La Premier Intermediate League de Irlanda del Norte: Predicciones y Partidos del Próximo Día
La Premier Intermediate League de Irlanda del Norte se posiciona como uno de los campeonatos más emocionantes en el panorama futbolístico europeo, ofreciendo a los aficionados partidos llenos de emoción, talento y sorpresas. En esta publicación, exploraremos los encuentros programados para mañana, junto con nuestras expertas predicciones de apuestas que te ayudarán a tomar decisiones informadas. No te pierdas este análisis detallado que incluye estadísticas, tácticas y todo lo que necesitas saber sobre los equipos en acción.
Partidos Destacados del Día
El próximo día promete ser electrizante con varios partidos clave que definirán el rumbo de la liga. Aquí tienes un vistazo a los encuentros más esperados:
- Ballymena United vs. Newry City: Un duelo clásico entre dos equipos con historias ricas y ambiciones de ascender en la tabla.
- Ards vs. Larne: Conocido por su intensidad, este partido siempre garantiza acción desde el primer minuto.
- Cliftonville B vs. Warrenpoint Town: Un choque de titanes en el fútbol juvenil, con ambos equipos buscando demostrar su valía.
Análisis Táctico y Estadísticas
Cada equipo trae su propia estrategia al campo, y aquí te presentamos un análisis táctico y estadístico para ayudarte a entender mejor lo que podría suceder en estos partidos.
Ballymena United vs. Newry City
Ballymena United ha mostrado una sólida defensa esta temporada, concediendo solo un promedio de 0.8 goles por partido. Sin embargo, su ataque ha sido menos eficaz, marcando solo 1.2 goles por encuentro. Por otro lado, Newry City ha tenido dificultades defensivas pero ha sido más prolífico en ataque, con un promedio de 1.5 goles por partido.
Ards vs. Larne
Ards ha mantenido un equilibrio entre defensa y ataque, con un promedio de 1 gol a favor y contra por partido. Larne, conocido por su agresivo estilo ofensivo, ha marcado un promedio de 1.8 goles por partido, aunque su defensa ha sido vulnerable.
Cliftonville B vs. Warrenpoint Town
Cliftonville B ha demostrado ser un equipo joven pero prometedor, con una media de goles a favor de 1.3 por partido. Warrenpoint Town, aunque más experimentado, ha tenido una temporada irregular, marcando 1 gol por partido pero permitiendo también una media similar.
Predicciones de Apuestas: ¿Qué Esperar?
Basándonos en el análisis táctico y las estadísticas recientes, aquí están nuestras predicciones para los partidos del próximo día:
Ballymena United vs. Newry City
Predicción: Empate (X). Aunque Ballymena tiene una defensa sólida, es probable que Newry aproveche sus oportunidades ofensivas para igualar el marcador.
Ards vs. Larne
Predicción: Victoria para Larne (1). Con su potente ataque, Larne tiene la ventaja para superar la defensa de Ards.
Cliftonville B vs. Warrenpoint Town
Predicción: Victoria para Cliftonville B (2). La juventud y energía de Cliftonville podrían ser suficientes para superar a Warrenpoint.
Claves para Ganar: Estrategias y Consejos
- Evaluación del Rendimiento Reciente: Analiza los últimos cinco partidos de cada equipo para identificar tendencias en rendimiento.
- Incidencias en el Equipo: Ten en cuenta lesiones o sanciones que puedan afectar la alineación inicial.
- Condiciones del Campo: Considera cómo las condiciones climáticas pueden influir en el juego.
- Tácticas Defensivas vs Ofensivas: Evalúa si un equipo tiende a adoptar un enfoque más conservador o agresivo.
- Historial Contra: Revisa cómo han jugado estos equipos entre sí en el pasado.
Historias Detrás de los Equipos
Ballymena United: La Resiliencia como Filosofía
<|repo_name|>miguelangel93/miguelangel93.github.io<|file_sep|>/_posts/2020-07-24-cumulus.md
---
layout: post
title: Cumulus
date: '2020-07-24'
tags:
- cumulus
- home automation
---
I'm back with another one of my projects! This time it's about [Cumulus](https://github.com/miguelangel93/cumulus) - an MQTT to Home Assistant bridge for Cumulocity IoT.
# What is it?
Cumulus is an MQTT to Home Assistant bridge for Cumulocity IoT.
It is designed to run on your local machine or in the cloud and is intended to be used as part of your Home Assistant installation.
# Why did I make it?
When I started using Home Assistant I realised that my [Cumulocity IoT](https://www.cumulocity.com/) account was missing from my house control panel.
I wanted to have the ability to control my IoT devices from Home Assistant and automate some tasks around them.
To achieve this I needed to connect my Cumulocity account with Home Assistant and that's where the idea of Cumulus was born!
# How does it work?
The idea behind Cumulus is to connect Home Assistant to your Cumulocity account using MQTT as the middleman.
Cumulus connects to your Cumulocity account using the [Cumulocity API](https://cumulocity.com/guides/reference/api/) and then listens for changes in your devices and sends them over MQTT.
When it receives an MQTT message it updates the corresponding device in Cumulocity.
# What can I do with it?
There are several things you can do with Cumulus:
* Control your Cumulocity IoT devices from Home Assistant
* Automate tasks around your Cumulocity IoT devices using Home Assistant automations
* Monitor your Cumulocity IoT devices from Home Assistant
# How do I use it?
To use Cumulus you need to:
* Install [Home Assistant](https://www.home-assistant.io/)
* Install [Cumulus](https://github.com/miguelangel93/cumulus)
* Configure Cumulus to connect to your Cumulocity account
* Configure Home Assistant to connect to Cumulus
# Conclusion
Cumulus is a great tool for anyone who wants to control their Cumulocity IoT devices from Home Assistant or automate tasks around them.
It's easy to set up and use and has many features that make it a must-have for any smart home enthusiast.
<|file_sep|>---
layout: post
title: Getting started with AWS CDK for Python
date: '2020-06-17'
tags:
- aws
- aws-cdk
- python
---
Recently I've been playing with [AWS CDK](https://aws.amazon.com/cdk/) and I've found it very interesting! So today I wanted to share with you how you can get started with AWS CDK for Python.
## What is AWS CDK?
AWS CDK (Cloud Development Kit) is an open-source software development framework for defining cloud infrastructure in code and provisioning it through AWS CloudFormation.
It allows developers to define their infrastructure using familiar programming languages such as JavaScript, TypeScript, Python, Java and C#.
## Why use AWS CDK?
There are several reasons why you might want to use AWS CDK:
* It allows you to define your infrastructure in code which makes it easier to version control and share with others.
* It provides a higher level of abstraction than CloudFormation which makes it easier to reason about your infrastructure.
* It allows you to use familiar programming languages which makes it easier for developers to get started with AWS.
## Getting started
To get started with AWS CDK for Python you'll need to install the AWS CDK CLI and Python.
### Installing the AWS CDK CLI
The easiest way to install the AWS CDK CLI is by using npm:
bash
npm install -g aws-cdk
### Installing Python
If you don't have Python installed on your machine you can download it from [here](https://www.python.org/downloads/).
### Creating a new project
Once you have the AWS CDK CLI and Python installed you can create a new project by running:
bash
cdk init app --language=python
This will create a new directory called `my-cdk-app` containing the following files:
* `app.py` - The entry point for your application.
* `cdk.json` - The configuration file for the AWS CDK CLI.
* `requirements.txt` - The list of dependencies for your application.
* `setup.py` - The setup script for your application.
### Adding dependencies
To add dependencies to your project you can simply add them to the `requirements.txt` file.
For example, if you want to add the `boto3` library (the official AWS SDK for Python) you would add the following line:
boto3==1.16.39
### Defining your infrastructure
Now that we have our project set up let's define some infrastructure!
In this example we'll create an S3 bucket and a Lambda function that gets triggered when a new object is added to the bucket.
First we need to import the necessary modules:
python
from aws_cdk import core as cdk
from aws_cdk import aws_s3 as s3
from aws_cdk import aws_lambda as lambda_
Next we'll define our stack:
python
class MyCdkStack(cdk.Stack):
def __init__(self, scope: cdk.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
# Create an S3 bucket
bucket = s3.Bucket(self,
"my-bucket",
versioned=True,
removal_policy=cdk.RemovalPolicy.DESTROY)
# Create a Lambda function
lambda_function = lambda_.Function(self,
"my-lambda-function",
runtime=lambda_.Runtime.PYTHON_3_8,
handler="index.handler",
code=lambda_.Code.asset("lambda"))
# Grant the Lambda function permissions to read from the S3 bucket
bucket.grant_read(lambda_function)
# Add an event source mapping between the S3 bucket and the Lambda function
lambda_.EventSourceMapping(self,
"my-event-source-mapping",
event_source_arn=bucket.bucket_arn,
function=lambda_function)
Finally we'll define our app:
python
app = cdk.App()
MyCdkStack(app, "MyCdkStack")
app.synth()
That's it! You now have an S3 bucket and a Lambda function defined in code!
## Deploying your infrastructure
To deploy your infrastructure simply run:
bash
cdk deploy MyCdkStack
This will provision all of the resources defined in your stack using CloudFormation.
## Conclusion
AWS CDK is a great tool for defining cloud infrastructure in code and provisioning it through AWS CloudFormation.
It allows developers to use familiar programming languages such as JavaScript, TypeScript, Python, Java and C# which makes it easier for them to get started with AWS.
If you're interested in learning more about AWS CDK I highly recommend checking out their [documentation](https://docs.aws.amazon.com/cdk/latest/guide/home.html).
<|repo_name|>miguelangel93/miguelangel93.github.io<|file_sep|>/_posts/2019-10-01-packetloss.md
---
layout: post
title: Packetloss detector with Raspberry Pi Zero W & RTL2832U DVB-T dongle + rtl-sdr
date: '2019-10-01'
tags:
- packetloss-detector-with-raspberry-pi-zero-w-&-rtl2832u-dvb-t-dongle--rtl-sdr-
---
For those who don't know me already... Hi there! My name is Miguel Angel Martinez Varela and this is my first post here on Dev.to!
I've been working in technology for almost five years now but only recently started getting into electronics and DIY projects so this should be interesting! :D
In this post I'll be showing you how I built my own packet loss detector using Raspberry Pi Zero W & RTL2832U DVB-T dongle + rtl-sdr!
Before we start let's take a look at what we're going to build:
Pretty cool right? :D
Let's get started!
## Hardware Requirements:
* Raspberry Pi Zero W (or any other model)
* RTL2832U DVB-T dongle + rtl-sdr ([you can find one here](https://www.rtl-sdr.com/rtl-sdr-eur-dvb-t-diseqc-hdmi-tuner-audio-video-adapter/))
* USB power supply (I used this one: [here](https://www.amazon.co.uk/gp/product/B00OYB7A5E/ref=ppx_yo_dt_b_asin_title_o00_s00?ie=UTF8&psc=1))
* USB cable (I used this one: [here](https://www.amazon.co.uk/gp/product/B00QNNMNE6/ref=ppx_yo_dt_b_asin_title_o00_s00?ie=UTF8&psc=1))
* Ethernet cable (I used this one: [here](https://www.amazon.co.uk/gp/product/B07B9GJDLH/ref=ppx_yo_dt_b_asin_title_o00_s00?ie=UTF8&psc=1))
* Optional - case ([you can find one here](https://www.amazon.co.uk/gp/product/B01N9ISY7M/ref=ppx_yo_dt_b_asin_title_o03_s00?ie=UTF8&psc=1))
## Software Requirements:
* Raspberry Pi OS Lite ([you can download it here](https://www.raspberrypi.org/downloads/raspberry-pi-os/))
* Raspbian Buster Lite ([you can download it here](https://www.raspberrypi.org/downloads/raspbian/))
* rtl-sdr ([you can install it here](http://sdr.osmocom.org/trac/wiki/rtl-sdr))
## Steps:
### Step One - Setting up Raspberry Pi OS Lite:
First thing we need to do is install Raspberry Pi OS Lite onto our SD card so let's do that now!
Follow these steps:
1. Download Raspberry Pi Imager from [here](https://www.raspberrypi.org/downloads/)
2. Insert SD card into computer and open Raspberry Pi Imager
3. Select "Raspberry Pi OS Lite" as operating system
4. Select SD card
5. Click "Write"
That's it! Your SD card should now be ready for use!
### Step Two - Setting up Raspbian Buster Lite:
Now that we have our SD card ready let's set up Raspbian Buster Lite!
Follow these steps:
1. Insert SD card into Raspberry Pi
2. Connect power supply
3. Connect Ethernet cable
4. Open terminal on computer
5. Type `ssh [email protected]`
6. Enter password when prompted (default password is "raspberry")
7. Type `sudo raspi-config`
8. Select "Change User Password"
9. Enter new password twice when prompted
10. Select "Finish"
That's it! We now have Raspbian Buster Lite set up on our Raspberry Pi!
### Step Three - Installing rtl-sdr:
Now that we have Raspbian Buster Lite set up let's install rtl-sdr!
Follow these steps:
1.Open terminal on computer
2.Type `ssh [email protected]`
3.Enter password when prompted
4.Type `sudo apt-get update`
5.Type `sudo apt-get upgrade`
6.Type `sudo apt-get install git build-essential libusb-dev librtlsdr-dev cmake pkg-config python-dev python-pip python-setuptools`
7.Type `git clone https://github.com/osmocom/rtl-sdr.git`
8.Type `cd rtl-sdr`
9.Type `mkdir build && cd build`
10.Type `cmake ../`
11.Type `make && sudo make install && sudo ldconfig`
12.Type `sudo usermod -a -G radio pi`
13.Type `sudo reboot`
That's it! We now have rtl-sdr installed on our Raspberry Pi!
### Step Four - Connecting RTL2832U DVB-T dongle + rtl-sdr:
Now that we have rtl-sdr installed let's connect our RTL2832U DVB-T dongle + rtl-sdr!
Follow these steps:
1.Connect RTL2832U DVB-T dongle + rtl-sdr into USB port on
