1. Power Apps is a low-code app development tool from Microsoft that allows users to easily create apps for mobile, tablets and PCs by combining pre-built components without extensive coding.
2. C# is a programming language developed by Microsoft that can be used to create more complex apps and solutions as it involves writing code.
3. The presenter created a simple app called "Chomanize" using Power Apps and a C# web API to demonstrate how these two tools can be connected, with Power Apps providing a simple and fast interface and C# enabling more complex functionality through programming.
All You Need To Know About C Program Assignment Help.pdfBrad Smith
Suppose you need academic assistance in C Programming. In that case, you have little option but to look up specialists who can resolve your Programming-related assignment concerns with support from experts on a reliable service window to settle all of your queries with mentors for C Program assignment help.
All You Need To Know About C Program Assignment Help.pdfBrad Smith
Suppose you need academic assistance in C Programming. In that case, you have little option but to look up specialists who can resolve your Programming-related assignment concerns with support from experts on a reliable service window to settle all of your queries with mentors for C Program assignment help.
This is a presentation about setting up a simple Slack bot using the slash command from the Slack API. It was made at Andela Uganda's first Developer Conference.
Presented Thursday - June 21st, 2018
I presented a 45-minute version of my "TypeScript 101" talk that serves as a short introduction to TypeScript and the benefits it provides to large-scale projects.
Ready, steady, cross platform games - ProgNet 2015Phillip Trelford
"In this session we'll explore modern cross platform game development, focusing on simple game design concepts for maximizing fun and classic games programming techniques for maximizing frame rates. We'll use Xamarin Studio to target iOS and Android off the same code base and the power of F# to allows us to put together a game in less than 4 hours."
Gave this presentation at the Austin IOT Sub Group. It was bout 2 hours long and was well received. http://www.meetup.com/AustinIoT/events/218899534/
It's about the Spark Core IOT device. It's basically a souped up Ardunio with WiFi, an online IDE, and a web API for $20
Bringing TensorFlow to Android - a War StoryYoni Tsafir
Originally given at Droidcon TLV 2017.
Tells the story of how we managed to improve the pipeline for on-device Machine Learning in our successful Android app "Simply Piano" by using TensorFlow, and describes some of the pitfalls in doing so.
GDSC USICT organized an “INFO SESSION”. In this event the leads of all the teams introduced themselves to all the students and informed them about the benefits of joining GDSC. Leads gave students a broad idea about the technologies they would be working on and how it would help the students to solve real-life problems of society and to grow themselves.
Programming the Real World: Javascript for Makerspchristensen
Hardware is becoming easier to design and manufacture, approaching the ease of software. This presentation:
- takes you on a tour of the changes in hardware
- a crash course in building circuits
- teaches the basics of using and programming Arduino
- introduces Javascript libraries for controlling hardware and robots
- how to get involved with hardware projects
If you'd like me to present this or similar content at your event, please contact me: peter at pchristensen dot com
Accelerating Big Data beyond the JVM - Fosdem 2018Holden Karau
Many popular big data technologies (such as Apache Spark, BEAM, Flink, and Kafka) are built in the JVM, and many interesting tools are built in other languages (ranging from Python to CUDA). For simple operations the cost of copying the data can quickly dominate, and in complex cases can limit our ability to take advantage of specialty hardware. This talk explores how improved formats are being integrated to reduce these hurdles to co-operation.
Many popular big data technologies (such as Apache Spark, BEAM, and Flink) are built in the JVM, and many interesting AI tools are built in other languages, and some requiring copying to the GPU. As many folks have experienced, while we may wish that we spend all of our time playing with cool algorithms -- we often need to spend more of our time working on data prep. Having to copy our data slowly between the JVM and the target language of computation can remove much of the benefit of being able to access our specialized tooling. Thankfully, as illustrated in the soon to be released Spark 2.3, Apache Arrow and related tools offer the ability to reduce this overhead. This talk will explore how Arrow is being integrated into Spark, and how it can be integrated into other systems, but also limitations and places where Apache Arrow will not magically save us.
Link: https://fosdem.org/2018/schedule/event/big_data_outside_jvm/
Learn techniques and where to get infos to use Delphi and FireMonkey for game coding. It's easy : all is included in the free Community Edition for individuals and of course in paid editions for professionals.
The replay of this webinar is available at https://serialstreameur.fr/delphicon-2021-fmx-game-engine.php
This webinar is also available in french at https://serialstreameur.fr/webinaire-20211211.php
Introducing Kubeflow (w. Special Guests Tensorflow and Apache Spark)DataWorks Summit
Data Science, Machine Learning, and Artificial Intelligence has exploded in popularity in the last five years, but the nagging question remains, “How to put models into production?” Engineers are typically tasked to build one-off systems to serve predictions which must be maintained amid a quickly evolving back-end serving space which has evolved from single-machine, to custom clusters, to “serverless”, to Docker, to Kubernetes. In this talk, we present KubeFlow- an open source project which makes it easy for users to move models from laptop to ML Rig to training cluster to deployment. In this talk we will discuss, “What is KubeFlow?”, “why scalability is so critical for training and model deployment?”, and other topics.
Users can deploy models written in Python’s skearn, R, Tensorflow, Spark, and many more. The magic of Kubernetes allows data scientists to write models on their laptop, deploy to an ML-Rig, and then devOps can move that model into production with all of the bells and whistles such as monitoring, A/B tests, multi-arm bandits, and security.
Simplifying training deep and serving learning models with big data in python...Holden Karau
More Serious Business Kitty Description:
While some deep learning systems have promised to not require any kind of data preparation or cleaning, in practice many folks find that effectively training their models requires some amount of data preparation and often we spend more time on our data preparation than anything else. This talk will examine tools for data preparation that can be used at scale on "big-data" and then how to use their results on-line at serving time (where we hopefully no longer require a cluster to predict every new user).
Less Serious Business Kitty Description:
Deep Learning, in addition to being a world class tool for detecting the presence of cats, requires large amounts of data for training. As much vendors may say "no data prep required", they are all lying*. This talk will look tools to build a deep learning pipeline with feature prep on top of existing big data technologies without rewriting your code for serving.
Traditionally feature prep done in a big data system, like Spark, Flink, or Beam, would have to be rewritting for the on-line serving component. This is about as much fun as when we have to rewrite our sample Python code into Java, as for some reason that's what a lot companies associate with "production." Come for the deep learning buzz-words, stay for the how to perform on-line serving without writing Java code.
*All vendors are optimists when it comes to their own products, including the vendors who pay Holden and Gris but they pay us so its ok.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
13. C#
Microsoft 製の OSS で開発されている言語
割と何でも作れる
WEB CLOUD MOBILE GAMING IoT AI
DESKTOP
WPF
Windows Forms
UWP
ASP.NET Xamarin
MAUI
Unity
Azure ARM32
ARM64
ML.NET
.NET for
Apache Spark
VISUAL STUDIO CODE
CLI
VISUAL STUDIO
VISUAL STUDIO FOR MAC
16. やったこと
• Power Apps で画面を作成
• C# で Web API を作成
• クラウドにデプロイ(インターネット上に公開)
• Power Apps と Web API を繋いで実行
Power Apps
Web API
カスタム
コネクター
簡単・早い
難しいことは苦手
難しい
割と何でもできる
17. まとめ
Power Apps
• マイクロソフトのローコード ツール
• 簡単にアプリを作れる
• 難しいことは苦手
C#
• マイクロソフトの開発するプログラミング言語
• コードが書けるのでなんでも出来る
• Power Apps と比べると簡単なものを作るのは大変