Tmux and Vim – even better together

@tachyeonz : On their own, tmux and vim are both great tools; together, they’re even better. Recently, I wrote about a few benefits of using tmux. The benefits I discussed there are independent of one’s choice of text editor. But if you’re a vim user, the benefits of tmux reach even further.

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Writing a Time Series Database from Scratch

@tachyeonz : I work on monitoring. In particular on Prometheus, a monitoring system that includes a custom time series database, and its integration with Kubernetes. In many ways Kubernetes represents all the things Prometheus was designed for.

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Asynchronous Python

@tachyeonz : Asynchronous programming in python has become more and more popular lately. There are many different libraries in python for doing asynchronous programming. One of these libraries is asyncio, which is a python standard library added in Python 3.4.

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Asynchronous Python

@tachyeonz : Asynchronous programming in python has become more and more popular lately. There are many different libraries in python for doing asynchronous programming. One of these libraries is asyncio, which is a python standard library added in Python 3.4.

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Vanilla Recurrent Neural Networks

@tachyeonz : Most tutorial, deep learning blog posts that introduce recurrent neural networks (RNNs) use Long Short Term Memory (LSTM) cells in their examples.  This happens because training vanilla recurrent neural networks is more difficult, and the results are less impressive.

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Farmers Look For Ways To Circumvent Tractor Software Locks

@tachyeonz : A new tractor often costs hundreds of thousands of dollars, but one thing not included in that price is the right to repair it. That has put farmers on the front lines of a battle pitting consumers against the makers of all kinds of consumer goods, from tractors to refrigerators to smartphones.

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Try Deep Learning in Python now with a fully pre-configured VM

@tachyeonz : I love to write about face recognition, image recognition and all the other cool things you can build with machine learning. Whenever possible, I try to include code examples or even write libraries/APIs to make it as easy as possible for a developer to play around with these fun technologies.

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Try Deep Learning in Python now with a fully pre-configured VM

@tachyeonz : I love to write about face recognition, image recognition and all the other cool things you can build with machine learning. Whenever possible, I try to include code examples or even write libraries/APIs to make it as easy as possible for a developer to play around with these fun technologies.

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5 Reasons Why We switched from Python To Go

@tachyeonz : If you got the idea of this quote, then you probably tried or just looked around Go programming language. Which is I think easiest programming language that can fit in any kind of application development. Yes! you read that right, for me Go is easier to learn than even JavaScript.

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Personalized Aesthetics: Recording the Visual Mind using Machine Learning

@tachyeonz : Visual aesthetics are very personal, often subconscious, and hard to express.  In a world with an overload of photographic content, a lot of time and effort is spent manually curating photographs, and it’s often hard to separate the good images from the visual noise.

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A Gentle Intro To Graph Analytics With GraphFrames

@tachyeonz : Anyone steeped in the doctrine of relational databases will find that trying to use a graph database like Neo4J is painful and not at all intuitive. This is not your fault, or Neo4js fault, it’s just that graph traversal is nothing like SQL. When I say nothing, I literally mean nothing.

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Evolutionary Strategies: Almost Embarrassingly Parallel Optimization

@tachyeonz : The reason this paper is fascinating is that they use a relatively dumb, simple stochastic method of optimisation that shouldn’t really work well in practice, and show that it is actually competitive with SGD based on back-propagation in neural networks.

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