If any class have multiple functions with same names but different parameters then they are said to be overloaded. Function overloading allows you to use the same name for different functions, to perform, either same or different functions in the same class.
If you have to perform one single operation but with different number or types of arguments, then you can simply overload the function.
- Functions in MATLAB start with the keyword 'function' followed by output arguments, a valid function name, and optional input arguments. For example, function p=prime_num(a,b).
- A function can return multiple values using square brackets around the output arguments. For example, function [o1,o2]=myfunction(a,b,c) returns two outputs.
- To call a function, type its name and pass any required arguments in the command window. Returned values can be stored in variables or displayed directly without semicolons.
The document contains information about Tarandeep Kaur, including her name, section, and roll number. It then lists and describes various topics related to functions in C++, including definition of functions, function calling, function prototypes, void functions, local vs global variables, function overloading, and recursion. Examples are provided to illustrate function calling, passing arguments, return values, and differences between call by value and call by reference.
The document discusses functions in C++. It defines functions as modular pieces that divide programs into more manageable components. It describes function components like modules, functions, classes, and function calls. It provides examples of math library functions and how to define, call, and prototype functions. It also covers function parameters, return types, and scope rules for local variables and storage classes.
This document discusses function overloading in C++. It explains that function overloading allows multiple functions to have the same name but different parameters. This improves readability and allows functions to be distinguished at compile time based on their signatures. It provides an example of overloading the sum() function to take integer or double parameters. The key requirements for overloading are that functions must differ in number or type of parameters, and their return types may be different. Overloaded functions are distinguished by their signatures, which include the function name and parameter types.
Functions allow code to be reused by defining formulas that can be called from different parts of a program. Functions take in inputs, perform operations, and return outputs. They are defined outside of the main body with a function prototype, and can be called multiple times from within main or other functions. This document demonstrates how to define a FindMax function that takes in two numbers, compares them, and returns the maximum number. It shows function prototypes, defining the function outside of main, and calling the function from within main to find the maximum of two user-input numbers.
User-defined functions allow programmers to break programs into smaller, reusable parts. There are two types of functions: built-in functions that are predefined in C like printf() and user-defined functions created by the programmer. A function is defined with a return type, name, and parameters. Functions can call other functions and be called from main or other functions. Parameters can be passed by value, where the value is copied, or by reference, where the address is passed so changes to the parameter are reflected in the caller. Functions allow for modularity and code reuse.
This document discusses functions in C++. It defines a function as having an output type, name, and arguments within parentheses. Functions can be called by passing arguments to the function name. Functions can also be called by reference by passing the address of a variable. Some important mathematical functions are provided in the C++ math library and their Fortran equivalents are shown.
MATLAB's anonymous functions provide an easy way to specify a function. An anonymous function is a function defined without using a separate function file. It is a MATLAB feature that lets you define a mathematical expression of one or more inputs and either assign that expression to a function. This method is good for relatively simple functions that will not be used that often and that can be written in a single expression.
The inline command lets you create a function of any number of variables by giving a string containing the function followed by a series of strings denoting the order of the input variables. It is similar to an Anonymous Function
This document provides an outline and overview of functions in C++. It discusses:
- The definition of a function as a block of code that performs a specific task and can be called from other parts of the program.
- The standard library that is included in C++ and provides useful tools like containers, iterators, algorithms and more.
- The parts of a function definition including the return type, name, parameters, and body.
- How to declare functions, call functions by passing arguments, and how arguments are handled.
- Scope rules for local and global variables as they relate to functions.
This document discusses functions in C++, including function definition, function prototypes, parameters, return types, calling functions, passing arguments by value vs reference, and function overloading. It provides examples of defining functions with different return types and parameters, using function prototypes, calling functions and passing arguments, and overloading functions.
Functions allow programmers to organize C++ code into reusable blocks to perform tasks, where a function is defined with a name and parameters and can be called from other parts of the program. Functions may take parameters, return values, and be called recursively or by reference to modify external variables. The C++ standard library provides header files and built-in functions to help programmers write functions and programs.
Function overloading in C++ allows defining multiple functions with the same name as long as they have different parameters. This enables functions to perform different tasks based on the types of arguments passed. An example demonstrates defining multiple area() functions, one taking a radius and the other taking length and breadth. Inline functions in C++ avoid function call overhead by expanding the function code at the call site instead of jumping to another location. Demonstrated with an inline mul() and div() example.
Lecture#7 Call by value and reference in c++NUST Stuff
This document discusses references and reference parameters in C++. It explains that call by reference allows a function to directly access and modify the original argument, unlike call by value where only a copy is passed. A reference parameter creates an alias for the argument, allowing changes to affect the original. The document provides examples demonstrating pass by value versus pass by reference using reference parameters, and also covers default arguments, reference initialization requirements, and function overloading.
User-defined functions are similar to the MATLAB pre-defined functions. A function is a MATLAB program that can accept inputs and produce outputs. A function can be called or executed by another program or function.
Code for a function is done in an Editor window or any text editor same way as script and saved as m-file. The m-file must have the same name as the function.
The document discusses C++ functions. It explains that functions allow code to be reused by grouping common operations into reusable blocks of code called functions. Functions have three parts: a prototype that declares the function, a definition that implements it, and calls that execute the function. Functions can take parameters as input and return a value. Grouping common code into well-named functions makes a program more organized and maintainable.
Call by value or call by reference in C++Sachin Yadav
Call by value means passing the value directly to a function. The called function uses the value in a local variable; any changes to it DO NOT affect the source variable. In call by value method, the called function creates its own copies of original values sent to it. Any changes, that are made, occur on the function’s copy of values and are not reflected back to the calling function.
C++ functions require prototypes that specify the return type and parameters. Function overloading allows multiple functions to have the same name but different signatures. Default arguments allow functions to be called without providing trailing arguments. Inline functions expand the function body at the call site for small functions to reduce overhead compared to regular function calls.
The document discusses call by value and call by reference in functions. Call by value passes the actual value of an argument to the formal parameter, so any changes made to the formal parameter do not affect the actual argument. Call by reference passes the address of the actual argument, so changes to the formal parameter do directly modify the actual argument. An example program demonstrates call by value, where changing the formal parameter does not change the original variable.
This document discusses functions in C programming. It defines a function as a block of code that performs a specific task when called. It provides examples of functions used in hotel management like front office, reservation, and housekeeping. It explains function definition, declaration, calling, parameters, arguments, return statements. It differentiates between actual and formal arguments and discusses call by value and call by reference methods of passing arguments to functions.
This document discusses C++ function and operator overloading. Overloading occurs when the same name is used for functions or operators that have different signatures. Signatures are distinguished by parameter types and types are used to determine the best match. Overloading is resolved at compile-time based on arguments passed, while overriding is resolved at run-time based on object type. The document provides examples of overloading functions and operators and discusses issues like symmetry, precedence, and whether functions should be members or non-members.
PowerPoint presentation of functions in C language. It will give you brief idea how function works in C along with its unique features like return statement.
The document discusses C++ scope resolution operator (::) and pointers. It explains that :: is used to qualify hidden names and access variables or functions in the global namespace when a local variable hides it. It also discusses pointers, which are variables that store memory addresses. Pointers allow dynamic memory allocation and are useful for passing arguments by reference. Key pointer concepts covered include null pointers, pointer arithmetic, relationships between pointers and arrays, arrays of pointers, pointer to pointers, and passing/returning pointers in functions.
This document discusses functions in C++. It defines a function as a block of code that performs a specific task and can be reused. The key points made are:
- Functions allow for modular and reusable code. They group statements and give them a name to be called from other parts of a program.
- The document demonstrates simple functions in C++ through examples, including defining, declaring, calling, passing arguments to, and returning values from functions.
- Other function concepts covered include function overloading, recursion, inline functions, default arguments, scope and storage class, and global vs local variables.
This document provides information on functions in C and C++. It discusses the main components of functions including definition, declaration, prototypes, arguments, return values, scope, and recursion. It also covers function categories, nested functions, default arguments, inline functions, function overloading, and differences between calling functions by value versus reference in C++. Overall, the document serves as a tutorial on functions and their usage in C and C++ programming.
1. The document discusses various concepts related to functions in C++ such as function prototypes, passing arguments by reference, default arguments, inline functions, function overloading, and friend functions.
2. It provides examples to explain concepts like passing arguments by reference allows altering the original variable values, a friend function can access private members of a class, and function overloading allows using the same function name for different tasks based on the argument types.
3. The key benefits of concepts like inline functions, passing by reference, and function overloading are also summarized.
The document provides an overview of functional programming concepts including:
- Functions are the primary building blocks and avoid side effects by being pure and using immutable data.
- Referential transparency means functions always return the same output for a given input.
- Higher order functions accept or return other functions. Function composition combines functions.
- Partial application and currying transform functions to accept arguments incrementally.
From object oriented to functional domain modelingCodemotion
"From object oriented to functional domain modeling" by Mario Fusco
Malgrado l'introduzione delle lambda, la gran parte degli sviluppatori Java non è ancora abituata agli idiomi della programmazione funzionale e quindi non è pronta a sfruttare a pieno le potenzialità di Java 8. In particolare non è ancora comune vedere dati e funzioni usate insieme quando si modella un dominio di business. Lo scopo del talk è mostrare come alcuni principi di programmazione funzionale quali l'impiego di oggetti e strutture dati immutabili, l'uso di funzioni senza side-effect e il loro reuso mediante composizione, possono anche essere validi strumenti di domain modelling.
This document discusses functions in C++. It defines a function as having an output type, name, and arguments within parentheses. Functions can be called by passing arguments to the function name. Functions can also be called by reference by passing the address of a variable. Some important mathematical functions are provided in the C++ math library and their Fortran equivalents are shown.
MATLAB's anonymous functions provide an easy way to specify a function. An anonymous function is a function defined without using a separate function file. It is a MATLAB feature that lets you define a mathematical expression of one or more inputs and either assign that expression to a function. This method is good for relatively simple functions that will not be used that often and that can be written in a single expression.
The inline command lets you create a function of any number of variables by giving a string containing the function followed by a series of strings denoting the order of the input variables. It is similar to an Anonymous Function
This document provides an outline and overview of functions in C++. It discusses:
- The definition of a function as a block of code that performs a specific task and can be called from other parts of the program.
- The standard library that is included in C++ and provides useful tools like containers, iterators, algorithms and more.
- The parts of a function definition including the return type, name, parameters, and body.
- How to declare functions, call functions by passing arguments, and how arguments are handled.
- Scope rules for local and global variables as they relate to functions.
This document discusses functions in C++, including function definition, function prototypes, parameters, return types, calling functions, passing arguments by value vs reference, and function overloading. It provides examples of defining functions with different return types and parameters, using function prototypes, calling functions and passing arguments, and overloading functions.
Functions allow programmers to organize C++ code into reusable blocks to perform tasks, where a function is defined with a name and parameters and can be called from other parts of the program. Functions may take parameters, return values, and be called recursively or by reference to modify external variables. The C++ standard library provides header files and built-in functions to help programmers write functions and programs.
Function overloading in C++ allows defining multiple functions with the same name as long as they have different parameters. This enables functions to perform different tasks based on the types of arguments passed. An example demonstrates defining multiple area() functions, one taking a radius and the other taking length and breadth. Inline functions in C++ avoid function call overhead by expanding the function code at the call site instead of jumping to another location. Demonstrated with an inline mul() and div() example.
Lecture#7 Call by value and reference in c++NUST Stuff
This document discusses references and reference parameters in C++. It explains that call by reference allows a function to directly access and modify the original argument, unlike call by value where only a copy is passed. A reference parameter creates an alias for the argument, allowing changes to affect the original. The document provides examples demonstrating pass by value versus pass by reference using reference parameters, and also covers default arguments, reference initialization requirements, and function overloading.
User-defined functions are similar to the MATLAB pre-defined functions. A function is a MATLAB program that can accept inputs and produce outputs. A function can be called or executed by another program or function.
Code for a function is done in an Editor window or any text editor same way as script and saved as m-file. The m-file must have the same name as the function.
The document discusses C++ functions. It explains that functions allow code to be reused by grouping common operations into reusable blocks of code called functions. Functions have three parts: a prototype that declares the function, a definition that implements it, and calls that execute the function. Functions can take parameters as input and return a value. Grouping common code into well-named functions makes a program more organized and maintainable.
Call by value or call by reference in C++Sachin Yadav
Call by value means passing the value directly to a function. The called function uses the value in a local variable; any changes to it DO NOT affect the source variable. In call by value method, the called function creates its own copies of original values sent to it. Any changes, that are made, occur on the function’s copy of values and are not reflected back to the calling function.
C++ functions require prototypes that specify the return type and parameters. Function overloading allows multiple functions to have the same name but different signatures. Default arguments allow functions to be called without providing trailing arguments. Inline functions expand the function body at the call site for small functions to reduce overhead compared to regular function calls.
The document discusses call by value and call by reference in functions. Call by value passes the actual value of an argument to the formal parameter, so any changes made to the formal parameter do not affect the actual argument. Call by reference passes the address of the actual argument, so changes to the formal parameter do directly modify the actual argument. An example program demonstrates call by value, where changing the formal parameter does not change the original variable.
This document discusses functions in C programming. It defines a function as a block of code that performs a specific task when called. It provides examples of functions used in hotel management like front office, reservation, and housekeeping. It explains function definition, declaration, calling, parameters, arguments, return statements. It differentiates between actual and formal arguments and discusses call by value and call by reference methods of passing arguments to functions.
This document discusses C++ function and operator overloading. Overloading occurs when the same name is used for functions or operators that have different signatures. Signatures are distinguished by parameter types and types are used to determine the best match. Overloading is resolved at compile-time based on arguments passed, while overriding is resolved at run-time based on object type. The document provides examples of overloading functions and operators and discusses issues like symmetry, precedence, and whether functions should be members or non-members.
PowerPoint presentation of functions in C language. It will give you brief idea how function works in C along with its unique features like return statement.
The document discusses C++ scope resolution operator (::) and pointers. It explains that :: is used to qualify hidden names and access variables or functions in the global namespace when a local variable hides it. It also discusses pointers, which are variables that store memory addresses. Pointers allow dynamic memory allocation and are useful for passing arguments by reference. Key pointer concepts covered include null pointers, pointer arithmetic, relationships between pointers and arrays, arrays of pointers, pointer to pointers, and passing/returning pointers in functions.
This document discusses functions in C++. It defines a function as a block of code that performs a specific task and can be reused. The key points made are:
- Functions allow for modular and reusable code. They group statements and give them a name to be called from other parts of a program.
- The document demonstrates simple functions in C++ through examples, including defining, declaring, calling, passing arguments to, and returning values from functions.
- Other function concepts covered include function overloading, recursion, inline functions, default arguments, scope and storage class, and global vs local variables.
This document provides information on functions in C and C++. It discusses the main components of functions including definition, declaration, prototypes, arguments, return values, scope, and recursion. It also covers function categories, nested functions, default arguments, inline functions, function overloading, and differences between calling functions by value versus reference in C++. Overall, the document serves as a tutorial on functions and their usage in C and C++ programming.
1. The document discusses various concepts related to functions in C++ such as function prototypes, passing arguments by reference, default arguments, inline functions, function overloading, and friend functions.
2. It provides examples to explain concepts like passing arguments by reference allows altering the original variable values, a friend function can access private members of a class, and function overloading allows using the same function name for different tasks based on the argument types.
3. The key benefits of concepts like inline functions, passing by reference, and function overloading are also summarized.
The document provides an overview of functional programming concepts including:
- Functions are the primary building blocks and avoid side effects by being pure and using immutable data.
- Referential transparency means functions always return the same output for a given input.
- Higher order functions accept or return other functions. Function composition combines functions.
- Partial application and currying transform functions to accept arguments incrementally.
From object oriented to functional domain modelingCodemotion
"From object oriented to functional domain modeling" by Mario Fusco
Malgrado l'introduzione delle lambda, la gran parte degli sviluppatori Java non è ancora abituata agli idiomi della programmazione funzionale e quindi non è pronta a sfruttare a pieno le potenzialità di Java 8. In particolare non è ancora comune vedere dati e funzioni usate insieme quando si modella un dominio di business. Lo scopo del talk è mostrare come alcuni principi di programmazione funzionale quali l'impiego di oggetti e strutture dati immutabili, l'uso di funzioni senza side-effect e il loro reuso mediante composizione, possono anche essere validi strumenti di domain modelling.
From object oriented to functional domain modelingMario Fusco
This document discusses moving from an object-oriented approach to a functional approach for domain modeling. It provides examples of modeling a bank account and salary calculator in both OOP and FP styles. Some key benefits of the functional approach highlighted include immutability, avoiding side effects, handling errors through monads instead of exceptions, and composing functions together through currying and composition. Overall the document advocates that while OOP and FP both have merits, modeling as functions can provide advantages in terms of understandability, testability, and extensibility of the code.
JavaScript is the programming language of the web. It can dynamically manipulate HTML content by changing element properties like innerHTML. Functions allow JavaScript code to run in response to events like button clicks or timeouts. JavaScript uses objects and prototypes to define reusable behaviors and properties for objects. It is an important language for web developers to learn alongside HTML and CSS.
This document discusses functional programming (FP) and its benefits compared to object-oriented programming (OOP). It defines FP as programming with pure functions that have no side effects. The document explores eliminating side effects through techniques like separating function concerns and returning descriptions of side effects rather than executing them. It also covers FP concepts like higher order functions, recursion, and data types like Option for handling errors/exceptions. The goal is to introduce FP techniques and when each paradigm (FP vs OOP) is best suited.
The document discusses the history of functional programming from 1903 to the present. It covers early developments like the lambda calculus in the 1930s and languages like Lisp in 1958. It also discusses key people who advanced functional programming like Alonzo Church, John McCarthy, and John Backus. The document then covers important milestones in functional programming languages between 1936 and 2013. It discusses concepts like purity, higher-order functions, and how functional programming relates to object-oriented programming.
The document is a report on the topic of computer programming and utilization prepared by group C. It discusses functions, including the definition of a function, function examples, benefits of functions, function prototypes, function arguments, and recursion. It provides examples of math library functions, global and local variables, and external variables. It also includes examples of recursive functions to calculate factorials and the Fibonacci series recursively.
This document discusses functional programming in Java 8. It begins by defining functional programming as having first-class functions without side effects, and notes how the order of execution does not matter. It provides examples of imperative versus functional code in Java. The document argues that functional programming is now more viable due to Java 8 features like lambdas and streams, and that it can provide benefits like clarity, maintenance, fewer bugs, and potential performance gains from parallelization. However, sequential streams do not necessarily outperform loops. Overall, it recommends adopting functional idioms like avoiding side effects and using higher-order functions when applicable.
Top questions with answers and code examples for JavaScript
JavaScript interview questions with answers:
What is closure in JavaScript and how does it work?
Answer: Closure is a feature in JavaScript where a function has access to its outer scope even after the outer function has returned. It is created when a function is defined inside another function, and the inner function retains access to the variables in the outer function’s scope. How do you declare a variable in JavaScript?
Answer: Variables in JavaScript can be declared using the “var”, “let” or “const” keywords. The “var” keyword is used to declare a variable with function scope, while “let” and “const” are used to declare variables with block scope.
The document discusses functional programming concepts including pure functions, immutability, higher-order functions, closures, function composition, currying, and referential transparency. It provides examples of these concepts in JavaScript and compares imperative and declarative approaches. Functional programming in Java-8 is discussed through the use of interfaces to define function types with type inference.
The document summarizes the different types of operators in Java, including arithmetic, relational, conditional, and bitwise operators. It provides examples of each type of operator and how they are used in Java code. The main types of operators covered are assignment, arithmetic, unary, relational, conditional, type comparison, and bitwise/bit shift operators. Examples are given to demonstrate how each operator is used and the output it produces.
The document discusses functions in C programming. It defines functions as mini-programs that can take in inputs, execute statements, and return outputs. Functions allow programmers to break large tasks into smaller, reusable parts. The key aspects of functions covered include: defining functions with return types and parameters; calling functions and passing arguments; return values; function prototypes; recursion; and examples of calculating factorials and acceleration using functions.
Столпы функционального программирования для адептов ООП, Николай МозговойSigma Software
This document provides an overview of functional programming concepts for object-oriented programmers. It discusses the fundamentals of FP including immutability, purity, first-class and higher-order functions, closures, and recursion. It provides examples of these concepts in languages like Lisp, F#, C#, and JavaScript. The document also compares OO and FP concepts and discusses derived FP concepts like partial application, lazy evaluation, and pattern matching.
ZIO: Powerful and Principled Functional Programming in ScalaWiem Zine Elabidine
This is an introduction of purely functional programming type safe abstractions that provide a variety of features for building asynchronous and concurrent applications data structures built on ZIO.
You'll learn by examples about the power of functional programming to solve the hard problems of software development in a principled, without compromises.
This document discusses advanced programming concepts including delegates, lambdas, closures, and control abstractions. It provides examples of using delegates and lambdas to define functions. A closure is defined as a first-class function with free variables bound in the lexical environment. The document suggests abstracting common patterns, like logging elapsed time for operations, into a reusable function that accepts a callback to parameterize the differing parts of the operation.
This document provides an overview of functional programming concepts in Java including lambda expressions, functional interfaces like Function and Consumer, streams, and the Optional API. It discusses how these features allow expressing operations like mapping, filtering, reducing in a more declarative way. The document also mentions topics for further exploration like currying, monads, dependency injection and the future of design patterns with functional programming.
C++ is an object-oriented programming language created by Bjarne Stroustrup in 1985 that maintains aspects of C while adding object-oriented features like classes. C++ can be used to create small programs or large applications across many domains. Key concepts covered include functions, classes, inheritance, polymorphism, and memory management techniques like realloc() and free().
C++ (pronounced "see plus plus") is a computer programming language based on C. It was created for writing programs for many different purposes. In the 1990s, C++ became one of the most used programming languages in the world.
The C++ programming language was developed by Bjarne Stroustrup at Bell Labs in the 1980s, and was originally named "C with classes". The language was planned as an improvement on the C programming language, adding features based on object-oriented programming. Step by step, a lot of advanced features were added to the language, like operator overloading, exception handling and templates.
Boosting MySQL with Vector Search -THE VECTOR SEARCH CONFERENCE 2025 .pdfAlkin Tezuysal
As the demand for vector databases and Generative AI continues to rise, integrating vector storage and search capabilities into traditional databases has become increasingly important. This session introduces the *MyVector Plugin*, a project that brings native vector storage and similarity search to MySQL. Unlike PostgreSQL, which offers interfaces for adding new data types and index methods, MySQL lacks such extensibility. However, by utilizing MySQL's server component plugin and UDF, the *MyVector Plugin* successfully adds a fully functional vector search feature within the existing MySQL + InnoDB infrastructure, eliminating the need for a separate vector database. The session explains the technical aspects of integrating vector support into MySQL, the challenges posed by its architecture, and real-world use cases that showcase the advantages of combining vector search with MySQL's robust features. Attendees will leave with practical insights on how to add vector search capabilities to their MySQL systems.
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.
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.
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdfRejig Digital
Unlock the future of oil & gas safety with advanced environmental detection technologies that transform hazard monitoring and risk management. This presentation explores cutting-edge innovations that enhance workplace safety, protect critical assets, and ensure regulatory compliance in high-risk environments.
🔍 What You’ll Learn:
✅ How advanced sensors detect environmental threats in real-time for proactive hazard prevention
🔧 Integration of IoT and AI to enable rapid response and minimize incident impact
📡 Enhancing workforce protection through continuous monitoring and data-driven safety protocols
💡 Case studies highlighting successful deployment of environmental detection systems in oil & gas operations
Ideal for safety managers, operations leaders, and technology innovators in the oil & gas industry, this presentation offers practical insights and strategies to revolutionize safety standards and boost operational resilience.
👉 Learn more: https://www.rejigdigital.com/blog/continuous-monitoring-prevent-blowouts-well-control-issues/
AI Agents in Logistics and Supply Chain Applications Benefits and ImplementationChristine Shepherd
AI agents are reshaping logistics and supply chain operations by enabling automation, predictive insights, and real-time decision-making across key functions such as demand forecasting, inventory management, procurement, transportation, and warehouse operations. Powered by technologies like machine learning, NLP, computer vision, and robotic process automation, these agents deliver significant benefits including cost reduction, improved efficiency, greater visibility, and enhanced adaptability to market changes. While practical use cases show measurable gains in areas like dynamic routing and real-time inventory tracking, successful implementation requires careful integration with existing systems, quality data, and strategic scaling. Despite challenges such as data integration and change management, AI agents offer a strong competitive edge, with widespread industry adoption expected by 2025.
TrustArc Webinar - 2025 Global Privacy SurveyTrustArc
How does your privacy program compare to your peers? What challenges are privacy teams tackling and prioritizing in 2025?
In the sixth annual Global Privacy Benchmarks Survey, we asked global privacy professionals and business executives to share their perspectives on privacy inside and outside their organizations. The annual report provides a 360-degree view of various industries' priorities, attitudes, and trends. See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar features an expert panel discussion and data-driven insights to help you navigate the shifting privacy landscape. Whether you are a privacy officer, legal professional, compliance specialist, or security expert, this session will provide actionable takeaways to strengthen your privacy strategy.
This webinar will review:
- The emerging trends in data protection, compliance, and risk
- The top challenges for privacy leaders, practitioners, and organizations in 2025
- The impact of evolving regulations and the crossroads with new technology, like AI
Predictions for the future of privacy in 2025 and beyond
Interested in leveling up your JavaScript skills? Join us for our Introduction to TypeScript workshop.
Learn how TypeScript can improve your code with dynamic typing, better tooling, and cleaner architecture. Whether you're a beginner or have some experience with JavaScript, this session will give you a solid foundation in TypeScript and how to integrate it into your projects.
Workshop content:
- What is TypeScript?
- What is the problem with JavaScript?
- Why TypeScript is the solution
- Coding demo
No-Code Workflows for CAD & 3D Data: Scaling AI-Driven InfrastructureSafe Software
When projects depend on fast, reliable spatial data, every minute counts.
AI Clearing needed a faster way to handle complex spatial data from drone surveys, CAD designs and 3D project models across construction sites. With FME Form, they built no-code workflows to clean, convert, integrate, and validate dozens of data formats – cutting analysis time from 5 hours to just 30 minutes.
Join us, our partner Globema, and customer AI Clearing to see how they:
-Automate processing of 2D, 3D, drone, spatial, and non-spatial data
-Analyze construction progress 10x faster and with fewer errors
-Handle diverse formats like DWG, KML, SHP, and PDF with ease
-Scale their workflows for international projects in solar, roads, and pipelines
If you work with complex data, join us to learn how to optimize your own processes and transform your results with FME.
Developing Schemas with FME and Excel - Peak of Data & AI 2025Safe Software
When working with other team members who may not know the Esri GIS platform or may not be database professionals; discussing schema development or changes can be difficult. I have been using Excel to help illustrate and discuss schema design/changes during meetings and it has proven a useful tool to help illustrate how a schema will be built. With just a few extra columns, that Excel file can be sent to FME to create new feature classes/tables. This presentation will go thru the steps needed to accomplish this task and provide some lessons learned and tips/tricks that I use to speed the process.
This OrionX's 14th semi-annual report on the state of the cryptocurrency mining market. The report focuses on Proof-of-Work cryptocurrencies since those use substantial supercomputer power to mint new coins and encode transactions on their blockchains. Only two make the cut this time, Bitcoin with $18 billion of annual economic value produced and Dogecoin with $1 billion. Bitcoin has now reached the Zettascale with typical hash rates of 0.9 Zettahashes per second. Bitcoin is powered by the world's largest decentralized supercomputer in a continuous winner take all lottery incentive network.
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
Creating an Accessible Future-How AI-powered Accessibility Testing is Shaping...Impelsys Inc.
Web accessibility is a fundamental principle that strives to make the internet inclusive for all. According to the World Health Organization, over a billion people worldwide live with some form of disability. These individuals face significant challenges when navigating the digital landscape, making the quest for accessible web content more critical than ever.
Enter Artificial Intelligence (AI), a technological marvel with the potential to reshape the way we approach web accessibility. AI offers innovative solutions that can automate processes, enhance user experiences, and ultimately revolutionize web accessibility. In this blog post, we’ll explore how AI is making waves in the world of web accessibility.
If You Use Databricks, You Definitely Need FMESafe Software
DataBricks makes it easy to use Apache Spark. It provides a platform with the potential to analyze and process huge volumes of data. Sounds awesome. The sales brochure reads as if it is a can-do-all data integration platform. Does it replace our beloved FME platform or does it provide opportunities for FME to shine? Challenge accepted
Your startup on AWS - How to architect and maintain a Lean and Mean account J...angelo60207
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.
Providing an OGC API Processes REST Interface for FME FlowSafe Software
This presentation will showcase an adapter for FME Flow that provides REST endpoints for FME Workspaces following the OGC API Processes specification. The implementation delivers robust, user-friendly API endpoints, including standardized methods for parameter provision. Additionally, it enhances security and user management by supporting OAuth2 authentication. Join us to discover how these advancements can elevate your enterprise integration workflows and ensure seamless, secure interactions with FME Flow.
2. » What is Functional Programming?
» Mutations
» Side-Effects
» Pure Functions
» Higher Order Functions
» Composition
» Advantages & Disadvantages of FP
» How does FP differ from Object-Oriented programming
2Overview
3. What is Functional Programming?
Functional programming (often abbreviated FP) is the process of
building software by
» composing pure functions,
» avoiding
» shared state,
» mutable data
» side-effects.
» Managing state flows through composition
3
4. Mutations
Mutable is a type of variable that can be changed after it is created.
In JavaScript, only objects and arrays are mutable, not primitive
values.
(You can make a variable name point to a new value, but the
previous value is still held in memory.)
4
5. Mutations 5
let a = { foo: 'bar' };
let b = a;
a.foo = 'test’;
console.log(a,b);
//{foo: "test"} {foo: "test"}
// avoiding mutation
let a = { foo: 'bar' };
let b = Object.assign({}, a);
a.foo = 'test’;
console.log(a,b);
//{foo: "test"} {foo: "bar"}
6. Side Effects
If a program / function modifies the state of something else
(outside its own scope), then it is producing a side effect.
This could effectively include something like "display a character on
the screen", or it could be changing the value stored in some
arbitrary RAM location, or anything similar.
6
7. Side Effects include
» Modifying any external variable or object property (e.g., a global
variable, or a variable in the parent function scope chain)
» Logging to the console
» Writing to the screen
» Writing to a file
» Writing to the network
» Triggering any external process
» Calling any other functions with side-effects
7
8. Pure Functions
» Must return a value
» Can’t produce any side-effects
» Must return the same output for a given input
8
9. Pure Functions Example 9
let a = 10;
function impure1(x) {
return x + a;
}
function impure2(x) {
a = 30;
return x + a;
}
console.log(impure1(10));//20
a+=10;
console.log(impure1(10));//30
console.log(impure2(10));//40
function pure(x, y) {
return x + y;
}
console.log(pure(10,10));
10. Composition
Function Composition is a mathematical concept, by which the
result of one function becomes the input of the next, and so on.
Composing functions together is like putting together a series of
pipes for our data to flow through.
10
12. Higher Order Functions
A higher-order function is a function that does at least one of the
following:
» takes one or more functions as arguments
» returns a function as its result.
12
13. Higher Order Functions Example
function greaterThan(n) {
return function(m) { return m > n; };
}
let greaterThan10 = greaterThan(10);
let greaterThan11 = greaterThan(11);
console.log(greaterThan10(11));//true
console.log(greaterThan11(11));//false
13
14. Advantages of FP
» Pure functions are easier to reason about
» Testing is easier, and pure functions lend themselves well to
techniques like property-based testing
» Debugging is easier
» Programs are more bulletproof
» Programs are written at a higher level, and are therefore easier
to comprehend
» Parallel/concurrent programming is easier
14
15. Disadvantages of FP
» Not suitable in every situation
» Needs to be clubbed with Object oriented programming in some
cases.
» Makes heavy use of recursion
15
16. How does FP differ from OOP 16
Functional Programming
» Primary Manipulation Unit is
“Function”
» Stateless Programming Model
» Functions with No-Side Effects
» Order of execution is less
importance
Object Oriented Programming
» Primary Manipulation Unit is
Objects(Instances of Classes)
» Stateful Programming Model
» Methods with Side Effects
» Order of execution is more
important.