In this session we will go over the fundamentals of functional programming and see how functional programming can help make our code more reusable, stable, scalable and fun.
The document discusses object-oriented programming (OOP) and functional programming (FP). It argues that OOP and FP are not opposites and can be effectively combined. It addresses common myths about FP, such as that it is new, hard, or only suitable for mathematical problems. The document also compares how OOP and FP approach concepts like decomposition, composition, error handling, and mutability/referential transparency. While both approaches have merits, the document concludes there is no single best approach and the choice depends on the problem and programmer preferences.
This document provides an overview of functional programming concepts including:
- Functional programming focuses on immutable data and treating computation as mathematical functions. It emphasizes eliminating side effects.
- Key concepts include first-class functions, higher-order functions, pure functions, recursion, currying, and pattern matching.
- Functional programming languages often use immutable data, recursion instead of looping, and avoid mutable state through techniques like immutable data structures and actor models.
Functional programming uses pure functions that have no side effects to make code more predictable, stable, and easier to test and maintain. It favors immutability over mutable state to avoid side effects. Complex programs are built by composing simple functions together rather than using complex objects. Higher order functions like map, filter, and reduce help avoid loops. Currying allows functions to take parameters one at a time for simpler composition.
Programming Languages Categories / Programming Paradigm By: Prof. Lili Saghafi Professor Lili Saghafi
A programming language is a notation designed to connect instructions to a machine or a computer.
Programming languages are mainly used to control the performance of a machine or to express algorithms.
At present, thousands of programming languages have been implemented.
In the computer field, many languages need to be stated in an imperative form, while other programming languages utilize declarative form.
The program can be divided into two forms such as syntax and semantics.
This document provides an overview of C++ including:
1. What a computer and computer program are, with hardware and software components.
2. The typical development process in C++ including editing, compiling, linking, loading and executing programs.
3. Examples of simple C++ programs that print text, get user input, perform calculations and make decisions.
Java is a popular High-level language. This ppt contains all the fundamentals of the Java programming language- Why one should learn Java, its history, features, applications and what type of career does Java developer have
The document discusses strings in C programming. It defines strings as sequences of characters stored as character arrays that are terminated with a null character. It covers string literals, declaring and initializing string variables, reading and writing strings, and common string manipulation functions like strlen(), strcpy(), strcmp(), and strcat(). These functions allow operations on strings like getting the length, copying strings, comparing strings, and concatenating strings.
The document discusses the principles of object-oriented programming (OOP). It begins with an introduction to OOP and compares procedural programming with OOP. Some key concepts of OOP discussed include classes, objects, encapsulation, inheritance, and polymorphism. The document also covers benefits of OOP such as code reuse and extensibility. Examples of object-oriented languages like C++ and Java are provided.
The theory of SOLID principles was
introduced by Robert C. Martin in his 2000
paper “Design Principles and Design
Patterns”.
SOLID => Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion.
For most programming/scripting languages the concepts are all the same. The only thing that changes is the syntax in which it is written. Some languages may be easier to remember than others, but if you follow the basic guide line, it will make learning any programming language easier. This is in no way supposed to teach you everything about programming, just a general knowledge so when you do program you will understand what you are doing a little bit better.
The objectives of the seminar are to shed a light on the premises of FP and give you a basic understanding of the pillars of FP so that you would feel enlightened at the end of the session. When you walk away from the seminar you should feel an inner light about the new way of programming and an urge & motivation to code like you never before did!
Functional programming should not be confused with imperative (or procedural) programming. Neither it is like object oriented programming. It is something different. Not radically so, since the concepts that we will be exploring are familiar programming concepts, just expressed in a different way. The philosophy behind how these concepts are applied to solving problems are also a little different. We shall learn and talk about essentially the fundamental elements of Functional Programming.
Pointers and call by value, reference, address in CSyed Mustafa
The document discusses various C programming concepts including:
1. It provides an example program to calculate the area of a circle using #define and shows how to conditionally compile code blocks using #if, #elif, #else and #endif.
2. It explains that the C preprocessor transforms code before compilation by allowing users to define macros and includes several built-in preprocessor directives like #include, #define, and #if.
3. It discusses static and dynamic memory allocation in C, listing functions like malloc(), calloc(), free(), and realloc() for dynamic allocation and provides examples of their use.
This document provides an overview of React and Redux. It introduces React as a component-based library for building user interfaces using JavaScript and JSX. Key aspects of React include its lifecycle methods, use of a virtual DOM for fast updates, and functional stateless components. Redux is introduced as a state management library that uses a single immutable store with actions and reducers. It follows the Flux architecture pattern without a dispatcher. Hands-on demos are provided for key React and Redux concepts. Resources for further learning are also listed.
Google is adding Kotlin as an official programming language for Android development. Kotlin is a language that runs on the JVM and has full interoperability with Java. It costs nothing to adopt! I will show some cool features of Kotlin, how it makes developing with Android easy and finally we'll see what happens under the hood when we write in Kotlin.
The document discusses data type conversion in C++. It explains that data type conversion can be either implicit (automatic) or explicit (user-defined). Implicit conversion occurs automatically during operations with mixed data types, changing operands to the larger type. Explicit conversion requires a cast operator to manually change a value's type. Four main cast operators are discussed: dynamic_cast, static_cast, reinterpret_cast, and const_cast.
This document provides an overview of topics covered in a C++ programming course, including:
- Introduction to C++ language fundamentals like data types, variables, operators, control structures, functions, and classes
- Memory concepts, arithmetic, decision making, and algorithms
- Structured and object-oriented programming principles
- The basics of the C++ environment like compilers, linkers, and input/output streams
- Common library functions and concepts like headers, prototypes, and enumerations
The document serves as an introductory reference for anyone learning C++ or wanting to understand the basic building blocks of the language.
(download for flawless quality) State Monad - Learn how it works - Follow Alvin Alexander’s example-driven build up to the State Monad and then branch off into a detailed look at its inner workings.
The document discusses key concepts of object-oriented programming including objects, classes, inheritance, polymorphism, encapsulation, and abstraction. It provides examples of constructors, method overloading and overriding, interfaces, and packages in Java.
Programming involves developing programs by specifying computational steps in a programming language. An algorithm is a logical list of steps to solve a problem. Developing good algorithms involves specifying clear input/output, variables, and ensuring the algorithm terminates in a finite number of steps. Flowcharts provide a pictorial representation of algorithm steps and are useful for explaining programs. A computer program consists of instructions provided to the computer to solve a problem.
This document provides an overview of asynchronous JavaScript. It discusses how JavaScript uses a single thread and event queue. It introduces asynchronous functions and loading scripts asynchronously. It covers the requestIdleCallback function for background tasks. The document also provides an in-depth overview of promises in JavaScript for asynchronous code, including the promise lifecycle, then and catch methods, and creating promises using the Promise constructor.
The document provides an overview of the Java programming language and related technologies including servlets, JSP, Struts, Hibernate, and Tiles. It discusses what Java is, its history and technology, the different Java editions, J2EE and its components, how servlets and JSP work, database handling with JDBC, the MVC pattern implemented by Struts, and object relational mapping with Hibernate. Tiles is described as a framework for assembling web pages from individual visual components.
This document provides an overview of string operations in C including:
- How strings are stored in memory with a null terminator
- Input and output of strings using scanf and printf
- Common string library functions like strcpy, strcat, and strlen
- Examples of justifying and manipulating strings
Functional Programming Patterns (NDC London 2014)Scott Wlaschin
(video of these slides available here http://fsharpforfunandprofit.com/fppatterns/)
In object-oriented development, we are all familiar with design patterns such as the Strategy pattern and Decorator pattern, and design principles such as SOLID.
The functional programming community has design patterns and principles as well.
This talk will provide an overview of some of these, and present some demonstrations of FP design in practice.
Functional programming for optimization problems in Big DataPaco Nathan
Functional programming techniques can help optimize problems in big data. In 1997, four independent teams worked on horizontally scaling workflows using commodity hardware, enabling major internet successes. This led to the emergence of MapReduce and Apache Hadoop, which are still used today. Functional programming allows breaking problems into independent pieces that can run in parallel.
Java is a popular High-level language. This ppt contains all the fundamentals of the Java programming language- Why one should learn Java, its history, features, applications and what type of career does Java developer have
The document discusses strings in C programming. It defines strings as sequences of characters stored as character arrays that are terminated with a null character. It covers string literals, declaring and initializing string variables, reading and writing strings, and common string manipulation functions like strlen(), strcpy(), strcmp(), and strcat(). These functions allow operations on strings like getting the length, copying strings, comparing strings, and concatenating strings.
The document discusses the principles of object-oriented programming (OOP). It begins with an introduction to OOP and compares procedural programming with OOP. Some key concepts of OOP discussed include classes, objects, encapsulation, inheritance, and polymorphism. The document also covers benefits of OOP such as code reuse and extensibility. Examples of object-oriented languages like C++ and Java are provided.
The theory of SOLID principles was
introduced by Robert C. Martin in his 2000
paper “Design Principles and Design
Patterns”.
SOLID => Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion.
For most programming/scripting languages the concepts are all the same. The only thing that changes is the syntax in which it is written. Some languages may be easier to remember than others, but if you follow the basic guide line, it will make learning any programming language easier. This is in no way supposed to teach you everything about programming, just a general knowledge so when you do program you will understand what you are doing a little bit better.
The objectives of the seminar are to shed a light on the premises of FP and give you a basic understanding of the pillars of FP so that you would feel enlightened at the end of the session. When you walk away from the seminar you should feel an inner light about the new way of programming and an urge & motivation to code like you never before did!
Functional programming should not be confused with imperative (or procedural) programming. Neither it is like object oriented programming. It is something different. Not radically so, since the concepts that we will be exploring are familiar programming concepts, just expressed in a different way. The philosophy behind how these concepts are applied to solving problems are also a little different. We shall learn and talk about essentially the fundamental elements of Functional Programming.
Pointers and call by value, reference, address in CSyed Mustafa
The document discusses various C programming concepts including:
1. It provides an example program to calculate the area of a circle using #define and shows how to conditionally compile code blocks using #if, #elif, #else and #endif.
2. It explains that the C preprocessor transforms code before compilation by allowing users to define macros and includes several built-in preprocessor directives like #include, #define, and #if.
3. It discusses static and dynamic memory allocation in C, listing functions like malloc(), calloc(), free(), and realloc() for dynamic allocation and provides examples of their use.
This document provides an overview of React and Redux. It introduces React as a component-based library for building user interfaces using JavaScript and JSX. Key aspects of React include its lifecycle methods, use of a virtual DOM for fast updates, and functional stateless components. Redux is introduced as a state management library that uses a single immutable store with actions and reducers. It follows the Flux architecture pattern without a dispatcher. Hands-on demos are provided for key React and Redux concepts. Resources for further learning are also listed.
Google is adding Kotlin as an official programming language for Android development. Kotlin is a language that runs on the JVM and has full interoperability with Java. It costs nothing to adopt! I will show some cool features of Kotlin, how it makes developing with Android easy and finally we'll see what happens under the hood when we write in Kotlin.
The document discusses data type conversion in C++. It explains that data type conversion can be either implicit (automatic) or explicit (user-defined). Implicit conversion occurs automatically during operations with mixed data types, changing operands to the larger type. Explicit conversion requires a cast operator to manually change a value's type. Four main cast operators are discussed: dynamic_cast, static_cast, reinterpret_cast, and const_cast.
This document provides an overview of topics covered in a C++ programming course, including:
- Introduction to C++ language fundamentals like data types, variables, operators, control structures, functions, and classes
- Memory concepts, arithmetic, decision making, and algorithms
- Structured and object-oriented programming principles
- The basics of the C++ environment like compilers, linkers, and input/output streams
- Common library functions and concepts like headers, prototypes, and enumerations
The document serves as an introductory reference for anyone learning C++ or wanting to understand the basic building blocks of the language.
(download for flawless quality) State Monad - Learn how it works - Follow Alvin Alexander’s example-driven build up to the State Monad and then branch off into a detailed look at its inner workings.
The document discusses key concepts of object-oriented programming including objects, classes, inheritance, polymorphism, encapsulation, and abstraction. It provides examples of constructors, method overloading and overriding, interfaces, and packages in Java.
Programming involves developing programs by specifying computational steps in a programming language. An algorithm is a logical list of steps to solve a problem. Developing good algorithms involves specifying clear input/output, variables, and ensuring the algorithm terminates in a finite number of steps. Flowcharts provide a pictorial representation of algorithm steps and are useful for explaining programs. A computer program consists of instructions provided to the computer to solve a problem.
This document provides an overview of asynchronous JavaScript. It discusses how JavaScript uses a single thread and event queue. It introduces asynchronous functions and loading scripts asynchronously. It covers the requestIdleCallback function for background tasks. The document also provides an in-depth overview of promises in JavaScript for asynchronous code, including the promise lifecycle, then and catch methods, and creating promises using the Promise constructor.
The document provides an overview of the Java programming language and related technologies including servlets, JSP, Struts, Hibernate, and Tiles. It discusses what Java is, its history and technology, the different Java editions, J2EE and its components, how servlets and JSP work, database handling with JDBC, the MVC pattern implemented by Struts, and object relational mapping with Hibernate. Tiles is described as a framework for assembling web pages from individual visual components.
This document provides an overview of string operations in C including:
- How strings are stored in memory with a null terminator
- Input and output of strings using scanf and printf
- Common string library functions like strcpy, strcat, and strlen
- Examples of justifying and manipulating strings
Functional Programming Patterns (NDC London 2014)Scott Wlaschin
(video of these slides available here http://fsharpforfunandprofit.com/fppatterns/)
In object-oriented development, we are all familiar with design patterns such as the Strategy pattern and Decorator pattern, and design principles such as SOLID.
The functional programming community has design patterns and principles as well.
This talk will provide an overview of some of these, and present some demonstrations of FP design in practice.
Functional programming for optimization problems in Big DataPaco Nathan
Functional programming techniques can help optimize problems in big data. In 1997, four independent teams worked on horizontally scaling workflows using commodity hardware, enabling major internet successes. This led to the emergence of MapReduce and Apache Hadoop, which are still used today. Functional programming allows breaking problems into independent pieces that can run in parallel.
This document provides an introduction to functional programming. It begins with an overview of functional programming languages like Haskell, Erlang, Clojure, Scala, OCaml, and F#. It then discusses the definition of functional programming, noting that a program consists entirely of functions. It reviews some key aspects of functions, including that they always provide the same output for a given input, can call other functions, and can be combined. Higher-order functions are also introduced.
The document discusses functional programming concepts like single-assignment, recursion, and immutable data structures. It provides examples of recursion in functions like factorial and selection sort. It compares iterative and recursive looping approaches and discusses advantages of functional programming like avoiding side effects and simplifying debugging.
Practical Functional Programming Presentation by Bogdan Hodorog3Pillar Global
Bogdan Hodorog's presentation on Practical Functional Programming at the Functional Angle Meetup help at 3Pillar's office in Timisoara. Bogdan Hodorog is a Software Engineer who is passionate about building, trying, and playing with software...of all sorts. He currently specializes in Python but is interested in programming languages ad operating systems of all kinds.
This document discusses the benefits of functional programming (FP) that the author learned. It begins by explaining how multithreading programs are difficult to write, test, and ensure thread safety due to mutable shared state. FP avoids these issues by not using mutable variables. The document then covers some key aspects of FP like recursion, higher-order functions, function composition, and immutable data structures. It provides examples in various languages to illustrate these concepts. The author argues that FP provides a good foundation for writing concurrent programs due to its avoidance of mutable state.
(video of these slides available here http://fsharpforfunandprofit.com/fppatterns/)
In object-oriented development, we are all familiar with design patterns such as the Strategy pattern and Decorator pattern, and design principles such as SOLID.
The functional programming community has design patterns and principles as well.
This talk will provide an overview of some of these, and present some demonstrations of FP design in practice.
Introduction to Functional Programming with Scalapramode_ce
The document provides an introduction to functional programming with Scala. It outlines the following topics that will be covered: learning Scala syntax and writing simple programs; important functional programming concepts like closures, higher-order functions, purity, lazy evaluation, currying, tail calls, immutability, and type inference; and understanding the functional programming paradigm through Scala. It also provides some background information on Scala and examples of Scala code demonstrating various concepts.
Running Containerized Node.js Services on AWS Elastic Beanstalkzupzup.org
The document discusses running containerized Node.js services on AWS Elastic Beanstalk (EB). It provides an overview of Docker containers, AWS, and AWS EB. It describes how to run containerized Node.js microservices on AWS EB, including using Dockerfiles, environment variables, and the AWS EB CLI. It discusses some trade-offs around setup time and costs for using this approach.
Functional Programming Patterns for the Pragmatic ProgrammerRaúl Raja Martínez
In this talk we will see a pragmatic approach to building a purely functional architecture that delivers cohesive functional components.
We will cover functional patterns such as Free Monads, Transformers, Kleisli arrows, dependently typed checked exceptions
and types as well as how they can be glued together to achieve pure functions that are composable, context free, dependently injectable and testable.
Dome project and code with instructions to run it can be found at:
https://github.com/47deg/func-architecture
This document discusses the program development cycle and different programming paradigms. The program development cycle includes steps like analysis, design, coding, testing and debugging, and documentation. It then defines four major programming paradigms: imperative, functional, logic, and object-oriented. Each paradigm is described in terms of its approach, examples of languages that use it, and differences from the other paradigms.
In this first lecture, we discuss software quality, introduce the quality characteristic of maintainability, and argue that maintainability can be studied from four different points of view: (1) quality models, (2) good practices, (3) social studies, and (4) developers' studies. We discuss major works and results for these four points of view and show the last three can be used in the first one to build better quality models. We show that quality models are mandatory to make sense of any quality evaluation.
Describe professional programing languages and talks Ed Bray
The document describes the different components of a computer including the hardware which consists of physical components like processors and memory, and the software which are programs that can be understood by the hardware. It then discusses the different generations of programming languages from low-level machine code to high-level abstract languages, as well as language translators like assemblers, compilers, and interpreters that translate programs between different language levels.
Building a Large Scale SEO/SEM Application with Apache Solr: Presented by Rah...Lucidworks
The document discusses building a large scale SEO/SEM application using Apache Solr. It describes some of the key challenges faced in indexing and searching over 40 billion records in the application's database each month. It discusses techniques used to optimize the data import process, create a distributed index across multiple tables, address out of memory errors, and improve search performance through partitioning, index optimization, and external caching.
The document discusses the process of writing a computer program. It explains that programming involves breaking a problem down into a logical sequence of steps. There are two main phases: the problem-solving phase where the problem is analyzed and an algorithm is developed, and the implementation phase where the algorithm is translated into a programming language and tested. The process also includes a maintenance phase to modify the program as needed over time.
Ruby is an object-oriented scripting language with features like mixins, metaprogramming, and dynamic typing. It allows defining functions and methods that can take blocks or lambdas as arguments. Arrays, hashes, and ranges provide ways to iterate over collections. Strings support interpolation and methods like split. Classes define methods that can access fields and local variables. The JSON library extends core types like Hash to add methods like to_json for serialization.
Basic principles and advantages of functional programming and why it's getting more and more traction - including for building web-scale / reactive apps
The document discusses functional programming concepts that can be applied to the C programming language. It covers topics like first-class functions using function pointers, higher-order functions, pure functions, recursion, and immutability using the const keyword. The document emphasizes that while C is not a purely functional language, applying functional programming principles can help make code more modular, reusable, predictable and less error-prone.
Functional programming for the Advanced BeginnerLuis Atencio
Functional Programming for the advanced beginner covers functional programming concepts like composition, currying, functors, applicatives, and monads. It provides an overview of functional programming principles like avoiding side effects, favoring expressions over statements, and immutable data. Key topics include functional composition by combining functions, partial function application using currying, and using functors, applicatives and monads to manage effects in a declarative way. The document emphasizes that functional programming is about mapping types rather than mutating state, and controlling program flow through function composition rather than conditionals or loops.
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 discusses the key concepts of functional programming including:
- Functional programming uses functions as building blocks and avoids mutable state and side effects.
- Pure functions, immutability, recursion, and function composition are important characteristics.
- Functional programming is well-suited for concurrency since immutable data prevents data races.
- Some benefits of functional programming include simpler code for complex problems, increased correctness from avoiding side effects, and ease of parallelization for concurrency.
This document discusses functional programming and its benefits. It begins with an overview of functional programming concepts like pure functions, referential transparency, and immutability. It then covers functional programming techniques like higher order functions, recursion, composition, and pattern matching. Examples are given comparing imperative and functional implementations for quicksort and optional types. The document argues that functional programming leads to cleaner code by improving modularity, testability and adherence to SOLID principles. It recommends starting with functional features in existing languages and learning Haskell to fully embrace the functional paradigm.
Functional programming uses immutable values, pure functions, and precise types to simplify code, enable free concurrency and parallelism, and make code easier to reason about and reuse. It aims to reduce complexity by eliminating state changes and side effects. Key aspects include immutable values that can be safely shared, pure functions without side effects, recursion to loop, and higher order functions that take or return other functions. Functional programming benefits include simple, reusable, and parallelizable code that is easier to reason about due to the absence of mutation and side effects.
Scala is a programming language that runs on the JVM and fuses functional and object-oriented paradigms. It aims to provide functional programming for programmers with an imperative mindset. Key features include functions as first-class values, pattern matching, traits for composition, and seamless interoperability with Java. While some features appear to be language features, many are actually implemented via libraries. The Scala community is growing with adoption by companies and increasing support in tools and publications.
Introduction to functional programming (In Arabic)Omar Abdelhafith
Functional programming is a declarative programming paradigm where programs are built around mathematical functions and immutable data transformation (1). Key aspects include using pure functions that always return the same output for the same input and avoid side effects, immutable data that does not change state, representing everything as expressions rather than statements, and treating functions as data that can be passed into other functions or returned from them (2). These characteristics allow functional programs to be deterministic, avoid bugs from mutable state, and more easily write parallel and distributed programs (3).
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.
"Functional Programming in a Nutshell" by Adityo Pratomo (Froyo Framework)Tech in Asia ID
Functional programming is a declarative programming paradigm that treats computation as the evaluation of mathematical functions and avoids changing-state and mutable data. It focuses on describing what a computation should do instead of how to do it. Some key aspects of functional programming include pure functions, immutable data, and function composition where smaller functions are combined to create larger functions. Functional programming can help create testable, modular code with reduced bugs by avoiding side effects. It is commonly used for data processing and front-end development using languages like Elixir, Clojure, Haskell, and Elm.
This slide contains short introduction to different elements of functional programming along with some specific techniques with which we use functional programming in Swift.
What is functional programming? This talk sets out to demystify the functional programming paradigm, debunk common myths, and reveal examples of why FP is advantageous compared to imperative programming.
Functional Programming in JavaScript by Luis AtencioLuis Atencio
This document provides an overview of functional programming concepts using JavaScript. It discusses thinking functionally by avoiding side effects, writing declaratively, and ensuring functions always return values. Functional techniques like currying, composition, and memoization are explained. It also covers paradigms like referential transparency and the Liskov substitution principle. The document discusses how JavaScript supports functional programming with features like closures and higher-order functions. Common libraries for functional programming in JavaScript are listed. Finally, the document covers advanced topics like functors, monads, and how they can be used for error handling.
The document discusses functional programming concepts and their application to big data problems. It provides an overview of functional programming foundations and languages. Key functional programming concepts discussed include first-class functions, pure functions, recursion, and immutability. These concepts are well-suited for data-centric applications like Hadoop MapReduce. The document also presents a case study comparing an imperative approach to a transaction processing problem to a functional approach, showing that the functional version was faster and avoided side effects.
Functional Programming - Past, Present and FuturePushkar Kulkarni
Functional programming has evolved significantly since its origins in lambda calculus. Key developments include Lisp (1958), ML (1973), Haskell (1990), and more recently languages for the JVM like Scala (2004) and Clojure (2007). Functional concepts like immutable data, higher-order functions, lazy evaluation and currying allow a more declarative style and improved performance. Advances like tail call optimization and parallelism address early performance issues. Future areas include dependent types as in Idris and embracing functional principles in mainstream languages like Java 8. Functional programming changes how we think about solving problems.
Functional Programming Past Present FutureIndicThreads
Presented at the IndicThreads.com Software Development Conference 2016 held in Pune, India. More at http://www.IndicThreads.com and http://Pune16.IndicThreads.com
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This document provides an introduction to functional programming. It begins by explaining that while programs with functions could be considered functional, functional programming specifically avoids mutable state and treats computation as mathematical function evaluation. It then contrasts imperative vs declarative programming and gives examples in different languages. Finally, it demonstrates how JavaScript supports some functional programming concepts like first-class functions and provides a short example of mapping a function over an array to summarize the key ideas of functional programming.
From Chaos to Clarity - Designing (AI-Ready) APIs with APIOps CyclesMarjukka Niinioja
Teams delivering API are challenges with:
- Connecting APIs to business strategy
- Measuring API success (audit & lifecycle metrics)
- Partner/Ecosystem onboarding
- Consistent documentation, security, and publishing
🧠 The big takeaway?
Many teams can build APIs. But few connect them to value, visibility, and long-term improvement.
That’s why the APIOps Cycles method helps teams:
📍 Start where the pain is (one “metro station” at a time)
📈 Scale success across strategy, platform, and operations
🛠 Use collaborative canvases to get buy-in and visibility
Want to try it and learn more?
- Follow APIOps Cycles in LinkedIn
- Visit the www.apiopscycles.com site
- Subscribe to email list
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In this session we cover the benefits of a migration to Cosmos DB, migration paths, common pain points and best practices. We share our firsthand experiences and customer stories. Adiom is the trusted partner for migration solutions that enable seamless online database migrations from MongoDB to Cosmos DB vCore, and DynamoDB to Cosmos DB for NoSQL.
Revolutionize Your Insurance Workflow with Claims Management SoftwareInsurance Tech Services
Claims management software enhances efficiency, accuracy, and satisfaction by automating processes, reducing errors, and speeding up transparent claims handling—building trust and cutting costs. Explore More - https://www.damcogroup.com/insurance/claims-management-software
Integrating Survey123 and R&H Data Using FMESafe Software
West Virginia Department of Transportation (WVDOT) actively engages in several field data collection initiatives using Collector and Survey 123. A critical component for effective asset management and enhanced analytical capabilities is the integration of Geographic Information System (GIS) data with Linear Referencing System (LRS) data. Currently, RouteID and Measures are not captured in Survey 123. However, we can bridge this gap through FME Flow automation. When a survey is submitted through Survey 123 for ArcGIS Portal (10.8.1), it triggers FME Flow automation. This process uses a customized workbench that interacts with a modified version of Esri's Geometry to Measure API. The result is a JSON response that includes RouteID and Measures, which are then applied to the feature service record.
Wondershare PDFelement Pro 11.4.20.3548 Crack Free DownloadPuppy jhon
➡ 🌍📱👉COPY & PASTE LINK👉👉👉 ➤ ➤➤ https://drfiles.net/
Wondershare PDFelement Professional is professional software that can edit PDF files. This digital tool can manipulate elements in PDF documents.
A brief introduction to OpenTelemetry, with a practical example of auto-instrumenting a Java web application with the Grafana stack (Loki, Grafana, Tempo, and Mimir).
Automating Map Production With FME and PythonSafe Software
People still love a good paper map, but every time a request lands on a GIS team’s desk, it takes time to create that perfect, individual map—even when you're ready and have projects prepped. Then come the inevitable changes and iterations that add even more time to the process. This presentation explores a solution for automating map production using FME and Python. FME handles the setup of variables, leveraging GIS reference layers and parameters to manage details like map orientation, label sizes, and layout elements. Python takes over to export PDF maps for each location and template size, uploading them monthly to ArcGIS Online. The result? Fresh, regularly updated maps, ready for anyone to grab anytime—saving you time, effort, and endless revisions while keeping users happy with up-to-date, accessible maps.
In a tight labor market and tighter economy, PMOs and resource managers must ensure that every team member is focused on the highest-value work. This session explores how AI reshapes resource planning and empowers organizations to forecast capacity, prevent burnout, and balance workloads more effectively, even with shrinking teams.
14 Years of Developing nCine - An Open Source 2D Game FrameworkAngelo Theodorou
A 14-year journey developing nCine, an open-source 2D game framework.
This talk covers its origins, the challenges of staying motivated over the long term, and the hurdles of open-sourcing a personal project while working in the game industry.
Along the way, it’s packed with juicy technical pills to whet the appetite of the most curious developers.
Bonk coin airdrop_ Everything You Need to Know.pdfHerond Labs
The Bonk airdrop, one of the largest in Solana’s history, distributed 50% of its total supply to community members, significantly boosting its popularity and Solana’s network activity. Below is everything you need to know about the Bonk coin airdrop, including its history, eligibility, how to claim tokens, risks, and current status.
https://blog.herond.org/bonk-coin-airdrop/
Meet You in the Middle: 1000x Performance for Parquet Queries on PB-Scale Dat...Alluxio, Inc.
Alluxio Webinar
June 10, 2025
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
David Zhu (Engineering Manager @ Alluxio)
Storing data as Parquet files on cloud object storage, such as AWS S3, has become prevalent not only for large-scale data lakes but also as lightweight feature stores for training and inference, or as document stores for Retrieval-Augmented Generation (RAG). However, querying petabyte-to-exabyte-scale data lakes directly from S3 remains notoriously slow, with latencies typically ranging from hundreds of milliseconds to several seconds.
In this webinar, David Zhu, Software Engineering Manager at Alluxio, will present the results of a joint collaboration between Alluxio and a leading SaaS and data infrastructure enterprise that explored leveraging Alluxio as a high-performance caching and acceleration layer atop AWS S3 for ultra-fast querying of Parquet files at PB scale.
David will share:
- How Alluxio delivers sub-millisecond Time-to-First-Byte (TTFB) for Parquet queries, comparable to S3 Express One Zone, without requiring specialized hardware, data format changes, or data migration from your existing data lake.
- The architecture that enables Alluxio’s throughput to scale linearly with cluster size, achieving one million queries per second on a modest 50-node deployment, surpassing S3 Express single-account throughput by 50x without latency degradation.
- Specifics on how Alluxio offloads partial Parquet read operations and reduces overhead, enabling direct, ultra-low-latency point queries in hundreds of microseconds and achieving a 1,000x performance gain over traditional S3 querying methods.
Marketo & Dynamics can be Most Excellent to Each Other – The SequelBradBedford3
So you’ve built trust in your Marketo Engage-Dynamics integration—excellent. But now what?
This sequel picks up where our last adventure left off, offering a step-by-step guide to move from stable sync to strategic power moves. We’ll share real-world project examples that empower sales and marketing to work smarter and stay aligned.
If you’re ready to go beyond the basics and do truly most excellent stuff, this session is your guide.
How the US Navy Approaches DevSecOps with Raise 2.0Anchore
Join us as Anchore's solutions architect reveals how the U.S. Navy successfully approaches the shift left philosophy to DevSecOps with the RAISE 2.0 Implementation Guide to support its Cyber Ready initiative. This session will showcase practical strategies for defense application teams to pivot from a time-intensive compliance checklist and mindset to continuous cyber-readiness with real-time visibility.
Learn how to break down organizational silos through RAISE 2.0 principles and build efficient, secure pipeline automation that produces the critical security artifacts needed for Authorization to Operate (ATO) approval across military environments.
Join the Denver Marketo User Group, Captello and Integrate as we dive into the best practices, tools, and strategies for maintaining robust, high-performing databases. From managing vendors and automating orchestrations to enriching data for better insights, this session will unpack the key elements that keep your data ecosystem running smoothly—and smartly.
We will hear from Steve Armenti, Twelfth, and Aaron Karpaty, Captello, and Frannie Danzinger, Integrate.
Plooma is a writing platform to plan, write, and shape books your wayPlooma
Plooma is your all in one writing companion, designed to support authors at every twist and turn of the book creation journey. Whether you're sketching out your story's blueprint, breathing life into characters, or crafting chapters, Plooma provides a seamless space to organize all your ideas and materials without the overwhelm. Its intuitive interface makes building rich narratives and immersive worlds feel effortless.
Packed with powerful story and character organization tools, Plooma lets you track character development and manage world building details with ease. When it’s time to write, the distraction-free mode offers a clean, minimal environment to help you dive deep and write consistently. Plus, built-in editing tools catch grammar slips and style quirks in real-time, polishing your story so you don’t have to juggle multiple apps.
What really sets Plooma apart is its smart AI assistant - analyzing chapters for continuity, helping you generate character portraits, and flagging inconsistencies to keep your story tight and cohesive. This clever support saves you time and builds confidence, especially during those complex, detail packed projects.
Getting started is simple: outline your story’s structure and key characters with Plooma’s user-friendly planning tools, then write your chapters in the focused editor, using analytics to shape your words. Throughout your journey, Plooma’s AI offers helpful feedback and suggestions, guiding you toward a polished, well-crafted book ready to share with the world.
With Plooma by your side, you get a powerful toolkit that simplifies the creative process, boosts your productivity, and elevates your writing - making the path from idea to finished book smoother, more fun, and totally doable.
Get Started here: https://www.plooma.ink/
Key AI Technologies Used by Indian Artificial Intelligence CompaniesMypcot Infotech
Indian tech firms are rapidly adopting advanced tools like machine learning, natural language processing, and computer vision to drive innovation. These key AI technologies enable smarter automation, data analysis, and decision-making. Leading developments are shaping the future of digital transformation among top artificial intelligence companies in India.
For more information please visit here https://www.mypcot.com/artificial-intelligence
5. Concepts
● Declarative vs. Imperative
● Pure Functions
● Higher Order Functions (+Lambdas)
● Immutability
● Recursion
● Laziness
● map/filter/reduce/zip/flatMap
● Currying
6. Declarative vs. Imperative
● Defining WHAT to do vs. HOW to do it
● Expressive
● Improve / Optimize underlying algorithms
● Eliminate Side-effects as much as possible
8. Concepts
● Declarative vs. Imperative
● Pure Functions
● Higher Order Functions (+Lambdas)
● Immutability
● Recursion
● Laziness
● map/filter/reduce/zip/flatMap
● Currying
9. Pure Functions
● No side-effects
● Referential Transparency (caching, ...)
● Thread-safe
● Compiler-Optimizations
● ...
10. Concepts
● Declarative vs. Imperative
● Pure Functions
● Higher Order Functions (+Lambdas)
● Immutability
● Recursion
● Laziness
● map/filter/reduce/zip/flatMap
● Currying
11. Higher Order Functions
● Critical concept in FP
● Functions can take functions as arguments
● Functions can return functions
● Enables functional composition
14. Concepts
● Declarative vs. Imperative
● Pure Functions
● Higher Order Functions (+Lambdas)
● Immutability
● Recursion
● Laziness
● map/filter/reduce/zip/flatMap
● Currying
15. Immutability
● Persistent Data Structures
● Every time a data structure would be mutated, a new one
is returned instead
● Simplifies state management and mutation tracking
● Enables optimizations
● Works well with pure functions
● Memory overhead is mitigated by sharing (Tries)
16. Concepts
● Declarative vs. Imperative
● Pure Functions
● Higher Order Functions (+Lambdas)
● Immutability
● Recursion
● Laziness
● map/filter/reduce/zip/flatMap
● Currying
17. Recursion
● Divide and Conquer
● Can provide elegant solutions for complex problems
● Not as complicated to do, if one knows how ;)
19. Concepts
● Declarative vs. Imperative
● Pure Functions
● Higher Order Functions (+Lambdas)
● Immutability
● Recursion
● Laziness
● map/filter/reduce/zip/flatMap
● Currying
20. Laziness
● Evaluation is deferred to the last possible moment
● Avoids needless calculations
● Working with infinite data structures
● Works very well with declarative programming
28. Concepts
● Declarative vs. Imperative
● Pure Functions
● Higher Order Functions (+Lambdas)
● Immutability
● Recursion
● Laziness
● map/filter/reduce/zip/flatMap
● Currying
29. Currying
● Concept by Haskell Curry
● Translating a function that takes multiple arguments into
a sequence of functions which all take 1 argument
● e.g.: add(a, b) AND add(a)(b)
● Improves reusability and composition
● In some languages (Haskell, F#) functions are curried by
default
39. Immutability in practice
● Data Structures don’t necessarily need to be persistent
in nature
● Use map / filter / reduce
● Examples in JS:
40. Maybe / Optional
● Pattern for handling absent (e.g.: Null) values
● Avoid annoying if (x==null) checks
● Great for declarative API’s
● Your business logic doesn’t need to deal with null
values, it can just use Maybe()’s
○ At the end, when the actual value is needed, the Maybe can be
evaluated and the null can be handled