C# is a simple, modern, object-oriented, powerful, and flexible language. It uses common namespaces like System, System.Collections, System.IO, and System.Net. Types in .NET can be value types or reference types. Common types include classes, structures, enumerations, interfaces, and delegates. Classes and structures define types while enumerations allow alternate names for values. Type definitions specify attributes, accessibility, name, base type, interfaces, and members.
C++ provides built-in and user-defined data types. Built-in data types are pre-defined in C++ and include character, integer, floating point, double, void, and boolean. User-defined data types are composed of built-in types and include arrays, structures, unions, classes, and pointers. Data types determine the type of data that can be stored and the operations that can be performed on that data.
1. Dalvik bytecode represents types as either primitive types represented by single letters (e.g. I for int) or reference types in the form of Lpackage/name/ObjectName;.
2. Methods are specified in a verbose form including the containing type, name, parameter types, and return type (e.g. Lpackage/name/ObjectName;->MethodName(III)Z).
3. Fields are also specified verbosely including the containing type, name, and field type (e.g. Lpackage/name/ObjectName;->FieldName:Ljava/lang/String;).
The DataOutputStream class allows applications to write primitive Java data types in a portable way to an output stream. It extends the OutputStream class and implements the DataOutput interface. A DataOutputStream is constructed by passing an OutputStream, and can then be used to write data types like strings, booleans, and integers to the underlying stream using methods like writeUTF(), writeBoolean(), and writeInt(). It also contains methods like flush() and close() to flush or close the stream.
In this session you will learn:
Recap of Arrays, ArrayLists
Basically, there can be 2 operations that you would want to perform on Arrays/ArrayLists.. (and maybe, other collections)
Search: Override equals() and hashCode().
Sort: provide comparison logic – Two ways
Comparable interface
Comparator interface
For more information: https://www.mindsmapped.com/courses/software-development/become-a-java-developer-hands-on-training/
Structures in C allow the user to define a custom data type that combines different data types to represent a record. A structure is similar to an array but can contain heterogeneous data types, while an array only holds the same type. Structures are defined using the struct keyword followed by structure tags and member lists. Structure variables are declared like other variables and members can be accessed using the dot operator. Arrays of structures and nested structures are also supported.
The document discusses various data types in C++ including built-in, user-defined, and derived types. Structures and unions allow grouping of dissimilar element types. Classes define custom data types that can then be used to create objects. Enumerated types attach numeric values to named constants. Arrays define a collection of elements of the same type in sequence. Functions contain blocks of code to perform tasks. Pointers store memory addresses.
The document discusses C structures. It defines a structure as a user-defined data type that allows combining different data types under a single name. Structures are used to represent records, with examples given of book and employee records. It then covers defining and creating structure variables, accessing structure members, arrays of structures, and passing structures to functions by value and by reference.
C# is a simple, modern, object-oriented, powerful, and flexible language. It uses common namespaces like System, System.Collections, System.IO, and System.Net. Types in .NET can be value types or reference types. Common types include classes, structures, enumerations, interfaces, and delegates. Classes and structures define types while enumerations allow alternate names for values. Type definitions specify attributes, accessibility, name, base type, interfaces, and members.
C++ provides built-in and user-defined data types. Built-in data types are pre-defined in C++ and include character, integer, floating point, double, void, and boolean. User-defined data types are composed of built-in types and include arrays, structures, unions, classes, and pointers. Data types determine the type of data that can be stored and the operations that can be performed on that data.
1. Dalvik bytecode represents types as either primitive types represented by single letters (e.g. I for int) or reference types in the form of Lpackage/name/ObjectName;.
2. Methods are specified in a verbose form including the containing type, name, parameter types, and return type (e.g. Lpackage/name/ObjectName;->MethodName(III)Z).
3. Fields are also specified verbosely including the containing type, name, and field type (e.g. Lpackage/name/ObjectName;->FieldName:Ljava/lang/String;).
The DataOutputStream class allows applications to write primitive Java data types in a portable way to an output stream. It extends the OutputStream class and implements the DataOutput interface. A DataOutputStream is constructed by passing an OutputStream, and can then be used to write data types like strings, booleans, and integers to the underlying stream using methods like writeUTF(), writeBoolean(), and writeInt(). It also contains methods like flush() and close() to flush or close the stream.
In this session you will learn:
Recap of Arrays, ArrayLists
Basically, there can be 2 operations that you would want to perform on Arrays/ArrayLists.. (and maybe, other collections)
Search: Override equals() and hashCode().
Sort: provide comparison logic – Two ways
Comparable interface
Comparator interface
For more information: https://www.mindsmapped.com/courses/software-development/become-a-java-developer-hands-on-training/
Structures in C allow the user to define a custom data type that combines different data types to represent a record. A structure is similar to an array but can contain heterogeneous data types, while an array only holds the same type. Structures are defined using the struct keyword followed by structure tags and member lists. Structure variables are declared like other variables and members can be accessed using the dot operator. Arrays of structures and nested structures are also supported.
The document discusses various data types in C++ including built-in, user-defined, and derived types. Structures and unions allow grouping of dissimilar element types. Classes define custom data types that can then be used to create objects. Enumerated types attach numeric values to named constants. Arrays define a collection of elements of the same type in sequence. Functions contain blocks of code to perform tasks. Pointers store memory addresses.
The document discusses C structures. It defines a structure as a user-defined data type that allows combining different data types under a single name. Structures are used to represent records, with examples given of book and employee records. It then covers defining and creating structure variables, accessing structure members, arrays of structures, and passing structures to functions by value and by reference.
The document discusses functional programming concepts including pure functions, immutable data, persistent data structures, algebraic data types, and function composition. It provides examples of implementing these concepts in Scala. It then discusses modeling domain state functionally by avoiding in-place mutation and combining state with time. Event sourcing, CQRS, and using a memory image with STM are proposed for managing state. Finally, some interesting links on functional programming topics are listed.
FivaTech is a system that deduces data schemas and templates from template-generated web pages. It contains two modules: tree merging and schema detection. The tree merging module aligns DOM trees from input pages to find patterns. The schema detection module then identifies the schema structure and defines templates based on the merged tree and detected patterns.
Data types are a classification that identifies the type of data in a computer program. There are primitive data types like integers, floats, booleans, and characters. Composite data types are constructed from primitive types, like arrays, records, tuples, unions, sets, and objects. Type enforcement ensures type safety by restricting operations to appropriate data types at compile or runtime. Well-typed programs avoid type errors that could lead to failures.
Data types are classifications that define the type of data a variable can hold in programming languages. The most common data types are Boolean, integer, floating-point number, character, and alphanumeric string. Boolean data consists of true or false values and is used in search engines and conditional statements. Integers are whole numbers, while floating-point numbers allow decimals. Characters represent single symbols, and alphanumeric strings contain letters and numbers. Understanding data types is essential for programmers to ensure correct application functions and avoid errors.
This document discusses different data types in C++. It begins by defining data as a set of values related to variables, and data types as determining the type and operations that can be performed on data. It then covers the main points that:
1) There are built-in/fundamental and derived/user-defined data types in C++. Built-in types include char, int, float, double, void and bool.
2) Derived types are composed of built-in types, such as arrays, structures, unions and classes.
3) User-defined types must be declared before use, such as struct, union, class and enumerations.
The document provides examples and
This document provides an overview of the C++ programming language, including its history, features, and key concepts. It discusses how C++ extends the C language and is an intermediate-level language that incorporates both high-level and low-level features. The document also outlines important C++ concepts like object-oriented programming, data types, operators, variables, classes, and control structures. It provides examples and definitions of objects, classes, encapsulation, inheritance, polymorphism and other fundamental OOP concepts.
This document provides an overview of the C programming language. It discusses the basics of C programming including data types, variables, constants, keywords, operators, input/output statements, decision-making statements, and looping statements. It also covers basic C program structure, storage classes, and introduces different programming paradigms like procedural, structured, object-oriented and monolithic programming.
This document discusses data types in C++. It describes the three main categories of data types: primitive/fundamental types like int and char, derived types which are based on primitive types, and user-defined types created with structures. It also covers data type modifiers, constants/literals of different data types, and rules for declaring variables in C++ like their scope and naming conventions.
This document provides an overview of various C++ data types including fundamental, derived, and user-defined data types. It discusses integer, character, float, double, and void fundamental data types. It also covers integer, character, and floating-point type modifiers. Additionally, it summarizes arrays, functions, pointers, references, constants, classes, structures, unions, and enumerations as derived or user-defined data types in C++.
The document discusses various data types in C++. It explains that data types define the type of data stored in variables and associated operations. There are fundamental data types like integer, character, float, double, and void provided by C++. User-defined data types include arrays, pointers, references, structures, unions, classes and enumerations. The document provides details on the size and range of standard data types like short int, int, long, float, double etc. It also explains various type modifiers and derived data types.
1) The document discusses structures in C programming. A structure is a collection of variables of different data types grouped together under a single name.
2) Structures are defined using the struct keyword followed by the structure name and members. Multiple variables of a structure type can be declared. Members are accessed using the dot operator.
3) Pointers to structures can be declared like pointers to other variables. Structure members can also be accessed using pointers. Arrays of structures allow storing multiple structures in an array. Structures can be nested by defining a structure inside another structure.
This document assigns a group project on data types in C++ to seven students. It discusses the three main data types in C++ - character, integer, and float. Character data can store single characters, integer data stores whole numbers, and float data stores numeric values with decimals. It also covers variable declaration and initialization in C++, noting that variables must be declared before use and can be initialized with a value upon declaration. The document assigns different aspects of the data types topic to the seven students listed at the top for further explanation in the project.
Structures allow grouping of heterogeneous data types into a single unit called a structure. Structures can contain integer, float, double, character data and arrays. Structures are accessed using the dot operator. Unions share the same memory location for different data types and can hold data of only one member at a time. Enumerated data types define user-defined data types using the enum keyword where symbolic constants take on integer values starting from zero.
This document provides an overview of Java I/O streams and how to open, use, and close them. It discusses how opening a stream creates a connection to external data, using a stream involves reading or writing data, and closing streams is important to release resources. It then gives examples of opening a FileReader stream, reading lines with a BufferedReader, and closing streams. The document also introduces LineReader and LineWriter classes that simplify reading and writing text files line-by-line in Java.
Structures in C allow grouping of different data types under a single name for convenient handling. A structure is declared using the typedef statement, specifying the structure name and members. Structures can be nested by including one structure as a member of another. Arrays of structures and pointers to structures can also be declared. Structures are commonly used with functions to organize related data.
The document discusses topics related to .NET Framework and C# programming. It contains questions and answers on .NET Framework architecture, Common Language Runtime (CLR), namespaces, data types in C#, type conversions, and boxing/unboxing. Key points include:
- .NET Framework consists of CLR, base class library and APIs. CLR manages execution of .NET programs and provides memory management, security and exception handling.
- Namespaces are used to organize code and avoid naming collisions. Base class library contains common classes for tasks like I/O, strings, collections etc.
- C# supports value types (stored on stack) and reference types (stored on heap). Implicit conversions occur for compatible
This document provides an overview of types in C#, including:
- C# is a strongly typed language where every variable, constant, and expression has a type.
- Types store information like memory usage, valid values, members, inheritance, and more. This ensures type safety.
- The document discusses built-in types, custom types defined by struct, class, interface and enum, and the common type system with value types and reference types.
The Collection API provides classes and interfaces that support operations on collections of objects, such as HashSet, HashMap, ArrayList, and LinkedList. It replaces vectors, arrays, and hashtables. Iterator is an interface used to iterate through elements of a Collection. The differences between an abstract class and interface are that interfaces provide multiple inheritance while abstract classes do not, and interfaces only define public methods without implementation.
The document discusses functional programming concepts including pure functions, immutable data, persistent data structures, algebraic data types, and function composition. It provides examples of implementing these concepts in Scala. It then discusses modeling domain state functionally by avoiding in-place mutation and combining state with time. Event sourcing, CQRS, and using a memory image with STM are proposed for managing state. Finally, some interesting links on functional programming topics are listed.
FivaTech is a system that deduces data schemas and templates from template-generated web pages. It contains two modules: tree merging and schema detection. The tree merging module aligns DOM trees from input pages to find patterns. The schema detection module then identifies the schema structure and defines templates based on the merged tree and detected patterns.
Data types are a classification that identifies the type of data in a computer program. There are primitive data types like integers, floats, booleans, and characters. Composite data types are constructed from primitive types, like arrays, records, tuples, unions, sets, and objects. Type enforcement ensures type safety by restricting operations to appropriate data types at compile or runtime. Well-typed programs avoid type errors that could lead to failures.
Data types are classifications that define the type of data a variable can hold in programming languages. The most common data types are Boolean, integer, floating-point number, character, and alphanumeric string. Boolean data consists of true or false values and is used in search engines and conditional statements. Integers are whole numbers, while floating-point numbers allow decimals. Characters represent single symbols, and alphanumeric strings contain letters and numbers. Understanding data types is essential for programmers to ensure correct application functions and avoid errors.
This document discusses different data types in C++. It begins by defining data as a set of values related to variables, and data types as determining the type and operations that can be performed on data. It then covers the main points that:
1) There are built-in/fundamental and derived/user-defined data types in C++. Built-in types include char, int, float, double, void and bool.
2) Derived types are composed of built-in types, such as arrays, structures, unions and classes.
3) User-defined types must be declared before use, such as struct, union, class and enumerations.
The document provides examples and
This document provides an overview of the C++ programming language, including its history, features, and key concepts. It discusses how C++ extends the C language and is an intermediate-level language that incorporates both high-level and low-level features. The document also outlines important C++ concepts like object-oriented programming, data types, operators, variables, classes, and control structures. It provides examples and definitions of objects, classes, encapsulation, inheritance, polymorphism and other fundamental OOP concepts.
This document provides an overview of the C programming language. It discusses the basics of C programming including data types, variables, constants, keywords, operators, input/output statements, decision-making statements, and looping statements. It also covers basic C program structure, storage classes, and introduces different programming paradigms like procedural, structured, object-oriented and monolithic programming.
This document discusses data types in C++. It describes the three main categories of data types: primitive/fundamental types like int and char, derived types which are based on primitive types, and user-defined types created with structures. It also covers data type modifiers, constants/literals of different data types, and rules for declaring variables in C++ like their scope and naming conventions.
This document provides an overview of various C++ data types including fundamental, derived, and user-defined data types. It discusses integer, character, float, double, and void fundamental data types. It also covers integer, character, and floating-point type modifiers. Additionally, it summarizes arrays, functions, pointers, references, constants, classes, structures, unions, and enumerations as derived or user-defined data types in C++.
The document discusses various data types in C++. It explains that data types define the type of data stored in variables and associated operations. There are fundamental data types like integer, character, float, double, and void provided by C++. User-defined data types include arrays, pointers, references, structures, unions, classes and enumerations. The document provides details on the size and range of standard data types like short int, int, long, float, double etc. It also explains various type modifiers and derived data types.
1) The document discusses structures in C programming. A structure is a collection of variables of different data types grouped together under a single name.
2) Structures are defined using the struct keyword followed by the structure name and members. Multiple variables of a structure type can be declared. Members are accessed using the dot operator.
3) Pointers to structures can be declared like pointers to other variables. Structure members can also be accessed using pointers. Arrays of structures allow storing multiple structures in an array. Structures can be nested by defining a structure inside another structure.
This document assigns a group project on data types in C++ to seven students. It discusses the three main data types in C++ - character, integer, and float. Character data can store single characters, integer data stores whole numbers, and float data stores numeric values with decimals. It also covers variable declaration and initialization in C++, noting that variables must be declared before use and can be initialized with a value upon declaration. The document assigns different aspects of the data types topic to the seven students listed at the top for further explanation in the project.
Structures allow grouping of heterogeneous data types into a single unit called a structure. Structures can contain integer, float, double, character data and arrays. Structures are accessed using the dot operator. Unions share the same memory location for different data types and can hold data of only one member at a time. Enumerated data types define user-defined data types using the enum keyword where symbolic constants take on integer values starting from zero.
This document provides an overview of Java I/O streams and how to open, use, and close them. It discusses how opening a stream creates a connection to external data, using a stream involves reading or writing data, and closing streams is important to release resources. It then gives examples of opening a FileReader stream, reading lines with a BufferedReader, and closing streams. The document also introduces LineReader and LineWriter classes that simplify reading and writing text files line-by-line in Java.
Structures in C allow grouping of different data types under a single name for convenient handling. A structure is declared using the typedef statement, specifying the structure name and members. Structures can be nested by including one structure as a member of another. Arrays of structures and pointers to structures can also be declared. Structures are commonly used with functions to organize related data.
The document discusses topics related to .NET Framework and C# programming. It contains questions and answers on .NET Framework architecture, Common Language Runtime (CLR), namespaces, data types in C#, type conversions, and boxing/unboxing. Key points include:
- .NET Framework consists of CLR, base class library and APIs. CLR manages execution of .NET programs and provides memory management, security and exception handling.
- Namespaces are used to organize code and avoid naming collisions. Base class library contains common classes for tasks like I/O, strings, collections etc.
- C# supports value types (stored on stack) and reference types (stored on heap). Implicit conversions occur for compatible
This document provides an overview of types in C#, including:
- C# is a strongly typed language where every variable, constant, and expression has a type.
- Types store information like memory usage, valid values, members, inheritance, and more. This ensures type safety.
- The document discusses built-in types, custom types defined by struct, class, interface and enum, and the common type system with value types and reference types.
The Collection API provides classes and interfaces that support operations on collections of objects, such as HashSet, HashMap, ArrayList, and LinkedList. It replaces vectors, arrays, and hashtables. Iterator is an interface used to iterate through elements of a Collection. The differences between an abstract class and interface are that interfaces provide multiple inheritance while abstract classes do not, and interfaces only define public methods without implementation.
This document provides an overview of C# program structure and key concepts like namespaces, classes, structs, interfaces, enumerations, delegates, and abstract classes. It defines each concept, provides examples, and explains when to use each one and how they relate to each other. Namespaces help organize code, classes and structs define custom types, interfaces define common functionality, enumerations define named constants, delegates define callbacks, and abstract classes define common traits.
This document discusses various features of the C# programming language across different versions. It provides an overview of key C# concepts like object oriented programming, managed code, and garbage collection. It also summarizes major features introduced in each version of C# such as generics in C# 2.0, implicit typing in C# 3.0, and asynchronous methods in C# 5.0. The document explains concepts like inheritance, polymorphism, and the differences between abstract classes and interfaces.
The document provides definitions for various computer science and programming terms related to C++ including data types, operators, statements, functions, classes, inheritance, and more. It defines terms such as #include, abstract class, aggregate, alias, allocation, argument, array, assignment, base class, bit, bool, break, byte, call by reference, call by value, case, char, cin, class, class layout, class member, class template, comments, compiler, const, constructor, continue, copy constructor, cout, data structure, debugger, declaration, default argument, definition, delete operator, derived class, destructor, do, double, dynamic memory allocation, else, endl, explicit, expression, expression statement
This document discusses interface design principles and provides examples of interface signatures in different programming languages.
The key principles discussed are that interfaces should be concise, consistent, and conventional. They should follow established conventions and idioms of the given language to be intuitive for developers.
Examples are given of interface signatures for a sorting function in C, C++ and Java. While the core functionality is the same, the signatures differ based on language idioms and features. Defining interfaces properly considers the language conventions rather than just technical correctness.
Advantages of .NET over the other languages, overview of .NET binaries, Intermediate Language, metadata, .NET Namespaces, Common Language runtime, common type system, common Language Specification.
C# fundamentals – C# class, object, string formatting, Types, scope, constants, C# iteration, control flow, operators, array, string, Enumerations, structures, custom Namespaces
This document discusses object-oriented programming concepts like classes, objects, encapsulation, inheritance, polymorphism, and more. It provides examples of defining classes with data members and member functions, creating objects, passing objects as arguments, and using constructors and destructors. Key points include how memory is allocated for classes and objects, characteristics of constructors, constructor overloading, and examples of programs using constructors and destructors to print student details.
The document discusses key aspects of the Java class library including documentation, interfaces, implementations, access modifiers, and common classes. It provides examples of using library classes like Random and maps. It emphasizes the importance of understanding library documentation and being able to use classes from documentation without seeing implementations.
C# is an object-oriented programming language that is simple, modern and type-safe, derived from C and C++. It aims to combine the high productivity of Visual Basic with the power of C++. C# programs are typically written in .cs files and compiled to .exe files using the Visual Studio IDE and command line compiler. The language uses the .NET framework class library and supports value types that contain data and reference types that store references to objects.
Contents :
Language Concepts
How Objective C works- Basics
Data Types
NSInteger
NSNumber
Operators
Loop
Inheritance
Method Overloading
Mutable and Immutable Strings
Mutable and Immutable Arrays
File Management
C# is an object-oriented programming language where programs consist of objects that interact through methods. The document discusses C# program structure, sample code, how code is executed, and data types in C#. It provides details on value types like integers and floats, reference types like strings, and pointer types. Key features of C# include being case sensitive and requiring semicolons. The document also covers operators, variables, and keywords in C#.
This document discusses the evolution and key concepts of object-oriented programming (OOP). It describes how OOP languages implemented concepts like encapsulation, inheritance, and polymorphism differently. Early OOP languages introduced classes and objects, while some newer languages support interfaces and mixed inheritance. Implementing dynamic method binding and other OOP features requires tradeoffs between simplicity, performance, and functionality.
This document discusses the evolution and key concepts of object-oriented programming (OOP). It describes how OOP languages implemented concepts like encapsulation, inheritance, and polymorphism differently. Early OOP languages introduced classes and objects, which group related data and behaviors. Issues like visibility, inheritance, and reference models added complexity around how data is accessed and methods are called.
Best C Sharp C# Training Online C# Online Course C# Online Training Best on...Evanta Technologies
C# is a multi-paradigm programming language including robust typing, imperative, declarative, functional, generic, object-oriented , and component-oriented programming castigations. It was developed by Microsoft . C# is one of the programming languages designed for the Common Language Infrastructure.C# is an Object Oriented Programming language, It is introduced specifically for .NET and thus has no backward compatibility issues. C# is a simple, modern.
This slide brushes up on the concepts of class and templates in C++. It introduces the different sections of the C++ Standard Library and talks about std::pair in further details.
The document provides an introduction to C# programming, including:
- C# was developed by Microsoft for the .NET framework and is based on C and C++.
- Visual Studio is used to create C# projects and console applications.
- A basic "Hello World" console app is demonstrated using Console.WriteLine().
- Common data types like int, string, char, and boolean are explained.
The document provides an overview of developing iOS applications including the required language (Objective-C), frameworks (Cocoa Touch), tools, and development process. It discusses setting up a Mac development environment, learning Objective-C syntax and concepts like classes, methods, properties, protocols, and the iOS application layers including Cocoa Touch.
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
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
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.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.