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Camille Fournier on the Software and Data Science Behind Rent the Runway
Camille Fournier explains how Rent the Runway uses software and data science to handle a massive shipping and warehouse operation, modelling inventory life cycles, optimising shipping and much more.
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Gabriel Grant on stack.io. Node.js and Django
Gabriel talks about the challenges of working on a system like stack.io. He also compares server-side JavaScript systems like Node.js and Python's Django, in how they deal with performance, speed of development, etc.
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Damian Conway on the State of Perl, Perl 6, Writing Parsers and DSLs
Damian Conway explains where Perl 5.x is used today and why (hint: the CPAN library repository), and what Perl 6 offers: modern OOP, an optional type system, libraries for parallelism and concurrency, and very powerful built-in tools for parsing including extensible grammars.
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Steve Vinoski and Bob Ippolito on Async I/O in Python and Node.js, Web Development in Erlang
Steve Vinoski and Bob Ippolito discuss web development with MochiWeb and Yaws and extending Erlang with native code. Also: async I/O in Python and Node.js vs Erlang.
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Bob Ippolito on Erlang and MochiWeb
Bob Ippolito talks about building web services with the Erlang-based MochiWeb and the differences to the Yaws web server, the strengths of Erlang and Python, and more.
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Ville Tuulos on Big Data and Map/Reduce in Erlang and Python with Disco
Ville Tuulos talks about Disco, the Map/Reduce framework for Python and Erlang, real-world data mining with Python, the advantages of Erlang for distributed and fault tolerant software, and more.
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What’s Next for jclouds?
Adrian Cole discusses his jclouds project, which is an open source library that helps Java developers get started in the cloud and reuse their Java development skills. Cole also talks about some of the challenges of creating a cloud agnostic library, such as the use of different hypervisors and that various cloud implementations are written in different languages, such as VB, Python, Ruby, etc.
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Brad Abrams on Google, Spring Tools Integration
In this interview Google tools honcho from Brad Abrams talks about how Google tools integrate with Spring tools to help make Java developers’ lives easier. Abrams discusses Google’s reasons for targeting the popular Spring Framework. He also delves into the integrations between Google App Engine, Google Web Toolkit (GWT) and Speed Tracer with Spring tools such as Roo, STS, Spring Insight and more.
