teleren/devto huggingface dataset:
React Suspense no React Native
Tags: react, reactnative, programming
Published: 2023-03-31 19:18:20

O React Suspense é uma funcionalidade introduzida no React para ajudar a simplificar o gerenciamento de estados assíncronos em aplicativos baseados em React. No React Native, o React Suspense pode ser usado para carregar componentes de forma assíncrona, reduzindo o tempo de carregamento e melhorando a experiência do usuário.


**O que é React Suspense? -**

Antes de entrarmos em como usar o React Suspense no React Native, é importante entender o que é o React Suspense e como ele funciona. O React Suspense é uma funcionalidade que permite aos desenvolvedores suspender a renderização de um componente até que seus dados assíncronos estejam disponíveis. Isso significa que, em vez de mostrar um indicador de carregamento, o componente será renderizado somente quando os dados estiverem prontos.


Como ele funciona em conjunto com o `React.lazy()`, que é usado para carregar componentes de forma assíncrona. Combinados, permitem que os desenvolvedores carreguem apenas os componentes necessários para a tela atual, melhorando significativamente o tempo de carregamento.

**Como usar o React Suspense no React Native -**

Para usar o React Suspense no React Native, primeiro é necessário instalar o pacote React Native Experimental. Isso pode ser feito através do gerenciador de pacotes Yarn ou NPM, executando o comando:

```
yarn add react-native-experimental
npm install react-native-experimental
```

Feita a instalação, importamos o React Suspense usando o seguinte código:

```
import { Suspense } from 'react';
```

Vejamos um exemplo de uso do React Suspense, lembrando que seu uso é bem próximo do utilizado na web com NextJs e outras linguagens:

```
import { Suspense } from 'react';
import Albums from './Albums.js';

export default function ArtistPage({ artist }) {
  return (
    <>
      <h1>{artist.name}</h1>
      <Suspense fallback={<Loading />}>
        <Albums artistId={artist.id} />
      </Suspense>
    </>
  );
}

function Loading() {
  return <h2>🌀 Loading...</h2>;
}
```


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/mg7ex5lcw58msobsapdx.png)


O resultado pós carregamento de Loading será:


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/8shk8mkwgl6x5gb5mesj.png)


Ao final ela retornará o desejado somente quando o processo acabar. No nosso caso aqui, temos como alvo requisitar uma API de Albúm dos Beatles(que não aparece no código, usado acima):

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/b6igcdex58ftzrh5i6s6.png)


O React Suspense é uma funcionalidade poderosa que pode ser usada para carregar componentes de forma assíncrona no React Native. Usando o React Suspense em conjunto com o React.lazy(), os desenvolvedores podem melhorar significativamente o tempo de carregamento e a experiência do usuário em seus aplicativos React Native.

Caso ainda não tenha experimentado o React Suspense, vale a pena explorar seus recursos e ver como ele pode ajudar a melhorar o desempenho e a usabilidade de seus aplicativos.
3 Ways to Reverse a String in JavaScript
Tags: javascript, beginners
Published: 2023-03-31 20:24:27

In this post, you’ll learn how to work with the string.split(), string.join() functions, and finally spread operator.

JavaScript is a fantastic programming language that allows us to write code differently. Reversing a string in JavaScript is simple. Assuming we have a string like “JavaScript forever” we want to reverse all the characters of that. Let’s get started to do it.

## 1. Using loops
In most programming languages, and for new developers, using loops is the first way they can do it. Since the string is an iterable type in JavaScript, you can iterate through each character from the last to the first.

```js
const str = "JavaScript forever";
let reversed = "";

for (let i = str.length - 1; i >= 0; i - ) {
  reversed += str[i];
}

console.log(reversed); // reverof tpircSavaJ
```

## 2. Using the split and join functions
In this way, you need to convert the string to an array. In JavaScript, you can split string characters into an array by using the split() function.

```js
const str = "A text";

const arr = str.split('');  // ['A', ' ', 't', 'e', 'x', 't']

const reversedArr = arr.reverse(); // ['t', 'x', 'e', 't', ' ', 'A']

const reversedStr = reversedArr.join(''); // txet A

console.log(reversedStr); // txet A
```

You can merge all the lines into one line:

```js
const result = original.split('').reverse().join('');
```

## 3. Using the spread operator
Still looking for an advanced way? The spread operator (...) allows us to create a real copy of an iterable value and put it into an object or array. So here, the spread operator can be used instead of the split() function to make an array from the string:

```js
const str = "A text";
const arr = [...str]; // Creates an array of string characters
const reversedArr = arr.reverse();
const reversedStr = reversedArr.join('');
console.log(reversedStr); // txet A
```

Of course, You can merge them all into one line:

```js
const result = [...str].reverse().join('');
```
Comandos esenciales en Git
Tags: git, github
Published: 2023-03-31 20:14:59

## Introducción a Git
Git es un sistema de control de versiones esencial para el seguimiento y colaboración en proyectos de desarrollo de código. Este artículo cubre los **comandos básicos y avanzados** de Git, desde la creación de un repositorio hasta la fusión y la ramificación. Utiliza esta guía de referencia para mejorar tus habilidades de Git y optimizar tu flujo de trabajo. 😸✨
## Comandos básicos de Git
### Inicilización
Para poder utiliza git en nuestra máquina es necesario indicarle a ella quienes somos para que guarde la información de quien hizo qué acciones en el sistema de control de versiones. Para esto se usan los siguientes cómandos:
```
git config --global user.name "tu nombre"
git config --global user.email "tu dirección de correo"
```

Con esta configuración ya podrás utilizar todos los cómandos de git.  😸✨

Para inicializar un nuevo repositorio de Git en el directorio actual, ejecuta el siguiente comando:
```
git init
```
Esto crea un directorio .git oculto en el directorio actual que rastrea los cambios en los archivos. Es el primer paso para empezar a trabajar con git. 

### Agregar archivos y cambios realizados

Antes de realizar un commit, es necesario agregar los archivos y los cambios realizados a Git, para esto se ejecuta el siguiente comando:

```
git add <nombreDelArchivo>
```
Un ejemplo sencillo podría ser:

```
git add index.html
```

También se pueden organizar todos los cambios en el directorio actual ejecutando:
```
git add .
```

### Realizar un commit

Para realizar un commit, es necesario tener todos los cambios agregados, para almacenar una versión del proyecto en un momento específico en el tiempo se utiliza el siguiente commando:
```
git commit -m "Mensaje del commit"
```
Es importante que los mensajes sean descriptivos e indiquen qué cambios se hicieron en el proyecto. 

### Revisar el estado actual del proyecto

Para verificar el estado actual de tu proyecto, ejecuta el siguiente comando: 
```
git status
```
Esto te mostrará qué archivos se han modificado, qué archivos están preparados para confirmación y qué archivos no se han rastreado.

Para verificar la diferencia entre el último commit y los cambios actuales, ejecuta el siguiente comando: 
```
git diff
```
Esto te mostrará los cambios actuales en el repositorio en comparación con los cambios del último commit.

Para devolver el estado del repositorio al del último commit se utiliza el siguiente cómando:
```
git reset --hard
```
Never Overlook Equality Verification
Tags: csharp, polymorphism, interface, oop
Published: 2023-03-31 20:05:31

When building an application, it's important to design it with equality verification in mind from the beginning. Relying on string comparisons for equality verification can lead to inefficiencies, bugs, and maintenance headaches. By designing our components with equality verification in mind, we can avoid these issues and build a more robust and maintainable application.

Here's an example of how to design a generic model with a few generic components that can be compared for equality using C#:

``` C#
// Define a generic interface for components that can be compared for equality
public interface IComponent<T>
{
    bool Equals(T other);
}

// Define a generic class for the model that contains a list of generic components
public class Model<T> where T : IComponent<T>
{
    private List<T> components;

    public Model(List<T> components)
    {
        this.components = components;
    }

    public bool Equals(Model<T> other)
    {
        if (components.Count != other.components.Count)
        {
            return false;
        }

        for (int i = 0; i < components.Count; i++)
        {
            if (!components[i].Equals(other.components[i]))
            {
                return false;
            }
        }

        return true;
    }
}

// Define a few generic components that implement the IComponent interface
public class ComponentA : IComponent<ComponentA>
{
    private string name;

    public ComponentA(string name)
    {
        this.name = name;
    }

    public bool Equals(ComponentA other)
    {
        return name == other.name;
    }
}

public class ComponentB : IComponent<ComponentB>
{
    private int value;

    public ComponentB(int value)
    {
        this.value = value;
    }

    public bool Equals(ComponentB other)
    {
        return value == other.value;
    }
}
```

By using a generic interface and class, we can easily create new components and models that can be compared for equality in a flexible and maintainable way. And by using the Equals method instead of string comparisons, we can ensure efficient and robust comparisons that avoid the issues of bugs and maintenance headaches.
Does technology use cause harm? - Survey
Tags: community, programming, discuss, career
Published: 2023-03-31 20:02:17

We are conducting a study on **people's attitudes toward technology use (and its effects on well being)** that will take about **20 to 30 minutes to complete**. As a worker in the tech industry, **your opinion is especially valuable on this matter**. After completing the study, you may optionally provide your email address if you are interested in receiving anonymized group data.

[Survey and details](https://sjsu.qualtrics.com/jfe/form/SV_56jyCXeYe8ub9gW)
15 Engaging Python Projects to Elevate Your Personal Portfolio
Tags: beginners, portfolio, python, programming
Published: 2023-03-31 19:58:11

1. **Web Scraper**: Create a web scraper using libraries like Beautiful Soup and requests to extract and analyze data from websites, such as news articles, product listings, or job postings.

2. **Personal Blog**: Use Flask or Django to build a personal blog with features like user authentication, commenting, and a simple content management system (CMS).

3. **Chatbot**: Develop a chatbot using natural language processing (NLP) libraries like NLTK or spaCy for simple question-answering or customer support.

4. **To-Do List App**: Create a to-do list app with a GUI using Tkinter or PyQt, allowing users to add, edit, and delete tasks, as well as set deadlines and priorities.

5. **Expense Tracker**: Develop an expense tracker that records and categorizes expenses, generates reports, and provides visualizations using libraries like pandas and Matplotlib.

6. **Cryptocurrency Price Tracker**: Build an app that retrieves and displays real-time cryptocurrency prices using APIs, and allows users to set price alerts.

7. **Social Media Sentiment Analyzer**: Use NLP and machine learning libraries like TextBlob or VADER to analyze sentiment in tweets or other social media posts related to a specific topic or brand.

8. **Image Classification**: Implement a simple image classifier using machine learning libraries like TensorFlow or PyTorch to identify objects or animals in images.

9. **Weather App**: Create a weather app that retrieves and displays current weather data and forecasts for a given location using APIs like OpenWeatherMap.

10. **Portfolio Website**: Design a portfolio website showcasing your projects, skills, and experiences, using Flask or Django as the back-end and integrating front-end technologies like HTML, CSS, and JavaScript.

11. **File Organizer**: Develop a script that organizes files on your computer based on file type, date, or other criteria, making it easier to manage and find files.

12. **Quiz Application**: Create a quiz application with a GUI that allows users to take quizzes, track their scores, and view statistics about their performance.

13. **Data Visualization Dashboard**: Use libraries like Plotly or Bokeh to create interactive data visualizations and dashboards for displaying and exploring datasets.

14. **Password Manager**: Build a secure password manager with encryption using libraries like cryptography, allowing users to store and retrieve their login credentials.

15. **Machine Learning Model Deployment**: Train a machine learning model using libraries like Scikit-learn and deploy it as a RESTful API using Flask or FastAPI for real-world applications.

These projects will help you demonstrate your skills and proficiency in Python, as well as provide you with a diverse portfolio that showcases your abilities across various domains.
openGauss Generating Configuration Files
Published: 2023-03-27 07:10:44

Background
If a static configuration file is damaged while you use openGauss, openGauss cannot obtain information about the openGauss topology structure and primary/standby relationship, affecting the openGauss function. In this case, you can use the gs_om tool to generate a new static configuration file to replace the damaged file, ensuring normal openGauss running.

Prerequisites
None

Procedure
Log in as the OS user omm to the primary node of the database.

Run the following command to generate configuration files in a specified directory on the current host:

""
gs_om -t generateconf -X /opt/software/openGauss/clusterconfig.xml --distribute
/opt/software/openGauss/clusterconfig.xml is the XML configuration files during the openGauss installation.

 NOTE:

After the command is executed, the new configuration file storage directory is displayed in the log information. Take a one-primary two-standby environment as an example. This directory contains three configuration files named by host names. You need to replace the configuration files of corresponding hosts with the three files respectively.

If –distribute is not specified, perform 3 to distribute static configuration files to their corresponding hosts. If –distribute is specified, the static configuration files are automatically distributed and you do not need to perform 3.

(Optional) Replace the damaged static configuration files of the three hosts in the /opt/gaussdb/app/bin directory.

Take one host as an example:

""
mv /opt/huawei/wisequery/script/static_config_files/cluster_static_config_SIA1000056771  /opt/gaussdb/app/bin/cluster_static_config
Examples
Run the following commands on any of the hosts in openGauss to generate configuration files:

""
gs_om -t generateconf -X  /opt/software/openGauss/clusterconfig.xml --distribute
Generating static configuration files for all nodes.
Creating temp directory to store static configuration files.
Successfully created the temp directory.
Generating static configuration files.
Successfully generated static configuration files.
Static configuration files for all nodes are saved in /opt/huawei/Bigdata/mppdb/wisequery/script/static_config_files.
Distributing static configuration files to all nodes.
Successfully distributed static configuration files.
Open the generated configuration file directory that contains three new files.

""
cd /opt/huawei/Bigdata/mppdb/wisequery/script/static_config_files
ll
total 456
-rwxr-xr-x 1 omm dbgrp 155648 2016-07-13 15:51 cluster_static_config_plat1
-rwxr-xr-x 1 omm dbgrp 155648 2016-07-13 15:51 cluster_static_config_plat2
-rwxr-xr-x 1 omm dbgrp 155648 2016-07-13 15:51 cluster_static_config_plat3
Web Scraping Tutorial with Python and Beautiful Soup
Tags: beginners, tutorial, python, datascience
Published: 2023-03-31 19:40:34

In this tutorial, we will use Python and a popular web scraping library called Beautiful Soup to scrape a website. We will cover the basics of web scraping, including making requests, parsing HTML, and extracting data.

## Prerequisites

1. Basic understanding of Python.
2. Familiarity with HTML.

## Tools and Libraries

1. Python 3.x
2. Beautiful Soup 4
3. Requests

## Step 1: Install Required Libraries

First, you need to install Beautiful Soup and Requests libraries. You can do this using pip:

```
pip install beautifulsoup4
pip install requests
```

## Step 2: Import Required Libraries

In your Python script, import the required libraries:

```
import requests
from bs4 import BeautifulSoup
```

## Step 3: Make an HTTP Request
To scrape a website, you first need to download its HTML content. You can use the Requests library to do this:


```
url = 'https://example.com'  # Replace this with the website you want to scrape
response = requests.get(url)

# Check if the request was successful (status code 200)
if response.status_code == 200:
    html_content = response.text
else:
    print(f"Failed to fetch the webpage. Status code: {response.status_code}")
```

## Step 4: Parse the HTML Content
Now that you have the HTML content, you can parse it using Beautiful Soup:

```
soup = BeautifulSoup(html_content, 'html.parser')
```

## Step 5: Extract Data
With the parsed HTML, you can now extract specific data using Beautiful Soup's methods:

```
# Find a single element by its tag
title_tag = soup.find('title')

# Extract the text from the tag
title_text = title_tag.text
print(f"The title of the webpage is: {title_text}")

# Find all the links on the webpage
links = soup.find_all('a')
for link in links:
    href = link.get('href')
    link_text = link.text
    print(f"{link_text}: {href}")
```

## Step 6: Save Extracted Data
You can save the extracted data in any format you prefer, such as a CSV or JSON file. Here's an example of how to save extracted data to a CSV file:

```
import csv

# Assuming you have a list of dictionaries with the extracted data
data = [{'text': 'Link 1', 'url': 'https://example.com/link1'},
        {'text': 'Link 2', 'url': 'https://example.com/link2'}]

with open('extracted_data.csv', 'w', newline='') as csvfile:
    fieldnames = ['text', 'url']
    writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
    writer.writeheader()
    for row in data:
        writer.writerow(row)
```

And that's it! This basic tutorial should help you get started with web scraping using Python and Beautiful Soup. Remember to always respect the website's terms of service and robots.txt file, and avoid overloading the server with too many requests in a short period of time.
A Github How-To for Data Science
Tags: github, beginners
Published: 2023-03-31 19:25:57

GitHub is a popular platform used by developers to collaborate on coding projects. However, data scientists can also benefit from using GitHub as a tool to collaborate on data-driven projects. In this guide, we will explore the basics of GitHub and how it can be used to manage and share data science projects.

What is GitHub?

GitHub is a web-based platform for version control and collaboration. It allows developers and data scientists to work on projects collaboratively, track changes, and manage versions of their code. It is built on top of the Git version control system, which is a command-line tool that allows users to track changes to their code.

**Why use GitHub for data science projects?**

GitHub offers several benefits to data scientists working on collaborative projects:

Version control: GitHub allows users to track changes to their code over time, making it easy to revert to previous versions if necessary. This is particularly useful for data science projects, which often involve working with large datasets and complex code.

Collaboration: GitHub makes it easy for data scientists to collaborate on projects with colleagues or other members of the community. Users can create branches of their code, work on different parts of the project independently, and merge their changes back into the main branch.

Sharing: GitHub makes it easy to share data science projects with others, whether they are colleagues or members of the wider community. Users can create public or private repositories, share code snippets, and contribute to open-source projects.

**Getting started with GitHub**

To get started with GitHub, you will need to create an account. Once you have created an account, you can create a new repository to store your data science project. You can then clone the repository to your local machine, make changes, and push those changes back to the repository on GitHub.

Here are some key concepts to keep in mind when working with GitHub:

Repositories: A repository is a container for your project. It contains all the files and folders associated with your project, as well as any version history and changes made to your code.

Branches: A branch is a copy of your repository that you can work on independently of the main branch. This allows multiple users to work on different parts of the project at the same time.

Commits: A commit is a snapshot of your code at a specific point in time. Each commit represents a change to your code and includes a description of what was changed.

Pull requests: A pull request is a request to merge changes from one branch to another. This allows users to review changes made to the code before they are merged into the main branch.

GitHub is a powerful tool for data scientists working on collaborative projects. It offers version control, collaboration, and sharing features that can help streamline the data science workflow. By following the key concepts outlined in this guide, data scientists can make the most of GitHub and ensure their projects are well-managed and accessible to others.