Tag Python

Scala at Duolingo with Andre Kenji Horie

http://traffic.libsyn.com/sedaily/ScalaatDuolingo.mp3Podcast: Play in new window | Download Duolingo is a language learning platform with over 200 million users. On a daily basis millions of users receive customized language lessons targeted specifically to them. These lessons are generated by a system called the session generator.   Andre Kenji Horie is senior engineer at Duolingo. He wrote about the process of rewriting the session generator, moving from Python to Scala and changing

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Blockchain Building with Daniel van Flymen

http://traffic.libsyn.com/sedaily/BuildaBlockchain.mp3Podcast: Play in new window | Download A blockchain is a data structure that provides decentralized, peer-to-peer data distribution. Bitcoin is the most well-known blockchain, but in the next decade we will see many more blockchains. Most listeners probably know that you could just fork the code of Bitcoin to start your own blockchain–but wouldn’t it be nice to know how to build a blockchain from scratch? Daniel van Flymen

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Scikit-learn with Andreas Mueller

http://traffic.libsyn.com/sedaily/scikit_learn-edited.mp3Podcast: Play in new window | Download Scikit-learn is a set of machine learning tools in Python that provides easy-to-use interfaces for building predictive models. In a previous episode with Per Harald Borgen about Machine Learning For Sales, he illustrated how easy it is to get up and running and productive with scikit-learn, even if you are not a machine learning expert. Srini Kadamati hosts today’s show and interviews Andreas

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Is Scala a better choice than Python for Apache Spark?

From Marcin Mejran’s answer via Quora: If you mean the API then it depends. First of all, performance won’t most likely matter since it’s almost all Scala under the hood for Spark and you can always use more machines to make up for anything else. Learning curves can be overcome and Spark’s Scala API is rather simple. Ease of use is a toss up honestly and probably the key point to

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Python Scientific Libraries vs. MATLAB

From Chris Riederer’s answer via Quora: I first learned to program using MATLAB. Now, as a computer science Ph.D. student, I try to use Python for everything. (For the rest of this post, I’m going to say “SciPy” to collectively refer to NumPy, Matplotlib, and SciPy.) MATLAB and SciPy both seem to be particularly good at: Rapid prototyping Research code Large numerical or matrix computations Data analysis The main differentiators are: Use

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Matplotlib with Ben Root

“My eyes just roll whenever I see a table just full of numbers – they don’t mean anything to me, I don’t immediately grok it. But if I see a line plot, I get it, right away.”

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Deep Learning and Keras with François Chollet

“I definitely think we can try to abstract away the first principles of intelligence and then try to go from these principles to an intelligent machine that might look nothing like the brain.”

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Django with Frank Wiles

“Don’t be so rigid in your methodologies and beliefs and whatever ecosystem you’re in. Everybody’s gotta be a little bit flexible because that rigidity doesn’t work. The only thing that we do as technologists that is rigid is that the compiler isn’t going to take a syntax error.”

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Learning Rails with Michael Hartl

“It really seemed like Rails just put everything together, so I thought well let’s give this thing a try, and I liked it.”

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