teleren/devto huggingface dataset:
Sharon Pardo Sarmiento gana los Premios Diamante Calidad Total en Administración de Propiedad Horizontal en Colombia
Published: 2024-02-08 17:24:55

En la ciudad de [Cartagena de Indias](https://despertarperu.com) se celebró el pasado 1 de diciembre la gala de premiación de los Premios Diamante organizados por Servilonjas, resultando como ganadora Sharon Pardo Sarmiento. El concurso evalúa anualmente la gestión realizada por los miles de participantes en cuanto a su gestión como Administradores de PH en el país tanto a nivel residencial, comercial o mixto. Las votaciones estuvieron a cargo de un selecto grupo de jurados ampliamente reconocidos en la propiedad horizontal de Colombia.

Los criterios de evaluación tomaron en cuenta desde la eficiencia en la administración, el cumplimiento de normativas legales, la satisfacción de los residentes y la implementación de mejoras y proyectos innovadores, principalmente.

"Los [Premios Diamante](https://diariodelpacifico.com) buscan reconocer y premiar a aquellos que han demostrado excelencia en su gestión. Los participantes que cumplan con los criterios establecidos recibirán una distinción especial por su destacada labor", manifestó el Gerente Administrativo de Servilonjas, Nelson Gómez.

Respecto a la ganadora tal como lo indicaron en su presentación durante la ceremonia, [Sharon Pardo Sarmiento](https://limaconfidencial.com) cuenta con una experiencia de más de 10 años como Administradora de Propiedad Horizontal donde ha aplicado sus amplios conocimientos en administración y gestión de propiedades tanto residenciales, comerciales y mixtas. Adicionalmente, es Instructora en programas de formación de PH, Conferencista e incluso creadora de contenidos para redes sociales sobre su campo de acción con miles de seguidores en Tiktok (@sharonpardoph), espacio digital en el cual enseña y sensibiliza a su comunidad virtual sobre recomendaciones de convivencia y las mejores prácticas en Propiedad Horizontal.

"Quiero expresar mi profundo agradecimiento por este honor de ser reconocida como la mejor administradora de propiedad horizontal en Colombia en los prestigiosos Premios Diamante organizados por Servilonjas. Este galardón no solo representa un logro personal, sino también el resultado del arduo trabajo y dedicación de un equipo excepcional que ha colaborado incansablemente para elevar los estándares de administración de propiedades horizontales", expresó Sharon Pardo al momento de recibir tan honroso galardón.

Gracias a tan importante premio Sharon Pardo se posiciona como la [Mejor Administradora de Propiedad Horizontal de Colombia](https://lavozdelima.com) según voces de los diferentes participantes del concurso, sino además de la comunidad en general del país, experta en dicho campo.
The evolution of Machine Learning: transforming and shaping generations
Published: 2024-02-08 17:17:57

As we are all aware of, we are living in a world of humans and machine, humans have been swotting and progressing from their past experiences since indefinite time period, on the other hand eras of machines and robots have just begun. In the modern times, these machines and robots are like they need to program before they follow our instructions in reality. However, the main question which peaks here is what if the machine start learning on their own and this is where machine learning come into picture. Machine learning lays the foundation of several futuristic technical advancements across the globe. In today’s world, we found ample examples where machine learning plays a pivotal role such as Tesla’s self-driving car or Apple Siri and many more. Machine learning is sub-divided into three categories – supervised learning, unsupervised learning and reinforcement. It’s just a subset of artificial intelligence, focuses upon redesigning the system, thereby allowing them to reconsider and make predictions based on some experience, which is data in case of machines.
Distinction between Machine learning, artificial intelligence and deep learning- 
Majority of the individuals across the globe think these three are same, however they are quite different in reality. AI is a broader concept, especially abled to carry our tasks in a smarter way, where machines can act like humans. Machine learning is based on the idea we should give machines freedom to access data and learn on themselves. Machines can not only find their optimal behaviour, but also adapt to changes all around the world by scaling up to massive data source. Furthermore, deep learning, is a subset of machine learning, where similar algorithms are used to deep dive to secure perfections. 
 One of the ways, where the machine learning is strained using a labelled or unlabelled training data set to produce a model, new input data is introduced to machine learning algorithm, which makes prediction based on the model. The prediction is evaluated on the basis of accuracy and if accuracy is acceptable, then machine learning algorithm is deployed or else the process of straining goes on repeatedly, till the expected result is achieved.  
In today’s tech savvy world, we are surrounded with different categories of data, whether we are going to a departmental store or buying something online, algorithm is used to analyse the data and interpret future predictions. Machine learning provides valuable insights for making predictions by analysing and processing the data. They provide valuable insights for predicting market trends, identifying health risks and supporting informed choices.
Cogno-Cravings desvela una solución innovadora para los antojos y el estrés navideños
Published: 2024-02-08 17:17:24

Este enfoque revolucionario se basa en la ciencia cognitiva avanzada y ofrece un método único para eliminar los antojos poco saludables, un reto habitual durante el festivo pero a menudo estresante periodo navideño.

Las fiestas navideñas, aunque alegres, suelen desencadenar problemas de salud relacionados con el estrés. Una importante estadística de la Alianza Nacional de Enfermedades Mentales destaca que el 64% de las personas sufren depresión navideña, agravada por el estrés económico, emocional y físico. [CognoCravings](https://despertarperu.com) aborda estos retos ofreciendo un método innovador para contrarrestar los efectos del estrés navideño sobre la salud.

Desarrollado por [Bill McKenna](https://diariodelpacifico.com) y Liz Larson, CognoCravings exige a los participantes que realicen movimientos corporales específicos mientras imaginan el disfrute de lo que desean. Este proceso, que sólo dura 20 minutos, reduce drásticamente los antojos. Bill McKenna explica: "No se trata de fuerza de voluntad; se trata de recablear el deseo que impulsa los antojos". Este método innovador reprograma eficazmente el sistema nervioso, pasando de las respuestas de ansia al simple desinterés.

El éxito del programa queda patente en numerosos testimonios. Jon, que luchó durante 20 años contra un antojo de [Pepsi Max](https://limaconfidencial.com), atribuye su nueva energía y vitalidad a CognoCravings. Del mismo modo, la historia de Coral revela el impacto positivo del programa en la dinámica familiar y la salud personal. Otros testimonios son el de [Rebecca](https://lavozdelima.com), que dejó de morderse las uñas, y el de Karen, que puso freno a sus ansias de chocolate. Ambas experimentaron un aumento de su autoestima y una mejora de sus relaciones interpersonales.

Los beneficios de CognoCravings van más allá de la reducción de los antojos. Los participantes han informado de una mejora del bienestar emocional, un aumento de los niveles de energía y una mejora de las relaciones interpersonales, todo lo cual contribuye a unas fiestas más sanas y agradables.

CognoCravings ya está disponible en Cognocravings.com , con el incentivo añadido de recibir la Bola Cognomovement, una herramienta diseñada para amplificar el viaje hacia el bienestar. Para más información, Cognocravings.com y Cognomovement.com.

CognoCravings es algo más que un programa: es un movimiento para ayudar a las personas a convertirse en la mejor versión de sí mismas, especialmente durante las difíciles fiestas navideñas.
El nuevo Dongfeng Shine llega a Arabia Saudita aumentando la influencia internacional de la marca
Published: 2024-02-08 17:15:14

[Zhang Jian](https://despertarperu.com), director del departamento de marketing en el extranjero de vehículos de pasajeros de Dongfeng para la Región de Medio Oriente, dijo: "El diseño del nuevo Shine es suficiente para satisfacer las expectativas de los enérgicos jóvenes, y se convertirá en un líder en vehículos deportivos".

Frente a los medios de comunicación y los invitados presentes, se realizó el debut de los nuevos modelos que muestran la fuerza técnica y el diseño de Dongfeng Motor. La nueva apariencia de SHINE es más vanguardista, sus llantas deportivas y pinzas de colores realzan su estilo deportivo. El interior adopta un diseño de doble color, la gran pantalla de control central es de 13 pulgadas y el asiento deportivo de cuero integrado, en el que también se incluye logotipo de la marca resaltan su atmósfera deportiva.

En términos de potencia, el nuevo [Shine](https://diariodelpacifico.com) combina la potencia Mach 1.5T + potencia Gertrak DCT gold, con una potencia máxima de 145 kW y un torque máximo de 300 Nm. Está equipado con una imagen panorámica de 540° y el sistema de conducción asistida inteligente BSD/DOW/RCTA en comparación con los productos de la competencia.

[Albert Venter](https://lavozdelima.com), director de Universal Motors Agency, tiene plena confianza en este automóvil: "Creemos que el nuevo Shine será popular en el mercado saudí y abrirá un mundo nuevo".

Durante el evento, más de 100 invitados participaron en la prueba de manejo en la autopista costera [Jeddah Al-Hamra Corniche](https://limaconfidencial.com) y experimentaron el "ADN de carreras" y la "potencia Mach" de la nueva gama de vehículos.

Shine seguirá ampliando su escala de expansión en el extranjero. En el futuro, planea ingresar a los mercados de Medio Oriente, como Omán y los Emiratos Árabes Unidos, moldeando activamente la influencia de la marca China en el extranjero y mostrando la fuerza en ascenso de la marca China a más usuarios extranjeros.
Machine Learning
Tags: beginners, career, learning, machinelearning
Published: 2024-02-08 17:06:20

The world of machine learning and artificial intelligence can be enriching and intimidating at the same time with almost every 3rd article you read about these topics claiming how advancements in machine learning and AI would be conducive to the destruction of humanity-"These machines will steal our jobs and render us all unemployed, they will take over the world once they develop consciousness"- and so on. But is that really what machine learning is all about? What is machine learning though?

Ever wonder how Netflix is able to recommend you a movie you'll love or how Spotify is able to recommend you songs based on your daily tunes? Or how does Gmail differ spam mails from your regular mails? All these functions are a few of the basic tasks of machine learning. In simple words, _machine learning means developing algorithms which help computers learn from past data and produce desired results based off of that data, without having to explicitly program them to do so_- just like how we humans learn from our past mistakes and thrive to perform better in the future. So when Netflix or Spotify are able to accurately recommend you movies or songs, they do so based on your past streaming. They keep a record of the kind of movies or songs you stream and then give you new recommendations that you would like accordingly. This is called recommendations systems. And when Gmail seems to be able to filter out spam mails from the regular ones, it is called spam filtering. Other examples of machine learning include image/facial recognition, fraud detection and natural language processing which is how you are able to converse with ChatGPT and Google Gemini (previously Bard) as if you're chatting with another human being.

But how is machine learning able to perform these tasks? For the uninitiated, the kind of data an algorithm is designed for and trained on heavily influences the functions it can perform. Recommendations systems, spam filtering, image/facial recognition, fraud detection and natural language processing all work with labeled data being fed into the algorithm. This kind of learning is called supervised learning where the model is taught to predict the output for new data based on the learnings from past input-output relationships. 

There are various other types of machine learning which I will touch upon in subsequent posts. Until then remember, machines and humans have a collaborative relationship than a competitive one.
Argentum programming language
Tags: programming, language
Published: 2024-02-08 16:57:20

## Bold statements

A year ago I started developing Argentum - a new programming language that is safe, scalable, fast and tiny.

- It is memory safe, type safe, null-safe, array-index safe and so on. It is _safe_.
- It automates memory management, so you will never deallocate objects manually.
- Unlike Rust and Swift it guarantees _absence_ of memory leaks and doesn't force you to use unsafe hacks.
- Unlike Java, Go, JS and Python, it doesn't use _garbage collector_, so no sudden pauses and overheads.
- It has precise predictable object disposal moments so objects can control any resources, not just memory.
- It's compiled to machine code, producing tiny executables (with LLVM).
- It has _multithreading_ without deadlocks and data races.
- It is simple and expressive.
- And also it's crazy fast and memory-effective (I repeat myself).
- And its interop with C is mostly a pass-through.

Ag language home: https://aglang.org

## Status

It's still in a prototyping phase. Syntax will definitely change and lots of features will be added in the future, but it's worth looking at right now.

Nowadays Ag runs on and builds executables for:
- x86-64 Windows,
- x86-64 Linux,
- ARM64 Linux.

It is integrated with:
- CURL
- SQLite
- SDL (window, image, ttf)

## Give it a try

This week I made a Web Playground for Argentum.
Now it's possible to try it online without installing anything.

![Argentum playground screenshot](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/qandftvller38e4ys1lm.jpg)

All details and a playground link: https://aglang.org/playground/
Happy hacking! :-)
Machine Learning
Published: 2024-02-08 16:55:14

I'm brought back to the amazement and fascination that initially drew me to this fascinating topic as I sit down to think back on my experience with machine learning. I feel like I discovered machine learning only yesterday, and I had no idea at the time how much of a role it would play in my life. My quest started out as a basic curiosity: I wanted to know how machines could be trained to see patterns, learn from data, and make wise decisions. It was similar to removing the layers off a fascinating onion, with each discovery raising new queries and revealing deeper truths. From deep learning to neural networks, every idea appeared to be a component of a challenging jigsaw that needed to be assembled. But with time and perseverance, as well as a wealth of online materials, tutorials, and courses, I was able to progressively understand the nuances of these ideas.
But learning machine learning required more than just memorizing methods and algorithms; it also required developing an attitude of constant experimentation and discovery. I quickly came to see that learning included both making errors and experiencing setbacks. I learned something new from every failed trial, which motivated me to improve my strategy and aim for higher outcomes. Applying machine learning to real-world issues was one of the most exciting parts of my trip. Every project had its own set of benefits and drawbacks, whether it included classifying photos, predicting stock prices, or examining consumer behavior. I still clearly recall the feeling of satisfaction I got when a model I had trained was able to predict results with an astounding level of accuracy or found previously undiscovered information in a dataset. The most satisfying moments, though, were probably when I saw how machine learning actually improved people's lives. Almost every sector of life might be revolutionized by machine learning, ranging from healthcare and banking to education and transportation. The possibilities are essentially limitless, whether the goal is to optimise resource allocation, improve medical diagnostics, or personalise educational experiences. 
 However, in addition to the excitement and potential of machine learning, there are significant ethical issues that should not be disregarded. We need to make sure algorithms are applied sensibly and morally as they get more potent and commonplace. To avoid unforeseen effects and guarantee that machine learning helps everyone equally, issues like bias, fairness, and transparency need to be addressed early on.
Migração Certificado do Windows para o Linux
Published: 2024-02-08 16:53:14


Boa tarde,

Espero que todos estejam bem.

Peço desculpas se este não for o local adequado para a minha questão.

Atualmente, possuo um site que utiliza um certificado da Digicert. Este site está hospedado em um servidor Windows 2019 com IIS 10, onde o CSR foi gerado para a criação do certificado.

Estou em processo de migração do ambiente Windows para um servidor Linux com Apache2. Gostaria de saber se é possível utilizar o mesmo certificado que está no servidor Windows no ambiente Linux com Apache. Caso afirmativo, alguém poderia me orientar sobre como realizar essa transição?

Agradeço desde já pela ajuda.


Good afternoon,

I hope everyone is well.

I apologize if this is not the right place for my question.

I currently have a website that uses a Digicert certificate. This site is hosted on a Windows 2019 server with IIS 10, where the CSR was generated for the certificate creation.

I am in the process of migrating from Windows to a Linux server with Apache2. I would like to know if it is possible to use the same certificate that is on the Windows server in the Linux environment with Apache. If so, could someone guide me on how to make this transition?

I appreciate any assistance you can provide.
Running react native testing 3x faster
Tags: reactnative, jest, swc, testing
Published: 2024-02-08 16:51:54

I just made react-native testing 3x faster than when I was using babel-jest!

<table>
  <tr>
    <th>babel-jest (61s)</th>
    <th>react-native-fast-jest (23s)</th>
  </tr>
  <tr>
<td>
<img src="https://dev-to-uploads.s3.amazonaws.com/uploads/articles/xt29t90au9dkon7rw65d.png" width=385 />
</td>
<td>
<img src="https://dev-to-uploads.s3.amazonaws.com/uploads/articles/d91nbp493x6nnqawxkqq.png" width=390 />
</td>
  </tr>
</table>

## How to use?

1\. Install `react-native-fast-jest`
```
npm i --save-dev react-native-fast-jest
```

2\. Configure `.swcrc` on the root like below.
```json
{
    "jsc": {
        "parser": {
            "syntax": "typescript",
            "jsx": true,
            "tsx": true,
            "dynamicImport": false,
            "privateMethod": false,
            "functionBind": false,
            "exportDefaultFrom": false,
            "exportNamespaceFrom": false,
            "decorators": false,
            "decoratorsBeforeExport": false,
            "topLevelAwait": false,
            "importMeta": false,
            "preserveAllComments": false
        },
        "transform": null,
        "target": "es5",
        "loose": true,
        "externalHelpers": false,
        "keepClassNames": false
    },
    "isModule": true
}
```

3\. Configure jest transform config.
```js
transform: {
  '^.+\\.(t|j)sx?$': 'react-native-fast-jest',
},
```

That's it!! You just made the react-native testing 3x faster!

If you're interested in the source code of the library, you can visit here: https://github.com/changwoolab/react-native-fast-jest
Call for Volunteers: Recreational Sports
Tags: fullstack, ios, androiddev, volunteer
Published: 2024-02-08 16:43:44

Hi folks,

A fellow volleyball player and myself are supporting our recreational LGTBQ+ volleyball league with creating more diverse, inclusive yet homogeneous teams. We created an algorithm that creates teams based on specific attributes of available players and specific requirements established by the league.

We’re looking for a full stack developer with some time on their hands and a passion for helping, sports and diversity to help us build a mobile app/plugin to automate the process.

Looking forward to hearing from you!

Thanks,

Sergio
Azure Function Apps
Tags: azure, functionapp, beginners
Published: 2024-02-08 16:32:01


![function apps image](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/c9u0a4i9b3laovi6outc.png)

**What is Azure Functions?**
- **Event-driven**, **serverless** compute platform that allows developers to run event-triggered code without having to explicitly provision or manage infrastructure
- Helps developers focus on writing the codes without having to take care of scaling and managing the underlying infrastructure
- Stateless, meaning they do not maintain state between executions, which makes them well-suited for handling individual tasks or responding to specific events

**Key Features**
- Pay-per-use pricing model (very cheap)
- Bring your own dependencies (NPM or NuGet)
- Integrated security
- Simplified integration
- Flexible development
- Open-source

**How Function Apps work**
Trigger(action) -> (Input) -> Code -> Output

Triggers and bindings
- Blob storage, Cosmos DB, Event Grid, Event Hubs, HTTP & webhooks, MS Graph Excel tables, Mobile Apps, Table storage., etc.

**Host Configuration**
- **host.json** metadata files contains global configuration options that affect all functions for the function app.
Inorder Traversal in a Nutshell 🥜
Tags: leetcode, programming, algorithms, python
Published: 2024-02-08 16:17:54

## What is Inorder Traversal ?

Inorder Traversal is a type of tree traversal technique which follows the Left-Root-Right pattern. 

## Left-Root-Right pattern

1. The left subtree is traversed first.
2. Then the root node for the subtree is traversed.
3. Finally, the right subtree is traversed.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/p6043ca5eut6e01yxvi5.png)


## Example 1:

![basic concept](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/1edjzy2ig5cm9fh160ev.png)

## Example 2:


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/rk3vvzagcw8yob0dv7jz.png)