teleren/devto huggingface dataset:
The Role of Artificial Intelligence in Programming - Unveiling Blackbox AI
Tags: ai, coding, programming
Published: 2023-08-15 18:07:09

Introduction
Machines surround us in the present day – on the streets, at work, with friends, family, even in our pockets – undoubtedly a major reason why many people have jobs, including programmers. However, there are some Devs who are opposed to one of the newly created technologies: Artificial Intelligence. But is this a necessary fight, or can Devs actually coexist with AIs without issue? Today, we'll use Blackbox AI as a test subject, a programming tool with numerous functionalities that greatly enhance and expedite a developer's work, and we'll explore to what extent it poses a threat to Devs or stands as a powerful tool.

Table of contents

Cases Demonstrating Blackbox AI's Impact
Collaborating with AI: A New Era of Programming
Embracing the Future

Cases Demonstrating Blackbox AI's Impact
Let's explore three scenarios that shed light on how Blackbox AI can revolutionize the programming landscape:
Simplifying README Creation:
Imagine completing a project and needing a README file to guide users. Time constraints or lack of motivation may pose challenges. Enter Blackbox AI – it can generate README files for all project components in seconds. The AI requires human guidance but excels in simplifying this otherwise time-consuming task.

Swift Debugging with AutoComplete:
Debugging is a programmer's routine, often frustrating and time-intensive. Blackbox AI introduces AutoComplete, suggesting code snippets based on context. Troublesome lines can be replaced effortlessly, saving time and ensuring efficient debugging.

Effortless Code Replication with Save Snippet
Copy-pasting code segments is common, but time-consuming. Blackbox AI's Save Snippet function stores and reproduces code snippets, enhancing efficiency and convenience. The AI doesn't operate independently but streamlines this repetitive process.

Multimedia
[Showcase a visual representation of Blackbox AI at work]

AI-Powered Coding with Blackbox
Discover the transformative power of AI in programming. Learn how Blackbox AI can elevate your coding experience, making tasks smoother, efficient, and collaborative.

Engage with Our Insights
Dive deeper into the world of programming and AI. Explore our array of articles to gain valuable insights into the evolving landscape of technology and programming.
Sentiment Analysis using sst2 Dataset (Classification)
Tags: python, deeplearning, nlp, ai
Published: 2023-08-15 18:06:50

Sentiment analysis is a fascinating field that aims to understand and classify the emotions expressed in text. It has numerous applications, from analyzing customer reviews to monitoring social media sentiment. In this article, we will explore sentiment analysis using the sst2 dataset and how it can be used for classification.

The sst2 dataset is a popular benchmark dataset for sentiment analysis. It consists of movie reviews labeled as either positive or negative. The goal is to build a machine learning model that can accurately predict the sentiment of a given movie review.

Before diving into the code, let's take a moment to appreciate the humor in movie reviews. After all, who doesn't enjoy a good laugh? Here's a funny phrase to lighten the mood: "I laughed so hard, I nearly fell off my chair and spilled popcorn all over the person in front of me!"

Now, let's get back to business and see how we can use the sst2 dataset for sentiment analysis classification. We will be using Python and the popular machine learning library, scikit-learn.

`\# Import the necessary libraries import pandas as pd from sklearn.feature\_extraction.text import TfidfVectorizer from sklearn.model\_selection import train\_test\_split from sklearn.linear\_model import LogisticRegression from sklearn.metrics import accuracy\_score # Load the sst2 dataset df = pd.read\_csv('sst2\_dataset.csv') # Split the dataset into training and testing sets X\_train, X\_test, y\_train, y\_test = train\_test\_split(df\['review'\], df\['sentiment'\], test\_size=0.2, random\_state=42) # Create a TF-IDF vectorizer vectorizer = TfidfVectorizer() # Transform the text data into numerical features X\_train = vectorizer.fit\_transform(X\_train) X\_test = vectorizer.transform(X\_test) # Train a logistic regression model model = LogisticRegression() model.fit(X\_train, y\_train) # Make predictions on the test set y\_pred = model.predict(X\_test) # Calculate the accuracy of the model accuracy = accuracy\_score(y\_test, y\_pred) # Output the accuracy score print(f"Accuracy: {accuracy}")`

And there you have it! By using the sst2 dataset and a simple logistic regression model, we can predict the sentiment of movie reviews with a certain level of accuracy.

References:

*   scikit-learn documentation: [https://scikit-learn.org/stable/documentation.html](https://scikit-learn.org/stable/documentation.html)
*   sst2 dataset: [https://nlp.stanford.edu/sentiment/index.html](https://nlp.stanford.edu/sentiment/index.html)
Liberar el poder de la IA en el Desarrollo de Código
Tags: ai, programming, coding, beginners
Published: 2023-08-15 18:05:32

Introducción
En el vertiginoso mundo de la programación, la tecnología está en constante evolución, ofreciendo herramientas innovadoras para mejorar nuestras habilidades y eficiencia. En medio de este paisaje dinámico, la IA emerge como un compañero silencioso, empoderando a los desarrolladores para lograr más. En este artículo, exploraremos cómo la IA, en particular Blackbox, puede integrarse sin problemas en tu flujo de trabajo, elevando tu experiencia de desarrollo a nuevas alturas.

Tabla de Contenidos
1. Optimización de la Generación de Código
2. Comentarios de Código Enriquecidos con Información de la IA
3. Navegación Inteligente en Proyectos
4. Aprendizaje y Adaptación Personalizados
5. Colaboración Armónica con una IA

Optimización de la Generación de Código
La IA de Blackbox empodera discretamente en la generación de código. Ya sea que estés abordando tareas intrincadas u optimizando tu flujo de trabajo, la IA de Blackbox ofrece sugerencias precisas para acelerar tu proceso de codificación. Complementa tu creatividad y brinda una mano amiga, asegurando que tu código sea eficiente y bien elaborado.

Comentarios de Código Enriquecidos con Información de la IA
Los comentarios de código son las migas de pan de tu viaje de desarrollo. Al integrar la IA de Blackbox, tus comentarios se enriquecen con información. La IA analiza tus comentarios y ofrece sugerencias para completar tu código, agilizando tu trabajo y facilitando una colaboración más fluida.

Aprendizaje y Adaptación Personalizados
La IA de Blackbox no es solo una herramienta; es un compañero de aprendizaje. A través de la interacción continua, se adapta a tu estilo de programación. A medida que trabajas en proyectos diversos, la IA de Blackbox evoluciona junto a ti, anticipando tus necesidades y ofreciendo soluciones a medida que amplifican tu productividad.

Desbloquea el Potencial de la IA con Blackbox
Colabora sin problemas con la ayuda de la IA. La IA de Blackbox se convierte en tu socio confiable, mejorando tu experiencia de codificación. Desde resolver conflictos de fusión hasta sugerir mejoras de código, la IA contribuye a la calidad y eficiencia globales de tus proyectos. Únete al movimiento y aprovecha el poder de la IA para impulsar tus habilidades y proyectos de desarrollo.

Únete al mundo de las IAs
¿Listo para embarcarte en una nueva era de desarrollo? Explora las posibilidades de la integración de IA y lleva tu viaje de codificación al siguiente nivel. Únete a la comunidad de desarrolladores que aprovechan el potencial de la IAs leyendo nuestros artículos.
Phalcon v5.3.0 Released
Tags: phalcon, phalcon5, release
Published: 2023-09-12 12:59:58

---
title: Phalcon v5.3.0 Released
published: true
date: 2023-08-15 18:03:15 UTC
tags: phalcon,phalcon5,release
canonical_url: 
---

We are happy to announce that Phalcon v5.3.0 has been released!

This release fixes form-data handling for PUT requests, changes the dynamic update by default in the ORM, and fixes a memory leak in the Micro application, especially when one is using Swoole.

> The biggest change comes in the `Phalcon\Mvc\Micro`, where the class is no longer automatically registered in the `Phalcon\Di\Di` container with the name `application`. This registration was responsible for numerous memory leaks, when using Swoole with Micro.

Along with those, some optimizations have been introduced as well as new methods in the Model, Metdata and Loader.

Once again, a huge thanks to our community for helping out with bug fixing and more importantly bug reporting!

## Changelog

### Added

- Added `Phalcon\Mvc\Model::appendMessagedFrom` for code consistency and to add messages from another model [#16391](https://github.com/phalcon/cphalcon/issues/16391)
- Added `Phalcon\Autoload\Loader::isRegistered` for debugging purposes [#16391](https://github.com/phalcon/cphalcon/issues/16391)
- Added `Phalcon\Mvc\Model\Metadata::initializeMetadata` [#16393](https://github.com/phalcon/cphalcon/issues/16393)
- Added `Phalcon\Mvc\Model\Metadata::getMetaDataUniqueKey` [#16393](https://github.com/phalcon/cphalcon/issues/16393)
- Added `Phalcon\Mvc\Model\Metadata::getColumnMapUniqueKey` [#16393](https://github.com/phalcon/cphalcon/issues/16393)
- Added `Phalcon\Encryption\Security\JWT\Builder::addHeader()` to allow adding custom headers [#16396](https://github.com/phalcon/cphalcon/issues/16396)

### Changed

- Refactored `Phalcon\Mvc\Model::doLowUpdate` and `Phalcon\Mvc\Model::postSaveRelatedRecords` for better code logic and a clearer separation of behaviour, although it lead to partially repeated code. [#16391](https://github.com/phalcon/cphalcon/issues/16391)
- Cleaned `Phalcon\Mvc\Model\Metadata::initialize` [#16393](https://github.com/phalcon/cphalcon/issues/16393)

### Fixed

- Parse multipart/form-data from PUT request [#16271](https://github.com/phalcon/cphalcon/issues/16271)
- Set Dynamic Update by default system-wide [#16343](https://github.com/phalcon/cphalcon/issues/16343)
- Fixed memory leak in Micro application [#16404](https://github.com/phalcon/cphalcon/pull/16404)

## Upgrade

Developers can upgrade using PECL

```
pecl install phalcon-5.3.0

```

To compile from source, follow our [installation document](https://docs.phalcon.io/5.0/en/installation)
Python Data Type
Tags: python, programming, machinelearning, datascience
Published: 2023-08-15 17:54:50

`In Python, data types determine the type of data that a variable can hold. Different data types have different purposes. Here I am going to write some types of data type`

**Integer (int)**

Integers are whole numbers without decimal points. Examples:

```
age = 25
height = 175
students_count = 1000
```

**Floating-Point (float)**

Floating-point numbers are numbers with decimal points. Examples:

```
pi = 3.14159
temperature = 25.5
weight = 68.75
```

**String (str)**

Strings are sequences of characters enclosed in single (' ') or double (" ") quotes. Examples:

```

name = "John Doe"
address = '123 Main Street'
message = "Hello, how are you?"
```

**Boolean (bool)**

Booleans represent truth values. It can be either True or False. Examples:

is_raining = True
is_sunny = False
is_student = True

**List**

```
numbers = [1, 2, 3, 4, 5]
names = ['Alice', 'Bob', 'Charlie']
mixed_list = [10, 'apple', True, 3.14]
```

**Tuple**

Tuples are similar to lists, but they are immutable once created. Examples

```

axiz = (10, 20)
marks = (55, 78, 90)
```

**Dictionary**

Dictionaries store key-value pairs and allow accessing values using their keys. Dictionaries are mutable. Examples:

```
person = {"name": "John", "age": 30, "city": "New York"}
grades = {"math": 90, "science": 85, "history": 78}
```

**Set**

Sets are unordered collections of unique elements ( no duplicate) Examples:

```
fruits = {'apple', 'banana', 'orange'}
prime_numbers = {2, 3, 5, 7, 11}
```

**NoneType (None)**

None is a special data type representing the absence of a value. Example:

```
 result = None
```

These are some of the essential data types in Python. Understanding data types is crucial for effectively manipulating and processing data in your Python programs. 

Remember that Python is a dynamically-typed language, meaning you do not need to specify the data type explicitly when declaring a variable; Python will infer it based on the assigned value.
Setting Up a Node CLI with ChatGPT
Tags: ai, chatgpt, discuss, node
Published: 2023-08-15 17:52:42

Hey devcommunity! 🚀

I've been diving into setting up a Node CLI using a ChatGPT account account. Apart from the intricacies of the access token, I found the process to be pretty straightforward. If anyone's interested, I just built up this [very fast sample repo](https://github.com/andi1984/chatgpt-demo) that might be helpful as a starter.

On a related note, for those looking into automatic access token generation, I stumbled upon [openai-token](https://github.com/michael-dm/openai-token). It seems to work with a username/password combo. Has anyone tried this or have any thoughts on it?

Would love to hear your experiences or any tips you might have building ChatGPT CLIs via TypeScript! 💡
Should you have a Kubernetes cluster with fewer larger nodes or many smaller nodes?
Tags: kubernetes, devops, cloud, docker
Published: 2023-08-15 17:48:08



When creating a Kubernetes cluster, one of the first questions that comes up is what type of worker nodes to use and how many of them. The total compute capacity of a cluster is the sum of all the constituent nodes' capacities. There are multiple ways to achieve a desired target capacity of a cluster. For example, if you need a cluster with a total capacity of 8 CPU cores and 32 GB of RAM, you could design your cluster using 4 smaller nodes or 2 larger nodes.

There are pros and cons to both approaches. Few large nodes can result in less management overhead, as it is easier to manage a small number of machines than a large number. However, this applies primarily to bare metal servers and not to cloud instances. If you use cloud instances, you outsource the management of the underlying machines to the cloud provider.

On the other hand, many small nodes can provide higher availability. If you have a cluster with two large worker nodes and you lose one, you lose half the cluster capacity. Having multiple worker nodes reduces this risk. For example, if you have a ten-node cluster and you lose one, you lose just 10% of your cluster capacity.

There are other factors to consider as well, such as ease of scheduling containers and node auto-scaling. With a large number of resources allocated to a node, it becomes easier for Kubernetes to schedule containers on a cluster with fewer large worker nodes in comparison to smaller nodes². However, with more nodes in the picture, there is more management overhead in terms of taking care of servers, patching and updating them, and maintaining them.

Ultimately, the choice between few large nodes or many small nodes depends on your specific needs and requirements. It's important to carefully consider all the factors when designing your Kubernetes cluster.

[✅ Here you can read full & detailed article.](https://learnk8s.io/kubernetes-node-size)
Java concat vs +: Understanding String Concatenation in Java
Tags: java, string, concatenation, operator
Published: 2023-08-15 17:03:41

Java is a popular programming language known for its versatility and wide range of applications. When it comes to working with strings in Java, developers often come across the need to concatenate or combine strings. However, there are multiple ways to achieve string concatenation in Java, and it's important to understand the differences between them.

One common approach to concatenate strings in Java is by using the `+` operator. This operator allows you to easily combine two or more strings together. For example:

 

    
    String firstName = "John";
    String lastName = "Doe";
    String fullName = firstName + " " + lastName;
    System.out.println(fullName); // Output: John Doe
        

 

The `+` operator works well for simple concatenation tasks and is easy to read and understand. However, it may not be the most efficient option when dealing with large numbers of concatenations or within loops. Each time the `+` operator is used, a new `StringBuilder` object is created, resulting in some overhead.

Another approach to string concatenation in Java is by using the `concat()` method provided by the `String` class. This method takes a string as an argument and appends it to the end of the original string. Here's an example:

 

    
    String str1 = "Hello";
    String str2 = "World";
    String result = str1.concat(" ").concat(str2);
    System.out.println(result); // Output: Hello World
        

 

The `concat()` method is slightly more efficient than the `+` operator because it does not involve creating a new `StringBuilder` object. However, the difference in performance is usually negligible unless you're dealing with a large number of concatenations.

In general, both the `+` operator and the `concat()` method are suitable for most string concatenation needs in Java. The choice between them often comes down to personal preference and readability. Some developers find the `+` operator more intuitive, while others prefer the explicitness of the `concat()` method.

To sum it up, whether you choose to use the `+` operator or the `concat()` method for string concatenation in Java, both options will get the job done. It's important to consider the specific requirements of your application and choose the approach that best suits your needs.

References:
-----------

*   [Java API Documentation - String#concat()](https://docs.oracle.com/javase/8/docs/api/java/lang/String.html#concat-java.lang.String-)
*   [Oracle Java Tutorials - Strings](https://docs.oracle.com/javase/tutorial/java/data/strings.html)
askGenie: Create your own ChatGPT agent, trained on your data, and launch it anywhere!
Tags: ai, webdev, web, website
Published: 2023-08-15 16:58:46

Introducing **askGenie (**[**https://askgen.ie**](https://askgen.ie/)**)**

**Create your own ChatGPT agent, trained on your data, and launch it anywhere!** The easiest way to create an AI agent using your existing data.

Integrate AI agents into **websites for customer support** **(simple in 3 steps)**:  
**1. Create the Agent and its knowledge base.** The Agent will answer based on the content of the knowledge base.  
**2. The knowledge base can incorporate multiple data sources.** Choose the initial data source type 'Web Site'. All web pages will be stored in the knowledge base.  
**3. Integration:** Simply copy the generated HTML code in the 'Website widget' into your website!  
**askGenie (**[**https://askgen.ie**](https://askgen.ie/)**)** is **FREE**.

 

Please let me know what you think!
💵 ¿Cómo comprar un buen computador?
Published: 2023-08-15 16:23:14

---
title: 💵 ¿Cómo comprar un buen computador?
published: true
description: 💥 Las preguntas que debemos hacer cuando nos dicen ¿cuál es el mejor computador? 💥
tags: 
//cover_image: https://direct_url_to_image.jpg
---

Como estudiante de ingeniería de sistemas, a menudo me preguntan ¿cual computador debo comprar? ó ¿ Cual computador de estos es mejor ? y la respuesta no solamente depende de las características del computador en si, sino que también depende de aspectos muy subjetivos como quien lo va a usar etc..


## ¿Quién lo va a usar?

- [ ]  ¿Niños?
- [ ]  ¿Jóvenes?
- [ ]  ¿Personas mayores?


## ¿Para que lo va a usar?

- [ ]  Trabajo (Office, Word y Internet ).
- [ ]  Herramientas de diseño de Adobe como photoshop.
- [ ]  Juegos de alto rendimiento.
- [ ]  Solo navegar en internet.

## ¿ Sistema Operativo?

- [ ]  Windows 10 (Excel, Word ...)
- [ ]  Windows 7 (Excel, Word ...)
- [ ]  Distribuciones Linux como Ubuntu

## ¿Que programas usan ?
- ...
- ...

## ¿Almacenamiento SSD ó Disco Magnético?

- SSD
    - Mayor velocidad si se tiene buen procesador.
    - Menor capacidad de almacenamiento.
    - Es mejor para computadores portátiles [ ya que se puede mover cuando este prendido y que no se dañe el mismo ]
- Disco Magnético
    - Menor Velocidad según procesador.
    - Muchísima capacidad de almacenamiento.
    - Muy susceptible a daños cuando se cae ó el computador se mueve mucho.

## ¿Tiene que ser un computador portátil?

## ¿ Va a usar Wifi o estará conectado mediante cable Ethernet?

## ¿Que prefiere?

- [ ]  Bonito y liviano pero lento.
- [ ]  Liviano y un poco lento además se puede calentar.
- [ ]  Rápido, no muy bonito y pesado

## ¿que tamaño necesita el computador?

- [ ]  Para llevar en la maleta todos los días (pequeño)
- [ ]  Para llevar de vez en cuando en la maleta (mediano)
- [ ]  No necesito moverlo casi nunca (puede ser de mesa)

## ¿Presupuesto?

Cuánto dinero está dispuesto a gastar en él

## ¿Cómo se debería describir un computador portátil?
Describir un computador es mucho más fácil a mi manera de ver si se llenan los siguientes espacios.

Este computador es marca ________ referencia _______ tiene un procesador ______ de __ generación marca intel con una velocidad de reloj de ___ Ghz. Tiene una capacidad de memoria ram de ___ GigaBytes DDR__ expandible a __ ya que _(si-no)_ tiene un espacio disponible para aumentar.

## ¿ Y tú cómo haces para responderle a tus amigos cuando te preguntan cosas de este tipo ? Escribelo aqui 👇👇👇👇
Rails Active Storage
Published: 2023-08-15 16:17:56

**App feature** 
You want your users to upload and store large objects like media and document files.

**Challenge**
Many of our Rails deployments have, and should have, persistent storage for the server application code. While we can have public folders, we really do not want to store large files there. Why?  It doesn't scale. When we scale up our server to accommodate surges in requests, we would waste a lot of time and space copying over a huge public folder. And, syncing would be a challenge for create, update, and delete operations.

**Recall** 
To save information in relational databases, we tie our Active Records to database systems like PostgreSQL. Databases are designed to be well-synchronized.  But, we don't put huge data objects in the database, and usually we store a link to some persistent storage locations.

**Active Storage**
I stumbled into this topic today when saw a cool post about how to utilize [Active Storage for AWS S3](https://code.avi.nyc/an-activestorage-s3-direct-uploader-part-1-the-drag-and-drop-interface). 

And that led me to [Active Storage](https://guides.rubyonrails.org/active_storage_overview.html)  in general for attaching cloud files (Google, Azure, AWS, etc.) to our Active Records.  Cool!
Mocker: Proxy Power for gRPC Development
Tags: testing, javascript, vscode, kubernetes
Published: 2023-08-15 16:07:21

Over the past few weeks we’ve been walking you through some of the great use cases for [Mocker](https://marketplace.visualstudio.com/items?itemName=skyramp.mocker-vscode), the first of our Kubernetes testing tools in our VS Code extension, Kubernetes Test Toolkit.


Today I want to share a blog with you that walks you through its powerful gRPC proxying capability. You can easily mock a subset of the methods in an endpoint, while directing others to the live service in your cluster, enabling more realistic, more meaningful tests.

Read it [here](https://www.skyramp.dev/blog/mocker-proxy-power-for-grpc-development/).