Front-end development has an amazing assortment of libraries and tools, yet it can seem very complex and doest seem much fun. So we'll live code a ClojureScript application (with a bit of help from Git) and show how development doesn't have to be complex or slow. Through live evaluation, we can build a reactive, functional application. Why not take a look at a well designed language that uses modern functional & reactive concepts for building Front-End apps. You are going to have to trans-pile anyway, so why not use a language, libraries and tooling that is bursting with fun to use.
This document discusses Java 8 concurrency abstractions including asynchronous result processing using CompletableFuture and optimistic locking using StampedLock. It provides an overview and comparison to previous concurrency APIs. The agenda includes exploring CompletableFuture features like asynchronous execution, chaining reactions, and exception handling. It also covers using StampedLock for optimistic reads, comparing it to the previous ReentrantReadWriteLock approach. Examples are shown for common use cases of these new concurrency APIs.
Powering machine learning workflows with Apache Airflow and PythonTatiana Al-Chueyr
This document provides an overview of using Apache Airflow to power machine learning workflows with Python. It discusses Airflow concepts like DAGs, operators, relationships and visualizations. It also covers installing Airflow, common issues experienced like debugging and versioning, and using Airflow for machine learning tasks like model building and hyperparameter tuning. Examples of Airflow pipelines for data ingestion and machine learning are demonstrated. The presenter's background and the BBC Datalab team are briefly introduced.
Real world functional reactive programmingEric Polerecky
FRP is about programming with asynchronous data streams declaratively. Reactive programming treats everything as an asynchronous data stream. FRP uses concepts from functional programming like immutable data and first class functions. The key abstraction in FRP is IObservable which represents a stream of events or values over time. FRP is useful for handling events, stateful applications, and incoming data streams from sources like the file system, sensors, or HTTP requests.
This document discusses an experiment to use PostgreSQL as the sole data access layer for a web application by replacing a traditional RESTful API server with PostgREST. PostgREST is a framework that provides a RESTful interface to any PostgreSQL database without requiring additional code or configuration. The document demonstrates PostgREST by connecting to a sample Pagila database and allowing full CRUD operations and filtering through SQL queries alone. It also shows how PostgREST handles authentication, authorization, relations, and versioning directly through PostgreSQL features.
ave time learning on your own. Start Building with React, MongoDB, Express, & Node. The MERN Stack.
Learning a new JavaScript framework is difficult. You can spend weeks learning new concepts. If an online example doesn’t work, you may spend countless hours Googling, searching Stack Overflow and blogs for the solution.
Take the fast track and learn from an experienced Senior Software Engineer and professional instructor!
About this Course
This highly interactive course features a large amount of student labs and hands-on coding. You will be taught how to assemble the complete stack required to build a modern web app using React.js, MongoDB (a NoSQL database) and Express (a framework for web application servers). This course will also cover many other tools that go into building a complete web application: React Router, React-Bootstrap, Redux, Babel, and Webpack.
What You Will Learn
• How to use modern JavaScript features
• Webpack
• Node & Express
• Reading and writing data to a MongoDB database
• Babel
• React
• State Management with Redux
• Mongoose
• And More!
In this video you are going to learn what is an operator in Apache Airflow. There are multiple kinds of operator such as Action Operator, Sensor Operator and Transfer Operator and it's important to know why and when to use one over another.
If you want to access to the entire course and support my work go to
https://www.udemy.com/the-complete-hands-on-course-to-master-apache-airflow/?couponCode=YOUTUBE-AIRFLOW
Thank you very much and have a good learning day :)
EcmaScript 6 introduces many new features to JavaScript including let and const block-scoped variables, arrow functions, classes, promises, and modules. Tooling like transpilers are currently needed to use ES6 in older browsers. Future versions will continue to evolve the language with proposals for ES7 including concurrency, streams, and better support for classes and metaprogramming. Overall ES6 and future versions aim to modernize JavaScript and better support object-oriented and asynchronous programming patterns.
Remote Procedure Calls in GWT allow Java server code to be called from GWT clients using procedure-like calls that can pass complex objects. The document discusses how GWT RPC is implemented, best practices for using RPC effectively including embracing asynchrony, using data transfer objects to avoid abstraction issues, and considerations for integrating RPC with server-side frameworks. Future directions for GWT RPC such as improved merging of updated objects from the client are also mentioned.
Alberto Maria Angelo Paro - Isomorphic programming in Scala and WebDevelopmen...Codemotion
Scala is the only language that can be used to produce code that can be "trans/compiled" for the JVM, in Javascript and in native binary. This allows to write libraries that are usable in JVM and JS using the power of functional programming (i.e. cats, scalaz), generic programming (i.e. shapeless) and macro/scalameta available in Scala. In this talk, we will see how to write a Scala application backend and a SPA (scala.js/scala-js-react) that share the same code as a business logic, datamodels and transparent API call (JVM/JS) in Scala (via autowire/akka-http/circe).
Building domain-specific testing tools : lessons learned from the Apache Slin...Robert Munteanu
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Gatling 2 is planned for 2014 and will include significant refactoring and new features. Some key changes include:
1. A new expression API that uses Validation to handle errors and support different data types.
2. Improvements to the session API to make data access safer.
3. A new templating API that supports string interpolation and external EL templates for simple use cases.
4. Enhancements to checks like regex to support capturing multiple groups and different data types.
5. Support for fetching embedded resources in parallel to better simulate browser behavior during load tests.
This document provides an overview of the ELK stack, including Logstash for collecting and parsing logs, Elasticsearch for indexing logs, and Kibana for visualizing logs. It discusses using the open source ELK stack as an alternative to Splunk and provides instructions for getting started with a basic ELK implementation.
Developer-friendly taskqueues: What you should ask yourself before choosing oneSylvain Zimmer
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Developing high-performance network servers in LispVladimir Sedach
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Reactive programming with Rx-Java allows building responsive systems that can handle varying workloads and failures. It promotes asynchronous and non-blocking code using observable sequences and operators. Rx-Java was created at Netflix to address issues like network chattiness and callback hell in their API. It transforms callback-based code into declarative pipelines. Key concepts are Observables that emit notifications, Operators that transform Observables, and Subscribers that receive emitted items. Rx-Java gained popularity due to its support for concurrency, error handling, and composability.
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- The document discusses logging for containers using Fluentd, an open source data collector. It describes how Fluentd can provide a unified logging layer, reliably forwarding and aggregating logs from multiple containers and applications in a pluggable way.
- Key points covered include using Fluentd with the new Docker logging drivers to directly collect logs from containers, avoiding performance penalties from other approaches. A demo of Fluentd is also mentioned.
Progscon 2017: Taming the wild fronteer - Adventures in ClojurescriptJohn Stevenson
This document provides an overview of Clojurescript presented by John Stevenson. It discusses how Clojurescript provides a pragmatic approach to functional programming using immutable data structures and pure functions. It also describes how Clojurescript interfaces with popular JavaScript frameworks like React and how it can help manage complexity and state changes in web applications. Additionally, the document provides examples of Clojurescript libraries and tools and discusses ways to get started with the Clojurescript environment and ecosystem.
Introduction to Functional Reactive Web with ClojurescriptJohn Stevenson
This document provides an introduction to functional reactive web development using ClojureScript. It discusses topics like functional programming concepts like pure functions and eliminating side effects. It also covers popular ClojureScript frameworks like Reagent, Om, and Rum that provide interfaces to React. The document demonstrates ClojureScript tooling like Figwheel and interactive development. It provides an overview of concepts like JSX and React basics. Finally, it advertises the benefits of ClojureScript for building functional web applications with immutability and composable functions.
React Native allows developers to build mobile apps using React with native platform capabilities. It uses native components instead of web views, making apps feel and perform like native ones. The document discusses what React Native is, how to set up a development environment, build a basic app, add libraries, handle common errors, and React Native fundamentals like components, styles, layout, events, and touch handling.
This document provides an overview of React Native, Redux, and ES6 concepts. It begins with an introduction to React Native fundamentals like components, props vs state, and styling. It then covers Redux terminology such as actions, reducers, and middleware. Finally, it discusses ES6 features like arrow functions, destructuring, and template literals. Code examples and links to documentation are provided throughout for illustrating key concepts.
This document provides an overview of JavaScript and jQuery. It covers JavaScript syntax, values, operators, expressions, keywords, comments, objects, functions, conditions, arrays, and the Date object. It also discusses using JavaScript for dynamic web pages, DOM manipulation, and DHTML. Additionally, it provides examples of simple JavaScript programs for adding numbers and using prompt boxes. jQuery is also listed as a topic covered but not described.
This document discusses using React with Grails 3. It begins with an overview of React, explaining key concepts like components, props, and state. It then covers different approaches to using React in Grails projects, including with the Asset Pipeline, Webpack, and the React profile for Grails which generates a project setup with React and Webpack configured. Isomorphic React, which allows server-side rendering with Nashorn, is also demonstrated. Resources for further learning about React, Grails plugins, and integrating the two frameworks are provided.
Javascript allows interactive content on web pages and control of the browser and document. It is an interpreted scripting language that is cross-platform but support varies. Javascript can provide interactive content, control document appearance and content, and interact with the user through event handlers.
The document provides an introduction to developing complex front-end applications using HTML and JavaScript. It discusses how JavaScript modules can be organized in a way that is similar to frameworks like WPF and Silverlight using simple constructs like the module pattern. It also covers asynchronous module definition (AMD) and how modules can be loaded and dependencies managed using RequireJS. The document demonstrates unit testing jQuery code and using pubsub for loose coupling between modules. Finally, it discusses how CSS compilers like SASS can make CSS authoring more productive by allowing variables, nesting and mixins.
This document discusses using various technologies on Google App Engine including JIQL, GaeVFS, RESTlets, scheduled tasks, JRuby on Rails, task queues, XMPP, and Clojure. JIQL emulates a relational database on App Engine's Bigtable datastore. GaeVFS provides a virtual filesystem on Bigtable. RESTlets make RESTful web services easy to implement in Java on App Engine. Scheduled tasks allow for background processing via cron jobs. JRuby on Rails provides a way to run Ruby on Rails applications on App Engine. Task queues allow for asynchronous background processing. XMPP enables instant messaging and peer-to-peer applications. Clojure can also be used
GraphQL is a query language for APIs that was created by Facebook in 2012. It allows clients to define the structure of the data required, and exactly the data they need from the server. This prevents over- and under-fetching of data. GraphQL has grown in popularity with the release of tools like Apollo and GraphQL code generation. GraphQL can be used to build APIs that integrate with existing backend systems and databases, with libraries like Express GraphQL and GraphQL Yoga making it simple to create GraphQL servers.
This document provides an overview of the Swing Application Framework and Beans Binding frameworks being developed as part of JSR 296 and JSR 295. It discusses the motivations for creating standard frameworks to simplify Swing development, outlines the key goals and components of the Swing Application Framework, and briefly introduces Beans Binding for keeping object properties in sync. The frameworks are aimed at addressing common issues for typical Swing applications and are intended for the Java SE 7 platform.
The document provides an overview of functional programming in JavaScript. It discusses key functional programming concepts like pure functions, referential transparency, and higher-order functions. It also covers functional techniques like mapping, filtering, reducing, and recursion that are commonly used in functional programming. The document uses examples with Lodash functions to demonstrate how these concepts and techniques can be implemented in JavaScript.
WebNet Conference 2012 - Designing complex applications using html5 and knock...Fabio Franzini
This document provides an overview of designing complex applications using HTML5 and KnockoutJS. It discusses HTML5 and why it is useful, introduces JavaScript and frameworks like KnockoutJS and SammyJS that help manage complexity. It also summarizes several JavaScript libraries and patterns including the module pattern, revealing module pattern, and MV* patterns. Specific libraries and frameworks discussed include RequireJS, AmplifyJS, UnderscoreJS, and LINQ.js. The document concludes with a brief mention of server-side tools like ScriptSharp.
The document discusses setting up a web application project in Clojure using the Luminus framework. It covers installing Leiningen and creating a new Luminus project template. It also summarizes key aspects of the Luminus framework including templating with Selmer and Hiccup, routing with Compojure, and interacting with databases using Ring and Korma. The document provides an overview of the project directory structure and describes adding data models and database tables.
The document introduces the Play Framework version 2.1 and highlights its key features. It demonstrates building a sample application in Scala using Play's reactive, non-blocking architecture. Key features discussed include Play's built-in support for Scala, reactive programming, JSON APIs, routing, templates, and testing.
Framework design involves balancing many considerations, such as:
- Managing dependencies between components to allow for flexibility and evolution over time. Techniques like dependency injection and layering help achieve this.
- Designing APIs by first writing code samples for key scenarios and defining object models to support these samples to ensure usability.
- Treating simplicity as a feature by removing unnecessary requirements and reusing existing concepts where possible.
JavaScript is evolving with the addition of modules, platform consistency, and harmony features. Modules allow JavaScript code to be organized and avoid naming collisions. CommonJS and AMD module formats are used widely. Platform consistency is improved through polyfills that mimic future APIs for older browsers. Harmony brings language-level modules and features like destructuring assignment, default parameters, and promises to JavaScript. Traceur compiles Harmony code to existing JavaScript.
This document discusses microservices architectures and provides examples of tools used in microservices architectures like those implemented at Netflix. It describes common microservices patterns like service discovery (Eureka), configuration management (Archaius), load balancing (Ribbon), circuit breaking (Hystrix), monitoring (Turbine), edge services (Zuul), and logging (Blitz4j). It also discusses using these tools with Spring Cloud and provides code samples for configuring services using Netflix OSS and Spring Cloud.
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Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsMydbops
This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization.
Key Takeaways:
* Understand why connection pooling is essential for high-traffic applications
* Explore various connection poolers available for PostgreSQL, including pgbouncer
* Learn the configuration options and functionalities of pgbouncer
* Discover best practices for monitoring and troubleshooting connection pooling setups
* Gain insights into real-world use cases and considerations for production environments
This presentation is ideal for:
* Database administrators (DBAs)
* Developers working with PostgreSQL
* DevOps engineers
* Anyone interested in optimizing PostgreSQL performance
Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services
6. From Javascript to Clojurescript
f(x) -> (f x)
;; First element of a list is a function call
var foo = “bar” -> (def foo “bar”)
;; bind a name to a value or function
;; values are immutable
@jr0cket
7. Clojurescript - basic syntax
(ns clojure.awesome ) ;; define a namespace (scoping)
(defn function-name [args] (behaviour)) ;; define a function, with arguments
(function-name data) ;; call a function with the data as its argument
(def name “data-or-value”) ;; bind a name to data within the namespace scope
(let [name “data-or-value”]) ;; bind a name to a data within the let scope (local)
:keyword-name ;; a keyword is a name (symbol) that points to itself
;; Chaining functions: Thread the result of the first fn into the argument of the next fn
(-> (function-a “data”)
(function-b ,,,) ;; In Clojure commas , are whitespace
(function-c ,,, “data”))
8. Built-in immutable data structures
Model state and any other data with built-in (hash) maps,
vectors (arrays), (linked) lists, (unique) sets
(list 1 2 3 4 5) ‘(“fish” “chips” 42)
(vec ‘(1 2 3 4)) [1 2 3 4]
{:key “value”} {:name “John” :skill “conferencing”}
(set ‘(1 2 3 4 4)) #{1 2 3 4}
9. Clojure - a few core functions
(map fn collection) ;; map a fn over a collection, return new collection
(reduce fn collection) ;; return the value of combining elements in collection with fn
(for [x collection] (fn x)) ;; iterate over the elements of a collection
(filter fn collection) ;; return a collection of values that comply with the filter fn
(get {:veg “kale” :fruit “kiwi”} :fruit) ;; return value pointed to by keyword
(:fruit {:veg “kale” :fruit “kiwi”}) ;; return value pointed to by keyword
(conj collection value) ;; conjoin a value to the collection
(assoc collection coll) ;; add a collection to the collection
(update {:a 1} :a fn) ;; update value pointed to by the key in a map with the fn
11. The Complexity Iceberg
- @krisajenkins
● complexity is very
dangerous when hidden
● You can't know what a
function does for certain if it
has side effects
13. Pure Functions
The results of the function are purely determined by its initial output and its own code
- no external influence, a function only uses local values
- referential transparency (the function can be replaced by its value)
15. Eliminating Side Effects
Functional programming is about eliminating side effects where you can,
controlling them where you can't - @krisajenkins
The features in Functional Programming come from a
desire to reduce side effects
28. Common Clojurescript Tooling
Leiningen
- build automation tool for Clojure & Clojurescript
Figwheel (leiningen plugin)
- defacto tool for client side web apps
- live reload
- multi-broadcast (eg simultaneous dev & test outputs)
29. Full-stack projects: Chestnut
https://github.com/plexus/chestnut
- leiningen template for Clojure/ClojureScript apps based
- with Om, Reagent, or Rum
- instant reloading of Clojure, ClojureScript, and CSS
- browser-connected REPL included
lein new chestnut project-name
30. Self-hosted Clojurescript Environments
Instant startup times, great for command line tools
Lumo (cross-platform)
- https://github.com/anmonteiro/lumo
Plank (Mac & Linux)
- http://planck-repl.org/
47. Om / Om-next
Models the React.js API
Rapidly re-render the UI from the root due via Immutable data structures
- UIs are snapshot-able and undoable without implementation complexity
Om supports features not currently present in React:
- Global state management facilities built in
- Components may have arbitrary data dependencies, not limited to props & state
- Component construction intercepted via :instrument. Simplifies debugging
- Stream all application state deltas via :tx-listen. Simplifies on/offline sync
- Customizable semantics
48. Om core functions
om.core/IRender
- Render a Om component into the DOM
- uses reify to provide a specific implementation of the om/IRender interface
om.core/IInitState
- maintains a local state (eg. for managing user input data)
om.core/IRenderState
- Render a Om component into the DOM
- renders component on change in local & global state
49. Om core functions
om.dom/div attributes content
- creates a <div> tag in react
- all react tags need to be wrapped in a div in order to be rendered
- om.dom/… has all the other tags too - h1, h2, p, a … (sablono can be used instead)
#js
- converts clojure maps into Javascript objects
- nest #js functions to to create JS objects - eg. for inline styles
50. Om Cursors
A cursor is an atom & a path to a location in the atom
app-state :schedule 0
Components use the cursor to refer to pieces of the app state
- without knowing where they are in the state tree
- updating app state is simple as the cursor is in the correct part of the app
state
54. Reagent
Reagent provides a minimalistic interface between ClojureScript and React
- define efficient React components using nothing but plain ClojureScript
functions and data
- describe your UI using a Hiccup syntax
[:div [:h1 “Heading”]
[:div [:p “Paragraph” ]
[:a {:href “/link.html”} “link text”]]]
- define arbitrarily complex UIs using a couple of basic concepts
- fast enough by default that you rarely have to care about performance.
55. Reagent Core functions
reagent.core/render
- Render a Reagent component into the DOM
- First argument is either a vector (Reagent Hiccup syntax) or a React element
reagent.core/atom
- Like clojure.core/atom, plus it tracks components that deref atom & re-renders them
56. Helper functions
Reagent used Clojurescript functions for conversion from
- Clojure Maps to Javascript Objects
- Clojurescript vectors to Javascript arrays
clj->js
- convert from Clojurescript to Javascript
js->clj
- convert from Javascript to Clojurescript
60. Re-frame
a pattern for writing SPAs in ClojureScript, using Reagent.
a framework with pure functions which transform data
Architecturally implements "a perpetual loop".
Build apps by writing pure functions for certain parts of
the loop that transform the data
- Re-frame looks after the conveyance of data around the
loop, into and out of the transforming functions you write
- tag line of "Derived Values, Flowing".
62. Rum
Rum is a client/server library for HTML UI. In ClojureScript, it works as React wrapper, in Clojure, it is a static HTML
generator.
- Simple semantics: Rum is arguably smaller, simpler and more straightforward than React itself.
- Decomplected: Rum is a library, not a framework. Use only the parts you need, throw away or replace what you don’t
need, combine different approaches in a single app, or even combine Rum with other frameworks.
- No enforced state model: Unlike Om, Reagent or Quiescent, Rum does not dictate where to keep your state. Instead, it
works well with any storage: persistent data structures, atoms, DataScript, JavaScript objects, localStorage or any custom
solution you can think of.
- Extensible: the API is stable and explicitly defined, including the API between Rum internals. It lets you build custom
behaviours that change components in significant ways.
- Minimal codebase: You can become a Rum expert just by reading its source code (~900 lines).
63. Rum - at ClojureX
https://skillsmatter.com/skillscasts/9149-modern-web-apps-with-rum
70. Learning by teaching others
I really started thinking in Clojure when I started talking to & teaching others
- Coding dojos
- talks on Clojure (starting with the basics, showing the art of the possible)
- moving on to running conferences
- workshops at hack days