teleren/devto huggingface dataset:
Cloud Engineer Vs. DevOps: Top 10 Major Differences
Tags: cloud, devops, engineer
Published: 2023-09-01 09:58:40

![Cloud Engineer Vs. DevOps: Top 10 Major Differences](https://cdn-images-1.medium.com/max/2160/1*aSBvl9iTAbVRQ5KiYK8weg.png)

*In the ever-evolving realm of cloud computing, the roles of cloud engineers and DevOps professionals have become pivotal choices for IT experts. These roles play crucial parts in shaping modern IT infrastructure and software development. While there’s overlap, they possess distinct focuses and contributions.*

**Cloud Engineers** specialize in developing, managing, and designing cloud infrastructure and applications. Their deep understanding of cloud technologies, network structures, and software development equips them to plan, manage, and optimize cloud projects.

**DevOps Professionals**, bridging IT operations and software development, emphasize automating software processes, collaboration, and software quality enhancement. They construct automated pipelines for code testing, building, and deployment, working with various teams to ensure seamless integration, monitoring, and continuous delivery.

###[10 Key Differences](https://www.clouddefense.ai/blog/cloud-engineer-vs-devops):

 1. **Focus**: Cloud engineers on infrastructure; DevOps on software development.

 2. **Responsibilities**: Cloud engineers manage cloud solutions; DevOps automate development.

 3. **Skill Set**: Cloud engineers wield cloud platforms; DevOps use automation tools.

 4. **Impact on Security**: Cloud engineers identify vulnerabilities; DevOps integrate security.

 5. **Collaboration**: Cloud engineers work with teams; DevOps collaborate across roles.

 6. **Job Growth**: DevOps sees higher growth.

 7. **Monitoring**: Cloud engineers focus on cloud resources; DevOps monitors the full delivery process.

 8. **Software Lifecycle**: Cloud engineers contribute at stages; DevOps throughout.

 9. **Salary**: Cloud engineers ($120–$150K); DevOps ($115–$140K).

 10. **Hiring**: Cloud engineers with expertise in platforms; DevOps broader tool knowledge.

Understanding these differences is essential for aspiring professionals and organizations seeking their expertise. Both roles contribute significantly to the cloud-driven future, and choosing between them hinges on your strengths, interests, and career goals.
How do you stay creative as a dev?
Tags: discuss, career, programming
Published: 2023-09-01 10:42:22

I know this is quite subjective question and creativity is bit of an abstract thing. But I have been reading about this topic and also reflecting on my experience. 

There are some specific times when I felt I was being very creative. When I am encountering an interesting bug or trying to code up a cool feature. My motivation is higher and I am able to stay more focussed in these scenarios. 

I was wondering if I can do something to put myself in situations where I get this kind of creative boost.

What do you think? Is it something you wonder about?
Landscape of AI Tools: A Look at the Most Popular Solutions
Tags: ai, programming, cloud, infrastructureascode
Published: 2023-09-01 10:31:17

Artificial Intelligence (AI) has rapidly evolved from a futuristic concept to a tangible reality, revolutionizing industries across the board. Lets take a look on most popular AI tools:


**1. TensorFlow: Powerhouse of Deep Learning**
TensorFlow, developed by Google Brain, is a leading open-source framework for deep learning and neural network development. Its flexibility and scalability make it a favorite among researchers and developers alike.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/59yxz6o4aetu4tbnm01o.png)



**2. PyTorch**
Backed by Facebook's AI Research lab, PyTorch is preferred by researchers for its ability to build and modify networks on-the-fly. 

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dbnezszhpa7q0zv2jire.jpg)


**3. Scikit-learn:**
Its user-friendly API and extensive documentation make it an excellent starting point for understanding and implementing machine learning concepts.

**4. IBM Watson: AI for Businesses**
From natural language processing to computer vision, Watson offers pre-trained models and APIs that facilitate the integration of AI capabilities into various applications. 

**5. OpenAI GPT-3**
OpenAI's GPT-3 has taken the AI world by storm with its advanced natural language processing capabilities. This language model can generate human-like text, translate languages, answer questions, and even write code snippets.

**6. H2O.ai**
It provides tools for data preprocessing, model selection, and deployment, making it an appealing choice for organizations aiming to derive insights from their data without diving into complex technicalities.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/gsi8n0ivfcm6xsd4ensr.png)

**7. Microsoft Azure AI: Cloud-Powered Intelligence**
Microsoft Azure AI is a comprehensive suite of AI tools. From cognitive services that enable speech and image recognition to Azure Machine Learning for model development and deployment.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/egvj215ygmws34jrc0q3.png)

**Conclusion**

The world of AI tools is a vibrant ecosystem that empowers developers, researchers, and businesses to harness the power of artificial intelligence. From deep learning frameworks like TensorFlow and PyTorch to versatile libraries like scikit-learn, these tools play a crucial role in democratizing AI technology. As AI continues to shape industries and innovation, these popular tools provide the foundation for realizing the potential of intelligent systems across a wide range of applications.
Mastering Data Science: Unraveling the Power of the Random Forest Algorithm
Published: 2023-09-01 10:17:02

In the realm of data science, where complex data meets innovative algorithms, the [Random Forest Algorithm](https://www.almabetter.com/bytes/tutorials/data-science/random-forest) stands out as a formidable tool. If you're considering a [data science course](https://www.almabetter.com/courses/full-stack-data-science), understanding the potential of the Random Forest Algorithm is crucial. In this blog, we will explore the Random Forest Algorithm, its significance in data science, and how you can harness its power to excel in your data science journey.

What is the Random Forest Algorithm?
The Random Forest Algorithm is a versatile and powerful machine learning technique used for both classification and regression tasks. It's an ensemble learning method that combines the predictions of multiple decision trees to make more accurate and robust predictions.

Why is Random Forest Important in Data Science?

Accuracy: Random Forest is renowned for its accuracy. It mitigates overfitting, a common issue in machine learning, by averaging the predictions of multiple trees.

Versatility: It can be applied to a wide range of data science problems, from predicting customer churn to image recognition.

Feature Importance: Random Forest provides insights into feature importance, helping data scientists identify the most influential variables in their models.

Handling Missing Data: It can handle missing data effectively without the need for extensive data preprocessing.

How to Master Random Forest Algorithm in Your Data Science Course:

Understanding Decision Trees: To grasp Random Forest, it's essential to first understand decision trees, as Random Forest is an ensemble of these trees.

Hands-On Practice: Apply the algorithm to real datasets. Experiment with hyperparameters and explore its behavior.

Feature Engineering: Learn how to select and engineer features effectively, as this greatly impacts the algorithm's performance.

Tuning Hyperparameters: Fine-tune Random Forest hyperparameters to optimize its performance for your specific problem.

Ensemble Learning: Comprehend the principles of ensemble learning and how Random Forest combines multiple decision trees to make predictions.

In Conclusion:
As you embark on your data science course, the Random Forest Algorithm is a valuable asset to master. Its versatility, accuracy, and ability to handle complex data make it a sought-after skill in the field of data science. By understanding its mechanics, experimenting with real-world datasets, and fine-tuning its hyperparameters, you can leverage the power of the Random Forest Algorithm to excel in your data science journey. Whether you're predicting stock prices or diagnosing diseases, this algorithm can be a game-changer in your data-driven endeavors.
Webhook vs API Polling
Published: 2023-09-01 10:28:24

Webhook is an HTTP-based callback function which enables event-driven, lightweight communication between two application. Another way to think about webhooks is that they are push notifications between apps. The server detects that an event has occurred which triggers it to send a response to the client.
API polling involves frequently submitting queries to the same endpoint and comparing the results to see whether any information has changed.

Api polling is used when the update is not needed in the real time and updates are very frequent. On the other hand, if the system requires updated data in real time or updates are not very frequent, webhooks are the better solution.
cls3, Búsqueda y Eliminación Masiva de Buckets S3
Tags: aws, cli, s3
Published: 2023-09-01 10:12:11

## **Introducción**
La herramienta CLI "cls3" sirve para limpiar (**<u>CL</u>**ear) los buckets de Amazon **<u>S3</u>** (AWS). **Vacía** los buckets de S3 o simplemente elimina el bucket. 

Nota: puedes eliminar todos los objetos y versiones/marcadores de eliminación (delete marker). 

Esta herramienta agiliza la tarea de encontrar y seleccionar múltiples buckets de S3 para su limpieza o eliminación.

**Descargo de Responsabilidad**
_Es importante destacar que esta herramienta no es un producto oficial de Amazon Web Services (AWS). Se trata de una solución desarrollada por la comunidad y se proporciona "tal cual", sin garantías de ningún tipo. Al utilizar esta herramienta, lo haces bajo tu propio riesgo y responsabilidad._

## Instalación
**Homebrew**

```
brew install go-to-k/tap/cls3
```
**Binarios**
Releases: https://github.com/go-to-k/cls3/releases

**Git Clone e instalación (para desarrolladores)**

```
git clone https://github.com/go-to-k/cls3.git
cd cls3
make install
```

## Cómo Usarlo

```
cls3 -b <bucketName> [-b <bucketName>] [-p <profile>] [-r <region>] [-f|--force] [-i|--interactive]
```
donde:

- -b, --bucketName: opcional
   - Nombre del Bucket
     - Debe especificarse en modo **NO** interactivo
     - De lo contrario (en el modo interactivo), ¡**no puedes** definirlo!
   - Se permiten **especificaciones múltiples**.
     - cls3 -b test1 -b test2
- -p, --profile: opcional
   - Nombre del perfil de AWS
- -r, --region: opcional(default: ap-northeast-1)
   - Región de AWS
   - No es necesario tener en cuenta esto ya que se puede utilizar en múltiples regiones.
- -f, --force: opcional
   - ForceMode (Elimina el bucket junto con los objetos)
- -i, --interactive: opcional
   - Modo interactivo para la selección de buckets

## Modo interactivo
**Selección del nombre del Bucket**

En el modo interactivo (**opción -i**), puedes buscar nombres de buckets y seleccionar buckets.

Está diseñado para funcionar y permitir eliminaciones **a través de diversas regiones**, eliminando la necesidad de preocuparse por la configuración regional específica.

Puede estar vacío.

```
❯ cls3 -i
Filter a keyword of bucket names: test-goto
```

Luego seleccionas nombres de buckets en la interfaz de usuario.

```
? Select buckets.
  [Use arrows to move, space to select, <right> to all, <left> to none, type to filter]
> [x]  test-goto-bucket-1
  [ ]  test-goto-bucket-2
  [x]  test-goto-bucket-3
```

Más info: https://github.com/go-to-k/cls3
Unlocking Your Future: Pay-After-Placement Data Science Courses
Published: 2023-09-01 10:06:36

The world of education is evolving, and so are the financial models that make it accessible. If you're passionate about data science but hesitant about the upfront costs, [Pay-After-Placement](https://www.almabetter.com/bytes/articles/top-pay-after-placement-courses-in-india) data science courses might be the game-changer you've been waiting for. In this blog, we'll delve into the innovative concept of pay-after-placement data science courses and how they're transforming the landscape of education and career opportunities. Discover how you can pursue your data science dreams without the financial burden.

The Rise of Pay-After-Placement Data Science Courses:

Accessibility for All:

Traditional education often comes with hefty tuition fees upfront, making it challenging for many aspiring data scientists. Pay-after-placement courses eliminate this barrier by allowing you to start your data science journey with minimal financial stress.

Aligned Incentives:
In this model, educators have a vested interest in your success. You pay tuition fees only after securing a job, ensuring that your educational provider is invested in equipping you with the skills and support needed to land a high-paying data science position.

Risk Mitigation:
Worried about the return on investment? Pay-after-placement courses minimize risk. You invest your time and effort, and your payment is contingent upon reaping the benefits through a successful career.

Holistic Learning:
These courses often focus on a well-rounded skill set, covering not only technical data science skills but also interview preparation, resume building, and soft skills development to enhance your employability.

Choosing the Right Pay-After-Placement [Data Science Course](https://www.almabetter.com/courses/full-stack-data-science):

Accreditation: Ensure the course is offered by a reputable institution with the necessary accreditations.

Curriculum: Assess the curriculum to ensure it covers the comprehensive skills needed for a successful data science career.

Placement Record: Research the program's placement track record to gauge its effectiveness.

Reviews and Testimonials: Seek feedback from alumni to understand their experiences and career outcomes.

Career Support: Evaluate the level of career support provided, including interview preparation and job placement assistance.

In Conclusion:
The emergence of pay-after-placement data science courses is reshaping the educational landscape, making data science education accessible to a broader audience. With reduced financial risks and a focus on career outcomes, these programs offer a path to pursue your data science dreams without the burden of upfront tuition fees. It's an innovative model that aligns the incentives of educators with the success of their students, offering a promising avenue for aspiring data scientists to thrive. Unlock your data science potential and explore these courses to embark on an exciting journey towards a rewarding career.
Find contract on France
Tags: contract, contractor, freelance, freelancer
Published: 2023-09-01 10:05:01

Find a contract in France is more easiyer than other countries. The fact is that the job market in France is lead by "CDI", is unlimited contract between the employees and the employer.
Jobseeker prefer this type of contract because is harder to fire you so is more stable. So for all services they prefer for exemple to rent to people who are in "CDI".
Contractors are easily fire but they earn much more. Companies pay more for contractors because they have more liberty to fire them quickly to change team.
The big part of contractors are developers. They earn much more and they have the liberty to change project when they want. They find contract job on [Freelance Dispo](https://freelance-dispo.fr/) for example with the job content, the duration and the rate per day.
With the inflation more and more developer are thinking choosing the contractor way to increase their income.
Getting Started with the Vue Rich Text Editor Component
Tags: webdev, vue
Published: 2023-09-01 09:59:54

Learn how to add the Syncfusion Rich Text Editor component to a Vue application. The Vue Rich Text Editor is a feature-rich HTML and Markdown editor. It is widely used to create blogs, forum posts, notes sections, support tickets, comment sections, messaging applications, and more. 

The control provides an efficient user interface for a better editing experience with mobile support. It has a variety of tools to edit and format rich content and return valid HTML markup or Markdown (MD) content. It allows users to insert images, links, tables, and lists with its modular architecture. 

This video demonstrates how to add a Rich Text Editor to an app and add content to it. It shows how to display the desired items in the toolbar and render them using HTML elements. Lastly, it explains how to retrieve the formatted content of the Rich Text Editor. Easy to integrate third-party libraries like spell checker, code mirror, etc., with the Rich Text Editor to improve the content in the Vue HTML text editor. 

You can make a floating toolbar or inline editor that allows selection of any editable element on the page and editing in place. The Rich Text Editor has a highly responsive layout and an optimized design for desktops, touch screens, and smart phones. It works well on all mobile phones that use iOS, Android, or Windows OS. 

**Product overview:** https://www.syncfusion.com/vue-components/vue-wysiwyg-rich-text-editor

**Explore our tutorial videos:** https://www.syncfusion.com/tutorial-videos

**Example project:** https://github.com/SyncfusionExamples/getting-started-with-the-vue-rich-text-editor-component
 

{% youtube UfzKsdkxGpM %}
A Beginner's Journey to Expert
Tags: webdev, beginners, javascript, scss
Published: 2023-09-01 09:59:13

Hey! I am Jushen Dhillon, an aspiring software engineer passionate about programming. Less than three months ago, I thought I was going to be an engineer, but at the end of my first year at Uni, I had a sudden realization that I deeply love programming. It required some serious introspection to realize that's what made me tick; I was also forced to reconsider my passion as another year spent taking Biomedical Engineering courses would lead me further down a path that I knew, in my heart, I did not want to follow. So, after consulting with my parents, I switched majors and fully embraced computer science. My parents, who I could not be more grateful for, supported my decision and funded my enrollment in the UCI Full-Stack Bootcamp, and so far, my time as a cohort member has been a fantastic experience that has enriched my knowledge and skills. My instructor, Logan Garland, and TA, David Cox, are savvy programmers and great resources for my learning. I am grateful to have them and thank them for everything they taught me.

Recently, I have spent a good portion of my days coding, whether working on projects, homework assignments, or expanding my portfolio. I spent a couple of hours working on my portfolio to begin applying for Software Engineering internships. I figured out how to implement an animated background image for the portfolio's homepage. The image, attached to this post, projects a cool and calming vibe that will fit the theme of my portfolio. To apply the stylesheet of the background image, I had to familiarize myself with Sass (SCSS) because the stylesheet was written in that language. Sass incorporates features native to JavaScript into CSS to avoid redundancy and adhere to the DRY principle. It's an interesting and unique language, and I will continue to practice it. 

Tomorrow, I will continue working on my portfolio with the goal of showcasing my work to potential employers as soon as possible. And as I progress in my programming ventures, I will diligently document all that I learn.
Cara implementasi Git Stash
Tags: git, tutorial, programming, productivity
Published: 2023-09-01 09:56:55

Saya akan menjelaskan cara implementasi `git stash` kepada Anda. Perintah `git stash` digunakan untuk menyimpan perubahan yang belum di-commit di dalam repositori Anda sehingga Anda dapat beralih ke cabang lain atau mengatasi situasi darurat tanpa harus melakukan commit terlebih dahulu. Berikut adalah langkah-langkahnya:

1. Mendeteksi Perubahan:
Sebelum Anda menggunakan `git stash`, pastikan Anda berada dalam direktori repositori Anda dan memiliki perubahan yang belum di-commit. Anda dapat menggunakan `git status` untuk melihat perubahan-perubahan yang belum tercommit.

2. Gunakan `git stash`:
Untuk menyimpan perubahan Anda di dalam stash, jalankan perintah berikut:

`git stash save "pesan stash (opsional)"`

Pesan stash adalah opsional dan dapat digunakan untuk memberikan deskripsi singkat tentang perubahan yang Anda simpan.

3. Pindah ke Branch Lain atau Beresiko:
Setelah Anda menyimpan perubahan di dalam stash, Anda bebas untuk beralih ke cabang lain atau melakukan tindakan yang mungkin berisiko pada repositori tanpa perlu khawatir tentang perubahan yang belum di-commit.

4. Kembalikan Stash:
Ketika Anda ingin kembali ke perubahan yang telah Anda simpan di dalam stash, Anda dapat menggunakan perintah `git stash apply` atau `git stash pop`. Perbedaannya adalah bahwa `git stash apply` akan mempertahankan stash di dalam daftar stash, sedangkan `git stash pop` akan menghapusnya setelah mengaplikasikannya.

`git stash apply`
atau
`git stash pop`

5. Hapus Stash (Opsional):
Jika Anda ingin menghapus stash setelah mengembalikannya, gunakan perintah:

`git stash drop`


6. Daftar Stash:
Anda dapat melihat daftar stash yang ada di repositori dengan perintah:


`git stash list`

 
7. Mengembalikan Stash Khusus:
Jika Anda memiliki beberapa stash dan ingin mengembalikan salah satu dari mereka, Anda dapat menggunakan perintah `git stash apply` atau `git stash pop` diikuti oleh nama stash yang sesuai dari daftar stash. Contoh:

`git stash apply stash@{2}`
 
Perintah tersebut untuk Mengembalikan stash nomor 2


Itu dia, langkah-langkah implementasi dasar untuk menggunakan `git stash` dalam repositori Anda. Jangan lupa untuk selalu memeriksa dokumentasi resmi Git atau menjalankan `git stash --help` untuk informasi lebih lanjut tentang opsi dan penggunaan perintah ini.
Kuinka ottaa yhteyttä amazon in asiakaspalveluun Suomi?
Tags: webdev, beginners, programming
Published: 2023-09-01 09:56:04

Hei, olen Johanna kielo Helsingistä. Olen amazon yhteystiedot suomi yhteyshenkilö. Työskentelen tukiyrityksessä, jossa he tarjoavat [amazon asiakaspalvelu suomi](https://asiakaspalvelunumeroyhteystiedot.com/amazon-suomi-yhteystiedot.html****). Työskentelen siellä amazon suomi yhteystiedot päällikkönä. Jos sinulla on ongelmia amazon asiakaspalvelu puhelinnumero voit ottaa yhteyttä amazon suomi asiakaspalvelu yhteystiedot.