states like newborn, runnable, running, blocked, and dead. The key methods for managing threads include start(), sleep(), yield(), join(), wait(), notify(). Synchronization is needed when multiple threads access shared resources to prevent inconsistencies. Deadlocks can occur when threads wait indefinitely for each other.
Java 8 features
Java 8 featuresNexThoughts Technologies Java is Object Oriented Programming. Java 8 is the latest version of the Java which is used by many companies for the development in many areas. Mobile, Web, Standalone applications.
Java 8 lambda
Java 8 lambdaManav Prasad The document discusses lambda expressions in Java 8. It provides background on the lambda calculus and functional programming. Lambda expressions allow anonymous functions and are implemented using functional interfaces in Java 8. This enables a more functional style of programming. Lambda expressions can access variables from their enclosing scope and method references provide a concise way to pass existing methods. The streams API allows functional-style operations on collections and supports sequential and parallel processing.
JPA and Hibernate
JPA and Hibernateelliando dias JPA and Hibernate are specifications and frameworks for object-relational mapping (ORM) in Java. JPA is a specification for ORM that is vendor-neutral, while Hibernate is an open-source implementation of JPA. Both use annotations to map Java classes to database tables. JPA queries use JPAQL while Hibernate supports both JPAQL and its own HQL. Additional features covered include relationships, inheritance mapping strategies, custom types, and querying.
Spring framework core
Spring framework coreTaemon Piya-Lumyong This document provides an overview of the Spring Framework core module topics to be covered in a 2-week training, including introduction to Spring, basic beans, the IoC container, bean lifecycle, and annotations. The instructor team is listed and the topics are broken down into dependency injection, Spring modules, and a lab on basic DI setup.
Lambda Expressions in Java | Java Lambda Tutorial | Java Certification Traini...
Lambda Expressions in Java | Java Lambda Tutorial | Java Certification Traini...Edureka! **** Java Certification Training: https://www.edureka.co/java-j2ee-soa-training ****
This Edureka tutorial on “Lambda Expressions in Java” will introduce you to a new Java feature called Lambda Expressions. It will also talk about the functional interface in Java. Through this tutorial you will learn the following topics:
Java Lambda Expressions
Functional Interface
Lambda Parameters
Lambda as an Object
Lambda Value Capture
Method References as lambdas
Check out our Java Tutorial blog series: https://goo.gl/osrGrS
Check out our complete Youtube playlist here: https://goo.gl/gMFLx3
Similar to Java Collections API (20)
Collections Framework Begineers guide 2
Collections Framework Begineers guide 2Kenji HASUNUMA This document is a beginner's guide to Java Collections Framework. It introduces common data structures like lists, sets, queues and maps. It explains basic concepts like algorithms, collection types and implementations. It also covers operations on collections like iteration, sorting and filtering. The guide demonstrates how to select the appropriate data structure and implementation based on requirements. It provides examples of using collections and streams to perform bulk operations on data.
Collections Framework Beginners Guide 2
Collections Framework Beginners Guide 2Kenji HASUNUMA This document is a beginner's guide to Java Collections Framework. It introduces common data structures like lists, sets, queues and maps. It explains basic concepts like algorithms, collection types and implementations. It also covers operations on collections like iteration, sorting and filtering. The guide demonstrates how to select the appropriate data structure based on usage and provides examples of bulk operations using streams.
Lec3
Lec3Nikhil Chilwant The document discusses different data structures for representing queues and linked lists, including their implementations and operations. Queues follow FIFO ordering and can be implemented using arrays or linked lists. Linked lists allow efficient insertion/removal at both ends and can be used to implement double-ended queues (deques). Deques support efficient insertion/removal from both ends and can implement stacks and queues. Sequences generalize vectors and linked lists, introducing the concept of positions to provide implementation independence.
16 Linear data structures
16 Linear data structuresmaznabili This document discusses linear data structures like lists, stacks, and queues. It describes how they can be implemented statically using arrays or dynamically using linked nodes. It specifically covers the List<T>, Stack<T>, and Queue<T> classes in C# which provide standard implementations of these data structures using resizable arrays. Examples are given of using the methods like Add, Push, Pop, Enqueue and Dequeue on the different data structures.
(How) can we benefit from adopting scala?
(How) can we benefit from adopting scala?Tomasz Wrobel Scala offers benefits from adopting it such as increased productivity through concise and expressive code, static typing with type inference, support for both object-oriented and functional programming paradigms, and interoperability with Java. Switching from Java to Scala involves some changes like using val for immutable variables and var for mutable, but overall the syntax is quite similar which eases the transition.
Lec3
Lec3Anjneya Varshney Queues and linked lists are common data structures. Queues follow FIFO ordering and allow insertion at the rear and removal from the front. Linked lists provide efficient insertion and removal by using nodes connected by pointers. Doubly linked lists allow efficient insertion and removal from both ends, enabling implementations of double-ended queues. Positions abstract the concept of location in a data structure and allow node-based operations on linked lists. Iterators encapsulate traversal of a data structure.
U3.stack queue
U3.stack queueSsankett Negi A queue is a data structure that follows the first-in, first-out (FIFO) principle. Elements are added to the rear of the queue and removed from the front. A queue can be implemented using an array, with indexes to track the front and rear elements. When an element is added (enqueued), the rear index is incremented; when an element is removed (dequeued), the front index is incremented and the element at that index is returned. The queue has a limited capacity based on the size of the array.
Meet scala
Meet scalaWojciech Pituła Scala is a multi-paradigm programming language that runs on the Java Virtual Machine. It integrates features of object-oriented and functional programming languages. Some key features of Scala include: supporting both object-oriented and functional programming, providing improvements over Java in areas like syntax, generics, and collections, and introducing new features like pattern matching, traits, and implicit conversions.
Educational slides by venay magen
Educational slides by venay magenvenaymagen19 Venay Magen likes the shading red, particularly on Tuesdays. He cherishes to drink bourbon (on all days). He figured out how to drink whisky from his youth companion Zippo, when they went to class together at Mount Temple Comprehensive School. He is best known as the lead vocalist for the band MN3.
Scala-对Java的修正和超越
Scala-对Java的修正和超越Caoyuan Deng This document provides an overview of Scala and compares it to Java in 3 sentences:
Scala is a multi-paradigm programming language that runs on the Java Virtual Machine and interoperates seamlessly with Java, combining object-oriented and functional programming in one concise, high-level language. Scala improves on Java with features like closures, pattern matching, traits, and immutable data while maintaining a familiar syntax; it compiles to Java bytecode and allows Java and Scala code to interoperate. Scala aims to be a better language for writing concurrent, parallel and distributed applications than Java with its support for actors, futures and software transactional memory.
Scala collections api expressivity and brevity upgrade from java
Scala collections api expressivity and brevity upgrade from javaIndicThreads Session presented at the 6th IndicThreads.com Conference on Java held in Pune, India on 2-3 Dec. 2011.
http://Java.IndicThreads.com
Collection implementation classes - Arraylist, linkedlist, Stack
Collection implementation classes - Arraylist, linkedlist, StackRajalakshmiS74 Collection Implementation classes
stack.ppt
stack.pptssuserec1395 This document discusses different implementations of stacks and queues using linked lists and arrays. It describes how to implement a stack using a linked list, with push and pop operations adding and removing nodes from the front of the list. Queues are described as first-in first-out data structures, with enqueue adding to the back and dequeue removing from the front. Examples are given of using stacks and queues for applications like balancing parentheses in expressions and evaluating postfix notation.
Scala
Scalasuraj_atreya Scala is a programming language that runs on the Java Virtual Machine (JVM) and is designed to express common programming patterns in a concise, elegant, and type-safe way. Some key points about Scala include that it is functional and object-oriented, statically typed, and allows seamless integration with Java. Scala code is often more concise than equivalent Java code through features like pattern matching and immutable data structures. Functional programming principles like pure functions, recursion, and avoiding side effects are emphasized in Scala.
High Wizardry in the Land of Scala
High Wizardry in the Land of Scaladjspiewak The document provides an overview of higher-kinds, typeclasses, type-level encodings, and continuations in Scala. It discusses how kind systems classify types, how typeclasses allow abstraction over types, and examples of encoding data structures like linked lists at the type level. It also introduces delimited continuations in Scala and how they can be used to simulate control flow constructs like break statements.
Type classes 101 - classification beyond inheritance
Type classes 101 - classification beyond inheritanceAlexey Raga Inheritance and interfaces implementation are often used in languages like Java in order to express "Is-a" and "Can-do" capabilities. In Scala we can do better by separating these concerns using the concept of type classes.
Collections in java
Collections in javakejpretkopet Collections in Java include arrays, iterators, and interfaces like Collection, Set, List, and Map. Arrays have advantages like type checking and known size but are fixed. Collections generalize arrays, allowing resizable and heterogeneous groups through interfaces implemented by classes like ArrayList, LinkedList, HashSet and HashMap. Common operations include adding, removing, and iterating over elements.
Collections
Collectionsbsurya1989 The document discusses various collection types in Java including arrays, iterators, and common collection interfaces like Collection, Set, List, and Map. It describes the key characteristics of arrays, iterators, and common implementations of collection interfaces like ArrayList, LinkedList, HashSet, and TreeMap. The interfaces define common operations while classes implement the interfaces, providing different performance characteristics depending on the underlying data structure used.
Java-7: Collections
Java-7: CollectionsMasudul Haque A collection is an object that groups multiple elements into a single unit for storing, retrieving, manipulating and communicating data. Common Java collection interfaces include List, Set, and Map. Popular implementations are ArrayList, LinkedList, HashSet, TreeSet, HashMap and TreeMap. Collections provide benefits like reduced programming effort, increased speed and quality, interoperability of data, and software reuse.
Ad
More from Alex Miller (20)
Clojure/West Overview (12/1/11)
Clojure/West Overview (12/1/11)Alex Miller This is a high-level overview of the Clojure/West conference as of Dec 1, 2011. Everything is subject to change!
Concurrent Stream Processing
Concurrent Stream ProcessingAlex Miller This document discusses concurrent stream processing. It describes representing queries as trees of processing nodes connected by pipes. The nodes transform tuples flowing through the pipes and include operators like joins, filters, and projections. The execution model is event-driven with I/O threads streaming data to compute threads that run node tasks. Memory is managed using buffered pipes that can store data on disk. The system supports parallelism across plans, nodes, and tasks using a fork/join thread pool and concurrency primitives like semaphores and transactions.
Stream Execution with Clojure and Fork/join
Stream Execution with Clojure and Fork/joinAlex Miller One of the greatest benefits of Clojure is its ability to create simple, powerful abstractions that operate at the level of the problem while also operating at the level of the language.
This talk discusses a query processing engine built in Clojure that leverages this abstraction power to combine streams of data for efficient concurrent execution.
* Representing processing trees as s-expressions
* Streams as sequences of data
* Optimizing processing trees by manipulating s-expressions
* Direct execution of s-expression trees
* Compilation of s-expressions into nodes and pipes
* Concurrent processing nodes and pipes using a fork/join pool
Cracking clojure
Cracking clojureAlex Miller This document provides an overview of the Clojure programming language and its key features. It discusses Clojure's dynamic and functional nature, its use of immutable data and state management via atoms, refs, and agents. It also covers Clojure's interactive development environment via the REPL, its treatment of code as data, and how functions and macros are defined. Examples are provided of Clojure code for Conway's Game of Life.
Releasing Relational Data to the Semantic Web
Releasing Relational Data to the Semantic WebAlex Miller Enterprises are drowning in data that they can't find, access, or use.
For many years, enterprises have wrestled with the best way to combine all that data into actionable information without building systems that break as schemas evolve. Approaches like warehousing and ETL can be brittle in the face of changing data sources or expensive to create. Data integration at the application level is common but this results in significant complexity in the code. Data-oriented web services attempt to provide reusable sources of integrated data, however these have just added another layer of data access that constrain query and access patterns.
This talk will look at how semantic web technologies can be used to make existing data visible and actionable using standards like RDF (data), R2RML (data translation), OWL (schema definition and integration), SPARQL (federated query), and RIF (rules). The semantic web approach takes the data you already have and makes that data available for query and use across your existing data sources. This base capability is an excellent platform for building federated analytics.
Clojure: The Art of Abstraction
Clojure: The Art of AbstractionAlex Miller The document discusses how abstraction is central to programming and how Clojure is a good language for creating abstractions, noting that Clojure provides primitive expressions, means of combination through functions, and means of abstraction through functions, records, multimethods and protocols to build complex programs from simple ideas.
Tree Editing with Zippers
Tree Editing with ZippersAlex Miller The document discusses tree editing using zippers. It describes a zipper node protocol for navigating a tree structure with records and fields holding child nodes. The document provides examples of using a record zipper to apply tree pattern matching and evaluation rules to transform trees, such as rewriting a comparison operation tree into an equivalent form. It also briefly mentions Revelytix's use of zippers to translate SPARQL queries to SQL.
Groovy concurrency
Groovy concurrencyAlex Miller Using Groovy? Got lots of stuff to do at the same time? Then you need to take a look at GPars (“Jeepers!”), a library providing support for concurrency and parallelism in Groovy. GPars brings powerful concurrency models from other languages to Groovy and makes them easy to use with custom DSLs:
- Actors (Erlang and Scala)
- Dataflow (Io)
- Fork/join (Java)
- Agent (Clojure agents)
In addition to this support, GPars integrates with standard Groovy frameworks like Grails and Griffon.
Background, comparisons to other languages, and motivating examples will be given for the major GPars features.
Java Concurrency Gotchas
Java Concurrency GotchasAlex Miller The document discusses common concurrency problems in Java like shared mutable state, visibility issues, inconsistent synchronization, and unsafe publication and provides examples of how to properly implement threading concepts like locking, waiting and notifying with synchronization, volatile variables, atomic classes and safe initialization techniques to avoid concurrency bugs. It also cautions against unsafe practices like synchronizing on the wrong objects or misusing threading methods that can lead to deadlocks, race conditions and other concurrency problems.
Blogging ZOMG
Blogging ZOMGAlex Miller An overview of why you should blog, blogging platforms, tips on writing and ideas for blogs, and promotion and tracking of your blog.
Innovative Software
Innovative SoftwareAlex Miller A talk about doing innovative software development including embracing constraints, iterating towards product/market fit, and the qualities of a great innovative team. This presentation was given at the St. Louis Innovation Camp in Feb, 2010.
Scaling Your Cache
Scaling Your CacheAlex Miller Caching has been an essential strategy for greater performance in computing since the beginning of the field. Nearly all applications have data access patterns that make caching an attractive technique, but caching also has hidden trade-offs related to concurrency, memory usage, and latency.
As we build larger distributed systems, caching continues to be a critical technique for building scalable, high-throughput, low-latency applications. Large systems tend to magnify the caching trade-offs and have created new approaches to distributed caching. There are unique challenges in testing systems like these as well.
Ehcache and Terracotta provide a unique way to start with simple caching for a small system and grow that system over time with a consistent API while maintaining low-latency, high-throughput caching.
Caching In The Cloud
Caching In The CloudAlex Miller 5 minute talk from the St. Louis Cloud Camp about using Terracotta in the cloud for caching and more.
Scaling Your Cache And Caching At Scale
Scaling Your Cache And Caching At ScaleAlex Miller Caching has been an essential strategy for greater performance in computing since the beginning of the field. Nearly all applications have data access patterns that make caching an attractive technique, but caching also has hidden trade-offs related to concurrency, memory usage, and latency.
As we build larger distributed systems, caching continues to be a critical technique for building scalable, high-throughput, low-latency applications. Large systems tend to magnify the caching trade-offs and have created new approaches to distributed caching. There are unique challenges in testing systems like these as well.
Ehcache and Terracotta provide a unique way to start with simple caching for a small system and grow that system over time with a consistent API while maintaining low-latency, high-throughput caching.
Marshmallow Test
Marshmallow TestAlex Miller The document discusses the "Marshmallow Test" which studied children's ability to delay gratification. It found that children who were able to wait longer for a second marshmallow had better life outcomes including higher SAT scores, healthier habits, and more career and financial success. While delaying gratification is difficult, the document suggests people can learn strategies to improve self-control when faced with temptation.
Strange Loop Conference 2009
Strange Loop Conference 2009Alex Miller The document summarizes the Strange Loop 2009 developer conference that was held on October 22-23, 2009 in University City, Missouri. It included keynotes on the future of Java and minimalism in software. Technical sessions covered topics like Java, .NET, Groovy, Clojure, Ruby, Agile practices, web development, data management and mobile development. There were also lunch panels, short passion talks and a Thursday night party.
Cold Hard Cache
Cold Hard CacheAlex Miller An examination of caching, Ehcache, Hibernate second level-cache, Terracotta caching, and the future.
Scaling Hibernate with Terracotta
Scaling Hibernate with TerracottaAlex Miller Terracotta (an open source technology) provides a clustered, durable virtual heap. Terracotta's goal is to make Java apps scale with as little effort as possible. If you are using Hibernate, there are several patterns that can be used to leverage Terracotta and reduce the load on your database so your app can scale.
First, you can use the Terracotta clustered Hibernate cache. This is a high-performance clustered cache and allows you to avoid hitting the database on all nodes in your cluster. It's suitable, not just for read-only, but also for read-mostly and read-write use cases, which traditionally have not been viewed as good use cases for Hibernate second level cache.
Another high performance option is to disconnect your POJOs from their Hibernate session and manage them entirely in Terracotta shared heap instead. This is a great option for conversational data where the conversational data is not of long-term interest but must be persistent and highly-available. This pattern can significantly reduce your database load but does require more changes to your application than using second-level cache.
This talk will examine the basics of what Terracotta provides and examples of how you can scale your Hibernate application with both clustered second level cache and detached clustered state. Also, we'll take a look at Terracotta's Hibernate-specific monitoring tools.
Project Fortress
Project FortressAlex Miller An overview of Project Fortress, a research language being developed at Sun, focusing on scientific and large-scale computing.
Java Concurrency Idioms
Java Concurrency IdiomsAlex Miller An overview of Java concurrency idioms for managing shared data, coordinating multiple threads, and managing work.
Ad
Recently uploaded (20)
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
Heap, Types of Heap, Insertion and Deletion
Heap, Types of Heap, Insertion and DeletionJaydeep Kale This pdf will explain what is heap, its type, insertion and deletion in heap and Heap sort
Splunk Security Update | Public Sector Summit Germany 2025
Splunk Security Update | Public Sector Summit Germany 2025Splunk Splunk Security Update
Sprecher: Marcel Tanuatmadja
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
AI and Data Privacy in 2025: Global Trends
AI and Data Privacy in 2025: Global TrendsInData Labs In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
Andrew Marnell: Transforming Business Strategy Through Data-Driven Insights
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
Linux Professional Institute LPIC-1 Exam.pdf
Linux Professional Institute LPIC-1 Exam.pdfRHCSA Guru Introduction to LPIC-1 Exam - overview, exam details, price and job opportunities
Technology Trends in 2025: AI and Big Data Analytics
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
tecnologias de las primeras civilizaciones.pdf
tecnologias de las primeras civilizaciones.pdffjgm517 descaripcion detallada del avance de las tecnologias en mesopotamia, egipto, roma y grecia.
#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025
#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025BookNet Canada Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, transcript, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
Semantic Cultivators : The Critical Future Role to Enable AI
Semantic Cultivators : The Critical Future Role to Enable AIartmondano By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Cybersecurity Identity and Access Solutions using Azure AD
Cybersecurity Identity and Access Solutions using Azure ADVICTOR MAESTRE RAMIREZ Cybersecurity Identity and Access Solutions using Azure AD
Dev Dives: Automate and orchestrate your processes with UiPath Maestro
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
2025-05-Q4-2024-Investor-Presentation.pptx
2025-05-Q4-2024-Investor-Presentation.pptxSamuele Fogagnolo Cloudflare Q4 Financial Results Presentation
Role of Data Annotation Services in AI-Powered Manufacturing
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdf
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
Big Data Analytics Quick Research Guide by Arthur Morgan
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc. Impelsys provided a robust testing solution, leveraging a risk-based and requirement-mapped approach to validate ICU Connect and CritiXpert. A well-defined test suite was developed to assess data communication, clinical data collection, transformation, and visualization across integrated devices.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.