The document provides tips on Java concurrency. It discusses using synchronized, volatile and java.util.concurrent classes like AtomicInteger for thread-safe operations on shared resources like account balances. Synchronized uses locks for mutual exclusion but volatile only ensures visibility, so atomic classes use Compare-And-Swap (CAS) operations for thread-safe updates without blocking.
The document introduces Scala and provides an overview of Scala basics including variables, functions, objects, classes, traits, pattern matching, for-comprehensions and more. It also discusses Scala's capabilities for generic programming, lazy evaluation, and integration with Java. Examples are provided throughout to demonstrate Scala concepts.
The document provides an overview of strings in .NET, including string operations, empty strings vs String.Empty, null/empty checks, the string pool, string properties, and StringBuilder. It discusses performance differences between various string concatenation and empty string initialization methods. The document also includes code examples and benchmarks to demonstrate string pooling, null/empty checks, and the performance advantages of StringBuilder over string concatenation for multiple modifications. It concludes with references to additional resources on strings in .NET.
The Ring programming language version 1.10 book - Part 44 of 212Mahmoud Samir Fayed
This document summarizes Ring programming language functions for various tasks like checking characters, reading/writing files, working with strings, math operations, dates and more. It provides the syntax and examples for 48 functions including IsSpecial(), LineCount(), Factorial(), Fibonacci(), File2List(), StartsWith(), MatrixMultiplication(), Sleep() and others.
The Ring programming language version 1.7 book - Part 38 of 196Mahmoud Samir Fayed
This document summarizes Ring programming language functions for various tasks like checking characters, reading/writing files, math operations, date functions and more. It provides the syntax and examples for 44 functions, including functions to check if a character is special, find the factorial of a number, multiply matrices, read lines from a file, and make directories.
The document discusses data structures and algorithms. It defines key concepts like algorithms, programs, data structures, and asymptotic analysis. It explains how to analyze algorithms to determine their efficiency, including analyzing best, worst, and average cases. Common notations for describing asymptotic running time like Big-O, Big-Omega, and Big-Theta are introduced. The document provides examples of analyzing sorting algorithms like insertion sort and calculating running times. It also discusses techniques for proving an algorithm's correctness like assertions and loop invariants.
The Ring programming language version 1.5.2 book - Part 32 of 181Mahmoud Samir Fayed
The document provides documentation on Ring programming language functions for working with classes, objects, attributes and methods. It summarizes over 40 functions, including classes() to get class names, isclass() to check if a class exists, packageclasses() to get classes in a package, addattribute() to add attributes to an object, and getattribute()/setattrbute() to get/set attribute values. Examples are given for each function.
The Ring programming language version 1.9 book - Part 41 of 210Mahmoud Samir Fayed
This document provides summaries of Ring programming functions related to classes and objects. It describes functions for getting class names and checking class definitions, getting classes within packages, and checking class and attribute definitions. It also summarizes functions for working with objects, including getting/setting attributes and methods, checking if an object or attribute exists, and adding attributes and methods to objects. Examples are provided to demonstrate the usage of each function.
Scala is a multi-paradigm programming language that supports functional, object-oriented and imperative programming paradigms. The document discusses Scala's support for types, expressions, objects, functions, and provides examples of using Scala for expressions, functions, control structures, patterns, spaces and actors.
The document introduces Scala and provides an overview of Scala basics including variables, functions, objects, classes, traits, pattern matching, for-comprehensions and more. It also discusses Scala's capabilities for generic programming, lazy evaluation, and integration with Java. Examples are provided throughout to demonstrate Scala concepts.
The document provides an overview of strings in .NET, including string operations, empty strings vs String.Empty, null/empty checks, the string pool, string properties, and StringBuilder. It discusses performance differences between various string concatenation and empty string initialization methods. The document also includes code examples and benchmarks to demonstrate string pooling, null/empty checks, and the performance advantages of StringBuilder over string concatenation for multiple modifications. It concludes with references to additional resources on strings in .NET.
The Ring programming language version 1.10 book - Part 44 of 212Mahmoud Samir Fayed
This document summarizes Ring programming language functions for various tasks like checking characters, reading/writing files, working with strings, math operations, dates and more. It provides the syntax and examples for 48 functions including IsSpecial(), LineCount(), Factorial(), Fibonacci(), File2List(), StartsWith(), MatrixMultiplication(), Sleep() and others.
The Ring programming language version 1.7 book - Part 38 of 196Mahmoud Samir Fayed
This document summarizes Ring programming language functions for various tasks like checking characters, reading/writing files, math operations, date functions and more. It provides the syntax and examples for 44 functions, including functions to check if a character is special, find the factorial of a number, multiply matrices, read lines from a file, and make directories.
The document discusses data structures and algorithms. It defines key concepts like algorithms, programs, data structures, and asymptotic analysis. It explains how to analyze algorithms to determine their efficiency, including analyzing best, worst, and average cases. Common notations for describing asymptotic running time like Big-O, Big-Omega, and Big-Theta are introduced. The document provides examples of analyzing sorting algorithms like insertion sort and calculating running times. It also discusses techniques for proving an algorithm's correctness like assertions and loop invariants.
The Ring programming language version 1.5.2 book - Part 32 of 181Mahmoud Samir Fayed
The document provides documentation on Ring programming language functions for working with classes, objects, attributes and methods. It summarizes over 40 functions, including classes() to get class names, isclass() to check if a class exists, packageclasses() to get classes in a package, addattribute() to add attributes to an object, and getattribute()/setattrbute() to get/set attribute values. Examples are given for each function.
The Ring programming language version 1.9 book - Part 41 of 210Mahmoud Samir Fayed
This document provides summaries of Ring programming functions related to classes and objects. It describes functions for getting class names and checking class definitions, getting classes within packages, and checking class and attribute definitions. It also summarizes functions for working with objects, including getting/setting attributes and methods, checking if an object or attribute exists, and adding attributes and methods to objects. Examples are provided to demonstrate the usage of each function.
Scala is a multi-paradigm programming language that supports functional, object-oriented and imperative programming paradigms. The document discusses Scala's support for types, expressions, objects, functions, and provides examples of using Scala for expressions, functions, control structures, patterns, spaces and actors.
This document provides an overview of coding in style with Scala. It discusses embracing expressions over statements, operator notation, using language features to simplify code, favoring higher-order functions, manipulating data with collections, working with asynchronous code and futures, macro programming to transform ASTs, and new features coming in Scala 2.11 like potential modularization and performance improvements. The document encourages idiomatic Scala techniques like favoring expressions, embracing operators, letting the language do work, aiming higher with higher-order functions, and embracing new language features.
I gave this presentation on January 14, 2010 to the Atlanta Scala user group. It covers Scala's implementation of operator overloading, as well as touching on implicit conversions.
Object Equality In Scala, means comparing two objects by their values and references.Generally, equality is ubiquitous in programming. It is also more tricky than it looks at first glance. This presentation looks at object equality in detail and gives some recommendations to consider when we design our own equality tests.
The Ring programming language version 1.10 book - Part 46 of 212Mahmoud Samir Fayed
This document provides summaries of various classes in the Ring programming language including the Queue, HashTable, Tree, Math, DateTime, File, and System classes. For each class, it lists key methods and provides examples of how to use the methods by creating objects of the classes and calling their methods. It demonstrates adding, removing, and printing items from queues; adding, retrieving, and checking items in hashtables; setting values and adding children to tree nodes; and using math, date/time, file I/O, and system methods.
The Ring programming language version 1.5.3 book - Part 33 of 184Mahmoud Samir Fayed
This document provides documentation on various functions available in the Ring standard library (stdlib.ring). It describes functions for outputting text, getting user input, and retrieving file paths. Some key functions covered include puts() and print() for printing, getstring() and getnumber() for user input, and apppath() and justfilepath() for file paths. The document is intended to help users learn about and utilize the capabilities provided by the Ring stdlib.
The document discusses Groovy concepts including types, operators, objects, structures, closures, control structures, and methods for strings, lists, and maps. It covers topics such as optional syntax, imports, type checking, numbers, strings, GStrings, lists, maps, enums, operators, date/time operations, and closure usage including delegation and implicit parameters. Groovy allows for optional syntax elements, dynamic typing, closures, and methods to operate on common data types like strings, lists, and maps.
The document discusses Java 8 Stream API, which provides a new way to process collections of objects. It introduces key concepts of streams such as intermediate and terminal operations, and examples of using streams to filter, map, sort and collect data. Common intermediate operations include filter, sorted, map, and terminal operations include collect, reduce, count. Streams can make processing collections more declarative, optimize parallel operations, and abstract away iterations.
This document discusses socket programming in Java. It begins by explaining the key classes for socket programming - InetAddress, Socket, ServerSocket, DatagramSocket, DatagramPacket, and MulticastSocket. It then provides examples of TCP client-server applications using Sockets and ServerSockets, UDP client-server applications using DatagramSockets and DatagramPackets, and multicast applications using MulticastSockets. The examples demonstrate how to send and receive data over sockets in both text and binary formats.
Model-Driven Software Development - Static Analysis & Error CheckingEelco Visser
The document discusses static analysis and error checking, including name resolution, type analysis, and checking for consistency. It describes analyzing syntax definitions, performing static analysis to check consistency beyond well-formedness, and reporting errors. Key aspects covered include type analysis, name resolution, reference resolution, and checking constraints.
The Ring programming language version 1.5.2 book - Part 33 of 181Mahmoud Samir Fayed
This document provides summaries of various functions available in the Ring standard library (stdlib). It describes functions for input/output like print(), puts(), getstring(), as well as string functions like split(), capitalized(), startswith(), endswith(). It also covers list functions like map(), filter(), value(), mathematical functions like factorial(), fibonacci(), and file functions like file2list(), list2file(). Examples are given to demonstrate the usage of each function.
JAVA 8 : Migration et enjeux stratégiques en entrepriseSOAT
La sortie de Java 8 est une véritable révolution dont l’enjeu dépasse de loin la simple évolution d’un langage et de ses APIs. Rdv sur notre chaîne Youtube pour revoir la conférence :
Après une version 7 peu convaincante, la version 8 replace Java au premier rang des langages objets actuels.
En parfaite adéquation avec les besoins des projets et les possibilités offertes par les environnements matériels actuels, cette nouvelle version apporte une modernisation du langage et de ses API, un suivi des performances des processeurs et des améliorations de la JVM.
Quels sont les nouveaux concepts introduits par Java 8 ? En quoi les expressions lambdas et l’API Stream représentent une avancée majeure de la plateforme ? Quelle stratégie adopter pour migrer vers Java 8 en toute sécurité et en diminuant au maximum sa dette technique ?
The Ring programming language version 1.5.3 book - Part 34 of 184Mahmoud Samir Fayed
The document summarizes 42 functions from the Ring standard library. It provides the syntax and examples of use for each function, which include functions for file handling, string manipulation, lists, math operations, and date calculations. Some of the key functions covered are justfilepath(), split(), map(), isprime(), gcd(), and dayofweek().
The Ring programming language version 1.6 book - Part 35 of 189Mahmoud Samir Fayed
This document provides a summary of Ring object-oriented programming functions including:
- Functions to get class, object, and attribute information like classname(), objectid(), isobject(), attributes()
- Functions to add/remove attributes and methods like addattribute(), addmethod()
- Functions to get/set attribute values like getattribute(), setattribute()
- Other functions like mergemethods() to share methods between classes, and packagename() to get the imported package name
The document explains each function and provides examples of their usage.
The Ring programming language version 1.5 book - Part 6 of 31Mahmoud Samir Fayed
The document provides documentation on Ring programming language functions for checking data types, objects, classes, and packages. It describes functions such as isglobal(), isfunction(), packages(), classname(), objectid(), isobject(), attributes(), methods(), addattribute(), and packagename(). Each function is explained with its syntax and examples showing how to use the function to check types, retrieve object and class information, modify objects, and more.
The Ring programming language version 1.4.1 book - Part 9 of 31Mahmoud Samir Fayed
This document summarizes reflection and meta-programming functions in the Ring programming language. It describes functions to get information about code at runtime like variable names, functions, classes and more. It also describes functions to check and modify objects, like getting/adding attributes, checking if an attribute exists, and more. These meta-programming capabilities allow Ring programs to introspect and modify their own code and objects at runtime.
Slides of a talk I gave at work on Scala. It is geared toward Java developers. Some of the examples are in my company's domain, which is analyzing energy usage (i.e. a "read" is an electric meter read).
This document summarizes Jeffrey Zhao's background and areas of expertise. It includes:
1. Jeffrey Zhao is a software engineer from China who blogs at http://blog.zhaojie.me/. His areas of expertise include JavaScript, F#, Scala, C#, Python, .NET and Mono.
2. The document provides code examples in different programming languages for common algorithms and data structures like sorting and grouping, demonstrating Jeffrey's proficiency in languages like C#, F#, Ruby, Java, and JavaScript.
3. It introduces Jscex, a JavaScript library created by Jeffrey that allows writing asynchronous code in a synchronous style using JavaScript computation expressions. Jscex compiles asynchronous code into
The Ring programming language version 1.2 book - Part 22 of 84Mahmoud Samir Fayed
The document provides documentation on Ring programming language functions for working with classes, objects, attributes and methods. It describes functions such as classes(), packageclasses(), isclass(), classname(), objectid(), isobject(), attributes(), methods(), isattribute(), addattribute(), addmethod(), getattribute(), and setattribute(). Examples are given showing how to use each function to get information about classes and objects, check types, add/get/set attributes and methods, etc.
Scala - where objects and functions meetMario Fusco
The document provides an overview of a two-day training course on Scala that covers topics like object orientation, functional programming, pattern matching, generics, traits, case classes, tuples, collections, concurrency, options and monads. The course aims to show how Scala combines object-oriented and functional programming approaches and provides examples of commonly used Scala features like classes, traits, pattern matching, generics and collections.
1. The code sample provided defines a simple Java class called HelloWorld with a main method that prints "Epic Fail".
2. The class contains a single public static void main method that takes an array of String arguments.
3. Within the main method it prints the text "Epic Fail" without any other processing or output.
The document discusses different ways to implement threading in Java programs. It provides code examples to demonstrate creating threads by extending the Thread class and implementing the Runnable interface. The code examples show printing output from both the main thread and child threads to illustrate threading concepts. Socket programming and RMI examples are also provided with code to implement client-server applications using threads.
Slides from my talk at the Junction (Jan 24, 2013)
Single-core performance has hit a ceiling, and building web-scale multi-core applications using imperative programming models is nightmarishly difficult. Parallel programming creates a new set of challenges, best practices and design patterns. Scala is designed to enable building scalable systems, elegantly blending functional and object oriented paradigms into an expressive and concise language, while retaining interoperability with Java. Scala is the fastest growing JVM programming language, being rapidly adopted by leading companies such as Twitter, LinkedIn and FourSquare.
This presentation provides a comprehensive overview of the language, which managed to increase type safety while feeling more dynamic, being more concise and improving readability at the same time. We will see how Scala simplifies real life problems by empowering the developer with powerful functional programming primitives, without giving up on the object oriented paradigm. The overview includes tools for multi-core programming in Scala, the type system, collection framework and domain-specific languages. We’ll explore the power of compile-time meta-programming, which is made possible by the newly released Scala 2.10, and get a glimpse into what to expect from 2.11 in 2014.
We will also see how Scala helps overcome the inherent limitations of Java, such as type erasure, array covariance and boxing overhead.
Multiple examples emphasize how Scala pushes the JVM harder than any other mainstream language through the infinite number of boilerplate busters, increased type safety and productivity boosters from a Java developer’s perspective.
This document provides an overview of coding in style with Scala. It discusses embracing expressions over statements, operator notation, using language features to simplify code, favoring higher-order functions, manipulating data with collections, working with asynchronous code and futures, macro programming to transform ASTs, and new features coming in Scala 2.11 like potential modularization and performance improvements. The document encourages idiomatic Scala techniques like favoring expressions, embracing operators, letting the language do work, aiming higher with higher-order functions, and embracing new language features.
I gave this presentation on January 14, 2010 to the Atlanta Scala user group. It covers Scala's implementation of operator overloading, as well as touching on implicit conversions.
Object Equality In Scala, means comparing two objects by their values and references.Generally, equality is ubiquitous in programming. It is also more tricky than it looks at first glance. This presentation looks at object equality in detail and gives some recommendations to consider when we design our own equality tests.
The Ring programming language version 1.10 book - Part 46 of 212Mahmoud Samir Fayed
This document provides summaries of various classes in the Ring programming language including the Queue, HashTable, Tree, Math, DateTime, File, and System classes. For each class, it lists key methods and provides examples of how to use the methods by creating objects of the classes and calling their methods. It demonstrates adding, removing, and printing items from queues; adding, retrieving, and checking items in hashtables; setting values and adding children to tree nodes; and using math, date/time, file I/O, and system methods.
The Ring programming language version 1.5.3 book - Part 33 of 184Mahmoud Samir Fayed
This document provides documentation on various functions available in the Ring standard library (stdlib.ring). It describes functions for outputting text, getting user input, and retrieving file paths. Some key functions covered include puts() and print() for printing, getstring() and getnumber() for user input, and apppath() and justfilepath() for file paths. The document is intended to help users learn about and utilize the capabilities provided by the Ring stdlib.
The document discusses Groovy concepts including types, operators, objects, structures, closures, control structures, and methods for strings, lists, and maps. It covers topics such as optional syntax, imports, type checking, numbers, strings, GStrings, lists, maps, enums, operators, date/time operations, and closure usage including delegation and implicit parameters. Groovy allows for optional syntax elements, dynamic typing, closures, and methods to operate on common data types like strings, lists, and maps.
The document discusses Java 8 Stream API, which provides a new way to process collections of objects. It introduces key concepts of streams such as intermediate and terminal operations, and examples of using streams to filter, map, sort and collect data. Common intermediate operations include filter, sorted, map, and terminal operations include collect, reduce, count. Streams can make processing collections more declarative, optimize parallel operations, and abstract away iterations.
This document discusses socket programming in Java. It begins by explaining the key classes for socket programming - InetAddress, Socket, ServerSocket, DatagramSocket, DatagramPacket, and MulticastSocket. It then provides examples of TCP client-server applications using Sockets and ServerSockets, UDP client-server applications using DatagramSockets and DatagramPackets, and multicast applications using MulticastSockets. The examples demonstrate how to send and receive data over sockets in both text and binary formats.
Model-Driven Software Development - Static Analysis & Error CheckingEelco Visser
The document discusses static analysis and error checking, including name resolution, type analysis, and checking for consistency. It describes analyzing syntax definitions, performing static analysis to check consistency beyond well-formedness, and reporting errors. Key aspects covered include type analysis, name resolution, reference resolution, and checking constraints.
The Ring programming language version 1.5.2 book - Part 33 of 181Mahmoud Samir Fayed
This document provides summaries of various functions available in the Ring standard library (stdlib). It describes functions for input/output like print(), puts(), getstring(), as well as string functions like split(), capitalized(), startswith(), endswith(). It also covers list functions like map(), filter(), value(), mathematical functions like factorial(), fibonacci(), and file functions like file2list(), list2file(). Examples are given to demonstrate the usage of each function.
JAVA 8 : Migration et enjeux stratégiques en entrepriseSOAT
La sortie de Java 8 est une véritable révolution dont l’enjeu dépasse de loin la simple évolution d’un langage et de ses APIs. Rdv sur notre chaîne Youtube pour revoir la conférence :
Après une version 7 peu convaincante, la version 8 replace Java au premier rang des langages objets actuels.
En parfaite adéquation avec les besoins des projets et les possibilités offertes par les environnements matériels actuels, cette nouvelle version apporte une modernisation du langage et de ses API, un suivi des performances des processeurs et des améliorations de la JVM.
Quels sont les nouveaux concepts introduits par Java 8 ? En quoi les expressions lambdas et l’API Stream représentent une avancée majeure de la plateforme ? Quelle stratégie adopter pour migrer vers Java 8 en toute sécurité et en diminuant au maximum sa dette technique ?
The Ring programming language version 1.5.3 book - Part 34 of 184Mahmoud Samir Fayed
The document summarizes 42 functions from the Ring standard library. It provides the syntax and examples of use for each function, which include functions for file handling, string manipulation, lists, math operations, and date calculations. Some of the key functions covered are justfilepath(), split(), map(), isprime(), gcd(), and dayofweek().
The Ring programming language version 1.6 book - Part 35 of 189Mahmoud Samir Fayed
This document provides a summary of Ring object-oriented programming functions including:
- Functions to get class, object, and attribute information like classname(), objectid(), isobject(), attributes()
- Functions to add/remove attributes and methods like addattribute(), addmethod()
- Functions to get/set attribute values like getattribute(), setattribute()
- Other functions like mergemethods() to share methods between classes, and packagename() to get the imported package name
The document explains each function and provides examples of their usage.
The Ring programming language version 1.5 book - Part 6 of 31Mahmoud Samir Fayed
The document provides documentation on Ring programming language functions for checking data types, objects, classes, and packages. It describes functions such as isglobal(), isfunction(), packages(), classname(), objectid(), isobject(), attributes(), methods(), addattribute(), and packagename(). Each function is explained with its syntax and examples showing how to use the function to check types, retrieve object and class information, modify objects, and more.
The Ring programming language version 1.4.1 book - Part 9 of 31Mahmoud Samir Fayed
This document summarizes reflection and meta-programming functions in the Ring programming language. It describes functions to get information about code at runtime like variable names, functions, classes and more. It also describes functions to check and modify objects, like getting/adding attributes, checking if an attribute exists, and more. These meta-programming capabilities allow Ring programs to introspect and modify their own code and objects at runtime.
Slides of a talk I gave at work on Scala. It is geared toward Java developers. Some of the examples are in my company's domain, which is analyzing energy usage (i.e. a "read" is an electric meter read).
This document summarizes Jeffrey Zhao's background and areas of expertise. It includes:
1. Jeffrey Zhao is a software engineer from China who blogs at http://blog.zhaojie.me/. His areas of expertise include JavaScript, F#, Scala, C#, Python, .NET and Mono.
2. The document provides code examples in different programming languages for common algorithms and data structures like sorting and grouping, demonstrating Jeffrey's proficiency in languages like C#, F#, Ruby, Java, and JavaScript.
3. It introduces Jscex, a JavaScript library created by Jeffrey that allows writing asynchronous code in a synchronous style using JavaScript computation expressions. Jscex compiles asynchronous code into
The Ring programming language version 1.2 book - Part 22 of 84Mahmoud Samir Fayed
The document provides documentation on Ring programming language functions for working with classes, objects, attributes and methods. It describes functions such as classes(), packageclasses(), isclass(), classname(), objectid(), isobject(), attributes(), methods(), isattribute(), addattribute(), addmethod(), getattribute(), and setattribute(). Examples are given showing how to use each function to get information about classes and objects, check types, add/get/set attributes and methods, etc.
Scala - where objects and functions meetMario Fusco
The document provides an overview of a two-day training course on Scala that covers topics like object orientation, functional programming, pattern matching, generics, traits, case classes, tuples, collections, concurrency, options and monads. The course aims to show how Scala combines object-oriented and functional programming approaches and provides examples of commonly used Scala features like classes, traits, pattern matching, generics and collections.
1. The code sample provided defines a simple Java class called HelloWorld with a main method that prints "Epic Fail".
2. The class contains a single public static void main method that takes an array of String arguments.
3. Within the main method it prints the text "Epic Fail" without any other processing or output.
The document discusses different ways to implement threading in Java programs. It provides code examples to demonstrate creating threads by extending the Thread class and implementing the Runnable interface. The code examples show printing output from both the main thread and child threads to illustrate threading concepts. Socket programming and RMI examples are also provided with code to implement client-server applications using threads.
Slides from my talk at the Junction (Jan 24, 2013)
Single-core performance has hit a ceiling, and building web-scale multi-core applications using imperative programming models is nightmarishly difficult. Parallel programming creates a new set of challenges, best practices and design patterns. Scala is designed to enable building scalable systems, elegantly blending functional and object oriented paradigms into an expressive and concise language, while retaining interoperability with Java. Scala is the fastest growing JVM programming language, being rapidly adopted by leading companies such as Twitter, LinkedIn and FourSquare.
This presentation provides a comprehensive overview of the language, which managed to increase type safety while feeling more dynamic, being more concise and improving readability at the same time. We will see how Scala simplifies real life problems by empowering the developer with powerful functional programming primitives, without giving up on the object oriented paradigm. The overview includes tools for multi-core programming in Scala, the type system, collection framework and domain-specific languages. We’ll explore the power of compile-time meta-programming, which is made possible by the newly released Scala 2.10, and get a glimpse into what to expect from 2.11 in 2014.
We will also see how Scala helps overcome the inherent limitations of Java, such as type erasure, array covariance and boxing overhead.
Multiple examples emphasize how Scala pushes the JVM harder than any other mainstream language through the infinite number of boilerplate busters, increased type safety and productivity boosters from a Java developer’s perspective.
OBJECTS IN Object Oriented Programming .pptSaadAsim11
An object is an instance of a class that has an identity, state, and behavior. The identity is defined by the object's name, state represents the data values of its attributes, and behavior is represented by the functions defined in its class. Objects can be created by declaring a variable of a class type, which allocates memory for the object. Objects can be passed as arguments to functions by value, making a copy, or by reference, where changes made inside the function affect the actual object. A method can return an object as the return value.
This document provides an overview of Scala and compares it to Java. It discusses Scala's object-oriented and functional capabilities, how it compiles to JVM bytecode, and benefits like less boilerplate code and support for functional programming. Examples are given of implementing a simple Property class in both Java and Scala to illustrate concepts like case classes, immutable fields, and less lines of code in Scala. The document also touches on Java interoperability, learning Scala gradually, XML processing capabilities, testing frameworks, and tool/library support.
Tips and Tricks of Developing .NET ApplicationJoni
This document provides tips and best practices for developing .NET applications. It covers general best practices such as optimization of loops, proper object disposal, and avoiding unnecessary object instantiation. It also includes ASP.NET specific tips like disabling viewstate if not used and avoiding unnecessary round trips to the server. Windows Forms tips involve using multithreading properly and marshaling method calls to the correct thread. The document recommends using existing libraries and not reinventing functionality unnecessarily.
This document discusses object initialization in Java. It explains that in Java, constructors allow objects to be initialized when they are created. Constructors ensure that class member variables and objects have initial values before an object is used. The document provides examples of how to write constructors, how to overload constructors, and how to use the this keyword in constructors. It also discusses static initialization and the use of toString() methods.
This document discusses object initialization in Java. It explains that in Java, constructors allow objects to be initialized when they are created. Constructors ensure that class member variables and objects are properly initialized before use. The document provides examples of how to write classes with constructors and use constructor overloading. It also discusses static initialization, the this keyword, and recursion.
This document summarizes key similarities and differences between Scala and Java types, variables, methods, classes, collections, control structures, and other language features. Some of the main points covered include:
- Type definitions, variables, and methods are defined similarly but with different syntax in Scala vs Java
- Classes and traits in Scala are like classes and interfaces in Java
- Scala avoids static methods and instead uses singleton objects
- Control structures like if/else, for loops, and exceptions work similarly
- Scala supports features like tuples, pattern matching, and expression-oriented programming that have no direct equivalent in Java
The document contains code snippets for several Java programs including:
1. An Armstrong number checker that uses recursion to check if a number is an Armstrong number.
2. A binary search program that searches an integer array using a binary search algorithm.
3. A binary search on a float array using the Arrays binarySearch method.
The document then continues with additional code examples for recursive binary search, bubble sort, constructors, converting between object and primitive types, data input/output streams, encapsulation, enumerating a vector, exception handling, and creating threads by extending the Thread class.
This document summarizes some of the key differences between Scala and Java syntax. It covers topics like type definitions, variables, methods, classes, traits, collections, exceptions, control flow, and packages. Overall, the document shows that Scala code is more concise and expressive than equivalent Java code for many common programming constructs.
Kamil Chmielewski, Jacek Juraszek - "Hadoop. W poszukiwaniu złotego młotka."sjabs
The document discusses Hadoop and its applications. It provides examples of companies like Facebook and their use of Hadoop. It also discusses Hadoop components like HDFS, MapReduce, Pig and HBase. It provides examples of using Hadoop with databases like MongoDB and search engines like Solr. It notes that not every problem requires large-scale solutions and discusses potential use cases for Hadoop including log analysis, indexing documents and building recommendation systems.
This document provides examples of refactoring Java code to use Guava libraries and utilities. It shows code snippets before and after refactoring to use Guava's Objects, Preconditions, Collections, Splitter, Joiner, Ranges and other utilities to clean up code and make it more readable and robust. Refactoring includes using Guava to validate arguments, create immutable collections, handle nulls safely, join/split strings, and represent ranges.
The document provides an overview of Scala concepts for Java programmers, including object-oriented features, pattern matching, functional programming constructs like immutability and higher-order functions, actors and futures for concurrency, and implicits. Key concepts covered include case classes, lazy evaluation, parallel collections, currying, partial functions, and implicit parameters.
This document discusses concurrent programming and multithreaded programming in Java. It covers key topics such as creating and controlling threads, thread safety and synchronization, and using bounded queues to allow cooperation between producer and consumer threads.
This document discusses various iteration techniques in Java including for loops, iterators, and enhanced for loops. It provides examples of iterating over lists, sets, maps, and arrays. It also summarizes common object methods like toString(), equals(), hashCode(), and finalize(). The finalize() method is called by the garbage collector before an object is destroyed to allow for cleanup.
This document provides an introduction to Groovy for Java developers. It discusses Groovy's features such as closures, optional typing and syntax, and how it compiles to Java bytecode. It then provides examples of writing a simple Groovy script to generate XML, using closures, mocking objects in tests, and building projects with Ant.
Scala is becoming the language of choice for many development teams. This talk highlights how Scala excels in the world of multi-core processing and explores how it compares to Java 8.
Video Presentation: http://youtu.be/8vxTowBXJSg
This document discusses stacks as an abstract data type (ADT) and their implementation in Java. It begins by defining an ADT as having a specific interface of operations and axioms defining the semantics of those operations. Stacks are introduced as a LIFO data structure that supports push, pop, and top operations. The document then discusses implementing a stack interface in Java using exceptions to handle errors. It provides an example array-based stack implementation in Java using an array and index to track elements. Finally, it discusses an application of stacks to efficiently compute the span of stock price changes over time by using a stack to track previous higher prices.
The document discusses various String methods in Java:
- The charAt() method returns the character at a given index in the String.
- The compareTo() method compares two Strings lexicographically and returns an integer indicating their relative ordering.
- The indexOf() method returns the index of the first occurrence of a character or substring in the given String. It has overloads to specify a starting index for the search.
The document discusses Clojure software transactional memory (STM). It explains that Clojure uses STM as an alternative to atoms, agents and vars for shared mutable state. STM provides ACID transactional guarantees and uses multi-version concurrency control. The document includes a diagram demonstrating two sample transactions operating on a shared reference with STM.
This document discusses database tables for orders and items with fields for join order, order ID, item code, and grouping by item code to link order details to item info.
1. The equals method in Java compares object references using ==, while for String it compares character values using equals(). The getClass() and instanceof operators can be used to check the type of an object.
2. Polymorphism allows a parent class reference to refer to a child class object without knowing the exact type.
3. Java APIs like String, ArrayList, HashMap are commonly used generic collections that can store different object types.
The document discusses several design patterns including strategy, template method, factory method, command, state, null object, and dependency injection. It provides examples of how each pattern can be implemented in code by defining interfaces and classes that implement the pattern. The examples demonstrate how different design patterns address common programming problems by organizing code in a reusable and flexible manner.
This document provides code examples for interacting with the Google Cloud Datastore API including making queries, getting indices and schemas, and running asynchronous queries. It shows how to set up queries, call operations like count, get indices, get schema, add actions, and run queries asynchronously. It also mentions some lower level datastore concepts like entity groups.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
5. == equals
char[] value
str1 str1 int length
boolean equals(Object obj)
char[] value
str2 str2 int length
boolean equals(Object obj)
str1 == str2 str1 str2
char[] value
str1.equals(str2)
6. java.lang.String
public final class String implements java.io.Serializable, Comparable<String>, CharSequence{
private final char value[];
private final int count;
public boolean equals(Object anObject) {
if (this == anObject) {
return true;
}
if (anObject instanceof String) {
String anotherString = (String)anObject;
int n = count;
if (n == anotherString.count) {
char v1[] = value;
char v2[] = anotherString.value;
int i = offset;
int j = anotherString.offset;
while (n-- != 0) {
if (v1[i++] != v2[j++])
return false;
}
return true;
}
}
return false;
}
34. Java.util.concurrent
import java.util.concurrent.atomic.*;
public class Account{
private AtomicInteger amount;
Account(int amount){
this.amount = new AtomicInteger(amount);
}
public int get(int amount){
if(this.amount.get() < amount){
return 0;
}
do{
if(this.amount.get() < amount){
break;
}
} while(!this.amount.compareAndSet(this.amount.get(), this.amount.get() - amount));
return amount;
}
public void put(int amount){
do{
if(amount < this.amount.get()){
break;
}
} while(!this.amount.compareAndSet(this.amount.get(), this.amount.get() + amount));
}
public int getAmount(){
return amount.get();
}
}
35. AtomicInteger
public class AtomicInteger extends Number implements java.io.Serializable {
private volatile int value;
public AtomicInteger(int initialValue) {
value = initialValue;
}
public final int get() {
return value;
}
public final void set(int newValue) {
value = newValue;
}
public final int getAndSet(int newValue) {
for (;;) {
int current = get();
if (compareAndSet(current, newValue))
return current;
}
}
public final boolean compareAndSet(int expect, int update) {
return unsafe.compareAndSwapInt(this, valueOffset, expect, update);
}
}
CAS
CAS
Int CAS
36. CAS Compare And Swap
1 2
100
0
0
100
CAS
2 0 CAS
100