teleren/devto huggingface dataset:
Consistency Is All That Matters! Lessons from Atomic Habits 🌱🚀
Tags: beginners, programming, productivity, news
Published: 2024-04-04 16:21:28

Consistency means doing something in the same way over and over again. It's like following a pattern or a routine.

It's like a habit of doing something consistently, whether it's practising a skill, working on a project, or pursuing a goal.

It's just **"showing up every day."**

Work done towards that routine can vary but can't break. That breaks the learning cycle.

_For example, if you want to get better at playing the piano, consistency means practising every day, even if it's just for a short time._

In coding, consistency might mean dedicating time every day to work on programming projects or learning new concepts.

It's about committing to your coding goals and making steady progress by consistently showing up and putting in the effort, day after day.

And hence, it's said that **"Consistency is the key to success."**

These 5 principles inspired by Atomic Habits will ensure you are consistent with coding:

## 1️⃣ MAKE IT FUN

Don't care about being correct whenever you start.

Have fun with programming!

Write a 100-line messy code for a number guessing game and post it on Twitter or share it with friends.

You enjoyed - that's what matters.

***

## 2️⃣ MAKE IT EASY

Do not attempt to make a ChatGPT clone as your first project.

Build simple stuff - a calculator that can add 2 numbers or an app that tells me how many letters I have in my name. 

You need to build confidence slowly.

***

## 3️⃣ MAKE IT ATTRACTIVE

See how much programming professionally pays, or plan how your dream app could make you a millionaire.

Feel motivated? Now go make it a reality.

***

## 4️⃣ MAKE IT CHALLENGING

Like gaming, programming is only fun when it gets a bit harder with each level you clear.

Done with the basic calculator app?

Now make it take complete expressions like 2 + ((2 / 3) * 8) or use third-party APIs to solve complete equations.

***

## 5️⃣ MAKE IT INEVITABLE

Announce your journey on Twitter or code together with your buddy - so when you lose all motivation, they'll poke you and get you back to coding.

This is something very useful.

***

## 🙌 Final Thoughts

For the last few months, I've been doing a lot of coding every day.

I've made some cool stuff.

It's been super fun and I've learned a ton

I even grew my blog to freaking **300K+ views and 26K+ followers**.

It's going so well, I can't stop now!

Comment about this topic and your views about it!

Okay, that's it for today!

Connect with me @ [Linktree](https://linktr.ee/arjuncodess/).

Follow me on @ [Twitter](https://twitter.com/arjuncodess/). Quality content coming soon!

Happy Coding! 🚀
Thanks for 26311! 🤗
How to scale a crawler for 1000 websites
Tags: webdev, architecture, database
Published: 2024-04-04 16:20:53

I have few architecture scaling questions.

For e.g Let say we are building a web based SEO crawler

You have a crawler that takes the seed/root url and then starts discovering all linked urls

Every new url it finds, adds it to the list

The crawler's job is to simply discover all the pages.

At the end of the crawl, it discovers say 500 total internal urls

Let say a single threaded crawler took 2 hours to discover all the 500 pages and do necessary processing. (there is a limit to how fast a crawler can discover links due to the fact that it is waiting on the website to deliver the response and often this takes few seconds)

The above steps are to crawl one root domain/seed URL.

Let us see how can we scale the operation.

Requirement: A web application with a crawler that is designed to crawl say 1000 websites each having around 500 pages and each website is scanned end-to-end every week.

​

For the above requirement, a single threaded crawler will simply not work as the math to scan 1000 websites would be 2000 hours and we simply cannot match the SLA of "processing each website every week".

Let say there are 160 hours available in a week (24x7 = 168 minus few for maintenance roughly 160 hours)

This leads us to 2000/160 = approx 13 crawlers

To keep things simple, let say each crawler is running on its own VM. We need just 13 VMs just for the crawlers.

We need a single big master database that will maintain the list of all the websites that are needed to be crawled.

Can MySQL or PostgreSQL server this purpose?

How to make each crawler smart enough so that it works only on its own subset of websites or URLs.
Even if two crawlers are working on the same website, it should make sure that it will be working on a different subset of urls to speed things up and not waste compute on the same URL scans.

6.1 Do we need to implement a queue mechanism in the database?

Scaling Up: If we scale up the VM to accommodate more than 1 crawler, is this a better design?

Scaling Horizontal: Azure and AWS provide auto-scaling of clusters. Does this kind of autoscaling still require the crawler to be smart ?

Any other considerations?
How exactly does NodeJS use the V8 engine?
Tags: javascript, node, v8, runtime
Published: 2024-04-04 15:46:42

When I was learning more about NodeJS and how exactly it works, I was faced with the following question: How does NodeJS exactly use the V8 engine?

I don't know if you know, but JavaScript is not a language that is compiled to machine level (transforming to bytes) itself. You need to use a compiler to make this magic for you. And that's exactly what engine V8 does. It took (somehow) the JS code and compiled it to your computer run and understand. Now, how it is done?

Firstly, the runtime needs to interpret what is written in your language and convert it to machine-level language. After, they took this code and compiled it. This process could take a while in some runtimes, and everything has to be optimized as much as possible to be efficient.

To overcome this problem, V8 doesn’t interpret everything first and then compile to binary. Otherwise, V8 has a Just-in-Time approach. That means it interpreter and compiler line by line at the same time. This saves time and makes the compiler faster.

Ok, but how NodeJS is involved?

NodeJS use the V8 engine in the heart of the application to compile all the JS code. But this is not the only use.

Going deeply, Node uses some of the V8 functionalities such as **Garbage Collector (GB), PromisseHooks, heaps and space statistics, serialization and deserialization.** Of course, all those functionalities have some Node implementation on top of that to become easy to apply. But if you want, you [can access these functionalities](https://nodejs.org/api/v8.html). **For instance, you can access the four lifecycles of a PromisseHooks (**init, resolve, before, and after stages). As one of the Node contributors (Erick Wendel) said,

> A lot of NodeJS is nothing more than an extension customized and amplified of V8 functionalities.

So, NodeJS needs a JavaScript runtime to interpret and compile its JS code. And back in time, the V8 engine was selected to do this job. Of course, some NodeJS functions were built on top of V8 functions and it’s incredible to see how they use these functions.

## Next steps

If you want to go deeply into your studies, I’d like to recommend some next steps to your studies. First of all, I strongly suggest the article series published by [Lucas Santos](https://dev.to/_staticvoid) called: **[Node.js Under The Hood](https://dev.to/_staticvoid/node-js-under-the-hood-1-getting-to-know-our-tools-1465).** He brilliantly explained a lot of what was mentioned here and more (for example he talks about how NodeJS does GB). 

Talking about GB, if you want to deeply understand this topic, I strongly recommend this article by [Peter Marshall](https://v8.dev/blog/trash-talk) one of the contributors to the V8 engine.

And if you want some hands-on experience to thrive in, please check this tutorial by [Erick Wendel creating NodeJS from scratch](https://www.youtube.com/watch?v=ynNDmp7hBdo).
Why should we learn the MERN stack?
Tags: mern, node, react, mongodb
Published: 2024-04-04 15:42:21

## Why should we learn the MERN stack?

Learning the MERN (MongoDB, Express.js, React, Node.js) stack offers several advantages:

**1. Full Stack Development:** MERN covers both the frontend and backend, providing a comprehensive understanding of web development.
**2. Popularity and Demand:** MERN is widely used in the industry, so mastering it can enhance career opportunities and job prospects.
**3. Flexibility:** Each component of the stack can be used independently, allowing developers to customize solutions based on project requirements.
**4. JavaScript Ecosystem:** MERN leverages JavaScript throughout the stack, enabling seamless integration and sharing of code between frontend and backend.
**5. Community Support:** Being open-source technologies, MERN has a large and active community, providing resources, tutorials, and support for developers.
**6. Scalability:** The MERN stack is suitable for building scalable applications, making it a preferred choice for startups and enterprises alike.
**7. Performance:** With tools like React for efficient rendering on the frontend and Node.js for non-blocking I/O on the backend, MERN applications can be highly performant.
Overall, learning the MERN stack equips developers with the skills and knowledge needed to build modern, dynamic web applications efficiently.


Post by: https://itrabbi.com/
Treasure Map Launches
Published: 2024-04-04 15:26:01

Treasure Map Launches Application Supporting Record Information Management
In partnership with Steven Burg, Treasure Map ensures real-time, fully auditable data/IP control, integrity and security.

Greenwich, CT  –  With a new data protection and access management application, Treasure Map, offers businesses, consumers and content creators real-time Record Information Management (RIM), which is secure, immutable and fully auditable. The Treasure Map application taps Polygon PoS to power Verify Protocol, utilizing enterprise-grade blockchain-enabled technology to ensure digital content remains secure and protected from unauthorized access by any entity or process.

Treasure Map offers a suite of robust security features including tamper-proof encryption and distributed storage, which ensures that data cannot be altered, accessed or used without the appropriate authorization. Additionally, the application enables businesses to create custom access controls and permission levels to ensure that only authorized users can access sensitive data. Treasure Map provides the ability to track access and usage of all data in real time. Each event or transaction is time-stamped and hashed.

“We are excited to have Steven Burg added as partner and board member, who was instrumental in the development of the PKzip drive, Steven plan to supplement that compression algorithm onto Treasure Map. 

Using Verify Media Protocol and APIs, Treasure Map is easy to use with an intuitive interface that allows all users to confidently manage their data/IP assets and access controls. It also provides detailed logs and audit trails, which enable businesses to monitor and track data access and usage in real time.

“Verify provides majority of what we were trying to achieve ourselves in developing our digital chain-of-custody solution. The simple digital notarization functionality Verify offers through its framework and developer-friendly API suite abstracts away huge amounts of complexity. Verify was exactly what we needed.” - Joshua Walton, Chief Intelligence Officer & Lead Software Engineer 

The launch of this new application comes at a time when data security is more important than ever. With more attack surfaces than ever before and the emergence of artificial intelligence, businesses and IP holders need to take proactive measures to protect their digital assets and sensitive information. Treasure Map is here to help.

For more information visit www.treasuremapinc.com.

About Treasure Map
Treasure Map, Inc., is a technology company that provides secure Record Information Management services. The “Proof-of-Ownership” platform we offer helps manage and secure and digital assets providing an auditable chain of custody.

About Verify 
Verify open- source protocol meant to establish the history and origin of registered data and built on Polygon PoS. On Verify users can register content in order to prove origination. Individual pieces of content are cryptographically signed on chain, allowing users to identify content from trusted sources using the Verify tools.
Roast my landing
Published: 2024-04-04 15:18:46

Hi,

Recently launched a new **SaaS kit** (already a crowded space but wanted to give it a try), it's aim is to reduce development time for a micro SaaS project by providing all the necessary features needed to quickly bootstrap a working prototype of the idea. Tech-stack (React, Next.JS, Prisma, Postgres).

Hopefully, with some marketing strategies, it could gain some traction and some revenue, as the kit offers some features not provided by other competitors especially in the tech stack that it is built on.

Here is the landing page. Looking forward to any suggestions, improvements I should add in the copy/ design of the site to make it more appealing.

**CODEPILOT:** https://www.codepilot.dev/
Balmorex Pro Controversial Warning 2024 Hoax EXPOSED Balmorex Pro Legitimate Or Real Must Read , Where To Buy Best Price!
Published: 2024-04-04 15:04:49

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New Event Alert: Developer Experience Summit
Tags: devops, developers, devex, webdev
Published: 2024-04-04 15:01:40

Calling all Developers!

Join us at the cutting edge of innovation in developer workflows and methodologies! The Developer Experience Summit is Europe's premier conference focused on empowering professionals in Developer Experience, Platform Engineering, and DevOps.

Explore advanced strategies crafted to streamline development processes, enhance the developer journey, and cultivate a culture that values Developer Experience to spark developer satisfaction and productivity.

Feel free to download our official agenda here: https://shorturl.at/nS025
Python Optimization with NumPy (Vectorization)
Tags: python, numpy, vectorization, optimization
Published: 2024-04-04 14:37:48

## Methods
I created different methods to simulate some data and compare these methods regarding their performance when increasing the sample size.

Method 1: Unvectorized method using Python list;
Method 2: Unvectorized method using Numpy array;
Method 3: Partially vectorized method (i.e., this method still utilizes a Python list and an explicit loop)
Method 4: Fully vectorized method (i.e., only use Numpy array and vectorization provided by Numpy)

See the code below

```python
def make_dummy_y_unvectorized1(x, vector_w, b, error_term):
    y = []
    m = x.shape[1]
    for i in range(m):
        y_i = 0
        for j in range(len(vector_w)):
            y_i += vector_w[j] * x[j, i]
        y_i = (y_i + b) * np.exp(error_term[i])

        y.append(y_i)
        y = np.array(y)
    return y

def make_dummy_y_unvectorized2(x, vector_w, b, error_term):
    m, n = x.shape
    y = np.zeros(n)
    for i in range(n):
        for j in range(m):
            y[i] += vector_w[j] * x[j, i]
    y = (y + b) * np.exp(error_term)
    return y


def make_dummy_y_vectorized1(x, vector_w, b, error_term):
    y = []
    for i in range(x.shape[1]):
        y.append((np.dot(vector_w, x[:, i]) + b) * np.exp(error_term[i]))
        y = np.array(y)
    return y


def make_dummy_y_vectorized2(x, vector_w, b, error_term):
    y = (np.dot(vector_w, x) + b) * np.exp(error_term)
    return y
```


![Comparison results between un-vectorization and vectorization methods](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/pxyns4w1fmflp6ievzey.png)

In the comparison chart, method 1 and method 2 show a sharp increase in the time it takes to finish calculations as the amount of data grows, indicating they're not well-suited for large tasks. Method 3 improves this by handling more data before slowing down. Method 4 - a fully vectorized method - stands out as the clear winner, maintaining a fast and consistent performance regardless of data size, showcasing its efficiency with heavy workloads.


[Source code](https://github.com/LeoUtas/python_optimization_with_numpy.git)


Have a nice day
Hoang
4: A "real" programming language?
Tags: codenewbie, beginners, programming
Published: 2024-04-04 14:31:43

After the somewhat demoralising experience of my 'byte-sized' CS50 attempt, those subsequent courses in the fundamentals gave me back some confidence in my ability to overcome the initially daunting challenge of learning to code. Moving on to learning the command line and git, and then finally building an actual website (as the culmination of yet _another_ codecademy course), my confidence and determination reached historic highs. I felt like the time was right to sample something a bit more hearty; to start learning a 'real' programming language.
Simple React Interview Questions and Answers 🔍
Tags: react, webdev, javascript
Published: 2024-04-04 14:30:06



1.What is state & props / Difference between state and props:
In reacting while building an application we'll break the page into small reusable components to make it more readable and to manage easily,
State: we've to use state to manage data inside a component.
Props: Props are some data that a component receives from another component
2. What "create-react-app" will do?
create-react-app will create a react project with necessary packages and bundlers (react by default has a bundler called web pack). It'll compile and run the project in localhost.
3. what is the robot.txt file in react?
if web designers create something on their website and don't want Google or other search engines to access it, they'll write it in robot.txt and it will be helpful for SEO too.
4. Types of components in react?
Functional components: A normal JS function that can manage multiple functions inside that.
Class-based components: created using class keywords in Javascript.
Functional is a new way, easy to use compared to class components
5. What is JSX?
JavaScript XML, which will be used to create HTML elements inside DOM.
6. what are Hooks in react?
Hooks are utility functions. to manage a state in functional components we'll use state (useState hook) from react.
useState: to create a special dynamic variable by re-rendering automatically.
UseState will return an array 
const [data,setData] = useState('')
The Importance of Including a Static Analyzer in Your Code
Tags: codequality, php, python, testing
Published: 2024-04-04 14:04:30

In software development, code quality is a critical factor for project success. That's why more and more development teams are turning to static analysis tools to ensure their code meets quality standards and is more maintainable in the long run. Two popular tools for this purpose are SonarQube and [PhpStan](https://phpstan.org/), although there are also important options for Python, such as [Flake8](https://flake8.pycqa.org/en/latest/) and [PyLint](https://pypi.org/project/pylint/).

## What is a Static Analyzer?

A static analyzer is a tool that examines source code without the need to execute it. It uses a set of predefined rules to detect potential errors, vulnerabilities, bad practices, and opportunities for improvement in the code. By identifying these issues early in the development cycle, static analyzers help prevent costly errors and improve overall code quality.

## SonarQube: Comprehensive Analysis

SonarQube is an open-source platform that provides comprehensive code analysis across multiple programming languages. It uses a variety of metrics to assess code quality, including cyclomatic complexity, code duplication, test coverage, and compliance with coding standards. Additionally, SonarQube offers detailed reports and recommendations for code improvement, making it easier to identify and address issues.

## PhpStan: Specific Analysis for PHP

For projects developed in PHP, PhpStan is an invaluable tool. PhpStan performs static analysis of PHP code to identify potential type errors, undefined variable usage, calls to non-existent methods, and other common pitfalls. By providing accurate insights into the health of PHP code, PhpStan helps developers write more robust and secure code.

![PhpStan running example](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2zib5n4scsg1gg2vsayk.png)


## Static Analyzers for Python

In the Python ecosystem, there are several popular static analysis tools. Flake8 combines multiple tools (including PyFlakes, pycodestyle, and McCabe) to offer comprehensive analysis of Python code, focusing on readability and style. On the other hand, PyLint is a highly configurable tool that detects programming errors, style conventions, and other potential issues in Python code.

## Conclusion

Integrating a static analyzer like **SonarQube**, **PhpStan**, **Flake8**, or **PyLint** into your software development process can have a significant impact on the quality and maintainability of your code. These tools provide immediate feedback on potential code issues, allowing teams to address errors before they become major problems. Ultimately, investing in static analysis is a fundamental practice for ensuring the quality and reliability of the software we develop.
Qrcode Generator in Python
Tags: python, opensource, django, webdev
Published: 2024-04-04 13:56:39

Hey! We just uploaded our qrcode generator code in our github page.I t helps you to generate qrcode for the given data.Its main highlight is its in gui interface.It is made using tkinter

If you love❤ it don't forget to give a ⭐star.It also helps others

Check the project now: https://github.com/Pixelpuma/gui_qrcode_generator