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Showing posts from August, 2017

Defect Driven Development - is not TDD with a twist

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Defect Driven Development (3D) Deliver enhanced quality product with less testing effort By Wasim Haque We are living in that time of the world where there are so many product

Machine Learning - Tensor-flow used for detecting bats! Wow

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Roland Meertens an AI developer detected bats and ended up using Tensor flow :


jupyter notebookLabeling sound data - librosa libraryLoading sound data with Python Visualizing sounds with LibrosaMachine learning model - TensorFlow Github - https://github.com/rmeertens/batdetection
Detecting bats by recognising their sound with Tensorflow Last week I discovered that there are bats behind my appartment. I immediately grabbed my "bat detector": a device that converts the ultrasound signals bats use to echolocate from an inaudible frequency range to an audible one. The name "bat detector" thus is a lie: you can use it to detect bats, but it does not detect bats itself.

GraphQL represents a giant leap forward in the world of APIs - From REST to GraphQL

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"As a significant departure from the REST API, GraphQL requires some not-so-subtle shifts in the way we think about consuming and altering data."  - Mark,Matt Platform engineers GitHub

Issues with REST: REST APIs are designed to interact with one specific end point at a time. For example, you can get a list of all your issues on GitHub, but you can’t get a list of issues and the comments on those issues at the same time. This means you often need to make more than one “request” to the API to get the exact information you need.
REST API results are determined by the API developer, and they want to make sure you have everything you could possibly want. This often means you are getting way more information than you intend to use. GraphQL is a more flexible query structure, which allows you to request information based on connections across traditional data points. Running Your First GraphQL QueryNavigate to the GraphQL explorer. Once the page has loaded, click the “Sign in with …

Cheatsheet - REST Architecture

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Machine Learning being used in Oz

Sydney to test driverless shuttle AUSTRALIA: A two-year trial of a driverless shuttle is due to begin later this month at Sydney Olympic Park, the New South Wales government announced on August 2. Testing of a driverless shuttle supplied by Navya will shortly begin on an enclosed pre-programmed route at Newington Armory.

Awesome Teams @ Google

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re:Work - The five keys to a successful Google team Pod. Work group. Committee. Autonomous collective. Whatever you call it, you're part of one at Google and probably wherever you work: a team. So if we know what makes managers great, why don't we know what makes a team great?

Turn the Ship Around - Testing Insights

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El control, según descubrimos, solo funciona con una mano de obra competente y que entiende el objetivo de la organización 
Control, we find, only works with a competent workforce and understands the purpose of the organization
If you have not read this book I would highly recommend you to do so. It's a real life story about the U.S. Navy Submarine Commander "David Marquet" and his leadership ideologies in the Los Angeles-class fast attack submarine USS Santa Fe (SSN 763).
Before you dwell further here is a good read : Turn The Ship Around – A View Into Agile Leadership
Here is a quick video from the man himself:


and a very interesting white boarding on similar principles:

Some quick snippets:
My favorite: “One of the things that limits our learning is our belief that we already know something.” 
“Don’t move information to authority, move authority to the information.” 
“Empowerment programs appeared to be a reaction to the fact that we had actively disempowered people.” 
“L…

Cheatsheet from Java to C# to Swift to VS2017

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