Implementing virtual machines in go & c 2018 reduxEleanor McHugh
An updated version of my talk on virtual machine cores comparing techniques in C and Go for implementing dispatch loops, stacks & hash maps.
Lots of tested and debugged code is provided as well as references to some useful/interesting books.
Implementing virtual machines in go & c 2018 reduxEleanor McHugh
An updated version of my talk on virtual machine cores comparing techniques in C and Go for implementing dispatch loops, stacks & hash maps.
Lots of tested and debugged code is provided as well as references to some useful/interesting books.
An introduction to functional programming with goEleanor McHugh
A crash course in functional programming concepts using Go. Heavy on code, light on theory.
You can find the examples at https://github.com/feyeleanor/intro_to_fp_in_go
Crafting Custom Interfaces with Sub::ExporterRicardo Signes
Everybody knows about Exporter.pm: you use it, and if someone uses your module, they don't have to type quite as much. We'll look at how the Exporter works, and how it fails to take advantage of the powerful concepts on which it's built. We'll see how you can provide flexible import routines that allow your module's user to type even less and get code that behaves much more like part of his own program. You can avoid repeating unnecessary parameters to every overly-generic routine and can avoid collision-prone global configuration. All of this is made possible -- and easy -- by Sub::Exporter.
Generators -- routines that build routines -- can produce customized code, built to each importer's specifications. Sub::Exporter lets you build and provide customized routines easily. You'll learn how to write generators, and how to use them with Sub::Exporter . In its simplest form, it's as easy to use as Exporter.pm. With just a bit more configuration, it can build, group, rename, and julienne routines easily. With this tool, you'll be able to provide interfaces that are both simpler and more powerful than those provided by the stock Exporter.
A few techniques for everyday Ruby hacking
Touching on the following topics:
DRY Assignment
Ternary operator
Bang bang
Conditional assignment
Parallel assignment
Multiple return
Implied begin
Exception lists
Symbol to Proc
MapReduce
Regex captures
tap
sprintf
case equality
Splat Array
Splat args
blank?
present?
presence
truncate
try
in?
Delegation
delegate
Memoization
memoize
alias_method_chain
class_attribute
HashWithIndifferentAccess
This talk will explore inference from the perspective of protocols and generics and is based off a series of blog posts I've written(foxinswift.com) on the topic. In the first part of my talk casting number types through inference. I'll then show you struct serialization example demonstrating inferring a type through a mapping function. My last example will take you through inferring an associatedtype on a barebones promise implementation and we'll use it to in the context of making a network request. To finish things off I'll briefly speak on what's new in swift generics and some limitations of those features.
Functional Pe(a)rls - the Purely Functional Datastructures editionosfameron
All new material, this time about one of the fundamental functional datastructures, the Linked List, and the overview of an implementation in Moosey Perl.
This covers some of the same material as https://github.com/osfameron/pure-fp-book but perhaps with more explanation (and covering much less material - it was only a 20 minute talk)
May 2006 presentation to the Dallas/Ft. Worth Perl Mongers on Perl's tie() functionality and how to use it to create fancy behavior for familiar data types
With my simple implementation I wanted to demonstrate the basic ideas of th IO Monad.
My impl of the IO Monad is just a feasibility study, not production code!
When coding my impl of IO I was very much inspired by cats.effect.IO and monix.eval.Task which I studied at that time. Both are implementions of the IO Monad.
The API of my IO is very similar to the basics of Monix Task. This IO implementation also helped me to understand the IO Monad (of cats-effect) and Monix Task.
Interop with Future is also supported. You can convert IO to a Future. Vice versa you can convert a Future to an IO.
The development of my impl can be followed step by step in the code files in package iomonad.
scala.concurrent.Future is familiar to nearly all Scala devs.
This presentation first talks about referential transparency and the IO Monad in general. (Monix Task is an impl of the IO Monad.)
Then it compares Future Monix 3.x Task with their Pros and Cons.
Interop with Future: As Scala's Future is used in many environments and libraries, we look at the conversion from Task to Future and - vice versa - from Future to Task.
I will also take a look at Task evaluation, cancelation and memoization as well as tail recursive loops and asynchronous boundaries.
The presentation will include a comparative discussion on ExecutionContext (required for Future) and Scheduler (required for Task, but only to run it).
Often recurring on the valuable Monix Task doumentation at https://monix.io/docs/3x/eval/task.html the presentation can also be seen as an introduction to Monix Task.
An introduction to functional programming with goEleanor McHugh
A crash course in functional programming concepts using Go. Heavy on code, light on theory.
You can find the examples at https://github.com/feyeleanor/intro_to_fp_in_go
Crafting Custom Interfaces with Sub::ExporterRicardo Signes
Everybody knows about Exporter.pm: you use it, and if someone uses your module, they don't have to type quite as much. We'll look at how the Exporter works, and how it fails to take advantage of the powerful concepts on which it's built. We'll see how you can provide flexible import routines that allow your module's user to type even less and get code that behaves much more like part of his own program. You can avoid repeating unnecessary parameters to every overly-generic routine and can avoid collision-prone global configuration. All of this is made possible -- and easy -- by Sub::Exporter.
Generators -- routines that build routines -- can produce customized code, built to each importer's specifications. Sub::Exporter lets you build and provide customized routines easily. You'll learn how to write generators, and how to use them with Sub::Exporter . In its simplest form, it's as easy to use as Exporter.pm. With just a bit more configuration, it can build, group, rename, and julienne routines easily. With this tool, you'll be able to provide interfaces that are both simpler and more powerful than those provided by the stock Exporter.
A few techniques for everyday Ruby hacking
Touching on the following topics:
DRY Assignment
Ternary operator
Bang bang
Conditional assignment
Parallel assignment
Multiple return
Implied begin
Exception lists
Symbol to Proc
MapReduce
Regex captures
tap
sprintf
case equality
Splat Array
Splat args
blank?
present?
presence
truncate
try
in?
Delegation
delegate
Memoization
memoize
alias_method_chain
class_attribute
HashWithIndifferentAccess
This talk will explore inference from the perspective of protocols and generics and is based off a series of blog posts I've written(foxinswift.com) on the topic. In the first part of my talk casting number types through inference. I'll then show you struct serialization example demonstrating inferring a type through a mapping function. My last example will take you through inferring an associatedtype on a barebones promise implementation and we'll use it to in the context of making a network request. To finish things off I'll briefly speak on what's new in swift generics and some limitations of those features.
Functional Pe(a)rls - the Purely Functional Datastructures editionosfameron
All new material, this time about one of the fundamental functional datastructures, the Linked List, and the overview of an implementation in Moosey Perl.
This covers some of the same material as https://github.com/osfameron/pure-fp-book but perhaps with more explanation (and covering much less material - it was only a 20 minute talk)
May 2006 presentation to the Dallas/Ft. Worth Perl Mongers on Perl's tie() functionality and how to use it to create fancy behavior for familiar data types
With my simple implementation I wanted to demonstrate the basic ideas of th IO Monad.
My impl of the IO Monad is just a feasibility study, not production code!
When coding my impl of IO I was very much inspired by cats.effect.IO and monix.eval.Task which I studied at that time. Both are implementions of the IO Monad.
The API of my IO is very similar to the basics of Monix Task. This IO implementation also helped me to understand the IO Monad (of cats-effect) and Monix Task.
Interop with Future is also supported. You can convert IO to a Future. Vice versa you can convert a Future to an IO.
The development of my impl can be followed step by step in the code files in package iomonad.
scala.concurrent.Future is familiar to nearly all Scala devs.
This presentation first talks about referential transparency and the IO Monad in general. (Monix Task is an impl of the IO Monad.)
Then it compares Future Monix 3.x Task with their Pros and Cons.
Interop with Future: As Scala's Future is used in many environments and libraries, we look at the conversion from Task to Future and - vice versa - from Future to Task.
I will also take a look at Task evaluation, cancelation and memoization as well as tail recursive loops and asynchronous boundaries.
The presentation will include a comparative discussion on ExecutionContext (required for Future) and Scheduler (required for Task, but only to run it).
Often recurring on the valuable Monix Task doumentation at https://monix.io/docs/3x/eval/task.html the presentation can also be seen as an introduction to Monix Task.
Functional Programming for OO Programmers (part 2)Calvin Cheng
Code examples demonstrating Functional Programming concepts, with JavaScript and Haskell.
Part 1 can be found here - http://www.slideshare.net/calvinchengx/functional-programming-part01
Source code can be found here - http://github.com/calvinchengx/learnhaskell
Let me know if you spot any errors! Thank you! :-)
Kotlin For Android - Functions (part 3 of 7)Gesh Markov
This presentation is part of a workshop series.
In this section you will learn about operators, inlining, a little bit about generics, named parameters, lambdas and closures, obtaining references to functions and passing them to other functions, and higher-order functions.
License:
This presentation is licensed under the Creative Commons, No Derivatives, Version 3.0 US: https://creativecommons.org/licenses/by-nd/3.0/us/legalcode
Découverte d'algèbre, d'interpréteur par la création d'un DSL pour la base de données Aerospike. Le tout est implémenté dans le langage Scala avec un style fonctionnel.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?XfilesPro
Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
5. Not-Support Operators
let hello = "Hello"
let world = "World"
let greeting = hello + world
let noL = greeting - "l"
let world5 = world * 5
greeting[-1] == "d"
hello[1 ... 4] == "ello"
Binary operator '-' cannot be applied to two 'String' operands
Binary operator '*' cannot be applied to operands of type 'String' and 'Int'
'subscript(_:)' is unavailable: cannot subscript String with an Int, see the…
'subscript(_:)' is unavailable: cannot subscript String with an integer range, see …
7. Operators Overload
let hello = "Hello"
let world = "World"
let greeting = hello + world
let noL = greeting - "l" // HeoWord
let world5 = world * 5 // WorldWorldWorldWorldWorld
let text = greeting - "," - " " + "!" * 2 // HelloWorld!!
func - (_ origin: String, _ removal: String) -> String {
return origin.replacingOccurrences(of: removal, with: "")
}
func * (_ origin: String, _ times: Int) -> String {
return Array(1 ... times).map { _ in origin }.reduce("", +)
}
8. Extensions
let hello = "Hello"
let world = "World"
let greeting = hello + world
greeting[3] // "l"
greeting[-1] // "d"
extension String {
subscript(i: Int) -> Character {
var offset = i
while offset < 0 { offset += count }
let index = self.index(startIndex, offsetBy: offset)
return self[index]
}
}
9. Extensions
let hello = "Hello"
let world = "World"
let greeting = hello + world
hello[1 ... 4] // "ello"
hello[1 ..< 4] // "ell"
extension String {
subscript(_ range: CountableClosedRange<Int>) -> Substring {
let startIndex = index(self.startIndex, offsetBy: range.lowerBound)
let endIndex = index(self.startIndex, offsetBy: range.upperBound)
return self[startIndex ... endIndex]
}
subscript(_ r: CountableRange<Int>) -> Substring {
let startIndex = index(self.startIndex, offsetBy: r.lowerBound)
let endIndex = index(self.startIndex, offsetBy: r.upperBound)
return self[startIndex ..< endIndex]
}
}
12. Precedence Groups
Group Name Associativity Example Priority
BitwiseShiftPrecedence none << >>
Higher
Lower
MultiplicationPrecedence left * /
AdditionPrecedence left + -
RangeFormationPrecedence none … ..<
CastingPrecedence none as
NilCoalescingPrecedence right ??
ComparisonPrecedence none < <= > >= ==
LogicalConjunctionPrecedence left &&
LogicalDisjunctionPrecedence left ||
TernaryPrecedence right ? :
AssignmentPrecedence right += = *= -= /=
https://developer.apple.com/documentation/swift/swift_standard_library/operator_declarations
19. Q.
다음 중 custom operator 로 사용할 수 있는 것은?
① infix operator ~>: AdditionPrecedence
② infix operator ->: AdditionPrecedence
③ infix operator as: AdditionPrecedence
④ infix operator $$: AdditionPrecedence
29. Summary
1. Operator Overloading, Extension, Custom Operator
을 활용해서 기능을 추가할 수 있다.
2. Operator는 Precedence 에 의한 연산 우선순위가 적용된다.
3. value 뿐 아니라 function 에도 연산자를 적용할 수 있다.
4. 복잡할 수 있는 연산을 간결하게 표현할 수 있다.
5. 코드의 가독성을 높일 수 있다.
( ⚠ 과하면 오히려 가독성을 해칠 수 있다 )