Tag Bloggers

CodeNewbie with Saron Yitbarek

http://traffic.libsyn.com/sedaily/Codenewbie_Edited.mp3Podcast: Play in new window | Download “There are advantages in the newness of coding.” CodeNewbie is a community of programmers and people learning to code. There are so many people learning about software today, and CodeNewbie gives them a place to hang out, socialize, and become comfortable with the world of software. CodeNewbie has an excellent podcast, and if you like Software Engineering Daily you should check it out.

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10 Philosophies for Engineers

http://traffic.libsyn.com/sedaily/10_philosophies.mp3Podcast: Play in new window | DownloadFollowing the successful experiment of History of Hadoop, we are doing another Saturday experiment: an editorial podcast. Let us know your thoughts via Slack, Twitter, or email! Our podcast errs on the side of technical rigor. Whether the topic is distributed databases, microservices, Soylent, Uber, or Dwarf Fortress, we try to separate hype from substance, deferring the narrative to the guest. With that deference there is editorial

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Code Cartoons with Lin Clark

http://traffic.libsyn.com/sedaily/Codecartoons_Edited_2.mp3Podcast: Play in new window | Download “So much writing about tech is cheerleading – really being enthusiastic and throwing around words that don’t necessarily mean the things that people think they mean.” Lin Clark is today’s guest on Software Engineering Daily, and she joins Jeff to talk about Code Cartoons, a webcomic that explains Facebook’s open source projects like Flux and Relay with the same elegance and creativity as

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Designing for Drunk Users with Austin Knight

“Your product or your website should be so simple and so well designed that even a drunk person could use it.”

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The History of Hadoop

http://traffic.libsyn.com/sedaily/hadoop_history_edited.mp3Podcast: Play in new window | DownloadThis episode is different from the traditional interview format of Software Engineering Daily, and focuses on the history of Hadoop. Thanks to Marco Bonaci for allowing us to republish this in audio format. You can find the original post here: History of Hadoop If you like this podcast, check out Marko’s book Spark in Action (affiliate link benefits Marko). Spark in Action coupon code for 39%

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Mesosphere and Tech Journalism with Derrick Harris

“The business of technology and the technology of technology are kind of converging if you ask me. And there is definitely a space for some publications that don’t have decades of technical debt in the software space.”

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Distributed Systems with Alvaro Videla

“Every vendor will advertise that their system is better – that’s nice, I understand you need to sell your thing, but what am I gaining as a user and what am I sacrificing as a user by choosing your product?”

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Hanselminutes with Scott Hanselman

“You’ve listened to podcasts where you gotta fast forward 8-9 minutes in before the actual meat happens.”

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GeekWire Podcast with Software Engineering Daily

“I would say that the vast majority of people see programming more as a science. But to get the best work out of yourself, you have to be thinking from an artistic perspective. So it makes sense to make your north star, as an engineer, some sort of artistic goal.”

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Episode 100 with Pranay Mohan

“Software is this really unique field that is growing so rapidly that people are almost forced to specialize into one subdomain – and that kind of stratification is good for your job and for your employers, but it’s not necessarily good for you as an individual trying to grow in the field of software.”

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Free Code Camp with Quincy Larson

“Free Code Camp is my effort to correct the extremely inefficient and circuitous way I learned to code. I’m committing my career and the rest of my life towards making this process as efficient and painless as possible.”

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Applied Data Science with Edwin Chen

“A lot of data science teams – if you ask them what their ten most important questions are… a lot of people can’t even come up with those.”

Many companies find themselves drowning in data. The quantity of data matters far less than the right questions in the pursuit of actionable insights.

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