teleren/devto huggingface dataset:
From the trenches of app design
Tags: webdev, javascript, beginners, frontend
Published: 2024-05-13 14:17:00

From the author of [Start with features, not apps](https://dev.to/buildwebcrumbs/start-with-features-not-apps-20oc): Skip the small stuff early on—like those tempting typefaces and intricate icons. They can wait!

Start with simple sketches or basic wireframes. Seriously, nothing fancy—just enough to get your ideas down. Make it about laying down the structure and avoid the temptation of getting lost in aesthetics. (Guilty as charged).

![Wireframe](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/qybsid7yqbc37wr2d50q.png)

Stick to designing in grayscale first. This little trick forces you to hone in on spacing, contrast, and overall layout without getting distracted by colors. Keep it as monochrome as Charlie until you nail what's important.

![Colorless](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vt0kvgecqotwhpe6nqvl.png)

Let’s apply this “no frills” strategy next time and see how fast we can iterate. We’ll save the snazzy colors for the final touches!

Catch up soon?

Check it out what we're building to make frontend development "piece-full" 👀:

{% cta https://www.webcrumbs.org/ %} Learn about Webcrumbs {% endcta %}
Music Monday — What are you listening to? (Storytelling Edition)
Tags: watercooler, discuss, music
Published: 2024-05-13 14:15:08

_cover image source: [GIPHY](https://giphy.com/gifs/andrewwk-music-video-andrew-w-k-ycDkMrYGnrolJE6DdS)_

**Story time, y'all! Our theme this week is storytelling and there are many ways to take this one. There are songs that tell amazing stories, but also songs with amazing stories behind them (think about the behind-the-scenes making of a song...) — both are welcome in this thread. And why stop there? If you'd like to highlight a specific artist/album/music video that is particularly good at storytelling — go for it! Beyond the art itself, we also have our own personal stories that are tied to music... what song were you listening to when you had your first kiss? What reminds you of your teenage years? What was your first concert? I'd love to hear any stories you have that are tied to music. And yet another angle, there's a whole cottage industry of podcasters out there covering music history — digging into the stories and lore of our musical heroes. Wanna talk about those stories and/or link me to your sources? Let's do it! Whatever goes, I'm an open book. 📖**

![Reading Rainbow logo. We see an open book floating against a purple sky. A rainbow is coming out of the book and the words "Reading Rainbow" are flowing out from the rainbow. It looks very old school and kind of grainy.](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2avowf03av5w9dkq9xqe.gif)

***

## How we do 

In this weekly series, folks can chime in and drop links to whatever it is they've been listening to recently + browse others' suggestions. You can follow the suggested genre if you'd like, but don't feel confined to it; you're free to suggest whatever you wanna. 🙌  

If you're interested in having other discussions about music, consider following the aptly named [#music discussions](https://dev.to/music-discussions) organization.

{% embed https://dev.to/music-discussions %}  

***

Siked to hear how y'all interpret this one! 😀

_Note: you can embed a link to your song using the following syntax `{% embed https://... %}`. This should work for most common platforms!_

Looking forward to listening to y'all's suggestions! 🎶

***

**🚨_p.s. Check out @rachelfazio's sister series to Music Monday, called [Podcast Palooza](https://dev.to/rachelfazio/series/26422)!_🚨**
Call for Papers: JS Builders Meetup!
Tags: speaking, community, javascript, opensource
Published: 2024-05-13 14:00:06

**Hello JavaScript Enthusiasts!**

I am thrilled to invite you to submit your speaker proposals for our upcoming JS Builders Meetup. 
Whether you are a seasoned speaker or looking to give your first talk, we want to hear from you.

## About JS Builders Meetup by Webcrumbs:
🎙️ JS Builders is a monthly online gathering to connect, inspire, and empower the JavaScript and web development community. 
Our meetups focus on JavaScript, web technologies, open-source community, and front-end development. 
**It's a perfect platform to share knowledge, showcase your projects, and learn from other industry experts.**

The meetup happens on the first Wednesday of each Month, at 4pm EST (6pm BRT, 10pm CET), **and the first one will be on June 5th.**

**Session Format:**
Each talk will be 25 minutes long, followed by a 5-minute Q&A session.

## We're Looking For Talks On:
- JavaScript (all flavors and frameworks)
- Web Technologies (HTML, CSS, Web APIs)
- Open Source Contributions
- Front-end Development Practices and Tools
- Case Studies and Success Stories in Web Development

## Why Should You Speak?
1. Share your expertise with a passionate community.
2. Increase your visibility and network within the tech community.
3. Get valuable feedback on your projects and ideas.
4. Help nurture and grow the JavaScript and open-source communities.


## How to Submit:
Please fill out the submission [form available here](https://forms.gle/RzkfEHzy3H2g7sJn8).

**Submission Deadline:**
This is an ongoing meetup, so our C4P is always open!


**We encourage submissions from speakers of all backgrounds and experience levels.** ⭐

If you’ve never spoken at a meetup before, this is a perfect opportunity to start!
For any questions or further information, feel free to contact me at community@webcrumbs.org

We look forward to your proposals and to seeing you at our next JS Builders Meetup!

## Want to watch our meetups?
[Please subscribe on our Youtube](https://www.youtube.com/@webcrumbs), where the meetups will be streamed!

Thanks for reading,

Pachi 💚
Salesman Voucher Tracker
Published: 2024-05-13 13:51:58

 [Create a coupon code and associate it  to a salesman.](https://prestatuts.com/store/home/43-salesman-voucher-tracker.html)

Allow them to share it with there clients and track the sales.


Create a coupon code and associate it  to a salesman.

Allow them to share it with there clients and track the sales.

Features:

Create as many  voucher codes you want;
Assign a voucher to each of your salesman;
Track the code of each salesman;
Motivate your sales team with competition. 


PrestaShop Version : 1.6 ; 1.7  and 8


Compatible Browsers : Google Chrome, Firefox, Yandex Br.,

Files Included : JavaScrip,PHP, CSS

Software Version : 1.6; 1.7 and 8

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/eoetmvx0oh7me3u1wgqz.jpg)
Top 5 Upcoming Medical and Pharma Trade Shows in Zurich | expostandzone.com
Published: 2024-05-13 13:50:23

Here are the 5 medical and pharma trade shows enlisted by the leading custom exhibition stand builders in Zurich, scheduled during the upcoming days.
[Top 5 Upcoming Medical and Pharma Trade Shows in Zurich](https://www.expostandzone.com/blog/top-5-upcoming-medical-and-pharma-trade-shows-in-zurich)
code2text
Tags: go, code2text, cli, tool
Published: 2024-05-13 13:44:51

---
title: code2text
published: true
description: CLI tool to copy project code to text
tags: go, golang, code2text, cli, tool
# cover_image: https://direct_url_to_image.jpg
# Use a ratio of 100:42 for best results.
# published_at: 2024-05-13 13:23 +0000
---

Sending code can be a pain. Virus filters, attachment rules, and more can make it difficult. Sometimes you just need a text file.

Enter [code2text](https://github.com/forrest321/code2text). This is a simple Go CLI tool that will traverse a project's directories and add all code to a single text document. This document can then be uploaded to an AI tool such as ChatGPT for analysis.

The created file will start with the directory structure, then the files. The defaults contain file extensions and directories to include/exclude for many popular languages, but can be overridden. Check the help `code2text -h` for details.

If, for some reason, you want to turn the output file into a directory structure resembling the original, use [text2code](https://github.com/forrest321/text2code). Note: this will not create a complete, compilable project as many files and directories may be excluded.
Python in DevOps: Automation and Configuration Management
Tags: devops, techtobe101, python, beginners
Published: 2024-05-13 13:43:26

In this final installment of our series, we'll focus on Python's role in automation and configuration management for DevOps professionals. From provisioning infrastructure to managing deployments, Python offers versatile solutions that streamline processes and enhance efficiency in DevOps workflows.

# Python in DevOps: Automation and Configuration Management

One of the key advantages of Python for DevOps is its ability to automate tasks and manage configurations effectively.


Python's versatility extends beyond just automation and configuration management. It is also widely used in monitoring and logging tasks within the DevOps ecosystem. With libraries like Prometheus and Grafana, Python can collect and analyze data from various sources, providing valuable insights into system performance and resource utilization.

## Python for Automation in DevOps

Python's simplicity and readability make it an ideal choice for automating repetitive tasks in the DevOps workflow. Whether it's provisioning infrastructure, deploying applications, or managing deployments, Python scripts can streamline these processes, reducing manual effort and enabling faster and more reliable deployments.

In addition to task automation, Python is increasingly being leveraged for continuous integration and continuous deployment (CI/CD) pipelines. By integrating Python scripts into CI/CD workflows, DevOps teams can automate testing, building, and deployment processes, leading to shorter development cycles and improved software quality.

## Python for Configuration Management in DevOps

Python's configuration management tools, such as Ansible and Puppet, provide powerful solutions for managing configurations in the DevOps environment. These tools allow DevOps professionals to define and enforce desired configurations across multiple servers and environments, ensuring consistency and reducing configuration drift.

Furthermore, Python's extensive library ecosystem offers modules for interacting with cloud services and APIs, making it a versatile choice for managing cloud resources in DevOps practices. From provisioning virtual machines to configuring network settings, Python's integration with cloud platforms like AWS, Azure, and Google Cloud simplifies infrastructure management and scalability.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/90yp9s9bilxsqy77pes6.png)

As we conclude our series, we've explored Python's pivotal role in automating tasks and managing configurations for DevOps professionals. Armed with the knowledge gained from this series, you're well-equipped to harness Python's power and efficiency in your DevOps endeavors. Stay tuned for more insights and updates on DevOps practices!
Python Libraries for DevOps
Tags: devops, techtobe101, python, beginners
Published: 2024-05-13 13:40:51

Python's extensive library ecosystem offers a treasure trove of tools and solutions for DevOps professionals. In this article, we'll explore the wide array of Python libraries tailored for various DevOps tasks, from configuration management to infrastructure monitoring.

# Python Libraries for DevOps

Python's extensive libraries provide a wealth of ready-made solutions for DevOps tasks. From managing configurations to automating deployments, there are libraries available for almost every aspect of DevOps.

One key advantage of using Python for DevOps is its versatility and ease of integration with existing tools and systems. Python's simple syntax and rich ecosystem make it a popular choice for automating various tasks in the DevOps pipeline.

## Overview of Python Libraries

Some of the popular Python libraries for DevOps include Ansible, Fabric, Puppet, and SaltStack. These libraries offer a range of capabilities, including configuration management, remote execution, and infrastructure orchestration. These libraries reduce the need for manual intervention, automate repetitive tasks, and enhance the efficiency of DevOps workflows.

- **Ansible**: Known for its agentless architecture, making it easy to set up and use for configuration management and application deployment.
- **Fabric**: Excels in remote execution and task automation, allowing DevOps teams to execute commands across multiple servers seamlessly.

## Choosing the Right Python Libraries for Your Needs

When selecting Python libraries for DevOps, it's essential to consider your specific requirements. Evaluate the features, community support, and ease of integration with your existing infrastructure. Additionally, consider the learning curve associated with each library and ensure that it aligns with your team's skillset.

Furthermore, it's beneficial to explore the extensibility of these libraries through custom plugins and modules. This flexibility allows DevOps engineers to tailor the functionality of the libraries to suit their unique use cases and infrastructure requirements.

With a comprehensive overview of Python libraries for DevOps, you now have access to a rich toolkit to streamline your workflows and enhance productivity. In the next articles, we'll delve deeper into specific use cases and best practices for leveraging these libraries in real-world scenarios.
Getting Started with Python for DevOps
Tags: devops, techtobe101, python, beginners
Published: 2024-05-13 13:39:41

Welcome to the practical side of DevOps with Python! In this article, we'll guide you through the basics of Python programming for DevOps professionals, from fundamental concepts to advanced techniques that streamline workflows and automation tasks.

# Getting Started with Python for DevOps

If you're new to Python or looking to enhance your skills for DevOps, it's essential to understand the basic concepts of the language and explore advanced techniques that can help automate and streamline your DevOps workflows.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vrgzr5lzo51ytxgwv8si.png)

## Python Fundamentals for DevOps

Before diving into advanced techniques, it's crucial to grasp the fundamentals of Python. Understanding variables, data types, conditional statements, loops, and functions is vital. Python's simplicity makes it an ideal starting point for those new to programming and allows for easy adoption in DevOps workflows.

Variables in Python allow you to store and manipulate data, while data types such as strings, integers, and lists help you work with different kinds of information. Conditional statements like if-else and loops such as for and while are essential for controlling the flow of your scripts. Functions in Python enable you to encapsulate reusable code, promoting modularity and code reusability in your DevOps projects.

## Advanced Python Techniques for DevOps

Once you have a solid foundation in Python, you can explore more advanced techniques for DevOps. These include object-oriented programming, exception handling, file manipulation, regular expressions, and interacting with databases. These advanced techniques will enable you to create more robust and efficient Python scripts for DevOps automation and management tasks.

Object-oriented programming (OOP) in Python allows you to organize your code into classes and objects, promoting code structure and reusability. Exception handling helps you manage errors gracefully, ensuring that your scripts can recover from unexpected situations without crashing. File manipulation capabilities in Python enable you to read, write, and manipulate files, making it easier to work with configuration files and log data in your DevOps workflows.

Now that you've embarked on your journey with Python for DevOps, you've gained essential insights into fundamental concepts and advanced techniques. Armed with this knowledge, you're well-equipped to dive deeper into the world of DevOps automation using Python in the upcoming articles.
🔍 Unleashing the Potential of useBlocker Hook in React Router 🚀
Tags: reactrouter, javascript, drafts, save
Published: 2024-05-13 13:30:39



In the dynamic landscape of React development, ensuring smooth navigation and data integrity is key. Enter the useBlocker hook in React Router, a powerful tool that enhances user experience by preventing accidental data loss during navigation transitions. 💡

💬 Description:
The useBlocker hook in React Router intercepts navigation attempts while there are unsaved changes on the page, displaying a confirmation dialog to prevent accidental data loss. This feature not only enhances the user experience but also instills confidence in your application's reliability. 🛡️

``` jsx
import { useBlocker } from 'react-router';

const CreatePostPage = () => {
  const [isBlocking, setIsBlocking] = useState(false);

  // Prompt user before leaving the page if there are unsaved changes
  useBlocker(
    (tx) => {
      if (isBlocking) {
        tx.prompt('You have unsaved changes. Are you sure you want to leave?');
      }
    },
    [isBlocking]
  );

  const handleInputChange = (event) => {
    // Detect changes and set isBlocking accordingly
    setIsBlocking(event.target.value.length > 0);
  };

  const handleSaveDraft = () => {
    // Logic to save draft
    console.log('Draft saved!');
    setIsBlocking(false); // Reset isBlocking after saving
  };

  return (
    <div>
      <h1>Create Post</h1>
      <input type="text" onChange={handleInputChange} />
      <button onClick={handleSaveDraft}>Save Draft</button>
    </div>
  );
};

export default CreatePostPage;

```


🔍 Why it Matters:
While the useBlocker hook is deprecated in recent versions of React Router, fear not! You can achieve similar functionality using vanilla JavaScript's window object. Simply utilize the beforeunload event listener to prompt users before leaving the page with unsaved changes. 💼

By leveraging React Router's useBlocker hook or JavaScript's window object, you can create seamless and intuitive web experiences that prioritize user satisfaction and data integrity. 🌟

#ReactRouter #FrontendDevelopment #UserExperience #CodeSnippet #ReactHooks #WebDevelopment 🚀
An Introduction to Python for DevOps Professionals
Tags: devops, techtobe101, python, beginners
Published: 2024-05-13 13:17:59

Welcome to the series "Python for DevOps Professionals," where we explore the intersection of Python programming and DevOps practices. In this introductory article, we'll lay the groundwork by examining the role of Python in the DevOps landscape and its significance for professionals in the field.

# An Introduction to Python for DevOps Professionals

Python has become an increasingly popular programming language in the field of DevOps. Its versatility, ease of use, and extensive libraries have made it a go-to language for automation, configuration management, infrastructure monitoring, and logging. In this article, we will explore the role of Python in DevOps and how it can benefit DevOps professionals.

## Understanding the Role of Python in DevOps

Python plays a crucial role in the DevOps landscape. It is a powerful scripting language that allows DevOps professionals to automate repetitive tasks, manage configurations, monitor infrastructure, and analyze logs. By leveraging Python, DevOps teams can streamline processes and enhance efficiency.


One of the key reasons Python is highly valued in DevOps is its versatility. Not only can Python be used for automation and infrastructure management, but it is also a popular choice for developing web applications, data analysis, and machine learning models within the same ecosystem. This versatility allows DevOps engineers to work on a wide range of projects using a single language, reducing the need to switch between different tools and technologies.

## The Importance of Python in DevOps

Python is widely used in DevOps due to its simplicity and readability. Its clean syntax makes it easier to write and maintain code, reducing development time and effort. Furthermore, Python's extensive libraries provide ready-made solutions for common DevOps tasks, saving development effort and enabling faster deployment.

Moreover, Python's active community plays a significant role in its popularity in the DevOps community. The abundance of online resources, tutorials, and community forums ensures that DevOps professionals can easily find support and guidance when working with Python. This collaborative environment fosters knowledge sharing and continuous learning, empowering individuals to stay updated with the latest trends and best practices in the industry.

As we conclude this introductory article, we've established Python's importance in DevOps and its versatility in automating tasks, managing configurations, and facilitating infrastructure monitoring. Stay tuned as we delve deeper into specific aspects of DevOps with Python in the upcoming articles of this series.
Deep Learning: Unleashing the Power of Neural Networks in AI
Tags: talentserve, deeplearning, neuralnetwork
Published: 2024-05-13 13:15:00


Deep learning has unlocked the true potential of AI by unleashing the power of neural networks. Its ability to learn from raw data, understand complex patterns, and make accurate predictions has led to breakthroughs in various fields, from computer vision and NLP to healthcare and autonomous systems. The study of deep learning, a branch of machine learning, has completely transformed artificial intelligence (AI). It is an effective method for teaching neural networks to find patterns in large datasets and forecast outcomes based on those analyses. Deep learning enables us to learn from data automatically, as contrast to traditional programming, which requires us to manually establish rules and logic.

The composition and operation of the human brain serve as an inspiration for neural networks. They are made up of artificial neurons, which are networked nodes that process information and gain experience. These artificial neurons are layered extensively in deep learning networks, which enables them to recognize intricate patterns in data.

Significant advancements in deep learning have been made in many different applications, such as:
Image recognition: With startling precision, deep learning algorithms are now able to recognize persons, objects, and even emotions in photographs. Improvements in medical diagnostics, surveillance systems, and self-driving automobiles have resulted from this.

Natural language processing (NLP): NLP is the study of how well computers comprehend and produce human language. Deep learning is largely responsible for these advances. Deep learning has made it possible for machines to comprehend and react to complicated queries, translate languages more correctly, and even produce writing that is realistic and of human caliber.

Speech recognition: Deep learning has transformed speech recognition, enabling very accurate computer comprehension of spoken language. As a result, voice assistants such as Alexa and Siri have been developed, and voice-based search and transcription services have been enhanced.

Although deep learning is still in its infancy, it is already a very potent tool. We anticipate seeing even more incredible developments in the years to come as we continue to create deep learning algorithms that are more complex and as we gather even more data.