teleren/devto huggingface dataset:
Litestyle CSS: A Lightweight Alternative to Full-Fledged Frameworks
Tags: webdev, beginners, css
Published: 2024-04-15 17:07:02

When it comes to CSS frameworks, Bootstrap is often the first name that comes to mind. But what if you don't need a comprehensive framework with a steep learning curve? What if you just want a lightweight, flexible solution for styling your web pages? That's where Litestyle CSS comes in.

*Litestyle CSS vs. Other Lightweight CSS Libraries*

Litestyle CSS is not the only lightweight CSS library out there. Pure CSS, Skeleton, and Milligram are just a few examples of other minimalistic CSS frameworks. So how does Litestyle CSS compare?

- Pure CSS is a more comprehensive framework that includes a set of pre-designed components, while Litestyle CSS is more focused on providing a set of utility classes.
- Skeleton is a more opinionated framework that includes a set of pre-designed components and a grid system, while Litestyle CSS is more flexible and customizable.
- Milligram is a more minimalistic framework that provides a set of utility classes, similar to Litestyle CSS, but with a different syntax and approach.

*Litestyle CSS Use Cases*

So when should you use Litestyle CSS? Here are a few use cases where Litestyle CSS shines:

- Small to medium-sized projects that require a lightweight and customizable CSS solution.
- Projects that need a fast and efficient CSS framework that won't slow down page load times.
- Developers who want a flexible and easy-to-use CSS framework that doesn't require a steep learning curve.

*Conclusion*

Litestyle CSS is a great choice for developers who want a lightweight, flexible, and easy-to-use CSS framework. While it may not be as comprehensive as full-fledged frameworks like Bootstrap, it provides a minimal set of classes and utilities that are perfect for small to medium-sized projects. By comparing Litestyle CSS with other lightweight CSS libraries
🚀 Reflecting on My Startup Journey: Learning, Challenges, and Growth 🚀
Tags: startup
Published: 2024-04-15 17:06:51

Originally posted on: [Linkedin](https://www.linkedin.com/posts/ghazi-khan_startupjourney-entrepreneurship-lessonslearned-activity-7185642820953657346-GD56?utm_source=share&utm_medium=member_desktop)

In 2015, I embarked on a journey fueled by passion and a thirst for learning. I started a startup aimed at aggregating local ITI institutes and Gulf job consultancies for users in my hometown, a bustling hub for such services. The potential was immense, with students and job aspirants flocking from neighbouring cities and states.

Despite the initial excitement and the app attracting over 1000 users, my startup faced hurdles that ultimately led to its closure. The challenges were twofold: lack of sufficient funds and a dearth of marketing knowledge. It was a humbling experience, teaching me valuable lessons that shaped my understanding of entrepreneurship.

What makes this journey special is that I started this venture as a side project while working full-time in another organization. My evenings were dedicated to learning PHP and building the app, often working till the early hours of the morning. Remarkably, I never let my commitment waver, always ensuring I was on time for my 9 am office hours.

The journey wasn't just about coding; it was about hustling and reaching out. After developing the app, I took to the streets, visiting consultancies and institutes after office hours to promote my creation. It was a testament to my determination and willingness to go the extra mile.

While the startup didn't reach the heights I envisioned, the experience was invaluable. It taught me the importance of financial planning, marketing strategies, and the resilience required in the startup ecosystem. Today, I carry these lessons with me as I continue to explore new opportunities and ventures.

For those curious about my startup journey, you can explore the web archive for a glimpse into the app's landing page. Every setback has been a stepping stone, and I'm grateful for the growth it has brought me. Here's to embracing challenges and turning them into opportunities for growth! 🚀
Web Archive URL: https://lnkd.in/dtGRVn2D

---

Follow for more updates on [LinkedIn](https://www.linkedin.com/in/ghazi-khan/) & [Instagram](https://www.instagram.com/codewithghazi/)
Learning AWS Day by Day — Day 37 — Amazon RDS, RedShift and Aurora — Overview
Tags: aws, cloud, cloudcomputing, beginners
Published: 2024-04-15 16:54:45

Exploring AWS !!

**Day 37:**

**Amazon RDS, RedShift and Aurora — Overview:**

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/kiugvc1w1y4oxvgpnnz8.png)

**RDS (Relational Database Service):**
- managed database service for databases using SQL as query language.
- Allows you to create database in cloud that are managed by AWS
- supports: Postgres, MySQL, MariaDB, Oracle, MS SQL server, Aurora (AWS proprietary database)
Advantages over using RDS v/s deploying Database on EC2:
- RDS is a managed service
- Automated provisioning, OS patching
- Continuous backups and restore to specific timestamp (Point-In-Time-Restore)
- Monitoring dashboards
- Multi-AZ setup for Disaster recovery
- Maintenance window for upgrades
- Scaling capability (vertical and horizontal)
- Storage backed by EBS
- Can’t SSH into instance

**Amazon RedShift:**
- user columnar data storage
- unlike SQL, data is not stored in rows but in columns, which is ideal for data warehousing.
- requires fewer reads
- best suited for online analytical processing
- does not require any indexes or materialized views.
- cluster — combination of set of nodes, leader node and one or more compute node. Leader node received the queries from an application, parses queries and makes an executable plan.
- 2 types of nodes — Dense Storage (DS) -> Storage optimized, Dense Compute -> Compute Optimized
- Nodes are scalable
- Single node has 160 GB storage and in a cluster we can have 128 compute nodes.

**Amazon Aurora:**
- proprietary technology from AWS (not open sourced)
- Postgres and MySQL are both supported as AuroraDB (means your drivers work as if Aurora was a Postgres or MySQL database)
- Aurora is AWS cloud optimized and claims 5x performance improvement over MySQL and 3x improvement over PostgreSQL on RDS.
- storage automatically grows increments of 10 GB to 128 TB.
- It can have 15 replicas while MySQL has 5 & replication is faster.
- failover in Aurora is instantaneous, its High availability native.
- Aurora costs more than RDS (20% more) but is more efficient.
Купить Баню бочку под ключ в Нижнем Новгороде.
Published: 2024-04-15 16:49:32

[Купить недорого баню бочку под ключ в Нижнем Новгороде и Нижегородской области](https://klen-house.ru/banya-bochka). Бани под заказ разных вариантов и размеров. Качественные недорогие бани бочки, [бани викинги под ключ в Москве и МО](https://klen-house.ru/banya-bochka-viking) можно заказать обратившись в компанию СК "КЛЕН-Хаус" Бани в наличии и под заказ от 5 рабочих дней с доставкой и установкой. Будем рады Вас видеть на выстовочных площадках в Московской и Нижегородской области.
Unveiling the Battle for Government Cloud Dominance: GCC vs. GCC High
Tags: ai, cloudcomputing
Published: 2024-04-15 16:44:43

Delve into the epic clash for government cloud supremacy! Our blog unveils the showdown between GCC and GCC High, offering insights, analysis, and expert commentary to guide you through the fray.

Discover the key differences, advantages, and challenges of each platform as they vie for dominance in the government sector. Gain a competitive edge with our in-depth coverage and stay ahead of the curve in the evolving landscape of government cloud services.

Don't miss out on this essential resource for understanding the GCC vs. GCC High rivalry. Visit our blog now to join the battle and chart your course to cloud dominance!
Visit our blog: [GCC vs. GCC High: The Battle for Government Cloud ](https://www.ecfdata.com/gcc-vs-gcc-high-the-battle-for-government-cloud-dominance/)
Call now: +1(702) 780-7900
#100DaysofCode
Tags: webdev, beginners, odinproject, 100daysofcode
Published: 2024-04-15 16:41:14

The Odin Project: 35% Complete (HTML Elements & Tags)
Day 4-5
Day 4:
Watched YouTube series: 20+ series about HTML and CSS.

Day 5:
Next topic (HTML Boilerplate).
Finished watching YouTube series: 20+ series about HTML and CSS.
Installed Google Chrome on WSL2 Ubuntu and installed Live Server.
Double-checked extra resources.
Reviewed the next lesson.
Music Monday — What are you listening to? (Album Artwork Edition)
Tags: watercooler, discuss, music
Published: 2024-04-15 16:31:50

_cover image source: [Giphy](https://giphy.com/gifs/thebeatles-3o7bucCJr3jDQZIhLG)_

**Last week, we got into favorite album _titles_, this week I wanna continue that trend, but with album _artwork_. Album artwork arguably began with recorded albums... it was a way for artists to attach visuals to their work. Sometimes, this was done in a straightforward way, just showing the face of the artist, perhaps holding their instruments and smiling while looking into the camera. But, as time has gone on, things have gotten much more creative... sometimes the musician will partner with an artist to formulate something that they feel fits the cohesive aesthetic of the album and often the musician is nowhere in sight! As we move into an era where the album is less important and everything is more digital, sometimes individual images get created for each song — occasionally a thread kinda ties them all together. In any case, I wanna ~~hear~~ see y'all's favorite album artwork; if it's not a traditional album but rather artwork related to an artist, that's totally fine too. Of course, as always, feel free to step outside the suggested theme and share something else. By the way, please steer clear of artwork that may violate our guidelines... if you want to show something that you think is borderline inappropriate, then please put a warning in your message and just link to the photo elsewhere!**

![The album cover for "The Velvet Underground & Nico" ... it's a drawing of a very ripe banana by Andy Warhol. The cover has been animated by a GIF artist and we can see the peel being peeled off to reveal a naked banana. According to Wikipedia, early copies of the album invited the owner to "Peel slowly and see", and peeling back the banana skin revealed a flesh-colored banana underneath.](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/9ak3zgz6vtoom0y3r21x.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 %}  

***

Let's see some album art! 🧑‍🎨

_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 checking out what y'all come up with! 🎶

***

**🚨_p.s. Check out @rachelfazio's sister series to Music Monday, [Podcast Palooza](https://dev.to/rachelfazio/series/26422)!_🚨**
Unlimited Health, ammo, nitro and Money Mod:
Tags: webdev, javascript, beginners, programming
Published: 2024-04-15 16:26:35


It sounds like you're referring to a modification or "mod" for a video game that provides unlimited health, ammo, nitro, and money. Mods like these are often created by players or fans of a game to enhance their gameplay experience. While they can add an extra layer of fun, it's important to remember that using mods can sometimes affect the balance [One shot kill mod](https://minimilitiamodapk.net/one-shot-kill-mod/)  and intended challenge of the game. It's also crucial to ensure that you're using mods in a way that's consistent with the game's terms of service and doesn't negatively impact other players if the game has online components.
What happens when you type a URL into your browser?
Tags: showdev, webdev, beginners, programming
Published: 2024-04-15 16:09:03

Every day, when you open your computer, you navigate to your favourite social networking, news, or e-commerce websites. You can get to this page by typing in the URL or by clicking on one of the page's links. Ever thought about what occurs in the background? How do you get the news when you type in the URL and press Enter? How did the images in this post look on your web browser? When your tweets and feeds appear in your browser, how are they secured?

We'll examine what occurs when you type a URL into your browser and hit Enter in this post. The browser, your computer's operating system, your internet service provider, the server where your website is hosted, and the services that operate on that server are all involved in the process from beginning to end. It's critical to comprehend potential trouble spots, know where to look for performance problems, and make sure your users are receiving a secure experience.

These are the steps that browser takes :

1. Finds out where the website is hosted on the server.
2. Establishes a connection with the host
3. Submits a request to obtain the particular page.
4. Processes the server's response
5. Shows the page and allows you, the visitor, to interact with the website

## IP addresses, servers, and websites

Websites are groups of files that instruct your browser on how to display the site, graphics, and data. These files are frequently HTML, CSS, Javascript, and pictures. It is neither scalable or dependable to host them on your personal computer because they must be available to everyone at any time, from anywhere. These files are kept on a potent external computer known as a server that is online.

The parts of the url is shown in the below image

![Image for parts of a URL](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/147kt5zf3nqqrmoj82ef.png)

A detailed explanation on what happens when a url is typed in the browser and when enter key is pressed is explained in the below video:

{% embed https://www.youtube.com/watch?v=mAw0ZxdgOiw %}

These are the 6 essential steps which happen when the url is typed in the browser

1. You enter a URL in your browser and press Enter.
2. The browser searches for the IP address associated with the domain.
3. The browser establishes a TCP connection with the server.
4. The browser sends an HTTP request to the server.
5. The server processes the request and generates a response.
6. The browser renders the content received from the server.

Thanks for reading, please give a like as a sort of encouragement and also share this post in socials which might benefit someone.

**Connect** ⬇️   
[**Twitter**](https://twitter.com/Dhanush_Nehru) **/** [**Instagram**](https://www.instagram.com/dhanush_nehru/) **/** [**Github**](https://github.com/DhanushNehru/) **/** [**Youtube**](https://www.youtube.com/@dhanushnehru?sub_confirmation=1) **/** [**Newsletter**](https://dhanushn.substack.com/) **/** [**Discord**](https://discord.com/invite/Yn9g6KuWyA)
ETL VS ELT (Data Pipeline)
Tags: datascience, dataengineering
Published: 2024-04-15 16:00:39


ETL vs. ELT: The Data Pipeline Showdown! 
Data pipelines are the workhorses of data engineering, moving data from source to analysis.  This post explores ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) approaches, along with data cleansing and transformation techniques.

ETL: Transform data before loading (like prepping ingredients before cooking).

ELT: Load data first, then transform within the target system (like throwing everything in the pot and then cleaning/chopping).
The right approach depends on factors like data size and processing needs.
Data pipelines also involve data cleansing and transformation:
Data Cleansing: Fixing errors, inconsistencies, and missing values in raw data.

Data Transformation: Preparing data for analysis through techniques like aggregation, joining tables, and deriving new features.

Python libraries like pandas and PySpark can be used for data cleansing and transformation.
This is your gateway to the world of data engineering pipelines.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/bjit17605cqzov047swv.jpg)

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/p07ssx4u0u8c211yftyr.jpg)

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/syy005g078s19nbrxk6b.jpg)

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/d2b9y8934mezwmft80t4.jpg)

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/orwuhrvw6jgjs340luj0.jpg)
TW Elements - HSLA colors. Free UI/UX design course
Tags: webdev, tailwindcss, tutorial, javascript
Published: 2024-04-15 16:00:00

# HSLA colours

Let's go back for a moment to the HSLA colour we used in our mask.

**Note:** _In fact, we could use color in any format. HEXA or RGBA color will work just as well. However, I recommend that you always use HSLA colors, because it is the easiest to adjust them when creating a design. We will learn more about this in future lessons._

**HSLA stands** for Hue, Saturation, Lightness, and Alpha. It is a way to represent colors in CSS.
- Hue (H): This is a degree on the color wheel from 0 to 360. 0 (or 360) is red, 120 is green, and 240 is blue. So, you can select a base color by moving around the color wheel.
- Saturation (S): This is a percentage value, 0% means a shade of gray (no color - achromatic), and 100% is the full color.
- Lightness (L): Also a percentage; 0% lightness is black, 100% lightness is white, and 50% lightness is "normal."
- Alpha (A): This is an optional parameter that defines the opacity of the color. It's a number between 0.0 (completely transparent) and 1.0 (completely opaque).

Pay particular attention to the 4. point - the last hsla color parameter defines opacity. By manipulating it, you can increase or decrease the intensity of the color and thus the The closer to 1, the darker it is, and the closer to 0, the brighter. Now it's 0.6, but if you increase it, for example, 0.9 becomes very dark, and up to 0.1 it becomes very light.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/eboux9d1eztlznpgqnfu.png)

hsla(0, 0%, 0%, 0.0) - fully transparent

hsla(0, 0%, 0%, 1.0) - fully opaque

**Changing colour of the Mask**

By manipulating hsla code you can change not only the intensity, but also the color itself.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ub4ig0w91ajv0gthypma.png)

You can even set a fancy gradient as a mask, but you need to use it as an inline CSS:

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/l8j3jn5syxo341n0o8lm.png)

HTML:

```
<div
  class="relative w-full overflow-hidden rounded-lg bg-cover bg-no-repeat">
  <img
    src="https://mdbcdn.b-cdn.net/img/new/standard/city/053.webp"
    class="w-full" />
  <div
    class="absolute bottom-0 left-0 right-0 top-0 h-full w-full overflow-hidden bg-fixed"
    style="background: linear-gradient(
      45deg,
      hsla(169, 84.5%, 52%, 0.7),
      hsla(263, 87.7%, 44.7%, 0.7) 100%
    );
  "></div>
</div>
```

**Note:** _You can easily transform a HEX or RGB color to HSL or vice versa with our [Colour Schemes Generator](https://mdbootstrap.com/docs/standard/tools/design/color-schemes/)._
Day 1 of 30 : Machine Learning
Tags: machinelearning, datascience, python, beginners
Published: 2024-04-15 15:56:46

Hey everyone I have started studying about machine learning and decided to share my journey with you guys. 
So today as it was my first day I got to know about the term Machine Learning and some of its fundamentals which I am sharing in this post.

## What is Machine Learning?

Machine Learning is a branch of **Artificial Intelligence** that gives computers the ability to learn without explicitly being programmed.
It was defined in the 1950s by AI pioneer **Arthur Samuel** as “the field of study that gives computers the ability to learn without explicitly being programmed.”

## Types of Machine Learning 

Machine Learning is broadly categorized in 4 types ->

1. Supervised Machine Learning -> In supervised machine learning the data is labeled ,meaning each example comes with a correct answer ,and the machine is trained on this data and a model is generated which gives accurate prediction for similar kind of data. For example training the machine for a given set of pictures of trees, flowers, leaves etc. labeled properly and after getting perfectly trained when a new similar input is given machine makes a prediction.

2. Unsupervised Learning -> In unsupervised learning the data is not labeled the machine learns by identifying pattern in data. In an unsupervised learning process, the machine learning algorithm is left to interpret large data sets and address that data accordingly. The algorithm tries to organize that data in some way to describe its structure. 

3. Reinforcement Learning -> Reinforcement machine learning trains machines through trial and error to take the best action by establishing a reward system. For example a robot is given some instructions ,whenever it takes a wrong decision it learns from it and for every right decision it is rewarded.

4. Semi Supervised Machine Learning -> Semi-supervised learning is similar to supervised learning, but instead uses both labelled and unlabeled data. In semi-supervised learning, the algorithm learns from a dataset that contains a small amount of labeled data and a much larger amount of unlabeled data.

Apart from theoretical part I learnt little about math's part also which I'll share in my next post till then stay connected :)
How can I improve my posts?
Tags: discuss, watercooler, help, career
Published: 2024-04-15 15:42:33

Hi everyone!
I hope till now you are enjoying my posts.

Right now, I just want to ask you all that, kindly give me some tips for improving my posts, and how can I provide you all quality content by pointing out my areas of improvement. You can go throug my posts and then let me know how can I progress in this journey. I really need support from all of you in my journey!

Thank you for your support till now.

Take care!
Stay tuned!
BẮT BUỘC ĐỌC KHI DÙNG APP
Tags: tlu, tluschedule
Published: 2024-04-15 15:34:16

1.Tại sao app KHÔNG TẢI ĐƯỢC lịch?
- **Tài khoản mật khẩu sai**
- **Hệ thống web trường sập**
- **Không có lịch học**

2.Tại sao tôi không thấy lịch sau khi đăng ký?
- **Lịch bạn mới đăng ký, cần chờ phòng đào tạo xét duyệt chính thức. (Lịch sẽ chuyển vào phần kết quả đăng ký học) lúc đó bạn có thể tải lịch**

3.Tại sao LỊCH HỌC TRÊN APP BỊ SAI?
- **Lich trên APP tải từ KẾT QUẢ ĐĂNG KÝ HỌC TRÊN WEB TRƯỜNG (trường hợp trường đổi lịch của bạn, bạn bắt buộc vào app tải lại lịch học)**
- **Lưu ý: APP KHÔNG BAO GIỜ SAI -> Chỉ web trường trả sai lịch học**