I’m a huge fan of home automation. I started studying the KNX standard more than a decade ago, and I wanted to automated everything in my home. One day.

In the last decade, we saw the apparition of lots of new standards, not just for lighting and heating, but also for everything else. Unfortunately, it’s rarely compatible with each other. I saw a few projects int he fast, and recently saw HomeAssistant in an article, and decided to try it.

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While I was reading an article on Google last Deep Learning achievement, I was reminded of a previous discussion with former colleagues about replacing reservoir simulations with neural networks. At the time, I dismissed the idea as ridiculous due to the complexity of the task and the requirement for the training.

But now, Google seems to have done it. Or have they?

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On my quest for a good Flask book, I saw this book from Tarek Ziade. We are more or less of the same generation, both from France and he wrote a far better introductory book to Python in French than mine. He also founded the French Python community (AFPY), so I always had a huge respect for the guy. And the book was appetizing.

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I’m thinking of writing a Web service for a project of mine. For this purpose, I wanted to learn Flask (and a bunch of other technologies), as Flask seems well established and well documented. This is a book from Packt that agglomerates 3 previously released books. One of the main questions is the relevance of them as the Flask API evolves.

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