Introducing type script

Feb 22, 2016Download as pptx, pdf

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TypeScript is a typed superset of JavaScript that compiles to plain JavaScript. It allows for large scale JavaScript application development with features like classes, inheritance, modules, generators, async/await, and decorators. TypeScript introduces strong typing, interfaces, generics, and other design-time features not available in JavaScript to reduce complexity in large codebases. It supports the future of JavaScript by allowing the use of ES6 and ES7 features today through compiler options. Getting started is easy using the TypeScript playground or boilerplate projects on GitHub.

Introducing TypeScript
Large scale JavaScript application
development made easy
By Remo H. Jansen

What is TypeScript?
TypeScript is a typed superset of JavaScript.
Compiles to plain JavaScript.
Any IDE. Any browser. Any host. Any OS.
Open Source.
Based on open standards (ES6, ES7...).

JavaScript is TypeScript!
“We’re excited to announce that we
have converged the TypeScript and
AtScript languages, and that Angular 2,
the next version of the popular
JavaScript library for building web sites
and web apps, will be developed with
TypeScript”

Why do we need TypeScript? (PART I)
“As a system evolves, its complexity increases
unless steps are taken to reduce it”
JavaScript was not designed to deal with the
level of complexity required to meet today’s
needs.

Most read

Decorators
Note: The code snippets above are part of an open-source project I’m
working on. You can learn more about it at http://inversify.io/
● Metadata Reflection API

Why do we need TypeScript? (PART II)
“Large codebases are more difficult to maintain
when they are written in dynamic languages”

TypeScript goes beyond ES6 & ES7
TypeScript is a strongly typed programming
language
TypeScript introduces some great design-time
features that are not available in ES6 or ES7.

Namespaces
● AKA Internal modules
● It is recommended to
use ES6 modules
instead

Types
● Design-time only
● Type inference
● Optional type
annotations
● Type guards
● Union types
● Intersection types

Interfaces
● Design-time only
● Structural type system
● Type definitions (.d.ts files)

Generics
● Design-time only
● Generic constraints can be
declared

Getting started with TypeScript!
http://www.typesc
riptlang.org/Playgr
ound
https://github.com
/remojansen/ts-
vscode-boilerplate

Thanks!
● Join the Dublin TypeScript Meetup to learn more!
● Get 20% off my book “Learning TypeScript” (eBook)
using promo code PACKT20 at www.packtpub.com

Complex !== Complicated
Complicated implies being difficult to understand but with time and
effort, ultimately knowable.
Complex describes the interactions between a number of entities. If
the number of entities and interactions between them increase
we will get to a point where it would be impossible to know and
understand all of them.

TypeScript is the future of JavaScript
TypeScript allows us to use ES6 and ES7 today!
We can use the --target compiler option to
specify ECMAScript target version: ES3, ES5 or
ES6.

Modules
We can use the --module
compiler option to specify
module code generation:
CommonJS
AMD
System
UMD

Generators “Synchronous Looking
Asynchronous Code”

Not so long ago Microsoft announced a new language trageting on front-end developers. Everybody's reaction was like: Why?!! Is it just Microsoft darting back to Google?! So, why a new language? JavaScript has its bad parts. Mostly you can avoid them or workaraund. You can emulate class-based OOP style, modules, scoping and even run-time typing. But that is doomed to be clumsy. That's not in the language design. Google has pointed out these flaws, provided a new language and failed. Will the story of TypeScript be any different?

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Slide 1 TypeScript * This presentation is to show TypeScript's major feature and the benefit that it brings to your JavaScript projects. * Our main objective is just to spark interest especially to those not familiar with the tool. Slide 2 - What is TypeScript * go to next slide Slide 3 - Is a superset of JavaScript * it simply means an extension to JavaScript - Use JavaScript code on TypeScript * JS code naturally works on TypeScript * Which also means your beloved JavaScript libraries such as JQuery, or your fancy interacive plugins would work as well. - TypeScript compiles to plain old JavaScript * TS code compiles to simple and clean JS. Slide 4 - Screenshot of TS compiled to JS * In this example, compiling a TS class code would result to a JS version, and a regular JavaScript function when compiled is basically untouched. Slide 5 - TypeScript's Main Feature * So what does TS provide us with? What does it actually do? Slide 6 - Static Type Checking * TypeScript allows us to enable type checking by defining data types to your for ex. variables, function parameters and return types. Slide 7 - Screenshot of basic Static Type Checking * In this example… * What I've done here was to assign supposedly wrong values for what the variables or parameters were meant to hold * As JavaScript is a dynamic and untyped language these expressions would either fail or be okay when you run it on your browser. * In TypeScript by enabling static type checking these potential errors are caught earlier (see the red marks on the expressions) and wouldn't even allow you to compile unless these are resolved. * In addition you can also type arrays and object literals Slide 8 - Effects of Static Type Checking * As TS code is statically type-checked a side effect of such... - Allows IDEs to perform live error checks - Exposes auto-completion and code hinting Slide 9 - Screenshot of code hinting * Say I was coding JQuery on regular JavaScript code there would be no natural way to help me identify its class properties, methods and parameters... except through reading the API documentation or a separate plugin. * As a result of static type checking this allows IDE's to access these class members as code hints * So if this was a 3rd party library how much more if you are just referencing your own JavaScript/TypeScript files within your project. Slide 10 - A few of the other cool features * That was only the basic feature of TypeScript * A few of the other cool features are... Slide 11 - End

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When it comes to performance testing, most engineers instinctively gravitate toward the big-picture indicators—response time, memory usage, throughput. But what about the smaller, more subtle indicators that quietly shape your application’s performance and stability? we explored the hidden layer of performance diagnostics that too often gets overlooked: micro-metrics. These small but mighty data points can reveal early signs of trouble long before they manifest as outages or degradation in production. From garbage collection behavior and object creation rates to thread state transitions and blocked thread patterns, we unpacked the critical micro-metrics every performance engineer should assess before giving the green light to any release. This session went beyond the basics, offering hands-on demonstrations and JVM-level diagnostics that help identify performance blind spots traditional tests tend to miss. We showed how early detection of these subtle anomalies can drastically reduce post-deployment issues and production firefighting. Whether you're a performance testing veteran or new to JVM tuning, this session helped shift your validation strategies left—empowering you to detect and resolve risks earlier in the lifecycle.

IBM Rational Unified Process For Software Engineering - IntroductionGaurav Sharma

Software Engineering Process, Notation & Tools Introduction - Part 4Gaurav Sharma

Integration Ignited Redefining Event-Driven Architecture at Wix - EventCentricNatan Silnitsky

At Wix, we revolutionized our platform by making integration events the backbone of our 4,000-microservice ecosystem. By abandoning traditional domain events for standardized Protobuf events through Kafka, we created a universal language powering our entire architecture. We'll share how our "single-aggregate services" approach—where every CUD operation triggers semantic events—transformed scalability and extensibility, driving efficient event choreography, data lake ingestion, and search indexing. We'll address our challenges: balancing consistency with modularity, managing event overhead, and solving consumer lag issues. Learn how event-based data prefetches dramatically improved performance while preserving the decoupling that makes our platform infinitely extensible. Key Takeaways: - How integration events enabled unprecedented scale and extensibility - Practical strategies for event-based data prefetching that supercharge performance - Solutions to common event-driven architecture challenges - When to break conventional architectural rules for specific contexts

Artificial Intelligence Applications Across IndustriesSandeepKS52

Artificial Intelligence is a rapidly growing field that influences many aspects of modern life, including transportation, healthcare, and finance. Understanding the basics of AI provides insight into how machines can learn and make decisions, which is essential for grasping its applications in various industries. In the automotive sector, AI enhances vehicle safety and efficiency through advanced technologies like self-driving systems and predictive maintenance. Similarly, in healthcare, AI plays a crucial role in diagnosing diseases and personalizing treatment plans, while in financial services, it helps in fraud detection and risk management. By exploring these themes, a clearer picture of AI's transformative impact on society emerges, highlighting both its potential benefits and challenges.

Boost Student Engagement with Smart Attendance Software for SchoolsVisitu

Scalefusion Remote Access for Apple DevicesScalefusion

🔌Tried restarting. 🔁Then updating. 🔎Then Googled a fix. And then it crashed. Guess who has to fix it? You. And who’ll help you? - Scalefusion. Scalefusion steps in with real-time access, not just remote hope. Support for Apple devices that support you (and them) to do more. For more: https://scalefusion.com/remote-access-software-mac https://scalefusion.com/es/remote-access-software-mac https://scalefusion.com/fr/remote-access-software-mac https://scalefusion.com/pt-br/remote-access-software-mac https://scalefusion.com/nl/remote-access-software-mac https://scalefusion.com/de/remote-access-software-mac https://scalefusion.com/ru/remote-access-software-mac

Scaling FME Flow on Demand with Kubernetes: A Case Study At Cadac Group SaaS ...Safe Software

In today’s data-driven world, efficiency is key. For Cadac, a Dutch leading provider of SaaS solutions and Autodesk Platinum partner, ensuring that customers can process data on demand is crucial to delivering a seamless experience. However, with fluctuating user demand, a challenge emerged: How do we scale FME Flow to meet on-the-fly processing needs without over-investing in infrastructure? Enter Kubernetes and KEDA (Kubernetes Event-Driven Autoscaling). In this presentation, we will explore how these cutting-edge technologies helped dynamically scale FME Flow engines based on real-time demand, without wasting resources. Instead of relying on the standard Kubernetes autoscaling based on CPU and RAM metrics, which can lead to ineffective scaling, KEDA can integrate directly with the FME Flow REST API. This allowed autoscaling based on the actual number and type of jobs in the queue. Now, whenever demand spikes, Kubernetes automatically spins up additional machines tailored to the type of workload—whether it’s CPU-intensive tasks or memory-heavy processes—ensuring optimal performance and cost-efficiency. While afterwards also autoscaling to zero, to reduce costs. Join us as we dive into how this approach helped Cadac scale on demand, reduce infrastructure costs, and provide a better experience for their customers. This session will feature both a technical walkthrough and insights on the real-world impact and value this solution has delivered to their platform and client.

Essentials of Resource Planning in a DownturnOnePlan Solutions

Agile Software Engineering MethodologiesGaurav Sharma

FME for Climate Data: Turning Big Data into Actionable InsightsSafe Software

Regional and local governments aim to provide essential services for stormwater management systems. However, rapid urbanization and the increasing impacts of climate change are putting growing pressure on these governments to identify stormwater needs and develop effective plans. To address these challenges, GHD developed an FME solution to process over 20 years of rainfall data from rain gauges and USGS radar datasets. This solution extracts, organizes, and analyzes Next Generation Weather Radar (NEXRAD) big data, validates it with other data sources, and produces Intensity Duration Frequency (IDF) curves and future climate projections tailored to local needs. This presentation will showcase how FME can be leveraged to manage big data and prioritize infrastructure investments.

How John started to like TDD (instead of hating it) (ViennaJUG, June'25)Nacho Cougil

Let me share a story about how John (a developer like any other) started to understand (and enjoy) writing Tests before the Production code. We've all felt an inevitable "tedium" when writing tests, haven't we? If it's boring, if it's complicated or unnecessary? Isn't it? John thought so too, and, as much as he had heard about writing tests before production code, he had never managed to put it into practice, and even when he had tried, John had become even more frustrated at not understanding how to put it into practice outside of a few examples katas 🤷‍♂️ Listen to this story in which I will explain how John went from not understanding Test Driven Development (TDD) to being passionate about it... so much that now he doesn't want to work any other way 😅 ! He must have found some benefits in practising it, right? He says he has more advantages than working in any other way (e.g., you'll find defects earlier, you'll have a faster feedback loop or your code will be easier to refactor), but I'd better explain it to you in the session, right? PS: Think of John as a random person, as if he was even the speaker of this talk 😉 ! --- Presentation shared at ViennaJUG, June'25 Feedback form: https://bit.ly/john-like-tdd-feedback

14 Years of Developing nCine - An Open Source 2D Game FrameworkAngelo Theodorou

COBOL Programming with VSCode - IBM CertificateVICTOR MAESTRE RAMIREZ

Generative Artificial Intelligence and its ApplicationsSandeepKS52

The exploration of generative AI begins with an overview of its fundamental concepts, highlighting how these technologies create new content and ideas by learning from existing data. Following this, the focus shifts to the processes involved in training and fine-tuning models, which are essential for enhancing their performance and ensuring they meet specific needs. Finally, the importance of responsible AI practices is emphasized, addressing ethical considerations and the impact of AI on society, which are crucial for developing systems that are not only effective but also beneficial and fair.

Bonk coin airdrop_ Everything You Need to Know.pdfHerond Labs

The Bonk airdrop, one of the largest in Solana’s history, distributed 50% of its total supply to community members, significantly boosting its popularity and Solana’s network activity. Below is everything you need to know about the Bonk coin airdrop, including its history, eligibility, how to claim tokens, risks, and current status. https://blog.herond.org/bonk-coin-airdrop/