#Podcast – Hablando de #Azure Notebooks con Rodrigo (@rdiazconcha) en Interfaz (podcast en Español)

Photo by Tommy Lopez on Pexels.com


Pues resulta que he tenido la suerte de participar, una vez más, en Interfaz: el podcast que dirige y coordina mi amigo Rodrigo Diaz Concha (link). En esta oportunidad, he hablado de uno de los productos en Preview que tenemos en Azure: Azure Notebooks.

Este producto suena raro para un .Net Developers, sin embargo, la potencia, productividad y capacidades de colaboración que proveen las Jupyter notebooks, son algo que la comunidad de Python aprovecha desde hace tiempo.

Mejor dejo el link del podcast y espero que lo disfruten:

Interfaz Podcast Episodio 113 – Azure Notebooks con Bruno Capuano

Saludos @ Toronto

El Bruno


#Personal – Amazing surprises managing the internet traffic at home #RaspberryPi #PiHole #Windows10

Hi !

A couple of days ago, my friend Luca (@lucavgobbi) told me about PiHole: A Network-wide Ad Blocking. Even better, let me copy the official description from their GitHub repo:

The Pi-hole® is a DNS sinkhole that protects your devices from unwanted content, without installing any client-side software.

Easy-to-install: our versatile installer walks you through the process, and takes less than ten minutes

Resolute: content is blocked in non-browser locations, such as ad-laden mobile apps and smart TVs

Responsive: seamlessly speeds up the feel of everyday browsing by caching DNS queries

Lightweight: runs smoothly with minimal hardware and software requirements

Robust: a command line interface that is quality assured for interoperability

Insightful: a beautiful responsive Web Interface dashboard to view and control your Pi-hole

Versatile: can optionally function as a DHCP server, ensuring all your devices are protected automatically

Scalable: capable of handling hundreds of millions of queries when installed on server-grade hardware

Modern: blocks ads over both IPv4 and IPv6

Free: open source software which helps ensure you are the sole person in control of your privacy

I setup this in an extra Raspberry Pi 3 that I have at home, and keep it running for the last couple of days. I was in shock when I realized that aprox 30% of my internet traffic is … not so good.

PiHole dashboard

One of the cool features of PiHole, os that you can work with their logs. So I decided to apply some very powerful Machine Learning algorithms to detects anomalies and strange behaviors.

In the meantime, I decided to read the logs, and make some filters just using Excel. And I found a lot of very strange urls. Today I’ll share some of the Microsoft ones.

So, in example, do you know what does this set of urls have in common?

  • location-inference-westus.cloudapp.net
  • licensing.mp.microsoft.com
  • watson.telemetry.microsoft.com

They are all Microsoft endpoints ! It seems that Windows 10 is sending a lot of diagnostic and other type of data. Lucky for us, most of this endpoints are well explained for each one of the Windows 10 versions. So, in example, I don’t use a lot of UWP apps, and it seems to me that the localization service does not need to send a lot of information, from a FIXED PC.

I decided to add some of this domains to the blacklist of domains and so far, so good. Windows is still working amazing, I enabled some of the urls so I can use also Visual Studio and Azure DevOps, and my user experience is still the same (with 30% less of traffic!)

So, I may want to also write about some domains I found other chatty devices uses like my Amazon Alexa, my Roku, and more … maybe in the next post! And kudos to the PiHole team!

Happy Coding!

Greetings @ Burlington

El Bruno


#VSCode – Let’s do some #FaceRecognition with 20 lines in #Python (6/N)

Hi !

I’ll start with my posts

  1. Detecting Faces with 20 lines in Python
  2. Face Recognition with 20 lines in Python
  3. Detecting Facial Features with 20 lines in Python
  4. Facial Features and Face Recognition with 20 lines in Python
  5. Performance improvements with code

In my last post I share some lines of code which allowed me to run some of the face recognition demos 6 times faster. I added a Frames per Second (FPS) feature in my samples. Later, thinking about performance, I realize that I don’t need to work with a full HD picture (1920 x 1080), so I added some code to resize the photo before the face detection process.

However, while I was coding arond this solution I also realized that I may want to initialize my camera to start in a lower resolution. So, I searched online on how to do this with OpenCV and I found 3 beautiful lines of code.

open camera with opencv with lower resolution

So, I manage to improve my processing code from 20FPS to +30FPS … which is very good ! Later on this posts I’ll try to do some similar FPS tests on a smaller device and I’ll see and share how this works.

Happy Coding!

Greetings @ Burlington

El Bruno


#RaspberryPi – The amazing single command to install UI mods in #Raspbian Lite (yes, my memory need this …)

Installing Packages in Raspberry Pi lite!

Hi !

Quick post today. And a memory backup one. I just spend 30 minutes trying to install a desktop UI in a clean lite RaspberryPi install. And I missed and missed again the command.

The right command is

sudo apt install raspberrypi-ui-mods

And that’s it. Now is here, so I can search me and find the solution.

Context: I use the [Raspbian Buster Lite] distro for the Raspberry Pi. In 10 minutes I got the SSH enabled so I can perform most of my operations remotely from my computer.

Download Raspbian https://www.raspberrypi.org/downloads/raspbian/

Greetings @ Toronto

El Bruno

#RaspberryPi – Wow, the new #RaspberryPi4 is amazing !

Hi !

After an amazing weekend, where I split my time supporting 2 different hackathons, today big news is the announcement of the new Raspberry Pi 4.

Did you check the news?

  • 64-bit Quad-Core ARM Cortex-A72 processor, with a core clock speed of 1.5GHz
  • 1GB, 2GB or 4GB of RAM
  • 2 4K HDMI displays
  • USB 3
  • Bluetooth 5
  • starting price at $35
  • and much more !

I won’t get deep in details, I prefer to share some really good reviews, later i this post. Now is time to wait until the 4GB model is available in Canada and I’ll do some update on my Custom Vision docker and Machine Learning performance posts with the new device!

Detailed review!

Happy Coding!

Greetings @ Burlington

El Bruno

#Training – @_NetUniversity, excelentes cursos online de Azure, .Net, y más. Y en las próximas semanas terminaré uno de #MachineLearning para programadores .Net!


Hoy toca volver a escribir en Español, y es para presentar una plataforma excelente de aprendizaje:


Programación, bases de datos, .Net, JavaScript, Azure, Windows, Linux y más. En Net University te brindamos entrenamiento de alta calidad con profesionales experimentados, al mejor costo / beneficio que puedas encontrar.

Net University

Actualmente hay 3 cursos disponibles y estamos terminando varios más, incluido uno de Machine Learning para .Net developers, ¡que saldrá a la luz a final de Junio!

Mas información en este link

Saludos @ Burlington

El Bruno

#AI – MineRL, play #Minecraft to benefit science!

Hi !

I’ve write a couple of time about project Malmo and Minecraft, so if you like Minecraft and Artificial Intelligence, MineRL will make your day. Let’s start with some basis:

MineRL is a large-scale dataset on Minecraft of seven different tasks, which highlight a variety of research challenges including open-world multi-agent interactions, long-term planning, vision, control, navigation, and explicit and implicit subtask hierarchies.

There are 2 main ways to be involved with MineRL, entering the AI (DL) competition, or playing Minecraft (to create more source data to train and test models!)

In the play more, MineRL want to solve Minecraft using state-of-the-art Machine Learning! To do so, MineRL is creating one of the largest datasets of recorded human player data. The dataset includes a set of tasks which highlights many of the hardest problems in modern-day Reinforcement Learning: sparse rewards and hierarchical policies.

There is plenty of information and details on the main website, and as soon as I finish some of my current work and personal projects, I’ll for sure spend more time here!

More information http://minerl.io/about/

Happy coding!

Greetings @ Toronto

El Bruno

[Xamarin.Forms] Mejorar el rendimiento en el tiempo de arranque

Javier Suárez | Blog


Además de cuidar detalles como la funcionalidad o la apariencia visual de nuestra aplicación, nuestra aplicación debe funcionar correctamente bajo todas las condiciones en todos los dispositivos para la que sea lanzada.

Un punto importante a revisar siempre suele ser, el tiempo de arranque de la aplicación.

¿Conoces conceptos como AOT?, ¿fast renderers?. En este artículo vamos a repasar algunos conceptos que podemos aplicar para tener un impacto positivo en los tiempos de arranque de la aplicación.


Si defines la interfaz de usuario de la aplicación Xamarin.Forms con XAML tienes la opción de utilizar XamlCompilationOptions.

Cuenta con dos valores:


  • Acelera la carga de elementos visuales.
  • Reduce el tamaño del paquete.
  • La compilación (AOT) es más larga.


  • Valor por defecto para mantener retocompatibilidad con versiones antiguas de Xamarin.Forms.
  • No hay validación en tiempo de ejecución de XAML.

Ejemplo de uso:

[assembly: XamlCompilation(XamlCompilationOptions.Compile)]

La diferencia:

Rendimiento con…

View original post 414 more words

#Event – Toronto #InsiderDevTour on June 19

Hi !

The Insider Dev Tour is for developers interested in building Microsoft 365 experiences (Windows, Graph, Office, Teams) today, using the latest dev technologies, as well as for those who want a peek into the future. If you can read code, this is for you, regardless if you are a beginner, an expert, a student, or a hobbyist developer.

The morning keynote session will give you a demo and code-focused overview of the new developer technology emerging from Redmond. It’s the best of Microsoft Build for Microsoft 365 developers. We’ll cover Windows, Graph, Office, AI, and more so that you are up-to-date and able to make informed decisions when choosing from the latest technology for your next project.

This is a 100 percent developer-focused event.

The tour is an opportunity to connect directly with leads and engineers from Redmond, as well as regional industry leaders and the community of Microsoft MVPs and RDs. We’re excited to meet you in person! #InsiderDevTour

More information https://developer.microsoft.com/en-us/windows/campaigns/ca-toronto

Greetings @ Toronto

El Bruno

[Xamarin.Forms] Mejorar el rendimiento al trabajar con imágenes

Javier Suárez | Blog


El uso de imágenes en aplicaciones móviles es habitual. Es un elemento clave a la hora de conseguir buenos resultados visuales. Sin embargo, también suelen ser uno de los puntos clave que impactan en el rendimiento de la aplicación. Problemas como:

  • Alto consumo de memoria.
  • Bloqueo de la UI (carga de imágenes en el hilo de UI, etc).
  • Etc.

En este artículo, vamos a realizar comparaciones en el rendimiento del control Image de Xamarin.Forms entre diferentes versiones, así como una comparativa con FFImageLoading y GlideX.

Para realizar las comaparativas vamos a necesitar un ejemplo y algo de código para obtener información. Nuestro ejemplo va a ser una versión modificada del gran ejemplo realizado por Jonathan Peppers en Glidex.

El ejemplo

A la hora de medir, vamos a utilizar:


Para obtener la cantidad de bytes que se estan consumiendo.

Imágenes en Xamarin.Forms

El control Image de Xamarin.Forms permite…

View original post 667 more words