Functional web development with Git(Hub), Heroku and Clojure

May 16, 20131 like4,516 views

This document discusses functional web development using Git(Hub), Heroku, and Clojure. It introduces these tools: GitHub for collaboration and code management; Heroku as a cloud application platform; and Clojure as a functional programming language. It then explains why Clojure is a good language to learn, specifically that it uses functional programming principles like pure functions, immutable data, and expressions. Finally, it provides examples of building functional web applications with Clojure, Ring, and Compojure that treat requests as maps and process them with functions.

Functional web
development with Git(Hub),
Heroku and Clojure
Jacek
Laskowski
Poznań, Polska, 13.05.2013
@JacekLaskowski
blog.japila.pl

Don’t forget
a picture
Smile, please :-)

The Goal
Share a platform to
develop your skills
and have your work
available to the public

PLAYGROUND
• GitHub
• Collaboration, review, and code
management Platform
• Heroku
• Cloud Application Platform
• Clojure
• Functional Programming Language

Learnin’
and
haVin’ FUN!
Always!
http://www.ﬂickr.com/photos/lauraprevost83/

• Functional Programming
Language
• Pure functions...wherever
possible
• Immutable data structures
• Expressions
Clojure

• “Learn a new language every
year” @PragProg
Why Clojure (1)

• “Learn a new language every
year” @PragProg
• New (idioms)
Why Clojure (1)

• “Learn a new language every
year” @PragProg
• New (idioms)
• (Perhaps) cool
Why Clojure (1)

• “Learn a new language every
year” @PragProg
• New (idioms)
• (Perhaps) cool
• Fresh (undoubtedly)
Why Clojure (1)

• “Learn a new language every
year” @PragProg
• New (idioms)
• (Perhaps) cool
• Fresh (undoubtedly)
• Java interop available
Why Clojure (1)

• “Learn a new language every
year” @PragProg
• New (idioms)
• (Perhaps) cool
• Fresh (undoubtedly)
• Java interop available
• More?!
Why Clojure (1)

Why Clojure (2)
http://www.ﬂickr.com/photos/karmaowl/

• Request = a map
Functional web development

• Request = a map
• Request processing = a
function manipulating the map
Functional web development

“Functional” request
http://localhost:8090/

• Dynamic web applications with
Clojure and Ring - part 1
http://jaceklaskowski.pl/wiki/
Dynamic_web_applications_with_Clojure_and_Ring_-_part_1
• Clojure w aplikacji webowej z
Compojure oraz Ring i Hiccup
http://jaceklaskowski.pl/wiki/
Clojure_w_aplikacji_webowej_z_Compojure_oraz_Ring_i_Hiccup
http://jaceklaskowski.pl/wiki

QuestionS?
Jacek
Laskowski
Poznań, Polska, 13.05.2013
@JacekLaskowski
blog.japila.pl

This document discusses interactive development in Clojure using Vim. It mentions that Clojure is a functional, interoperable Lisp that allows object-oriented programming to be overrated. It also provides links to demo Clojure projects using Leiningen, Seesaw, and Insubstantial skins, and notes that the Fireplace plugin makes Vim customizable for efficient Clojure development. Contact information is provided at the bottom for questions.

Blender+Python script模擬電影裡的GUI介面動畫David Chen

This document discusses emulating GUI animations using Blender and Python scripts. It provides background on Blender, some example movie scenes that use hacking or GUI elements, and demos several Blender projects the author created to emulate GUI interactions and animations through Python scripts. These include projects animating a map application, monitoring software, decoding software and attempted storyboarded scenes. The document concludes with contact information for the author.

Open source, What | Why | How Nikhil Agrawal

The document discusses open source software, including what it is, examples of open source software, why one might use or develop open source software, and how to make a private software project open source. Open source software is software with source code publicly available for modification or enhancement by anyone. Common examples include Linux, Android, and programming languages like PHP and Python. Reasons to use open source include more control over software, lower costs, and quicker development. Reasons to develop open source include learning from others' feedback and building a community. The document provides steps for making a private project open source, such as hosting the code publicly, creating documentation, and announcing the project.

How to master a programming language: a Golang example"Evan Lin

This document provides tips and resources for learning the Go programming language. It introduces Go and some of its key features like being compiled, statically typed, and having garbage collection. It then provides various links to interactive coding tutorials, example CLI and testing projects, and documentation resources. It also discusses concurrency concepts in Go like goroutines and channels. The document emphasizes that the best way to truly learn a language is to start writing complete programs and sharing knowledge with others.

How I become Go GDEEvan Lin

Evan Lin introduces Golang Taipei, a Golang user group he co-organizes in Taiwan. He discusses his background in Windows and web development and how he got involved with Golang. He shares about Project 52, a challenge he took on to create 52 Golang projects in a year. This helped him learn new tools and algorithms. Evan explains how blogging about his projects and sharing his knowledge led him to become a Golang Developer Experience (GDE). He encourages sharing what you learn to both teach others and further your own understanding of Golang.

Hubot + wit.ai, un chatbot aziendale per SlackPaolo Montrasio

JavaOne 2013 - Clojure for Java DevelopersJan Kronquist

The fact that Clojure is a dialect of Lisp makes it feel completely alien to Java developers, and they miss the opportunity to learn this dynamic and functional programming language for the JVM. Clojure’s focus on immutability makes it very useful for concurrency. This presentation introduces Clojure in a way that feels natural to Java developers. By seeing how well Clojure interoperates with Java, you will learn how to take advantage of this wonderful language and still use all the frameworks and features of the JVM.

Clojure - An Introduction for Java Programmerselliando dias

This document provides an introduction to the Clojure programming language. Clojure is a dynamic, functional programming language for the Java Virtual Machine (JVM). The document discusses Clojure's fundamentals including being dynamic, functional, hosted on the JVM, and supporting concurrency. It also covers Clojure's syntax, data types, Java integration, functional programming features, and concurrency model using immutable persistent data structures and software transactional memory.

Data visualisation in python tool - a briefameermalik11

This document provides an overview of data visualization tools in Python and R. It discusses popular Python libraries like Matplotlib, NumPy, Pandas, and Seaborn for creating visualizations. For R, it covers the R programming language, RStudio IDE, and key visualization packages like ggplot2. Examples demonstrate creating bar charts and other visualizations in both Python and R. The document recommends resources for learning data visualization and encourages participation in the library's GIS working group.

GOTO Paris | @see GopherJan Klat

This document summarizes several presentations from a Go programming conference. It discusses tools for compiling Go to JavaScript, accessing mobile APIs from Go, building small binaries, code refactoring, plugins, prototyping designs, immutability, and first class functions in Go. Specific presentations are named and linked that cover topics like GopherJS, mobile development, link flags for small binaries, dealing with messy codebases, communicating between plugins, and advantages of first class functions.

Jetpack SDK: The new possibility of the extensions on browserlittlebtc

The document discusses the new Jetpack SDK which provides a new way to develop extensions for the Mozilla platform like Firefox. It allows writing extensions using HTML5, CSS3 and JavaScript in a modular way. The Jetpack SDK uses Python and provides tools for testing and packaging extensions. It also has APIs for creating widgets, working with tabs, making HTTP requests, storing data and using timers. Examples shown include extensions for sharing pages to Plurk, displaying apologies, and tracking unread messages on Plurk. The future of Jetpack SDK includes more APIs and improvements to the add-on installation and update process.

JavaScript Libraries (Ajax Exp 2006)jeresig

How and Why you can and should Participate in Open Source Projects (AMIS, Sof...Lucas Jellema

For a long time I have been reluctant to actively contribute to an open source project. I thought it would be rather complicated and demanding – and that I didn't have the knowledge or skills for it or at the very least that they (the project team) weren't waiting for me. In December 2021, I decided to have a serious input into the Dapr.io project – and now finally to determine how it works and whether it is really that complicated. In this session I want to tell you about my experiences. How Fork, Clone, Branch, Push (and PR) is the rhythm of contributing to an open source project and how you do that (these are all Git actions against GitHub repositories). How to learn how such a project functions and how to connect to it; which tools are needed, which communication channels are used. I tell how the standards of the project – largely automatically enforced – help me to become a better software engineer, with an eye for readability and testability of the code. How the review process is quite exciting once you have offered your contribution. And how the final "merge to master" of my contribution and then the actual release (Dapr 1.6 contains my first contribution) are nice milestones. I hope to motivate participants in this session to also take the step yourself and contribute to an open source project in the form of issues or samples, documentation or code. It's valuable to the community and the specific project and I think it's definitely a valuable experience for the "contributer". I looked up to it and now that I've done it gives me confidence – and it tastes like more (I could still use some help with the work on Dapr.io, by the way).

Hacking Saturday 2018-05 - flutterWan Leung Wong

Flutter is Google's mobile app SDK that allows building high quality iOS and Android apps using one codebase. It offers fast development of expressive and beautiful UIs using its modern reactive framework while providing access to native features and SDKs. The main benefits are writing one code for both platforms and very fast development. However, it requires learning a new language, Dart, and there is no widget GUI builder. Third party Java libraries cannot be used cross-platform. Tutorials are provided to help learn Flutter.

Intro to GoClarence Bakirtzidis

So Easy, A Ten Year Old Can Do It by Zeph GardlerDocker, Inc.

Docker focuses on simplicity. In this session we will here how, Zeph, a 10 year old boy went from asking his dad a simple question, to deploying Docker containers to help search for a cancer cure and to build worlds. We’ll hear how the simplicity of Docker inspired him to learn more, and now as an 11 year old, he has moved on to programming his own containerized applications to process vital data streams from public APIs.

Gophercon 2016 recapFrancesco Lazzarino

This document summarizes a two-day Austin Go Language User Group event. Over the two days, there were presentations on topics such as understanding nil in Go, navigating unfamiliar Go code, using Go for data science, error handling in Go, vendoring in Go, concurrency visualization, internationalization in Go, and building mobile apps with Go. Presenters discussed the internals of Go maps and reflection. On the second day, talks included using Go without an operating system, packet capture and analysis in Go, and a hack day working on projects like controlling drones and Bluetooth devices with Go. Resources from many of the presentations were linked.

Creative Interactive Browser Visualizations with Bokeh by Bryan Van de venPyData

Bokeh is an interactive visualization library for Python that allows creating browser-based plots, dashboards, and data applications. It produces static or live interactive visualizations for large datasets. Key features include high-level abstractions, interactive tools, linking views, streaming data support, and integration with Jupyter notebooks. The developer is seeking feedback to improve usability and expand capabilities like abstract rendering for millions of data points.

The Next Generation of Social is in a HangoutJonathan Beri

📍 StoryPath - Location Experience Platform.pptxwilliamjys

✨ Overview StoryPath is a location-based experience platform that allows users to create and explore virtual museum exhibits, location-driven tours, and treasure hunts with clues. The platform includes: - A Web app built in React for authorship of experiences. Github - A React Native Player for users to deploy and experience the location-based projects. Users can choose from various location-based experiences (projects) created on the Web app and explore them via the React Native Player. Depending on the project, users can scan QR codes or visit locations in person to trigger pop-ups showing location-specific content.

PyData London Bokeh Tutorial - Bryan Van de VenPyData

This document provides information about Bokeh, an interactive visualization library for Python that allows creating browser-based visualizations. It describes Bokeh's capabilities like interactive glyphs that link visual elements to data, high-level expressions for interactivity, and outputting plots to the web. The document also outlines upcoming features and provides links to download materials, videos, and code repositories to learn more about Bokeh and data visualization.

JavaScript Library Overview (Ajax Exp West 2007)jeresig

This document summarizes and compares several popular JavaScript libraries: Dojo, Prototype, jQuery, Mootools, and YUI. It outlines the focus, key features, documentation/community support, file size, and popularity for each library. The libraries provide DOM manipulation, event handling, effects/animations, and Ajax capabilities with varying levels of features and complexity. jQuery is highlighted as having a small file size and strong popularity while providing core functionality.

Apresentação - Minicurso de Introdução a Python, Data Science e Machine LearningArthur Emanuel

This document provides an introduction to Python programming. It outlines the agenda which includes why Python, introductions, Hello World, variables, conditionals, loops, lists and dictionaries, and functions. It also discusses installing Python, libraries, IDEs and using Google Colab notebooks. The document provides references for further reading on topics like data science, NumPy, Pandas, Matplotlib, statistics, machine learning, and Scikit Learn.

Device系APIの全体図Kensaku Komatsu

This document discusses device APIs in HTML5 including geolocation, device orientation, and media capture. It notes several working groups at the W3C that are developing device API specifications, including the Geolocation WG, Device APIs WG, and Web Real-Time Communication WG. Key APIs being developed include Geolocation, Media Capture, and a stream API for real-time communication. Links to specifications and resources are provided.

Doug McCune - Using Open Source Flex and ActionScript ProjectsDoug McCune

The document summarizes Doug McCune's presentation on riding coattails to the top using open source Flex/ActionScript projects. It discusses finding popular open source projects on sites like Google Code and RIAForge, highlights some hot projects in areas like computer vision, sound, and mapping, and provides demos of projects like Adobe's Open Source Media Framework and the Axiis data visualization framework. It also addresses challenges of staying up to date in this rapidly evolving space.

Data Analytics using AI Tools for Analysis.pptxsjcdsdocs

Mobile Development at the App Lab (13 novembre 2013)Geeks Anonymes

This document summarizes the mobile development work of The AppLab, a group of 3 ULg students who develop apps for iOS and Android. It describes some of their past projects like ULgOloc and Francos 2.0 that helped them gain experience. It outlines their development process and tools used for both platforms, as well as how they manage app content and backend services. It discusses their goals to further develop their skills and create a real company, including upcoming projects like LetsGO for Chaudfontaine.

Mobile Development at the App Lab (13 novembre 2013)Interface ULg, LIEGE science park

- The AppLab is a mobile development company started by 3 ULg students focused on creating apps for the iOS and Android platforms. - They have created several successful apps including ULgOloc, a campus map app, and Francos, an event app, with thousands of downloads each. - The company operates in an unstructured way using online collaboration tools like Facebook and Google Hangouts. Developers work flexibly and focus on objectives. - The presentation highlighted their development process using Xcode and Eclipse, challenges with different platforms and versions, and how they manage app content and data through a cloud-based back office and API. - Looking forward, The AppLab wants to create more apps for new clients, improve

Kafka Streams VS Spark Structured Streaming - Modern Stream Processing Engin...Jacek Laskowski

DataMass Summit 2019 Edition --> http://summit.datamass.io There is quite a bit to learn about any stream processing engine. But at a reasonably high level they actually are very similar and have lots in common. Not only do all have to offer a high-level stream processing API to describe distributed streaming dataflows, but also a low-level API for more sophisticated streaming topologies. The engines translate the dataflow description into their internal runtime representation. That’s where the differences are and where we’ll be looking at. This talk compares two modern stream processing engines — Kafka Streams and Spark Structured Streaming. We’ll be talking about their internals and how the engines manage stateless and stateful streams. You will learn about their similarities and differences that should shed more light on the question when to use which engine.

Opening slides to Warsaw Scala FortyFives on Testing toolsJacek Laskowski

More Related Content

Similar to Functional web development with Git(Hub), Heroku and Clojure (20)

Data visualisation in python tool - a briefameermalik11

GOTO Paris | @see GopherJan Klat

Jetpack SDK: The new possibility of the extensions on browserlittlebtc

JavaScript Libraries (Ajax Exp 2006)jeresig

How and Why you can and should Participate in Open Source Projects (AMIS, Sof...Lucas Jellema

Hacking Saturday 2018-05 - flutterWan Leung Wong

Intro to GoClarence Bakirtzidis

So Easy, A Ten Year Old Can Do It by Zeph GardlerDocker, Inc.

Gophercon 2016 recapFrancesco Lazzarino

Creative Interactive Browser Visualizations with Bokeh by Bryan Van de venPyData

The Next Generation of Social is in a HangoutJonathan Beri

📍 StoryPath - Location Experience Platform.pptxwilliamjys

PyData London Bokeh Tutorial - Bryan Van de VenPyData

JavaScript Library Overview (Ajax Exp West 2007)jeresig

Apresentação - Minicurso de Introdução a Python, Data Science e Machine LearningArthur Emanuel

Device系APIの全体図Kensaku Komatsu

Doug McCune - Using Open Source Flex and ActionScript ProjectsDoug McCune

Data Analytics using AI Tools for Analysis.pptxsjcdsdocs

Mobile Development at the App Lab (13 novembre 2013)Geeks Anonymes

Mobile Development at the App Lab (13 novembre 2013)Interface ULg, LIEGE science park

Data visualisation in python tool - a briefameermalik11

GOTO Paris | @see GopherJan Klat

Jetpack SDK: The new possibility of the extensions on browserlittlebtc

JavaScript Libraries (Ajax Exp 2006)jeresig

How and Why you can and should Participate in Open Source Projects (AMIS, Sof...Lucas Jellema

Hacking Saturday 2018-05 - flutterWan Leung Wong

Intro to GoClarence Bakirtzidis

So Easy, A Ten Year Old Can Do It by Zeph GardlerDocker, Inc.

Gophercon 2016 recapFrancesco Lazzarino

Creative Interactive Browser Visualizations with Bokeh by Bryan Van de venPyData

The Next Generation of Social is in a HangoutJonathan Beri

📍 StoryPath - Location Experience Platform.pptxwilliamjys

PyData London Bokeh Tutorial - Bryan Van de VenPyData

JavaScript Library Overview (Ajax Exp West 2007)jeresig

Apresentação - Minicurso de Introdução a Python, Data Science e Machine LearningArthur Emanuel

Device系APIの全体図Kensaku Komatsu

Doug McCune - Using Open Source Flex and ActionScript ProjectsDoug McCune

Data Analytics using AI Tools for Analysis.pptxsjcdsdocs

Mobile Development at the App Lab (13 novembre 2013)Geeks Anonymes

Mobile Development at the App Lab (13 novembre 2013)Interface ULg, LIEGE science park

More from Jacek Laskowski (11)

Kafka Streams VS Spark Structured Streaming - Modern Stream Processing Engin...Jacek Laskowski

Opening slides to Warsaw Scala FortyFives on Testing toolsJacek Laskowski

#Be #social #FTW aka Your #Professional #Development with #StackOverflow #Git...Jacek Laskowski

StackOverflow, GitHub, twitter, reddit i Twój profesjonalny rozwójJacek Laskowski

Introduction to Web Application Development in ClojureJacek Laskowski

Introduction to Functional Programming in ScalaJacek Laskowski

This document introduces functional programming with Scala. It defines functional programming as treating computation as the evaluation of mathematical functions while avoiding state and mutable data. It then discusses Scala, describing it as a modern multi-paradigm language that integrates object-oriented and functional features. The document outlines key aspects of functional programming in Scala like defining functions as values, using expressions instead of statements, function types, the Scala REPL, core collections, and functional operations like map, filter and reduce.

Moje pierwsze kroki w programowaniu funkcyjnym w ScaliJacek Laskowski

Praktyczne wprowadzenie do OSGi i Enterprise OSGiJacek Laskowski

Developing modular applications with Java EE 6 and Enterprise OSGi + WebSpher...Jacek Laskowski

This document discusses developing modular Java applications using OSGi Blueprint and WebSphere Liberty Profile. It provides an overview of OSGi Blueprint, noting that it defines a dependency injection framework for OSGi bundles that understands services. The presentation discusses problems solved by OSGi Blueprint such as visibility of types and versioning. It also includes questions about the differences between Maven and OSGi Blueprint regarding build time versus runtime configuration.

Apache Tomcat + Java EE = Apache TomEEJacek Laskowski

(map Clojure everyday-tasks)Jacek Laskowski