This document discusses Swift and transformations. It begins by introducing typed transforms in Swift using protocols like AngleProtocol. It defines operations like addition and subtraction for angle types that conform to AngleProtocol. It also defines conversions between radians and degrees. Next, it discusses 2D points using a Point2DProtocol. It implements operations like addition and subtraction for point types. It then discusses affine transforms for points using a CGAffineTransform type. It shows how to apply transforms to points and concatenate multiple transforms. Finally, it provides an example of drawing a house shape to a graphics context after applying various coordinate space transforms.
The document defines several protocols for algebraic structures like AdditiveGroup, Ring, and Field to represent types that can be added, multiplied, and have identities and inverses. It provides extensions for types like Int and Rational to conform to these protocols by implementing the required operations. The document also defines a EuclideanRing protocol to represent types that support Euclidean division and uses it to implement the gcd algorithm for polynomial types.
The document discusses open source programming languages and the Dynamic Language Runtime (DLR), noting that the DLR allows hosting "eval" of any language in any language and makes it possible to write a programming language without building a compiler. It also promotes several open source projects related to dynamic languages like IronPython, IronRuby, and the DLR itself. Examples are given of embedding dynamic languages in applications and using REPL environments.
The document describes ray tracing and how it can be implemented in a modular way using ZIO. It discusses:
1. The key components of ray tracing including a world (spheres, light source, camera), incident rays, reflected rays, discarded rays, and colored pixels on a canvas.
2. Options for computing rays, including computing all rays or only those from the camera through the canvas.
3. How transformations can be handled in a module with services to apply transformations and compose them.
4. Other modules including for camera, world, and rastering to generate colored pixels from the world and camera. The overall architecture is designed to be composable using ZIO.
The document describes ZIO, a functional programming library for Scala. It discusses how:
- ZIO programs are values that define effects to run concurrently using fibers.
- The R in ZIO[R, E, A] represents requirements - services required to run the program.
- Requirements can be eliminated by providing values using ZIO.provide.
- Modules define services using Has and provide accessor methods via ZIO.accessM.
- ZLayer represents recipes for building requirement outputs from inputs or resources. It is backed by ZManaged for safe acquisition/release.
The Ring programming language version 1.5.3 book - Part 87 of 184Mahmoud Samir Fayed
This document provides documentation for Ring version 1.5.3 and describes intermediate code generated during compilation. It includes sections on setting variables, calling methods, conditional jumps, returning values, and printing the final intermediate code. Code snippets show operations like pushing values to the stack, loading variables, calling methods, and returning. The document provides technical details about Ring's compilation process and the intermediate code it generates.
The document discusses queues, which implement the FIFO (first-in, first-out) policy. It describes the queue ADT interface with functions like enqueue(), dequeue(), and getFront(). It provides examples of using a queue and implementing queues using linked lists or arrays. Circular arrays are described as another implementation where the front and back pointers wrap around the end of the array. Checks for empty and full states are also covered.
The Ring programming language version 1.3 book - Part 25 of 88Mahmoud Samir Fayed
This chapter summarizes various functions available in the Ring standard library (stdlib) for input/output, file handling, string manipulation, and mathematical operations. Some of the functions described include puts() and print() for output, getstring() and getnumber() for input, apppath() and justfilepath() for file paths, split() and splitmany() for string splitting, newlist() for multidimensional lists, capitalized() for capitalization, and mathematical functions like factorial(), fibonacci(), gcd(), and isprime() for prime checking. Many examples are provided to demonstrate the usage of these stdlib functions.
"О некоторых особенностях Objective-C++" Влад Михайленко (Maps.Me)AvitoTech
В своём докладе Влад будет говорить об использовании STL, управлении памятью, как работает ARC и C++, лямбды и блоки. И самое главное: где и как можно «выстрелить себе в ногу».
The document defines several protocols for algebraic structures like AdditiveGroup, Ring, and Field to represent types that can be added, multiplied, and have identities and inverses. It provides extensions for types like Int and Rational to conform to these protocols by implementing the required operations. The document also defines a EuclideanRing protocol to represent types that support Euclidean division and uses it to implement the gcd algorithm for polynomial types.
The document discusses open source programming languages and the Dynamic Language Runtime (DLR), noting that the DLR allows hosting "eval" of any language in any language and makes it possible to write a programming language without building a compiler. It also promotes several open source projects related to dynamic languages like IronPython, IronRuby, and the DLR itself. Examples are given of embedding dynamic languages in applications and using REPL environments.
The document describes ray tracing and how it can be implemented in a modular way using ZIO. It discusses:
1. The key components of ray tracing including a world (spheres, light source, camera), incident rays, reflected rays, discarded rays, and colored pixels on a canvas.
2. Options for computing rays, including computing all rays or only those from the camera through the canvas.
3. How transformations can be handled in a module with services to apply transformations and compose them.
4. Other modules including for camera, world, and rastering to generate colored pixels from the world and camera. The overall architecture is designed to be composable using ZIO.
The document describes ZIO, a functional programming library for Scala. It discusses how:
- ZIO programs are values that define effects to run concurrently using fibers.
- The R in ZIO[R, E, A] represents requirements - services required to run the program.
- Requirements can be eliminated by providing values using ZIO.provide.
- Modules define services using Has and provide accessor methods via ZIO.accessM.
- ZLayer represents recipes for building requirement outputs from inputs or resources. It is backed by ZManaged for safe acquisition/release.
The Ring programming language version 1.5.3 book - Part 87 of 184Mahmoud Samir Fayed
This document provides documentation for Ring version 1.5.3 and describes intermediate code generated during compilation. It includes sections on setting variables, calling methods, conditional jumps, returning values, and printing the final intermediate code. Code snippets show operations like pushing values to the stack, loading variables, calling methods, and returning. The document provides technical details about Ring's compilation process and the intermediate code it generates.
The document discusses queues, which implement the FIFO (first-in, first-out) policy. It describes the queue ADT interface with functions like enqueue(), dequeue(), and getFront(). It provides examples of using a queue and implementing queues using linked lists or arrays. Circular arrays are described as another implementation where the front and back pointers wrap around the end of the array. Checks for empty and full states are also covered.
The Ring programming language version 1.3 book - Part 25 of 88Mahmoud Samir Fayed
This chapter summarizes various functions available in the Ring standard library (stdlib) for input/output, file handling, string manipulation, and mathematical operations. Some of the functions described include puts() and print() for output, getstring() and getnumber() for input, apppath() and justfilepath() for file paths, split() and splitmany() for string splitting, newlist() for multidimensional lists, capitalized() for capitalization, and mathematical functions like factorial(), fibonacci(), gcd(), and isprime() for prime checking. Many examples are provided to demonstrate the usage of these stdlib functions.
"О некоторых особенностях Objective-C++" Влад Михайленко (Maps.Me)AvitoTech
В своём докладе Влад будет говорить об использовании STL, управлении памятью, как работает ARC и C++, лямбды и блоки. И самое главное: где и как можно «выстрелить себе в ногу».
This document discusses user defined functions (UDFs) in Apache Pig and how they can be used to extend Pig's capabilities. It provides examples of EvalFunc, FilterFunc, and AggregateFunctions. It also demonstrates how to write UDFs to take snapshots of data over time periods and retrieve the latest value from bags or maps. The document emphasizes that UDFs allow Pig to handle complex tasks like image processing, geo computations, and web scraping.
Делаем пользовательское Api на базе ShapelessВадим Челышов
Shapeless is used to create a generic and type-level API for Spark jobs. It allows defining job arguments and context in a typesafe way using HList and type classes. The boilerplate of defining job arguments and context is eliminated by using Shapeless combinators and type level programming.
This document provides an introduction and overview of Pig UDFs (User Defined Functions). It discusses what UDFs are, why they are used, and how to write and use them. The main types of UDFs covered are EvalFunc and LoadFunc. EvalFunc basics are explained using the example of the UPPER EvalFunc from the Piggybank. More advanced EvalFunc topics like returning Tuples are also covered. Finally, the document mentions the Piggybank as a source of common UDFs.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1TpXAZV.
Scalaz-Stream (soon to be called "FS2" or "Functional Streams for Scala") is a library that lets us write compositional, modular, safe, and efficient asynchronous I/O using an expressive purely functional API. Runar Bjarnason presents how to get started with the library, shows some examples, and how we can combine functional streams into large distributed systems. Filmed at qconlondon.com.
Runar Bjarnason is software engineer in Boston, the author of the book Functional Programming in Scala, and an occasional speaker on topics in functional programming.
The Ring programming language version 1.5.4 book - Part 77 of 185Mahmoud Samir Fayed
This document describes several low-level functions in Ring for interacting directly with memory and pointers. It discusses functions like callgc() to manually call the garbage collector, varptr() to get a pointer to a variable, space() to allocate memory, and object2pointer/pointer2object for converting between Ring objects and pointers. It also covers functions for working with pointers like nullpointer(), ptrcmp() for comparing pointers, and functions for introspecting the runtime like ringvm_functionslist().
The document defines functions and classes for initializing and managing an interactive frame component. It initializes an instance of the component class, parses configuration data, registers callbacks, and handles events like clicks and visibility changes to trigger configured actions.
FS2 (previously called Scalaz-Stream) is a library that facilitates purely functional API to encode stream processing in a modular and composable manner.
Due to its functional abstraction around "streams" of data, FS2 enables isolating and delaying the side-effects until the streams are fully composed and assembled into its final execution context.
The main objectives of this talk are to get started with FS2, particularly with its functional approach to stream processing, and to dive into details of its semantics.
The Ring programming language version 1.9 book - Part 90 of 210Mahmoud Samir Fayed
This document provides documentation on low-level functions in Ring that give access to the Ring virtual machine and runtime system. It describes functions for garbage collection, pointers, memory allocation, querying lists of functions, classes, packages, and more. It also covers functions for tracing, debugging, and interacting with the Ring VM.
Higher Order Components and Render PropsNitish Phanse
The document discusses higher order components (HOCs) in React. It begins by introducing HOCs as functions that take a component and return a new component. Various examples of HOCs are provided, including for purposes like code splitting, server side rendering, data tracking, and component logging. Key tips are provided, such as avoiding HOCs inside render and that refs are not passed through. The document also discusses how render props can be used as an alternative pattern to HOCs in some cases, and provides examples of common use cases like async data fetching and geolocation. It concludes by explaining that HOCs can also be created using a render prop approach.
The document discusses passing command line arguments to the main function in C programs. It explains that the argc parameter indicates the number of arguments passed, and argv is an array of string pointers to the arguments. It provides an example program that prints the argc and argv values when running "./hello 10". The output shows argc is 2, with the first element of argv being "./hello" and the second being the passed string "10". It notes the executable name is always the first argv element, and that arguments are passed as strings, so must be converted to other types like numbers before use.
This document discusses operator overloading in C++. It defines operator overloading as polymorphism that gives user-defined meaning to operators when used with custom data types. Almost any operator can be overloaded except a few like :: and sizeof. Overloaded operators can be implemented as member functions, non-member functions, or friend functions. There are also rules for operator overloading, such as preserving precedence and arity of operators and requiring certain operators like [] and -> to be member functions. The document provides examples of overloading unary and binary operators as member and friend functions.
The document discusses variable argument functions in C. It explains that variable argument functions allow a function to take a variable number of arguments. It provides examples of common variable argument functions like printf and scanf. It then describes how to create a variadic function using the stdarg.h header file and macros like va_list, va_start, va_arg, and va_end. Finally, it provides examples of functions that find the minimum and average of a variable number of input arguments.
The Ring programming language version 1.5.1 book - Part 20 of 180Mahmoud Samir Fayed
This document summarizes key aspects of lists in the Ring programming language. Lists can be created using square brackets or the ":" operator to define list items. The size of a list can be retrieved using len(). Items can be added or deleted from lists using add() or del(). Individual items can be accessed or set using list indexing. Items can be searched for using find() or binarysearch() for sorted lists.
The Ring programming language version 1.5.2 book - Part 21 of 181Mahmoud Samir Fayed
This document provides information about functions and recursion in the Ring programming language. It discusses defining functions, calling functions, declaring parameters, sending parameters, the main function, variable scope, return values, and recursion. Specifically, it explains that Ring supports recursion through functions calling themselves with different parameters, and provides an example of a recursive factorial function.
Talk given at Mozilla's first View Source Conference in Portland, 2015. Details out the parallels between graphics and game developments compared to traditional web development.
[Codemotion 2015] patrones de diseño con java8Alonso Torres
Presentada en el Codemotion Madrid 2015.
Abstract:
Han pasado más de 20 años desde la publicación del famoso libro "Patrones de diseño" por el grupo conocido como "Gang of Four".
Durante años, estos patrones han mantenido su actualidad por ser lo suficientemente genéricos para todo tipo de software y resolver problemas comunes de diseño de las aplicaciones que desarrollamos a diario.
Pero algo ha cambiado con Java 8.
Con las nuevas características de Java 8, y en especial las lambdas, es necesario revisitar estos famosos patrones para adaptarlos a sus nuevas funcionalidades.
En esta charla repasaremos algunos de los famosos patrones viendo como adaptarlos a las nuevas características de Java. Además, podremos ver como mejorar nuestro tradicional diseño orientado a objetos gracias a las lambdas y a la programación funcional.
This document discusses user defined functions (UDFs) in Apache Pig and how they can be used to extend Pig's capabilities. It provides examples of EvalFunc, FilterFunc, and AggregateFunctions. It also demonstrates how to write UDFs to take snapshots of data over time periods and retrieve the latest value from bags or maps. The document emphasizes that UDFs allow Pig to handle complex tasks like image processing, geo computations, and web scraping.
Делаем пользовательское Api на базе ShapelessВадим Челышов
Shapeless is used to create a generic and type-level API for Spark jobs. It allows defining job arguments and context in a typesafe way using HList and type classes. The boilerplate of defining job arguments and context is eliminated by using Shapeless combinators and type level programming.
This document provides an introduction and overview of Pig UDFs (User Defined Functions). It discusses what UDFs are, why they are used, and how to write and use them. The main types of UDFs covered are EvalFunc and LoadFunc. EvalFunc basics are explained using the example of the UPPER EvalFunc from the Piggybank. More advanced EvalFunc topics like returning Tuples are also covered. Finally, the document mentions the Piggybank as a source of common UDFs.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1TpXAZV.
Scalaz-Stream (soon to be called "FS2" or "Functional Streams for Scala") is a library that lets us write compositional, modular, safe, and efficient asynchronous I/O using an expressive purely functional API. Runar Bjarnason presents how to get started with the library, shows some examples, and how we can combine functional streams into large distributed systems. Filmed at qconlondon.com.
Runar Bjarnason is software engineer in Boston, the author of the book Functional Programming in Scala, and an occasional speaker on topics in functional programming.
The Ring programming language version 1.5.4 book - Part 77 of 185Mahmoud Samir Fayed
This document describes several low-level functions in Ring for interacting directly with memory and pointers. It discusses functions like callgc() to manually call the garbage collector, varptr() to get a pointer to a variable, space() to allocate memory, and object2pointer/pointer2object for converting between Ring objects and pointers. It also covers functions for working with pointers like nullpointer(), ptrcmp() for comparing pointers, and functions for introspecting the runtime like ringvm_functionslist().
The document defines functions and classes for initializing and managing an interactive frame component. It initializes an instance of the component class, parses configuration data, registers callbacks, and handles events like clicks and visibility changes to trigger configured actions.
FS2 (previously called Scalaz-Stream) is a library that facilitates purely functional API to encode stream processing in a modular and composable manner.
Due to its functional abstraction around "streams" of data, FS2 enables isolating and delaying the side-effects until the streams are fully composed and assembled into its final execution context.
The main objectives of this talk are to get started with FS2, particularly with its functional approach to stream processing, and to dive into details of its semantics.
The Ring programming language version 1.9 book - Part 90 of 210Mahmoud Samir Fayed
This document provides documentation on low-level functions in Ring that give access to the Ring virtual machine and runtime system. It describes functions for garbage collection, pointers, memory allocation, querying lists of functions, classes, packages, and more. It also covers functions for tracing, debugging, and interacting with the Ring VM.
Higher Order Components and Render PropsNitish Phanse
The document discusses higher order components (HOCs) in React. It begins by introducing HOCs as functions that take a component and return a new component. Various examples of HOCs are provided, including for purposes like code splitting, server side rendering, data tracking, and component logging. Key tips are provided, such as avoiding HOCs inside render and that refs are not passed through. The document also discusses how render props can be used as an alternative pattern to HOCs in some cases, and provides examples of common use cases like async data fetching and geolocation. It concludes by explaining that HOCs can also be created using a render prop approach.
The document discusses passing command line arguments to the main function in C programs. It explains that the argc parameter indicates the number of arguments passed, and argv is an array of string pointers to the arguments. It provides an example program that prints the argc and argv values when running "./hello 10". The output shows argc is 2, with the first element of argv being "./hello" and the second being the passed string "10". It notes the executable name is always the first argv element, and that arguments are passed as strings, so must be converted to other types like numbers before use.
This document discusses operator overloading in C++. It defines operator overloading as polymorphism that gives user-defined meaning to operators when used with custom data types. Almost any operator can be overloaded except a few like :: and sizeof. Overloaded operators can be implemented as member functions, non-member functions, or friend functions. There are also rules for operator overloading, such as preserving precedence and arity of operators and requiring certain operators like [] and -> to be member functions. The document provides examples of overloading unary and binary operators as member and friend functions.
The document discusses variable argument functions in C. It explains that variable argument functions allow a function to take a variable number of arguments. It provides examples of common variable argument functions like printf and scanf. It then describes how to create a variadic function using the stdarg.h header file and macros like va_list, va_start, va_arg, and va_end. Finally, it provides examples of functions that find the minimum and average of a variable number of input arguments.
The Ring programming language version 1.5.1 book - Part 20 of 180Mahmoud Samir Fayed
This document summarizes key aspects of lists in the Ring programming language. Lists can be created using square brackets or the ":" operator to define list items. The size of a list can be retrieved using len(). Items can be added or deleted from lists using add() or del(). Individual items can be accessed or set using list indexing. Items can be searched for using find() or binarysearch() for sorted lists.
The Ring programming language version 1.5.2 book - Part 21 of 181Mahmoud Samir Fayed
This document provides information about functions and recursion in the Ring programming language. It discusses defining functions, calling functions, declaring parameters, sending parameters, the main function, variable scope, return values, and recursion. Specifically, it explains that Ring supports recursion through functions calling themselves with different parameters, and provides an example of a recursive factorial function.
Talk given at Mozilla's first View Source Conference in Portland, 2015. Details out the parallels between graphics and game developments compared to traditional web development.
[Codemotion 2015] patrones de diseño con java8Alonso Torres
Presentada en el Codemotion Madrid 2015.
Abstract:
Han pasado más de 20 años desde la publicación del famoso libro "Patrones de diseño" por el grupo conocido como "Gang of Four".
Durante años, estos patrones han mantenido su actualidad por ser lo suficientemente genéricos para todo tipo de software y resolver problemas comunes de diseño de las aplicaciones que desarrollamos a diario.
Pero algo ha cambiado con Java 8.
Con las nuevas características de Java 8, y en especial las lambdas, es necesario revisitar estos famosos patrones para adaptarlos a sus nuevas funcionalidades.
En esta charla repasaremos algunos de los famosos patrones viendo como adaptarlos a las nuevas características de Java. Además, podremos ver como mejorar nuestro tradicional diseño orientado a objetos gracias a las lambdas y a la programación funcional.
This document summarizes new syntactic features introduced in recent versions of C#, including C# 6.0, 7.0, and 7.1. It provides examples of properties with auto-properties and initializers, lambda expressions used in properties and methods, inline variables, null expressions with null-coalescing and null-conditional operators, throw expressions, local functions, value tuples, and pattern matching. It also briefly mentions features planned for future versions like C# 7.2, 8, and beyond such as read-only references, nullable reference types, and default interface methods.
Swift is proposed as a next-generation platform for TensorFlow that could provide benefits over Python like improved performance, type safety, and enabling automatic differentiation at compile time. However, Python currently dominates the machine learning ecosystem. Swift and Python are intended to have a complementary relationship, with each suited to different use cases. Examples show comparable MNIST implementations in both Swift and Python for TensorFlow.
The document discusses functional programming concepts in Scala including creating immutable objects to represent rational numbers, using pattern matching to add rationals, and defining classes with private fields and auxiliary constructors while avoiding side effects through immutable and functional design. It provides examples of functional programming techniques like creating rational number objects that are immutable and can be freely passed around without risk of mutation, and defining methods as functions that take arguments instead of mutating object state.
Rcpp provides seamless integration between R and C++. It includes an API that encapsulates R objects in C++ classes and allows for conversion between R and C++ types. Rcpp sugar extends this by providing R-like syntax in C++, such as ifelse statements, to make C++ code more readable and consistent with R code. This allows leveraging of C++ capabilities while retaining an R-like syntax.
- Rcpp is a package that facilitates interoperability between R and C++ by providing data structures and functions that make it easy to write C++ code that integrates with R. It has been released 54 times since 2008 with over 170 CRAN packages depending on it.
- Rcpp allows users to source C++ code from R using sourceCpp() and export C++ functions to R using attributes like // [[Rcpp::export]]. This improves performance over pure R code by leveraging fast C++ implementations.
- dplyr is a popular R package for data manipulation that achieves great performance through its use of Rcpp. Functions like arrange(), filter(), and summarise() are much faster when
The document provides an overview of functional programming in Java. It discusses functional programming concepts like higher-order functions and avoiding side effects. It gives examples of functional-style code in Java for filtering lists and transforming objects. It also discusses how functional programming can be used to implement customizable business logic by passing functions as parameters and looking up functions through a dependency injection container.
Creating Custom Charts With Ruby Vector GraphicsDavid Keener
RVG is a drawing API modeled after the Scalable Vector Graphics (SVG) standard. RVG is bundled with RMagick, which is a Ruby interface to the ImageMagick library. Learn how to use RVG to create custom charts that can be integrated directly into web sites. The presentation provides a general introduction to RVG, then illustrates the use of RVG in a web application that displays nearby stars in a generated perspective diagram.
Rcpp provides seamless integration between R and C++. It includes the Rcpp API for wrapping R objects in C++ and converting between R and C++ types, Rcpp sugar for adding R-like syntax to C++, and Rcpp modules for exposing C++ classes and functions to R. The presentation provided examples of using the Rcpp API and sugar to write C++ functions that integrate with R. It also demonstrated how to define C++ modules to expose classes and functions to R. Benchmarks showed that Rcpp sugar can provide significant performance gains over the base R API.
Apache Spark for Library Developers with William Benton and Erik ErlandsonDatabricks
As a developer, data engineer, or data scientist, you’ve seen how Apache Spark is expressive enough to let you solve problems elegantly and efficient enough to let you scale out to handle more data. However, if you’re solving the same problems again and again, you probably want to capture and distribute your solutions so that you can focus on new problems and so other people can reuse and remix them: you want to develop a library that extends Spark.
You faced a learning curve when you first started using Spark, and you’ll face a different learning curve as you start to develop reusable abstractions atop Spark. In this talk, two experienced Spark library developers will give you the background and context you’ll need to turn your code into a library that you can share with the world. We’ll cover: Issues to consider when developing parallel algorithms with Spark, Designing generic, robust functions that operate on data frames and datasets, Extending data frames with user-defined functions (UDFs) and user-defined aggregates (UDAFs), Best practices around caching and broadcasting, and why these are especially important for library developers, Integrating with ML pipelines, Exposing key functionality in both Python and Scala, and How to test, build, and publish your library for the community.
We’ll back up our advice with concrete examples from real packages built atop Spark. You’ll leave this talk informed and inspired to take your Spark proficiency to the next level and develop and publish an awesome library of your own.
Ti1220 Lecture 2: Names, Bindings, and ScopesEelco Visser
The document provides an outline and messages from a lecture on names, bindings, and scopes in programming languages. It discusses key concepts such as:
- Names (identifiers) in programming languages and their forms
- Variables, their attributes like name, address, value, type, lifetime, and scope
- Binding and binding time, including static and dynamic binding
- Scope rules for variables in different languages like block-scoped languages like Java versus function-scoped languages like JavaScript
- Special cases like nested functions, recursion, and hoisting behavior in JavaScript
Ray: A Cluster Computing Engine for Reinforcement Learning Applications with ...Databricks
As machine learning matures, the standard supervised learning setup is no longer sufficient. Instead of making and serving a single prediction as a function of a data point, machine learning applications increasingly must operate in dynamic environments, react to changes in the environment, and take sequences of actions to accomplish a goal. These modern applications are better framed within the context of reinforcement learning (RL), which deals with learning to operate within an environment. RL-based applications have already led to remarkable results, such as Google’s AlphaGo beating the Go world champion, and are finding their way into self-driving cars, UAVs, and surgical robotics.
These applications have very demanding computational requirements–at the high end, they may need to execute millions of tasks per second with millisecond level latencies, and support heterogeneous and dynamic computation graphs. In this talk, we present Ray, a new cluster computing framework that meets these requirements, give some application examples, and discuss how it can be integrated with Apache Spark.
The document discusses how to use RxJS (Reactive Extensions library for JavaScript) to treat events like arrays by leveraging Observable types and operators. It explains key differences between Observables and Promises/Arrays, how Observables are lazy and cancelable unlike Promises. Various RxJS operators like map, filter, interval and fromEvent are demonstrated for transforming and composing Observable streams. The document aims to illustrate how RxJS enables treating events as collections that can be processed asynchronously over time.
Functional objects are immutable objects that do not have mutable state. They allow functions to be passed as arguments and returned from other functions. The document introduces functional objects using the example of a Rational number class in Scala. It demonstrates how to define a Rational class with immutable fields and methods like addition, constructors, and equality checks.
The document discusses extending R with C++ using Rcpp. It introduces Rcpp as a way to seamlessly integrate R and C++. Rcpp avoids the need to use PROTECT and UNPROTECT and allows accessing R objects like vectors using C++ syntax like brackets instead of functions like REAL. The document provides examples of adding two vectors and concatenating strings in C++ using Rcpp that are more concise than traditional R extensions. Rcpp provides advantages over the traditional R API for linking C/C++ code.
This document provides an overview of the Scala programming language. Some key points:
- Scala runs on the Java Virtual Machine and was created by Martin Odersky at EPFL.
- It has been around since 2003 and the current stable release is 2.7.7. Release 2.8 beta 1 is due out soon.
- Scala combines object-oriented and functional programming. It has features like pattern matching, actors, XML literals, and more that differ from Java. Everything in Scala is an object.
User Defined Aggregation in Apache Spark: A Love StoryDatabricks
Defining customized scalable aggregation logic is one of Apache Spark’s most powerful features. User Defined Aggregate Functions (UDAF) are a flexible mechanism for extending both Spark data frames and Structured Streaming with new functionality ranging from specialized summary techniques to building blocks for exploratory data analysis.
User Defined Aggregation in Apache Spark: A Love StoryDatabricks
This document summarizes a user's journey developing a custom aggregation function for Apache Spark using a T-Digest sketch. The user initially implemented it as a User Defined Aggregate Function (UDAF) but ran into performance issues due to excessive serialization/deserialization. They then worked to resolve it by implementing the function as a custom Aggregator using Spark 3.0's new aggregation APIs, which avoided unnecessary serialization and provided a 70x performance improvement. The story highlights the importance of understanding how custom functions interact with Spark's execution model and optimization techniques like avoiding excessive serialization.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
The Rising Future of CPaaS in the Middle East 2024Yara Milbes
Explore "The Rising Future of CPaaS in the Middle East in 2024" with this comprehensive PPT presentation. Discover how Communication Platforms as a Service (CPaaS) is transforming communication across various sectors in the Middle East.
Odoo releases a new update every year. The latest version, Odoo 17, came out in October 2023. It brought many improvements to the user interface and user experience, along with new features in modules like accounting, marketing, manufacturing, websites, and more.
The Odoo 17 update has been a hot topic among startups, mid-sized businesses, large enterprises, and Odoo developers aiming to grow their businesses. Since it is now already the first quarter of 2024, you must have a clear idea of what Odoo 17 entails and what it can offer your business if you are still not aware of it.
This blog covers the features and functionalities. Explore the entire blog and get in touch with expert Odoo ERP consultants to leverage Odoo 17 and its features for your business too.
An Overview of Odoo ERP
Odoo ERP was first released as OpenERP software in February 2005. It is a suite of business applications used for ERP, CRM, eCommerce, websites, and project management. Ten years ago, the Odoo Enterprise edition was launched to help fund the Odoo Community version.
When you compare Odoo Community and Enterprise, the Enterprise edition offers exclusive features like mobile app access, Odoo Studio customisation, Odoo hosting, and unlimited functional support.
Today, Odoo is a well-known name used by companies of all sizes across various industries, including manufacturing, retail, accounting, marketing, healthcare, IT consulting, and R&D.
The latest version, Odoo 17, has been available since October 2023. Key highlights of this update include:
Enhanced user experience with improvements to the command bar, faster backend page loading, and multiple dashboard views.
Instant report generation, credit limit alerts for sales and invoices, separate OCR settings for invoice creation, and an auto-complete feature for forms in the accounting module.
Improved image handling and global attribute changes for mailing lists in email marketing.
A default auto-signature option and a refuse-to-sign option in HR modules.
Options to divide and merge manufacturing orders, track the status of manufacturing orders, and more in the MRP module.
Dark mode in Odoo 17.
Now that the Odoo 17 announcement is official, let’s look at what’s new in Odoo 17!
What is Odoo ERP 17?
Odoo 17 is the latest version of one of the world’s leading open-source enterprise ERPs. This version has come up with significant improvements explained here in this blog. Also, this new version aims to introduce features that enhance time-saving, efficiency, and productivity for users across various organisations.
Odoo 17, released at the Odoo Experience 2023, brought notable improvements to the user interface and added new functionalities with enhancements in performance, accessibility, data analysis, and management, further expanding its reach in the market.
INTRODUCTION TO AI CLASSICAL THEORY TARGETED EXAMPLESanfaltahir1010
Image: Include an image that represents the concept of precision, such as a AI helix or a futuristic healthcare
setting.
Objective: Provide a foundational understanding of precision medicine and its departure from traditional
approaches
Role of theory: Discuss how genomics, the study of an organism's complete set of AI ,
plays a crucial role in precision medicine.
Customizing treatment plans: Highlight how genetic information is used to customize
treatment plans based on an individual's genetic makeup.
Examples: Provide real-world examples of successful application of AI such as genetic
therapies or targeted treatments.
Importance of molecular diagnostics: Explain the role of molecular diagnostics in identifying
molecular and genetic markers associated with diseases.
Biomarker testing: Showcase how biomarker testing aids in creating personalized treatment plans.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Real-world case study: Present a detailed case study showcasing the success of precision
medicine in a specific medical scenario.
Patient's journey: Discuss the patient's journey, treatment plan, and outcomes.
Impact: Emphasize the transformative effect of precision medicine on the individual's
health.
Objective: Ground the presentation in a real-world example, highlighting the practical
application and success of precision medicine.
Data challenges: Address the challenges associated with managing large sets of patient data in precision
medicine.
Technological solutions: Discuss technological innovations and solutions for handling and analyzing vast
datasets.
Visuals: Include graphics representing data management challenges and technological solutions.
Objective: Acknowledge the data-related challenges in precision medicine and highlight innovative solutions.
Data challenges: Address the challenges associated with managing large sets of patient data in precision
medicine.
Technological solutions: Discuss technological innovations and solutions
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdfVALiNTRY360
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
For more info visit us https://valintry360.com/solutions/health-life-sciences
The Key to Digital Success_ A Comprehensive Guide to Continuous Testing Integ...kalichargn70th171
In today's business landscape, digital integration is ubiquitous, demanding swift innovation as a necessity rather than a luxury. In a fiercely competitive market with heightened customer expectations, the timely launch of flawless digital products is crucial for both acquisition and retention—any delay risks ceding market share to competitors.
Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
37. extension AngleProtocol: Hashable, Comparable {
} Stepanov, Alexander; McJones, Paul (2009). Elements of Programming. Addison-Wesley. ISBN 978-0-321-63537-2.
38. extension AngleProtocol: Hashable, Comparable {
}
static func ==(lhs: Self, rhs: Self) -> Bool {
return lhs.radians == rhs.radians
}
Stepanov, Alexander; McJones, Paul (2009). Elements of Programming. Addison-Wesley. ISBN 978-0-321-63537-2.
39. extension AngleProtocol: Hashable, Comparable {
}
static func ==(lhs: Self, rhs: Self) -> Bool {
return lhs.radians == rhs.radians
}
var hashValue: Int {
return radians.hashValue
}
Stepanov, Alexander; McJones, Paul (2009). Elements of Programming. Addison-Wesley. ISBN 978-0-321-63537-2.
40. extension AngleProtocol: Hashable, Comparable {
}
static func ==(lhs: Self, rhs: Self) -> Bool {
return lhs.radians == rhs.radians
}
var hashValue: Int {
return radians.hashValue
}
static func <(lhs: Self, rhs: Self) -> Bool {
return lhs.radians < rhs.radians
}
Stepanov, Alexander; McJones, Paul (2009). Elements of Programming. Addison-Wesley. ISBN 978-0-321-63537-2.
122. final class TypedTransforms<Base> {
let base: Base
init(_ base: Base) {
self.base = base
}
}
protocol TypedTransformAdditions {
associatedtype Typed
var typed: Typed { get }
}
123. final class TypedTransforms<Base> {
let base: Base
init(_ base: Base) {
self.base = base
}
}
protocol TypedTransformAdditions {
associatedtype Typed
var typed: Typed { get }
}
extension TypedTransformAdditions {
var typed: TypedTransforms<Self> {
return TypedTransforms(self)
}
}
128. let shotDirectionCamera =
float4_t<CameraSpace>(float4(0, 0, -3, 1))
let shotDirectionWorld = worldFromCamera *
shotDirectionCamera
let direction =
SCNVector3(float4: shotDirectionWorld.point)
let worldFromCamera =
frame.camera.typed.worldFromCamera