Type systems are generally formulated as collections of rules for checking the 'consistency' of programs. Type systems check that values are used appropriately according to their declared types throughout a program.
C lecture 3 control statements slideshareGagan Deep
Control Statement in C, Looping in C, Conditional and Unconditional Statements, For Loop, While Loop, Do-While Loop, C Programming, Examples : Visit us at www.rozyph.com
C lecture 3 control statements slideshareGagan Deep
Control Statement in C, Looping in C, Conditional and Unconditional Statements, For Loop, While Loop, Do-While Loop, C Programming, Examples : Visit us at www.rozyph.com
iOS オールスターズ2でお話しした資料です! Swift らしさってなんだろう、そんなところを API デザインガイドラインと Swift 標準ライブラリの表現に着目して 7 つほど紹介してみました。あくまでも "指針" なので『そういう風に考えていくのね』みたいに捉えて、そこからは "自分らしい" 言葉を紡いでいってくれたらいいのかなって思います。
BED-Con 2016 - I have a stream - Einsichten in Reactive ProgrammingJan Carsten Lohmüller
Eine der häufigsten Beschreibungen von Reactive Programming ist, dass Reactive Programming aus der Kombination von Immutable Streams und propagation of change besteht. Bei dem Begriff propagation of change, der Verbreitung von Änderungen, denkt man direkt an das Observer-Pattern, welches in diesem Vortrag klar von Reactive Programming abgegrenzt wird.
Mithilfe von kleinen Beispielen wird das Prinzip von Observables, eine der Grundsteine des Reactive Programming betrachtet. Dabei tauchen alte Bekannte, wie Lambda-Expressions und Map/Reduce auf.
Natürlich existiert bereits ein Manifest, welches beschreibt, was ein Reaktives System ist: Responsiv, Widerstandsfähig, Elastisch und Nachrichtengetrieben.
Nach diesem Überblick stellen wir uns folgende Fragen:
Ist Reactive Programming überhaupt ein neues Paradigma?
Wie testen wir Reaktive Systeme?
Wer hat die Kontrolle über Reaktive Systeme, wenn alles auf ständiger Veränderung basiert?
iOS オールスターズ2でお話しした資料です! Swift らしさってなんだろう、そんなところを API デザインガイドラインと Swift 標準ライブラリの表現に着目して 7 つほど紹介してみました。あくまでも "指針" なので『そういう風に考えていくのね』みたいに捉えて、そこからは "自分らしい" 言葉を紡いでいってくれたらいいのかなって思います。
BED-Con 2016 - I have a stream - Einsichten in Reactive ProgrammingJan Carsten Lohmüller
Eine der häufigsten Beschreibungen von Reactive Programming ist, dass Reactive Programming aus der Kombination von Immutable Streams und propagation of change besteht. Bei dem Begriff propagation of change, der Verbreitung von Änderungen, denkt man direkt an das Observer-Pattern, welches in diesem Vortrag klar von Reactive Programming abgegrenzt wird.
Mithilfe von kleinen Beispielen wird das Prinzip von Observables, eine der Grundsteine des Reactive Programming betrachtet. Dabei tauchen alte Bekannte, wie Lambda-Expressions und Map/Reduce auf.
Natürlich existiert bereits ein Manifest, welches beschreibt, was ein Reaktives System ist: Responsiv, Widerstandsfähig, Elastisch und Nachrichtengetrieben.
Nach diesem Überblick stellen wir uns folgende Fragen:
Ist Reactive Programming überhaupt ein neues Paradigma?
Wie testen wir Reaktive Systeme?
Wer hat die Kontrolle über Reaktive Systeme, wenn alles auf ständiger Veränderung basiert?
Workshop fundamentos de Swift:
- Language Basics
- Playgrounds
- Variables
- Functions
- Optionals
- Control Flow
Presentado por nuestros ingenieros Alberto Irurueta y Pia Muñoz.
Python programming language provides the following types of loops to handle looping requirements:
1. While
2. Do While
3. For loop
Python provides three ways for executing the loops. While all the ways provide similar basic functionality, they differ in their syntax and condition-checking time.
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.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
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.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
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.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
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.
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.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
8. “Type systems are generally formulated as collections of rules
for checking the ‘consistency’ of programs.”
Benjamin C. Pierce
9.
10.
11.
12.
13.
14. is, as?, as! (as )
$ swift
Welcome to Apple Swift version 2.2 (swiftlang-703.0.18.8
clang-703.0.30).
Type :help for assistance.
1> 1 is Any
$R0: Bool = true
2> 1 is AnyObject
$R1: Bool = false
3> import Foundation
4> 1 is Any
$R2: Bool = true
5> 1 is AnyObject
$R3: Bool = true // ???
15. is, as?, as! (as )
$ swift
Welcome to Apple Swift version 2.2 (swiftlang-703.0.18.8
clang-703.0.30).
Type :help for assistance.
1> [1] is [Any]
$R0: Bool = true
2> [1] is [AnyObject]
repl.swift:2:5: error: 'Bool' is not convertible to ‘[AnyObject]’ // ???
[1] is [AnyObject]
~~~~^~~~~~~~~~~~~~
2> import Foundation
3> [1] is [Any]
$R3: Bool = true
4> [1] is [AnyObject]
$R4: Bool = true
24. $ ghci
GHCi, version 7.8.3: http://www.haskell.org/ghc/ :? for help
…
Prelude> let square x = x * x
Prelude> :info square
square :: Num a => a -> a
Prelude> square 10
100
27. $ swift
Welcome to Apple Swift version 2.2 (swiftlang-703.0.18.8
clang-703.0.30).
Type :help for assistance.
1> let x1 = 3
x1: Int = 3 // inferred to be Int
2> let x2 = Double(3)
x2: Double = 3 // inferred to be Double
3> let x3: Double = 3
x3: Double = 3 // explicit type specified
4> let y1 = 3.14159
y1: Double = 3.1415899999999999 // inferred to be Double
5> let y2 = Float(3.14159)
y2: Float = 3.14159012 // inferred to be Float
6> let y3: Float = 3.14159
y3: Float = 3.14159012 // explicit type specified
28. import CoreGraphics
// func CGPointMake(_ x: CGFloat, _ y: CGFloat) -> CGPoint
let x = CGFloat(1.0 / 3) // 1 / 3 = 0(?), 1.0 / 3 = 0.333
let y = CGFloat(1.0 / 3) // 1.0 / 3: Double to CGFloat
let p = CGPointMake(x, y)
// CGFloat Swift
// “1 / 3” “CGFloat / CGFloat -> CGFloat”
// “1” “3” “CGFloat”
let p = CGPointMake(1 / 3, 1 / 3)