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.
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.
This document provides an overview of Java generics through examples. It begins with simple examples demonstrating how generics can be used to define container classes (BoxPrinter) and pair classes (Pair). It discusses benefits like type safety and avoiding duplication. Further examples show generics with methods and limitations like erasure. Wildcard types are presented as a way to address subtyping issues. In general, generics provide flexibility in coding but their syntax can sometimes be complex to read.
The document discusses various techniques for writing clean code, including formatting code consistently, using meaningful names, writing comments to explain intent, keeping functions focused on single tasks, limiting class and method complexity, and avoiding hardcoded values. It emphasizes habits like adhering to coding standards as a team and writing unit tests. Specific techniques mentioned include consistent formatting, searchable names, avoiding comments as a crutch, limiting function parameters and nesting depth, and preferring classes with cohesive responsibilities. The document recommends several coding standards and style guides.
This document discusses advanced Java debugging using bytecode. It explains that bytecode is the low-level representation of Java programs that is executed by the Java Virtual Machine (JVM). It shows examples of decompiling Java source code to bytecode instructions and evaluating bytecode on a stack. Various bytecode visualization and debugging tools are demonstrated. Key topics like object-oriented aspects of bytecode and the ".class" file format are also covered at a high-level.
This document discusses various topics related to Java class design including:
- The first object oriented programming language was Simula from 1965
- Examples are provided to demonstrate polymorphism and abstract classes in Java
- The java.time package provides improved date/time functionality over java.util.Date
- Design principles like single responsibility, open/closed, Liskov substitution, and others are covered
- Tools for exploring class design structures like dependencies are listed
- Local meetups focused on software design and development are shared.
Курс "Программирование на Java". Лекция 07 "Бонус - Головоломки".
Java Puzzlers. Синхронизация и многопоточность. Примитивы. Объекты и классы. Исключения и финализация.
МФТИ, 2016 год. Лектор - Лаврентьев Федор Сергеевич
The document discusses various Python interpreters:
- CPython is the default interpreter but has a Global Interpreter Lock (GIL) limiting performance on multi-core systems.
- Jython and IronPython run Python on the JVM and CLR respectively, allowing true concurrency but can be slower than CPython.
- PyPy uses a just-in-time (JIT) compiler which can provide huge performance gains compared to CPython as shown on speed.pypy.org.
- Unladen Swallow aimed to add JIT compilation to CPython but was merged into Python 3.
The document contains code snippets for various Java programs that perform tasks like calculating the area of a circle, finding the factorial of a number, displaying prime numbers, sorting an array, counting characters in a string, reversing a string, creating and running threads, handling exceptions, and creating a simple applet with buttons to change the background color. The code examples demonstrate basic Java programming concepts like classes, methods, loops, arrays, exceptions, threads, applets, and event handling.
In functional programming, words from Category Theory are thrown around, but how useful are they really?
This session looks at applications of monoids specifically and how using their algebraic properties offers a solid foundation of reasoning in many types of business domains and reduces developer error as computational context complexity increases.
This will provide a tiny peak at Category Theory's practical uses in software development and modeling. Code examples will be in Haskell and Scala, but monoids could be constructed in almost any language by software craftsmen and women utilizing higher orders of reasoning to their code.
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.
This document discusses upcoming features in C# based on presentations by Christian Nagel. It covers features already implemented in C# 7.x like tuples, deconstruction, and pattern matching as well as features still in progress or being prototyped for C# 8 like records, caller expression attributes, async streams, indexes and ranges, extended patterns, and nullable reference types. The goal of new features is to make C# code safer, more efficient, give more freedom, and require less code.
Design Patterns - Compiler Case Study - Hands-on ExamplesGanesh Samarthyam
This presentation takes a case-study based approach to design patterns. A purposefully simplified example of expression trees is used to explain how different design patterns can be used in practice. Examples are in C#, but is relevant for anyone who is from object oriented background.
Kotlin is something more than just tool that help you remove boilerplate from you code. It brings much more than just lamdas and handy syntax to your Java or Android project
This document provides an overview of Java collections basics, including arrays, lists, strings, sets, and maps. It defines each type of collection and provides examples of how to use them. Arrays allow storing fixed-length sequences of elements and can be accessed by index. Lists are like resizable arrays that allow adding, removing and inserting elements using the ArrayList class. Strings represent character sequences and provide various methods for manipulation and comparison. Sets store unique elements using HashSet or TreeSet. Maps store key-value pairs using HashMap or TreeMap.
The document discusses various Java concurrency concepts including threads, locks, semaphores, and concurrent collections. It provides examples to illustrate thread synchronization issues like race conditions and deadlocks. It also demonstrates how to use various concurrency utilities from java.util.concurrent package like CountDownLatch, Exchanger, PriorityBlockingQueue to synchronize thread execution and communication between threads. The examples show how to simulate real world scenarios involving multiple threads accessing shared resources in a synchronized manner.
Important java programs(collection+file)Alok Kumar
The document contains 6 Java programming questions and solutions:
1. A program to find unique and duplicate items in an array.
2. A Product class with properties and methods to sort objects.
3. A program to merge contents of two text files into a third file.
4. A program to count the occurrences of specific words in a file.
5. A program to read a file, add contents to an ArrayList, and write to a new file.
6. A program to print consecutive characters in a string and their frequency.
The document contains 4 code snippets demonstrating different ways to take input in Java programs:
1) Using command line arguments and the args array to print a greeting with a passed in name
2) Swapping two integers entered from the keyboard using only two variables
3) Reading input from the keyboard using InputStreamReader and BufferedReader classes
4) Taking input using the Scanner class to read an integer, string, and double from console input
This presentation provides an overview of key topics in Java class design; also covers best practices/tips and quiz questions. Based on our OCP 8 book.
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.
The document contains code examples demonstrating various Elixir concepts like defining modules and functions, pattern matching, pipes, macros, and more. It shows interactive sessions in IEx testing concepts like strings, binaries, lists, tuples, pattern matching, recursion, comprehensions, and more. Some examples include defining a module to calculate factorials recursively, working with binaries and binary patterns, building a poker hand evaluator, and using quote and unquote in macros.
The document provides an overview of the Swift Foundation framework. It discusses key types in Foundation like AffineTransform, CharacterSet, Data, Date, DateComponents, Decimal, FileManager, IndexPath, Measurement, Notification, NSError, URL, and URLComponents. The document also briefly mentions the purpose of each type.
This document discusses using the F# programming language for unit testing. It provides examples of writing unit tests in F# using different testing frameworks like NUnit, FsUnit, and Unquote. It also shows how to mock objects and set up expected behavior using mocking libraries in F# like Moq, FakeItEasy, and Foq. Foq is a mocking library for F# that allows mocking using code quotations or a fluent interface. The document compares the lines of code of different mocking libraries and versions of Foq. It promotes F# as an effective testing language.
From Java to Kotlin beyond alt+shift+cmd+k - Kotlin Community Conf MilanFabio Collini
Kotlin is a first-class language for Android development since Google I/O 2017. And it’s here to stay!
Thanks to Android Studio it’s really easy to introduce Kotlin in an existing project, the configuration is trivial and then we can convert Java classes to Kotlin using a Alt+Shift+Cmd+K. But the new syntax is the just beginning, using Kotlin we can improve our code making it more readable and simpler to write.
In this talk we’ll see how to use some Kotlin features (for example data classes, collections, coroutines and delegates) to simplify Android development comparing the code with the equivalent “modern” Java code. It’s not fair to compare Kotlin code with plain Java 6 code so the Java examples will use lambdas and some external libraries like RxJava and AutoValue.
The program implements encryption and decryption of strings using the Blowfish algorithm. It generates a Blowfish secret key, uses it to initialize ciphers for encryption and decryption, and encrypts/decrypts a sample string. The encrypted string, decrypted string, and original string are printed for verification.
TDC2016POA | Trilha .NET - C# como você nunca viu: conceitos avançados de pro...tdc-globalcode
The document discusses concepts of functional programming in C# and .NET, including:
- Using functions as first-class citizens and higher-order functions like Map and Where
- Directing code towards immutability using concepts like Option and Either to represent failure
- Handling concurrency issues through immutable and referentially transparent functions
- Combining functions through combinators like Print and Time to add logging and profiling
The document discusses why the author loves Python programming language. Some key reasons include:
1. Python allows the author to focus on concepts rather than fighting with compiler bugs or syntax issues found in other languages.
2. Python code is more readable and compact due to consistent formatting and use of idioms, allowing for rapid understanding.
3. The author finds Python more productive than other languages due to reduced typing and not having to wade through as much code.
Python is an interpreted, object-oriented programming language created by Guido van Rossum in 1990. It has a clear, readable syntax and is designed to be highly extensible. Python code is often much shorter than equivalent code in other languages like C++ or Java due to features like indentation-based blocks and dynamic typing. It is used for web development, scientific computing, and more.
The basics of Python are rather straightforward. In a few minutes you can learn most of the syntax. There are some gotchas along the way that might appear tricky. This talk is meant to bring programmers up to speed with Python. They should be able to read and write Python.
The document contains code snippets for various Java programs that perform tasks like calculating the area of a circle, finding the factorial of a number, displaying prime numbers, sorting an array, counting characters in a string, reversing a string, creating and running threads, handling exceptions, and creating a simple applet with buttons to change the background color. The code examples demonstrate basic Java programming concepts like classes, methods, loops, arrays, exceptions, threads, applets, and event handling.
In functional programming, words from Category Theory are thrown around, but how useful are they really?
This session looks at applications of monoids specifically and how using their algebraic properties offers a solid foundation of reasoning in many types of business domains and reduces developer error as computational context complexity increases.
This will provide a tiny peak at Category Theory's practical uses in software development and modeling. Code examples will be in Haskell and Scala, but monoids could be constructed in almost any language by software craftsmen and women utilizing higher orders of reasoning to their code.
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.
This document discusses upcoming features in C# based on presentations by Christian Nagel. It covers features already implemented in C# 7.x like tuples, deconstruction, and pattern matching as well as features still in progress or being prototyped for C# 8 like records, caller expression attributes, async streams, indexes and ranges, extended patterns, and nullable reference types. The goal of new features is to make C# code safer, more efficient, give more freedom, and require less code.
Design Patterns - Compiler Case Study - Hands-on ExamplesGanesh Samarthyam
This presentation takes a case-study based approach to design patterns. A purposefully simplified example of expression trees is used to explain how different design patterns can be used in practice. Examples are in C#, but is relevant for anyone who is from object oriented background.
Kotlin is something more than just tool that help you remove boilerplate from you code. It brings much more than just lamdas and handy syntax to your Java or Android project
This document provides an overview of Java collections basics, including arrays, lists, strings, sets, and maps. It defines each type of collection and provides examples of how to use them. Arrays allow storing fixed-length sequences of elements and can be accessed by index. Lists are like resizable arrays that allow adding, removing and inserting elements using the ArrayList class. Strings represent character sequences and provide various methods for manipulation and comparison. Sets store unique elements using HashSet or TreeSet. Maps store key-value pairs using HashMap or TreeMap.
The document discusses various Java concurrency concepts including threads, locks, semaphores, and concurrent collections. It provides examples to illustrate thread synchronization issues like race conditions and deadlocks. It also demonstrates how to use various concurrency utilities from java.util.concurrent package like CountDownLatch, Exchanger, PriorityBlockingQueue to synchronize thread execution and communication between threads. The examples show how to simulate real world scenarios involving multiple threads accessing shared resources in a synchronized manner.
Important java programs(collection+file)Alok Kumar
The document contains 6 Java programming questions and solutions:
1. A program to find unique and duplicate items in an array.
2. A Product class with properties and methods to sort objects.
3. A program to merge contents of two text files into a third file.
4. A program to count the occurrences of specific words in a file.
5. A program to read a file, add contents to an ArrayList, and write to a new file.
6. A program to print consecutive characters in a string and their frequency.
The document contains 4 code snippets demonstrating different ways to take input in Java programs:
1) Using command line arguments and the args array to print a greeting with a passed in name
2) Swapping two integers entered from the keyboard using only two variables
3) Reading input from the keyboard using InputStreamReader and BufferedReader classes
4) Taking input using the Scanner class to read an integer, string, and double from console input
This presentation provides an overview of key topics in Java class design; also covers best practices/tips and quiz questions. Based on our OCP 8 book.
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.
The document contains code examples demonstrating various Elixir concepts like defining modules and functions, pattern matching, pipes, macros, and more. It shows interactive sessions in IEx testing concepts like strings, binaries, lists, tuples, pattern matching, recursion, comprehensions, and more. Some examples include defining a module to calculate factorials recursively, working with binaries and binary patterns, building a poker hand evaluator, and using quote and unquote in macros.
The document provides an overview of the Swift Foundation framework. It discusses key types in Foundation like AffineTransform, CharacterSet, Data, Date, DateComponents, Decimal, FileManager, IndexPath, Measurement, Notification, NSError, URL, and URLComponents. The document also briefly mentions the purpose of each type.
This document discusses using the F# programming language for unit testing. It provides examples of writing unit tests in F# using different testing frameworks like NUnit, FsUnit, and Unquote. It also shows how to mock objects and set up expected behavior using mocking libraries in F# like Moq, FakeItEasy, and Foq. Foq is a mocking library for F# that allows mocking using code quotations or a fluent interface. The document compares the lines of code of different mocking libraries and versions of Foq. It promotes F# as an effective testing language.
From Java to Kotlin beyond alt+shift+cmd+k - Kotlin Community Conf MilanFabio Collini
Kotlin is a first-class language for Android development since Google I/O 2017. And it’s here to stay!
Thanks to Android Studio it’s really easy to introduce Kotlin in an existing project, the configuration is trivial and then we can convert Java classes to Kotlin using a Alt+Shift+Cmd+K. But the new syntax is the just beginning, using Kotlin we can improve our code making it more readable and simpler to write.
In this talk we’ll see how to use some Kotlin features (for example data classes, collections, coroutines and delegates) to simplify Android development comparing the code with the equivalent “modern” Java code. It’s not fair to compare Kotlin code with plain Java 6 code so the Java examples will use lambdas and some external libraries like RxJava and AutoValue.
The program implements encryption and decryption of strings using the Blowfish algorithm. It generates a Blowfish secret key, uses it to initialize ciphers for encryption and decryption, and encrypts/decrypts a sample string. The encrypted string, decrypted string, and original string are printed for verification.
TDC2016POA | Trilha .NET - C# como você nunca viu: conceitos avançados de pro...tdc-globalcode
The document discusses concepts of functional programming in C# and .NET, including:
- Using functions as first-class citizens and higher-order functions like Map and Where
- Directing code towards immutability using concepts like Option and Either to represent failure
- Handling concurrency issues through immutable and referentially transparent functions
- Combining functions through combinators like Print and Time to add logging and profiling
The document discusses why the author loves Python programming language. Some key reasons include:
1. Python allows the author to focus on concepts rather than fighting with compiler bugs or syntax issues found in other languages.
2. Python code is more readable and compact due to consistent formatting and use of idioms, allowing for rapid understanding.
3. The author finds Python more productive than other languages due to reduced typing and not having to wade through as much code.
Python is an interpreted, object-oriented programming language created by Guido van Rossum in 1990. It has a clear, readable syntax and is designed to be highly extensible. Python code is often much shorter than equivalent code in other languages like C++ or Java due to features like indentation-based blocks and dynamic typing. It is used for web development, scientific computing, and more.
The basics of Python are rather straightforward. In a few minutes you can learn most of the syntax. There are some gotchas along the way that might appear tricky. This talk is meant to bring programmers up to speed with Python. They should be able to read and write Python.
Learn to Find Your Dream Job with Your Dream Employer with DreamPath pdx MindShare
DreamPath founders presented at pdxMindShare for our June event and talked about the software they developed to help people identify their dream employers. They were both unhappy with their jobs at one point, and their answer was to help people learn how to find companies they would enjoy working for. The event was held at Trader Vic's in downtown Portland and the workshop was followed by networking where attendees got to interact with dozens of Portland professionals.
Java and Python are compared on various aspects such as verbosity, object orientation, and execution model.
Python is found to be more concise and readable than Java for many common tasks like file I/O and logical expressions. However, Java's static typing enables safer refactoring. Both support inheritance but Python allows multiple inheritance and "duck typing".
The execution model differs as well - in Python, code is executed as it is loaded while Java separates loading, initialization and execution. This makes features like monkey patching possible in Python.
In the end, the developer is more important than the language. While each has strengths, the presenter currently prefers Python for its pragmatism and conciseness.
How To Find Your Passion by Ben RosenfeldBen Rosenfeld
Do you have no idea what to do with your life? Have you never been able to answer the question of "what do you want to be when you grow up?" If so, this 25 page eBook is for you.
The document compares the programming languages Ruby and Python. Ruby was created in 1995 by Yukihiro Matsumoto who wanted a scripting language more powerful than Perl but more object-oriented than Python. Python was created in 1991 by Guido van Rossum for simple and elegant computation. Both languages have grown large communities and popular frameworks - Ruby has Rails, RSpec, and Rake while Python has Django and numerous packages. The document discusses the philosophies and trade-offs between the two languages.
The document is a summary of key points from a presentation by Anthony Robbins on awakening the giant within. It covers 7 steps to condition neuro-associative patterns, life values and rules that empower or disempower us, the importance of references and identity. It also outlines 7 days to shape your life focusing on emotional, physical, relationship, financial and time management destiny. The presentation emphasizes individuals' power to control their thinking, feelings and actions to make a difference.
The document discusses the concept of mindsight from the perspective of interpersonal neurobiology. It defines mind as both an embodied process within individuals and an emergent process from relationships between individuals. A healthy mind is one with integrated functioning, where differentiated parts are linked together. Mindsight focuses on how the middle prefrontal regions of the brain support functions like emotional balance, insight, empathy and flexibility that promote well-being through relationships and self-awareness.
By applying the fundamental principles of self mastery, any person can take control of their life and harness the forces that shape destiny. http://bit.ly/u3YJbm
This lecture overviews today leading technologies in web applications development and provides a detailed comparison between the three. This lecture is relevant both for software developers and software development managers who need to select which technology to use, for students who are doing their first steps in the practical world and for people without and background in software development.
More information about the Java course I deliver can be found at java.course.lifemichael.com
More information about the PHP course I deliver can be found at php.course.lifemichael.com
More information about the C# course I deliver can be found at csharp.course.lifemichael.com
The document compares several major programming platforms: C++, Java, C#, and PHP. It provides pros and cons for each platform, discussing performance, cross-platform capabilities, trends, and other factors. It focuses on differences between C++, Java, C# on .NET, C# on Mono, and web development platforms like PHP that are commonly used with LAMP stacks.
Python is a general purpose programming language created by Guido van Rossum in 1991. It is an interpreted, interactive, object-oriented language with a simple syntax. Python supports cross-platform development and is widely used for scripting, game development, and building desktop and mobile applications. To use Python, developers must download the Python interpreter and can write and run code using the interactive shell or integrated development environments like IDLE. The document then discusses Python's multi-paradigm programming style, advantages like rapid development, and how to install Python and write basic programs using variables, operators, and data types.
The Agenda for the Webinar:
1. Introduction to Python.
2. Python and Big Data.
3. Python and Data Science.
4. Key features of Python and their usage in Business Analytics.
5. Business Analytics with Python – Real world Use Cases.
Jython is a Python interpreter implemented in Java. It allows Python code to integrate with Java by compiling Python code to Java bytecodes, making all Java classes immediately available to Python code. This allows Python to call Java code and Java to call Python, enabling flexible scripting of Java applications and experimentation in an interactive Java environment.
The document discusses several techniques for integrating Python and Java applications:
1) Embedding Python in Java using Jython allows Java code to call Python code directly.
2) Calling Java from Python using JPype allows Python scripts to utilize existing Java libraries.
3) Calling Python from Java using JEPP enables Java applications to execute Python scripts.
4) Inter-process communication between Python and Java can also be achieved using technologies like CORBA or SPIRO.
Examples are provided for each approach.
The document provides an introduction to Python programming. It discusses installing and running Python, basic Python syntax like variables, data types, conditionals, and functions. It emphasizes that Python uses references rather than copying values, so assigning one variable to another causes both to refer to the same object.
Lect 1. introduction to programming languagesVarun Garg
A programming language is a set of rules that allows humans to communicate instructions to computers. There are many programming languages because they have evolved over time as better ways to design them have been developed. Programming languages can be categorized based on their generation or programming paradigm such as imperative, object-oriented, logic-based, and functional. Characteristics like writability, readability, reliability and maintainability are important qualities for programming languages.
Presented at Tokyo iOS Meetup https://www.meetup.com/TokyoiOSMeetup/events/234405194/
Video here: https://www.youtube.com/watch?v=lJlyR8chDwo
The document contains code snippets from 3 weekly coding assignments:
1) A Java program to check if a string is a palindrome. It compares characters at the beginning and end of the string.
2) A Java program to sort a list of names in ascending order using string comparison and swapping.
3) A Java program to count the frequency of words in a given text by tokenizing, sorting, and printing the words.
java slip for bachelors of business administration.pdfkokah57440
The document contains code snippets from multiple Java programs. The code covers topics like:
- Printing characters from A-Z and a-z using for loops
- Copying content from one file to another while filtering non-alphabetic characters
- Finding the number of vowels in a user-input string
- Creating a GUI program to track mouse click and movement coordinates
- Checking if a number is an Armstrong number
- Calculating the area and volume of geometric shapes like cone and cylinder based on user input
- Creating patterns using nested for loops
- Deleting text files and getting file details from command line arguments
- Handling exceptions for divide by zero
- Transposing a matrix by swapping row and column
The document provides an index and descriptions of various topics related to web development including:
1. The modulus operator and examples of using it to check for divisibility.
2. Relational and logical operators like greater than, less than, equal to and examples of using them in code.
3. Descriptions of do-while and for loops with examples.
4. An example using a parameterized constructor to initialize cube dimensions.
5. Examples of string methods like startsWith, length, and trim.
6. Descriptions and examples of overloading methods and constructors.
7. An example of inheritance with overriding methods.
8. An interface example with animal classes
The document describes various image filtering and processing techniques in Matlab code, including maximum, minimum, average, smoothing, median, difference, Prewitt, Sobel, unsharp mask, Robert, and Gaussian filters. It also provides examples of quicksort, perfect number, greatest common divisor (GCD), and palindrome algorithms in Java code, as well as descriptions of the Tower of Hanoi problem and finding the shortest path on a grid.
The document contains 21 code snippets showing examples of various Java programming concepts. The code snippets cover topics such as classes and objects, inheritance, interfaces, exceptions, threads, applets, packages, input/output, and networking.
The document provides a 3-hour computer science exam containing multiple questions related to C++ programming. It includes questions about automatic type conversion vs type casting, header files, syntax errors, output of code snippets, polymorphism, class definitions, function definitions, arrays, memory allocation, stacks, and postfix notation evaluation.
Module 06 covers Java file input/output (IO) including byte streams, character streams, listing and creating directories and files, deleting directories and files, and using the Java console. Key topics include IO streams for input and output, using byte streams like FileInputStream and FileOutputStream to copy file bytes, character streams like BufferedReader and BufferedWriter to copy file lines, listing and interacting with directory objects, creating/deleting files and directories, and using the Java console for password input. The module provides examples of reading/writing files using byte and character streams, listing directory contents, creating/deleting files and directories, and taking password input from the console.
The document discusses Java streams and I/O. It defines streams as abstract representations of input/output devices that are sources or destinations of data. It describes byte and character streams, the core stream classes in java.io, predefined System streams, common stream subclasses, reading/writing files and binary data with byte streams, and reading/writing characters with character streams. It also covers object serialization/deserialization and compressing files with GZIP.
The document discusses C#.NET programs and various simple console applications that demonstrate basic programming concepts like input/output, conditional statements, loops, arrays, and pattern printing. It includes 10 programs that perform tasks like calculating sums, swapping values, checking odd/even, and more. It also covers 4 programs using different looping structures and 5 programs that print numeric patterns using nested loops.
The document contains code for several Java programs that implement common data structures and client-server applications. Specifically, it includes programs to:
1. Implement a stack using an array and perform push and pop operations.
2. Implement a queue using an array and perform insertion, deletion, and display operations.
3. Implement a singly linked list and perform operations like creation, addition, deletion, and display of nodes.
4. Implement a producer-consumer problem using threads and synchronization to add and remove elements from a shared queue.
The document contains code for implementing various data structures and algorithms in Java, including a stack, queue, linked list, producer-consumer problem, scrolling text applet, and client-server file transfer program. The stack, queue, and linked list code demonstrates how to create the data structures and perform common operations like push, pop, insert, delete, and display. The producer-consumer code uses threads and synchronization to model the scenario. The scrolling text applet animates text moving across the screen. The client-server code allows a client to request a file from a server, which then sends the file contents to display on the client.
The document provides code snippets for creating programs in C to:
1. Restrict mouse pointer movement and display pointer position by accessing the interrupt table and using functions like int86().
2. Create simple viruses by writing programs that shutdown the system, open internet explorer infinitely, or delete IE files.
3. Create DOS commands by writing C programs that can be executed from the command line to list files or directories.
4. Switch to 256 color graphics mode and create directories by calling int86() and writing to registers.
5. Develop a basic paint brush program using graphics functions to draw shapes determined by brush properties when the mouse is clicked.
The document describes a Java program to calculate parcel shipping charges based on weight. It begins with an initial charge of Rs. 15 for the first 1KG. Any additional weight is charged Rs. 8 for every 500g or fraction thereof. The program takes a weight in KGs as input, calculates the remaining weight after deducting 1KG, determines the charge for full 500g increments and any fractional part, and outputs the total charge.
This document contains source code for 10 programming exercises in C# .NET: 1) multiplication table; 2) perfect number checker; 3) Armstrong number checker; 4) palindrome number checker; 5) digit sum calculator; 6) prime number generator within a range; 7) Floyd's triangle generator; 8) ASCII value finder; 9) factor finder; 10a) decimal to binary converter and 10b) binary to decimal converter. For each exercise, the source code is provided along with sample input/output. The code includes classes, methods to get input, perform calculations and display output, and loops to allow running the programs multiple times.
This document compares and contrasts various features of C++ and Go, including:
- Error handling approaches like exceptions in C++ vs explicit error checking in Go.
- Class/struct definitions and how they compare between the languages.
- Common data structures like vectors, maps, and how they are implemented in each language.
- Benchmark results that show Go outperforming C++ in some cases but C++ performing better in others, depending on optimizations and data structure choices.
- Interfacing Go with C via Cgo and the performance overhead of marshalling between the languages.
- Concurrency primitives available in each language like mutexes, channels, atomics.
This document discusses Python-GTK and provides information about:
- Installing necessary packages like python-pywapi and glade
- Links to the author Yuren Ju's online profiles
- An assumption that the audience has experience with at least one programming language
- A graph showing Python's popularity based on the TIOBE index
- Comments from others that Python is suitable for beginners and experts alike and is flexible
- Examples of successful projects using Python including the author's first experience four years ago
The document discusses the history and architecture of Microsoft's .NET framework and C# programming language. It provides an overview of key .NET concepts like assemblies, application domains, and interoperability. It also summarizes major features of C# like namespaces, control flow, iterators, properties, attributes, delegates and events, LINQ, structs and constructors.
The program takes input of the order of a square matrix and its elements. It prints the elements of the matrix. It then calculates the trace of the matrix by adding the elements along the principal diagonal and prints the trace. The matrix elements are freed at the end.
Factors.javaimport java.io.; import java.util.Scanner; class .pdfdeepakangel
Factors.java
import java.io.*;
import java.util.Scanner;
class Factors
{
public static void main(String args[])
{
int a,i;
Scanner in = new Scanner(System.in);
System.out.println(\"Enter an integer\");
a = in.nextInt();
System.out.println(\"You entered integer \"+a);
System.out.print(\"\ \");
System.out.print(\"The factors are : \");
for(i=1;i<=a/2;i++)
{
if(a%i==0)
System.out.print(i+\",\");
}
System.out.print(a);
}
}
Output:
Enter an integer
44
You entered integer 44
The factors are : 1,2,4,11,22,44
Solution
Factors.java
import java.io.*;
import java.util.Scanner;
class Factors
{
public static void main(String args[])
{
int a,i;
Scanner in = new Scanner(System.in);
System.out.println(\"Enter an integer\");
a = in.nextInt();
System.out.println(\"You entered integer \"+a);
System.out.print(\"\ \");
System.out.print(\"The factors are : \");
for(i=1;i<=a/2;i++)
{
if(a%i==0)
System.out.print(i+\",\");
}
System.out.print(a);
}
}
Output:
Enter an integer
44
You entered integer 44
The factors are : 1,2,4,11,22,44.
Domino IQ – What to Expect, First Steps and Use Casespanagenda
Webinar Recording: https://www.panagenda.com/webinars/domino-iq-what-to-expect-first-steps-and-use-cases/
HCL Domino iQ Server – From Ideas Portal to implemented Feature. Discover what it is, what it isn’t, and explore the opportunities and challenges it presents.
Key Takeaways
- What are Large Language Models (LLMs) and how do they relate to Domino iQ
- Essential prerequisites for deploying Domino iQ Server
- Step-by-step instructions on setting up your Domino iQ Server
- Share and discuss thoughts and ideas to maximize the potential of Domino iQ
National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...Safe Software
The National Fuels Treatments Initiative (NFT) is transforming wildfire mitigation by creating a standardized map of nationwide fuels treatment locations across all land ownerships in the United States. While existing state and federal systems capture this data in diverse formats, NFT bridges these gaps, delivering the first truly integrated national view. This dataset will be used to measure the implementation of the National Cohesive Wildland Strategy and demonstrate the positive impact of collective investments in hazardous fuels reduction nationwide. In Phase 1, we developed an ETL pipeline template in FME Form, leveraging a schema-agnostic workflow with dynamic feature handling intended for fast roll-out and light maintenance. This was key as the initiative scaled from a few to over fifty contributors nationwide. By directly pulling from agency data stores, oftentimes ArcGIS Feature Services, NFT preserves existing structures, minimizing preparation needs. External mapping tables ensure consistent attribute and domain alignment, while robust change detection processes keep data current and actionable. Now in Phase 2, we’re migrating pipelines to FME Flow to take advantage of advanced scheduling, monitoring dashboards, and automated notifications to streamline operations. Join us to explore how this initiative exemplifies the power of technology, blending FME, ArcGIS Online, and AWS to solve a national business problem with a scalable, automated solution.
PyData - Graph Theory for Multi-Agent Integrationbarqawicloud
Graph theory is a well-known concept for algorithms and can be used to orchestrate the building of multi-model pipelines. By translating tasks and dependencies into a Directed Acyclic Graph, we can orchestrate diverse AI models, including NLP, vision, and recommendation capabilities. This tutorial provides a step-by-step approach to designing graph-based AI model pipelines, focusing on clinical use cases from the field.
Scaling GenAI Inference From Prototype to Production: Real-World Lessons in S...Anish Kumar
Presented by: Anish Kumar
LinkedIn: https://www.linkedin.com/in/anishkumar/
This lightning talk dives into real-world GenAI projects that scaled from prototype to production using Databricks’ fully managed tools. Facing cost and time constraints, we leveraged four key Databricks features—Workflows, Model Serving, Serverless Compute, and Notebooks—to build an AI inference pipeline processing millions of documents (text and audiobooks).
This approach enables rapid experimentation, easy tuning of GenAI prompts and compute settings, seamless data iteration and efficient quality testing—allowing Data Scientists and Engineers to collaborate effectively. Learn how to design modular, parameterized notebooks that run concurrently, manage dependencies and accelerate AI-driven insights.
Whether you're optimizing AI inference, automating complex data workflows or architecting next-gen serverless AI systems, this session delivers actionable strategies to maximize performance while keeping costs low.
Kubernetes Security Act Now Before It’s Too LateMichael Furman
In today's cloud-native landscape, Kubernetes has become the de facto standard for orchestrating containerized applications, but its inherent complexity introduces unique security challenges. Are you one YAML away from disaster?
This presentation, "Kubernetes Security: Act Now Before It’s Too Late," is your essential guide to understanding and mitigating the critical security risks within your Kubernetes environments. This presentation dives deep into the OWASP Kubernetes Top Ten, providing actionable insights to harden your clusters.
We will cover:
The fundamental architecture of Kubernetes and why its security is paramount.
In-depth strategies for protecting your Kubernetes Control Plane, including kube-apiserver and etcd.
Crucial best practices for securing your workloads and nodes, covering topics like privileged containers, root filesystem security, and the essential role of Pod Security Admission.
Don't wait for a breach. Learn how to identify, prevent, and respond to Kubernetes security threats effectively.
It's time to act now before it's too late!
Trends Artificial Intelligence - Mary MeekerClive Dickens
Mary Meeker’s 2024 AI report highlights a seismic shift in productivity, creativity, and business value driven by generative AI. She charts the rapid adoption of tools like ChatGPT and Midjourney, likening today’s moment to the dawn of the internet. The report emphasizes AI’s impact on knowledge work, software development, and personalized services—while also cautioning about data quality, ethical use, and the human-AI partnership. In short, Meeker sees AI as a transformative force accelerating innovation and redefining how we live and work.
Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...Safe Software
Jacobs has developed a 3D utility solids modelling workflow to improve the integration of utility data into 3D Building Information Modeling (BIM) environments. This workflow, a collaborative effort between the New Zealand Geospatial Team and the Australian Data Capture Team, employs FME to convert 2D utility data into detailed 3D representations, supporting enhanced spatial analysis and clash detection.
To enable the automation of this process, Jacobs has also developed a survey data standard that standardizes the capture of existing utilities. This standard ensures consistency in data collection, forming the foundation for the subsequent automated validation and modelling steps. The workflow begins with the acquisition of utility survey data, including attributes such as location, depth, diameter, and material of utility assets like pipes and manholes. This data is validated through a custom-built tool that ensures completeness and logical consistency, including checks for proper connectivity between network components. Following validation, the data is processed using an automated modelling tool to generate 3D solids from 2D geometric representations. These solids are then integrated into BIM models to facilitate compatibility with 3D workflows and enable detailed spatial analyses.
The workflow contributes to improved spatial understanding by visualizing the relationships between utilities and other infrastructure elements. The automation of validation and modeling processes ensures consistent and accurate outputs, minimizing errors and increasing workflow efficiency.
This methodology highlights the application of FME in addressing challenges associated with geospatial data transformation and demonstrates its utility in enhancing data integration within BIM frameworks. By enabling accurate 3D representation of utility networks, the workflow supports improved design collaboration and decision-making in complex infrastructure projects
Presentation given at the LangChain community meetup London
https://lu.ma/9d5fntgj
Coveres
Agentic AI: Beyond the Buzz
Introduction to AI Agent and Agentic AI
Agent Use case and stats
Introduction to LangGraph
Build agent with LangGraph Studio V2
Artificial Intelligence in the Nonprofit Boardroom.pdfOnBoard
OnBoard recently partnered with Microsoft Tech for Social Impact on the AI in the Nonprofit Boardroom Survey, an initiative designed to uncover the current and future role of artificial intelligence in nonprofit governance.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/solving-tomorrows-ai-problems-today-with-cadences-newest-processor-a-presentation-from-cadence/
Amol Borkar, Product Marketing Director at Cadence, presents the “Solving Tomorrow’s AI Problems Today with Cadence’s Newest Processor” tutorial at the May 2025 Embedded Vision Summit.
Artificial Intelligence is rapidly integrating into every aspect of technology. While the neural processing unit (NPU) often receives the majority of the spotlight as the ultimate AI problem solver, it is essential to recognize that not all AI workloads can be efficiently executed on an NPU and that neural network architectures are evolving rapidly. To create efficient chips and systems with market longevity, designers must plan for diverse AI workloads that include networks yet to be invented.
In this presentation, Borkar introduces a new processor from Cadence Tensilica. This new solution is designed to complement any NPU, creating the perfect synergy between the two processing engines and establishing a robust AI subsystem able to efficiently support workloads yet to be encountered. This combination allows developers to achieve efficiency and performance on the AI workloads of today and tomorrow, paving the way for future innovations in AI-powered devices.
Your startup on AWS - How to architect and maintain a Lean and Mean accountangelo60207
Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.
Domino IQ – Was Sie erwartet, erste Schritte und Anwendungsfällepanagenda
Webinar Recording: https://www.panagenda.com/webinars/domino-iq-was-sie-erwartet-erste-schritte-und-anwendungsfalle/
HCL Domino iQ Server – Vom Ideenportal zur implementierten Funktion. Entdecken Sie, was es ist, was es nicht ist, und erkunden Sie die Chancen und Herausforderungen, die es bietet.
Wichtige Erkenntnisse
- Was sind Large Language Models (LLMs) und wie stehen sie im Zusammenhang mit Domino iQ
- Wesentliche Voraussetzungen für die Bereitstellung des Domino iQ Servers
- Schritt-für-Schritt-Anleitung zur Einrichtung Ihres Domino iQ Servers
- Teilen und diskutieren Sie Gedanken und Ideen, um das Potenzial von Domino iQ zu maximieren
5. Programming
How many of you have programmed before?
What is the purpose?
Make - create an app
6. Programming
How many of you have programmed before?
What is the purpose?
Make - create an app
Break - edit an app
7. Programming
How many of you have programmed before?
What is the purpose?
Make - create an app
Break - edit an app
Understand - how or why does it work?
14. Show me the Money
IT Salaries are up
Python is 4th top growing skill in past 3
months
15. Show me the Money
IT Salaries are up
Python is 4th top growing skill in past 3
months
Average starting Python programmer salary
16. Show me the Money
IT Salaries are up
Python is 4th top growing skill in past 3
months
Average starting Python programmer salary
70k+
17. Show me the Money
IT Salaries are up
Python is 4th top growing skill in past 3
months
Average starting Python programmer salary
70k+
Sources:
- http://www.readwriteweb.com/enterprise/2011/05/it-hiring-and-salaries-up---wh.php
- http://www.payscale.com/research/US/Skill=Python/Salary
20. History + Facts
Created by Guido van Rossum in late 80s
“Benevolent Dictator for Life” now at Google
21. History + Facts
Created by Guido van Rossum in late 80s
“Benevolent Dictator for Life” now at Google
Fun and Playful
22. History + Facts
Created by Guido van Rossum in late 80s
“Benevolent Dictator for Life” now at Google
Fun and Playful
Name is based off Monty Python
23. History + Facts
Created by Guido van Rossum in late 80s
“Benevolent Dictator for Life” now at Google
Fun and Playful
Name is based off Monty Python
Spam and Eggs!
27. Strengths
Easy for beginners
...but powerful enough for professionals
Clean and elegant code
28. Strengths
Easy for beginners
...but powerful enough for professionals
Clean and elegant code
whitespace enforcement
29. Strengths
Easy for beginners
...but powerful enough for professionals
Clean and elegant code
whitespace enforcement
Many modules and libraries to import from
30. Strengths
Easy for beginners
...but powerful enough for professionals
Clean and elegant code
whitespace enforcement
Many modules and libraries to import from
Cross platform - Windows, Mac, Linux
31. Strengths
Easy for beginners
...but powerful enough for professionals
Clean and elegant code
whitespace enforcement
Many modules and libraries to import from
Cross platform - Windows, Mac, Linux
Supportive, large, and helpful community
55. More Tech Talking
Points
Indentation enforces good programming style
can read other’s code, and not obfuscated
sub b{$n=99-@_-$_||No;"$n bottle"."s"x!!--$n." of beer"};$w=" on the
wall"; die map{b."$w,n".b.",nTake one down, pass it around,
n".b(0)."$w.nn"}0..98
56. More Tech Talking
Points
Indentation enforces good programming style
can read other’s code, and not obfuscated
sub b{$n=99-@_-$_||No;"$n bottle"."s"x!!--$n." of beer"};$w=" on the
wall"; die map{b."$w,n".b.",nTake one down, pass it around,
n".b(0)."$w.nn"}0..98
No more forgotten braces and semi-colons! (less debug time)
57. More Tech Talking
Points
Indentation enforces good programming style
can read other’s code, and not obfuscated
sub b{$n=99-@_-$_||No;"$n bottle"."s"x!!--$n." of beer"};$w=" on the
wall"; die map{b."$w,n".b.",nTake one down, pass it around,
n".b(0)."$w.nn"}0..98
No more forgotten braces and semi-colons! (less debug time)
Safe - dynamic run time type checking and bounds checking on arrays
58. More Tech Talking
Points
Indentation enforces good programming style
can read other’s code, and not obfuscated
sub b{$n=99-@_-$_||No;"$n bottle"."s"x!!--$n." of beer"};$w=" on the
wall"; die map{b."$w,n".b.",nTake one down, pass it around,
n".b(0)."$w.nn"}0..98
No more forgotten braces and semi-colons! (less debug time)
Safe - dynamic run time type checking and bounds checking on arrays
Source
http://www.ariel.com.au/a/teaching-programming.html
70. Is it really that perfect?
Interpreted language
slight overhead
71. Is it really that perfect?
Interpreted language
slight overhead
dynamic typing
72. Is it really that perfect?
Interpreted language
slight overhead
dynamic typing
Complex systems (compute bound)
73. Is it really that perfect?
Interpreted language
slight overhead
dynamic typing
Complex systems (compute bound)
Limited systems
74. Is it really that perfect?
Interpreted language
slight overhead
dynamic typing
Complex systems (compute bound)
Limited systems
low level, limited memory on system