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38:12
JavaScript Follow 119 Followers

Avoiding React Performance Pitfalls

Posted by Alex Grigoryan  on  Aug 19, 2017 Posted by Alex Grigoryan Follow 1 Followers  on  Aug 19, 2017

Alex Grigoryan discusses the performance problems found and their solutions moving from Backbone/Java to React/Node.js at @WalmartLabs.

32:47
JavaScript Follow 119 Followers

Billions of Events Per Day with Elixir

Posted by Danni Friedland  on  Aug 04, 2017 Posted by Danni Friedland Follow 0 Followers  on  Aug 04, 2017

Danni Friedland shares insights Node.js and JavaScript developers need to know before deciding to jump into the Elixir boat.

49:03
Development Follow 146 Followers

Parasitic Programming Languages

Posted by David Nolen  on  Jun 30, 2017 Posted by David Nolen Follow 1 Followers  on  Jun 30, 2017

David Nolen examines the benefits and tradeoffs associated with creating a language based on an existing runtime, with a special focus on the Clojure and ClojureScript projects.

51:50
JavaScript Follow 119 Followers

Ember and the State of Web Frameworks

Posted by Yehuda Katz  on  Jun 16, 2017 Posted by Yehuda Katz Follow  Followers  on  Jun 16, 2017

Yehuda Katz discusses the big changes on the web in the past five years and how they affected Ember, plus Ember’s latest project Glimmer, which allows using Ember’s view layer standalone.

52:41
Architecture & Design Follow 619 Followers

A Practical Road to SaaS in Python

Posted by Armin Ronacher  on  May 31, 2017 Posted by Armin Ronacher Follow 0 Followers  on  May 31, 2017

Armin Ronacher discusses his experiences building SaaS businesses on a Python technology stack from a security and scalability point of view, and what other technologies work well with Python.

52:53
Development Follow 146 Followers

Full-Scale Elm in Production

Posted by Richard Feldman  on  May 11, 2017 Posted by Richard Feldman Follow 1 Followers  on  May 11, 2017

Richard Feldman introduces Elm, how it works, what differentiates it from the other front-end technologies, and gives practical advice for introducing it to an existing JavaScript codebase.

45:15
JavaScript Follow 119 Followers

The Hitchhiker's Guide to Serverless JavaScript

Posted by Steve Faulkner  on  May 11, 2017 Posted by Steve Faulkner Follow 0 Followers  on  May 11, 2017

Steve Faulkner discusses Bustle's entire serverless stack. He talks about the good, the bad, and the ugly, sharing real numbers from production systems.

36:01
Web API Follow 115 Followers

Building Hypermedia Clients

Posted by Todd Brackley  on  Apr 23, 2017 Posted by Todd Brackley Follow 0 Followers  on  Apr 23, 2017

Todd Brackley demonstrates provisioning a network of data through a JavaScript client to show that there is no magic and talks through some of the major design issues.

48:49
Data Science Follow 277 Followers

Building Data Pipelines in Python

Posted by Marco Bonzanini  on  Mar 28, 2017 Posted by Marco Bonzanini Follow 0 Followers  on  Mar 28, 2017

Marco Bonzanini discusses the process of building data pipelines and all the steps necessary to prepare data, focusing on data plumbing and going from prototype to production.

31:58
Culture & Methods Follow 176 Followers

Data Driven Products Now!

Posted by Dan McKinley  on  Mar 11, 2017 Posted by Dan McKinley Follow 0 Followers  on  Mar 11, 2017

Dan McKinley discusses how Etsy is using data to validate their ideas and prototypes, turning some into real products.

41:17
Architecture & Design Follow 619 Followers

Build to Learn: Rapid Prototyping Methods

Posted by Sara Bayless Da Costa  on  Mar 01, 2017 Posted by Sara Bayless Da Costa Follow 0 Followers  on  Mar 01, 2017

Sara Bayless da Costa discusses several prototyping methods helping to learn about product, gather quality feedback, and get the best version of a product out there as quickly as possible.

32:49
Data Science Follow 277 Followers

Machine Learning and End-to-End Data Analysis Processes in Spark Using Python and R

Posted by Debraj GuhaThakurta  on  Feb 05, 2017 Posted by Debraj GuhaThakurta Follow 0 Followers  on  Feb 05, 2017

Debraj GuhaThakurta discusses ML and data analysis processes in Spark using examples written in Python and R.

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