Final tagless. The topic strikes fear into the hearts of Scala developers everywhere—and not without reason. Final tagless allows developers to build composable Domain Specific Languages (DSLs) that model interaction with the outside world. Programs written using the final tagless style can be tested deterministically and reasoned about at compile-time. Yet the technique requires confusing, compiler-choking higher-kinded types, like `F[_]`, and pervasive, non-inferable context bounds like `F[_]: Concurrent: Console: Logging`. Many have looked at final tagless and wondered if all the layers of complexity and ceremony are really worth the benefits.
In this presentation, John A. De Goes provides a gentle and accessible introduction to final tagless, explaining what it is and the problem it intends to solve. John shows that while final tagless is easier to use than free monads, the technique suffers from a litany of drawbacks that push developers away from functional programming in Scala. John then introduces a novel approach that shares some of the benefits of final tagless, but which is idiomatic Scala, easy to explain, doesn’t need any complex type machinery, provides flawless type inference, and works beautifully across Scala 2.x and Scala 3.
Come join John for an evening of fun as you learn how to write functional code in Scala that's easy to test and easy to reason about—all without the complexity of free monads or final tagless.
배민찬(https://www.baeminchan.com) 서비스의 백엔드 시스템 중 일부가 지난 1년간 어떤 고민과 아이디어, 결과물을 만들어냈는지 공유하려고 합니다. 발표 중 언급되는 용어나 도구에 대해 일반적인 정의나 간단한 설명은 언급되나 자세히 다루지 않습니다. 사용된 도구들로 어떻게 이벤트 기반 분산 시스템을 만들었는지에 대한 이야기가 중심입니다.
Go 1.10 Release Party, featuring what's new in Go 1.10 and a few deep dives into how Go works.
Presented at the PDX Go Meetup on April 24th, 2018.
https://www.meetup.com/PDX-Go/events/248938586/
Final tagless. The topic strikes fear into the hearts of Scala developers everywhere—and not without reason. Final tagless allows developers to build composable Domain Specific Languages (DSLs) that model interaction with the outside world. Programs written using the final tagless style can be tested deterministically and reasoned about at compile-time. Yet the technique requires confusing, compiler-choking higher-kinded types, like `F[_]`, and pervasive, non-inferable context bounds like `F[_]: Concurrent: Console: Logging`. Many have looked at final tagless and wondered if all the layers of complexity and ceremony are really worth the benefits.
In this presentation, John A. De Goes provides a gentle and accessible introduction to final tagless, explaining what it is and the problem it intends to solve. John shows that while final tagless is easier to use than free monads, the technique suffers from a litany of drawbacks that push developers away from functional programming in Scala. John then introduces a novel approach that shares some of the benefits of final tagless, but which is idiomatic Scala, easy to explain, doesn’t need any complex type machinery, provides flawless type inference, and works beautifully across Scala 2.x and Scala 3.
Come join John for an evening of fun as you learn how to write functional code in Scala that's easy to test and easy to reason about—all without the complexity of free monads or final tagless.
배민찬(https://www.baeminchan.com) 서비스의 백엔드 시스템 중 일부가 지난 1년간 어떤 고민과 아이디어, 결과물을 만들어냈는지 공유하려고 합니다. 발표 중 언급되는 용어나 도구에 대해 일반적인 정의나 간단한 설명은 언급되나 자세히 다루지 않습니다. 사용된 도구들로 어떻게 이벤트 기반 분산 시스템을 만들었는지에 대한 이야기가 중심입니다.
Go 1.10 Release Party, featuring what's new in Go 1.10 and a few deep dives into how Go works.
Presented at the PDX Go Meetup on April 24th, 2018.
https://www.meetup.com/PDX-Go/events/248938586/
Presentation given at the Toulouse JUG in Dec 2019
GraalVM and its native-image component allow building native standalone executables from Java or any other language compiling to Java bytecode like Scala or Kotlin.
This talks goes through the practical steps leading to producing a native executable for a command-line tool, explaining the benefits and also the limits of GraalVM native-image.
C++ CoreHard Autumn 2018. Concurrency and Parallelism in C++17 and C++20/23 -...corehard_by
What do threads, atomic variables, mutexes, and conditional variables have in common? They are the basic building blocks of any concurrent application in C++, which are even for the experienced C++ programmers a big challenge. This massively changed with C++17 and change even more with C++20/23. What did we get with C++17, what can we hope for with C++20/23? With C++17, most of the standard template library algorithms are available in sequential, parallel, and vectorised variants. With the upcoming standards, we can look forward to executors, transactional memory, significantly improved futures and coroutines. To make it short. These are just the highlights from the concurrent and parallel perspective. Thus there is the hope that in the future C++ abstractions such as executors, transactional memory, futures and coroutines are used and that threads, atomic variables, mutexes and condition variables are just implementation details.
Most developers start adopting Docker by integrating it with their development environment. Unfortunately development environments are nuanced. Using Docker to automate and isolate development environments is rewarding, but you'll need to keep a few things in mind when designing that integration.
I am Bernard. I am a C Programming Assignment Help Expert at programminghomeworkhelp.com. I hold a Ph.D. in Computer Science from, University of Leeds, UK. I have been helping students with their homework for the past 12 years. I solve assignments related to C Programming.
Visit programminghomeworkhelp.com or email support@programminghomeworkhelp.com.You can also call on +1 678 648 4277 for any assistance with C Programming assignments.
2018 Jul 25th LINE Developer Meetup #41 in Fukuoka
Session Slide in English / セッションスライドです。
Graal in GraalVM - A New JIT Compiler
オラクル社からGraalVMというものが発表され、話題を呼んでいます。GraalVMはHotSpot VM上に新しいJITコンパイラGraalと言語実装用フレームワーク/ASTインタプリタであるTruffle、さらにネイティブイメージ作成機能とその実行に使われるSubstrateVMを併せ持ったものです。すでにTruffleを使用したJavaScriptやRuby、R、Pythonの実装も提供されており、これらの言語とJavaはコードから相互に呼び出しができます。このセッションではGraalVMを概観したあと、JITコンパイラGraalにとくに注力して解説します。GraalとTruffleはOracle Labsとヨハネス・ケプラー大学で共同研究されており、多くの論文が発表されています。HotSpotのJITコンパイラとパフォーマンスや構造などを比較しつつ、GraalのJITコンパイルのテクニックについてもいくつか触れます。とにかく、私がGraalをとても好きなのです。デモも実施しつつ、Graalのすごさを伝えられればと考えています。
Similar to [Golang] 以 Mobile App 工程師視角,帶你進入 Golang 的世界 (Introduction of GoLang) (20)
與 Sign in with Apple 的愛恨情仇 @ iPlayground2020Johnny Sung
注重用戶隱私的 Apple 在開發者大會 WWDC 2019 發表了 Sign in with Apple 的功能,iOS 13 後皆支援。今年(2020 年) 4 月之後強制要求所有新上架的 App(包含更新)皆要支援這個服務。
Sign in with Apple 怎麼接?跟其他第三方服務有什麼不同?
App 端、網站前端、後端要如何因應?會有什麼樣的雷?
讓我來跟你娓娓到來...
#iPlayground2020
Speaker: Young Fang, Johnny Sung
---
How visually impaired people use their phone?
How mobile developer fix their problems they encountered?
Here is the small tips for that.
Everything About Bluetooth (淺談藍牙 4.0) - Peripheral 篇Johnny Sung
2016.01.22 @ Android Taipei
講解 Bluetooth 的 GATT 的概念,並以 Android 實作
Example code:
Peripheral - BLE CPU Temp
https://github.com/j796160836/Ble-CPUTemp-Android
Central - BLE Temperature Receiver
https://github.com/j796160836/BleTemperatureReceiver-Android
Everything About Bluetooth (淺談藍牙 4.0) - Central 篇Johnny Sung
講解 Bluetooth 的 GATT 的概念,並以 Android 實作
Example code:
Peripheral - BLE CPU Temp
https://github.com/j796160836/Ble-CPUTemp-Android
Central - BLE Temperature Receiver
https://github.com/j796160836/BleTemperatureReceiver-Android
uPresenter, new way to control keynote.
Wear on your Glass or Smart Watch, and have a nice presentation.
---
Available on Google Play
https://play.google.com/store/apps/details?id=com.johnnyworks.presenter
Android workshop - 02. Glass development 101Johnny Sung
Glass development 101
All example sources are in Github:
Example 00: Hello, World
https://github.com/j796160836/GlassWorkshop-Exercise00_HelloWorld
Example 01: New Hello, World
https://github.com/j796160836/GlassWorkshop-Exercise01_NewHelloWorld
Example 02: MyVoiceCommand
https://github.com/j796160836/GlassWorkshop-Exercise02_MyVoiceCommand
Example 03: UseCardBuilder
https://github.com/j796160836/GlassWorkshop-Exercise03_CardBuilder
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
18. #include <stdio.h>
#include <stdlib.h>
int main() {
int *arr;
int i;
arr = malloc( 10 * sizeof(int) );
for (i = 0; i < 10; i++) {
arr[i] = i;
}
for (i = 0; i < 10; i++) {
printf("%d ", arr[i]);
}
free(arr);
return 0;
}
package main
import "fmt"
func main() {
var arr [10]int
for i := 0; i < 10; i++ {
arr[i] = i
}
for i := 0; i < 10; i++ {
fmt.Printf("%d ", arr[i])
}
}
Golang C
Array(陣列)
20. for 搭配 range
package main
import "fmt"
func main() {
var arr = []int{46, 15, 73, 16, 66, 35}
for index, value := range arr {
fmt.Printf("%d ", index, value)
}
}
41. func distributedSum(numOfWorkers int, from int, to int) int {
wg := &sync.WaitGroup{}
wg.Add(numOfWorkers)
in := make(chan int, (to-from)-1)
out := make(chan int, numOfWorkers)
res := make(chan int, 1)
for i := 0; i < numOfWorkers; i++ {
go sumWorker(in, out, wg)
}
go compilationWorker(out, res)
for i := 0; i <= to; i++ {
in <- i // 塞資料給各個 sumWorkers
}
close(in) // 關閉資料窗⼝ (通知各個 sumWorkers 停⽌讀值)
wg.Wait() // 等待所有 workers 結束
close(out) // 關閉資料窗⼝ (通知 compilationWorker 停⽌讀值)
return <-res
}
42. func sumWorker(in chan int, out chan int, wg *sync.WaitGroup) {
defer wg.Done()
num := 0
for n := range in { // 讀取通道直到通道被關閉
num += n
time.Sleep(time.Millisecond * 30)
}
fmt.Printf("partial sum: %dn", num)
out <- num
}
func compilationWorker(in chan int, out chan int) {
sum := 0
for i := range in { // 讀取通道直到通道被關閉
sum += i
}
out <- sum
}
43. •完全⾃學!Go 語⾔ (Golang) 實戰聖經
(The Go Workshop: Learn to write clean, efficient code and build high-performance applications with Go)
https://www.tenlong.com.tw/products/9789863126706
•下班加減學點 Golang 與 Docker
https://ithelp.ithome.com.tw/users/20104930/ironman/2647
•被選召的 Gopher 們,從零開始探索 Golang, Istio, K8s 數碼微服務世界
https://ithelp.ithome.com.tw/articles/10240228
•PJCHENder 未整理筆記
https://pjchender.dev/golang/go-getting-started/
參考資料
44. Mobile
API
CRUD
Login / Logout
Token (Session) JWT
/
Clean Architecture
Unit Test
Docker
Kubernetes (k8s)
Load Balancer
Database
Cache
Queue
Swagger
channel
mutex lock
CI / CD
MongoDB
RDBMS
MySQL
PostgreSQL
Memcached
Redis
RabbitMQ
grafana + prometheus
Pod
Service
Ingress
SOLID 5
OOP 3
goroutine
Backup
DRP (Disaster Recovery Plan)
Logs
BCP (Business Continuity Plan)
Git
Logger
45. obile
API
CRUD
Login / Logout
Token (Session) JWT
/
Clean Architecture
Unit Test
Docker
Kubernetes (k8s)
Swagger
channel
mutex lock
Pod
Service
Ingress
SOLID 5
OOP 3
goroutine
46. Mobile
Token (Session) JWT
Docker
Kubernetes (k8s)
Load Balancer
Database
Cache
Queue
Swagger
MongoDB
RDBMS
MySQL
PostgreSQL
Memcached
Redis
RabbitMQ
Pod
Service
Ingress
Logger
47. Mobile
CI / CD
grafana + prometheus
Backup
DRP (Disaster Recovery Plan)
Logs
BCP (Business Continuity Plan)
Git