teleren/devto huggingface dataset:
4 ways ChatGPT can boost your programming
Tags: chatgpt, ai, programming, beginners
Published: 2023-01-03 15:15:59

Pretty much everyone is talking about how ChatGPT could replace programmers.
While I am not that worried about ChatGPT replacing me as a programmer any time soon, it would be a huge mistake to ignore this tool.

## 1) ChatGPT programming usecase 1: Explain complicated code
With its natural language processing capabilities, chatGPT can take a code snippet and break it down into easily understandable chunks.
I often use chatGPT when I am working in TypeScript - a language I am not yet very proficient with. 

## 2) ChatGPT programming usecase 2: StackOverflow replacement
Hate browsing or searching StackOverflow? Asking questions on StackOverflow may be even more intimidating.

What if you need to find an answer to some stupid question fast? Ask chatGPT! In many cases, it will be able to find the right explanation for you. What is more important is that chatGPT seems to take a bit of extra effort to write a response which is easy to understand.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/qx80unz8kclgvh6k7ti5.png)



## 3) ChatGPT programming usecase 3: Find errors in code
Another great use of chatGPT is its ability to quickly find errors in code. Just copy the code that you can't find an error in, and give chatGPT a try.

## 4) ChatGPT programming usecase 4: Copyediting
Very often non-native speakers get really worried about making grammar or spelling mistakes. 
Let's say you need to write an important memo which will be read by the entire organization... Well - write the memo and ask chatGPT for copy editing.

Feel free to watch this video for more details
{% embed https://www.youtube.com/watch?v=AHNlCo69W0s %}

#ai #chatgpt #ML #programming
Skills you need to become a successful Software Engineer
Tags: programming, webdev, javascript, productivity
Published: 2023-01-03 21:09:57

As a software engineer, you need to have a combination of hard and soft skills.

Your job involves writing code, reviewing code, and working with product developers and the project manager.

**"But this is not the case!"**

As any software Engineer can do, what do you need to do to stand out from the crowd?

I have broken things down so that you know how to succeed and stand out from the crowd.

let us take a look at the Hard skills you need to be a successful engineer.

Hard skills are technical abilities learned through education or professional development. These are skills for proficiency and competency.
A need to be successful software engineer needs to be familiar with:

1. Programming language
2. Data structure and algorithms
3. Testing and Debugging
4. containers

These are hard skills you need to be more familiar with if you want to be a successful software engineer who stands out from the crowd and drives more successfully. 

We shall take a first seat on soft skills in our next post.

Don't forget to leave a comment or add value to the above-mentioned.
Day 3/ 100DaysOfCode
Tags: beginners, programming, 100daysofcode
Published: 2023-01-04 00:50:21

**<u>Day 3 of 100DaysOfCode</u>**

Today was a long day - I started CS50 on edX and learned a lot in just the one lecture and also I played with the Scratch problem set. 

Once again on my solo project I played with the CSS Grid some more to get it looking the way I want, it looks good, will put it up later today on my github. 

Other things I did that had me writing code were: 

Helped in a community chat, which was good, it was a moment for recall on information and I liked that. 

<3 onward to day 4.
NFT Interview Questions
Tags: nft, nftinterview, interviewquestions, onlineinterveiwquestions
Published: 2023-01-04 06:39:16

Here are top 10 potential [interview questions on NFTs](https://www.onlineinterviewquestions.com/nft-interview-questions/) (non-fungible tokens):

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/c9ctpnn9cvg6sjhs6wl0.jpg)

1. Can you explain what an NFT is and how it differs from other types of cryptocurrency tokens?
2. How are NFTs used in the art world?
3. Can you give an example of a project or platform that utilizes NFTs?
4. What are some considerations to keep in mind when buying or selling NFTs?
5. How do NFTs ensure authenticity and ownership of digital assets?
6. What are some potential drawbacks or limitations of using NFTs?
7. In your opinion, what impact do you think NFTs will have on the art industry or other industries in the future?
8. How do you think the market for NFTs will evolve in the coming years?
9. Are there any legal or regulatory issues to be aware of when it comes to NFTs?
10. Can you discuss any notable projects or developments in the NFT space that you find interesting or important?

Finally, learn more [NFT Interview Questions and Answers](https://www.onlineinterviewquestions.com/nft-interview-questions/).
Gradient descent - why the partial derivative?
Published: 2023-01-22 09:45:35


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/xwflzfalb69k90nxxgsn.png)

Derivatives are an important tool in machine learning, and they are used in gradient descent algorithms to optimize the performance of a model. Gradient descent is an iterative optimization algorithm that is used to find the minimum of a given function. It works by taking small steps in the direction of the negative gradient of the function at each iteration. The size of these steps is determined by the derivative of the function at each point.

The derivative tells us how quickly a function is changing with respect to its input variables. This information can be used to determine which direction we should take our next step in order to minimize our cost function. By taking smaller steps in the direction of the negative gradient, we can ensure that we reach our minimum faster and more accurately than if we took larger steps.

**What will happen when we take larger steps ?**


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dr15o1jhmp2texwjvos5.jpeg)

When we take larger steps in Gradient Descent, it can cause the algorithm to overshoot the minimum point. This means that instead of converging to the minimum point, it will go past it and then oscillate around it. This can lead to slower convergence and longer training times.
In addition, taking larger steps can also lead to instability in the model. If the step size is too large, then the model may not converge at all or may diverge instead of converging. This can lead to inaccurate results or even complete failure of the model.





![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/8lhgnnyqvfq00ydqdpsa.png)



Finally, taking larger steps can also lead to local minima traps. If the step size is too large, then it may cause the algorithm to get stuck in a local minima instead of finding the global minima. This means that even though there may be a better solution available, the algorithm will not be able to find it due to getting stuck in a local minima trap.
 
So in conclusion , derivatives are an essential tool for optimizing models using gradient descent algorithms in machine learning. They provide us with valuable information about how quickly a function is changing with respect to its input variables, which allows us to take smaller steps towards our desired solution more accurately and efficiently than if we took larger steps without considering derivatives.
Technical books
Tags: webdev, javascript, beginners, tutorial
Published: 2023-02-05 07:42:38

In this post, we will be building a Technical Book class that inherits from the Book class from one of the previous challenges. The Technical Book class will have an additional element, edition. We will also provide a function that returns a string that includes the book's edition.



```
/**
 * Goal is to create a Technical Book class that inherits from
 * the Book class from one of the previous challenges.
 * It also has a fifth element, an edition.
 * Provide a function that returns a string that includes the book's edition
 */
```

First, let's start by creating the Book class and an instance of the TechnicalBook class.

```js
class Book {
  constructor(title, author, ISBN, currentCopies) {
    this.title = title;
    this.author = author;
    this.ISBN = ISBN;
    this.currentCopies = currentCopies;
  }
}
class TechnicalBook extends Book {
  constructor(title, author, ISBN, currentCopies, edition) {
    super(title, author, ISBN, currentCopies);
    this.edition = edition;
  }
}
```
To test the function we will write shortly it is important to create a few books, that we can use.

```js
const firstBook = new TechnicalBook(
  "The best technical Book",
  "mrs. Author",
  123456567,
  0,
  "first"
);
const secondBook = new TechnicalBook(
  "The mostest technical Book",
  "mr. Author",
  9876543,
  4,
  "third"
);
const thirdBook = new TechnicalBook(
  "The best Book of technicalities",
  "mrs. Author Jr.",
  1212345121,
  5,
  "fifth"
);
```
To get the information about the book, we can create a function that returns a string that includes the book's information.

```js
TechnicalBook.prototype.bookEdition = function () {
  return console.log(
    `The book ${this.title} was written by ${this.author} with ISBN: ${this.ISBN} and is the ${this.edition} edition. We have ${this.currentCopies} in stock`
  );
};

firstBook.bookEdition();
secondBook.bookEdition();
thirdBook.bookEdition();

/*Result:
The book The best technical Book was written by mrs. Author with ISBN: 123456567 and is the first edition. We have 0 in stock 
The book The mostest technical Book was written by mr. Author with ISBN: 9876543 and is the third edition. We have 4 in stock 
The book The best Book of technicalities was written by mrs. Author Jr. with ISBN: 1212345121 and is the fifth edition. We have 5 in stock 
*/
```

And that's it! With this solution, we were able to create a TechnicalBook class that inherits from the Book class and also has an additional element, edition. We also provided a function that returns a string that includes the book's edition. This can be further customized and expanded upon to suit your needs.
Half-baked knowledge
Tags: beginners, programming
Published: 2023-01-13 19:30:04

This video is (I think) targeted towards new language learners. If feels applicable with coding as well. 

{% embed https://www.youtube.com/watch?v=i8oDLO7GPsk %}

It further supports my initiative to make multiple passes on difficult / new material and to move on without fully understanding. 

The word **the** is hard to define or understand. If I had put all my effort into defining **the** before learning to speak any other word then my growth would have been stunted. By moving on and partially understanding thousands of words I've been able to put **the** in the necessary context to give it meaning. 

Likewise, **downcasting** means little to me at the moment. I made an honest attempt to understand it, and now my strategy is to cover enough ground where I find myself needing to **downcast**. Then I can revisit a concept that is already slightly familiar.  

96
Type of data in hadoop
Tags: bigdata, hadoop, datascience
Published: 2023-01-14 05:17:00

First developed by Doug Cutting and Mike Cafarella in 2005, Licence umder forApache License 2.0
Apache Hadoopis an open source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. The Hadoop Distributed File System (HDFS) is Hadoop's storage layer. Housed on multiple servers, data is divided into blocks based on file size. These blocks are then randomly distributed and stored across slave machines. HDFS in Hadoop Architecture divides large data into different blocks
Cloudera HadoopCloudera's open source platform, is the most popular distribution of Hadoop and related projects in the world .

** What is big data ?
**
Big Data is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently. Big data is also a data but with huge size. For this we can useApache Hadoopandcloudera hadoop



## Type of  data used in big data(Apache Hadoop / Spark)?

**Structured –
**that which can be stored in rows and columns like relational data sets
 

Unstructured – data that cannot be stored in rows and columns like video, images, etc.
Semi-structured – data in XML that can be read by machines and human
Unstructured
Structured –that which can be stored in rows and columns like relational data sets

**Semi-structured
**Unstructured – data that cannot be stored in rows and columns like video, images, etc.

Lights
Semi-structured – data in XML that can be read by machines and human

## About Apache Hadoop

Hadoop is the most important framework for working with Big Data. The biggest strength of Hadoop is scalability. It can upgrade from working on a single node to thousands of nodes without any issue in a seamless manner.
Advantages of hadoop
Apache hadoopstores data in a distributed fashion, which allows data to be processed distributedly on a cluster of nodes

In short, we can say thatApache hadoopis an open-source framework. Hadoop is best known for its fault tolerance and high availability feature
Apache hadoopclusters are scalable.
TheApache hadoopframework is easy to use.
In HDFS, the fault tolerance signifies the robustness of the system in the event of failure. The HDFS is highly fault-tolerant that if any machine fails, the other machine containing the copy of that data automatically become active.
AWS AI Services: Unleashing the Power of Artificial Intelligence
Tags: ai, aws, machinelearning, automation
Published: 2023-01-14 06:59:13

**Introduction:**

AWS offers a wide range of AI services that can help organizations of all sizes to leverage the power of artificial intelligence.
From image and text analysis to natural language processing and machine learning, AWS has something for everyone.

**Amazon SageMaker:**
Amazon SageMaker is a fully-managed service that enables developers and data scientists to build, train, and deploy machine learning models at scale.
It includes built-in algorithms, pre-built environments for popular machine learning frameworks, and integration with other AWS services.

**Amazon Rekognition:**
Amazon Rekognition is an image and video analysis service that can be used for tasks such as object and scene detection, facial analysis, and moderation of image and video content.
It can be easily integrated into applications such as security systems, media platforms, and customer service chatbots.

**Amazon Transcribe:**
Amazon Transcribe is a real-time speech-to-text service that can be used to transcribe audio and video files in multiple languages.
It can also be used for tasks such as speaker identification, language identification, and transcription of multiple speakers in a single audio file.

**Amazon Translate:**
Amazon Translate is a neural machine translation service that can be used to translate text from one language to another.
It supports a wide range of languages and can be integrated into applications such as chatbots, e-commerce platforms, and customer service systems.

**Amazon Comprehend:**
Amazon Comprehend is a natural language processing service that can be used for tasks such as sentiment analysis, language detection, and named entity recognition.
It can also be used to extract insights from unstructured text data such as customer reviews and social media posts.

**Conclusion:**
AWS AI services provide a powerful and easy-to-use platform for organisations of all sizes to leverage the power of artificial intelligence.
Whether you're a developer, data scientist, or business leader, there's something for everyone in the AWS AI portfolio.
Key notes for Frontend Web development and Steps for deploying app on AWS
Tags: frontend, webdev, aws, cloud
Published: 2023-01-14 09:44:50

I. Introduction

Explanation of front-end web development and its importance
II. User Experience (UX)

Importance of user-centered design
Techniques for improving UX, such as user research and prototyping

III. Web Design

The role of visual design in front-end development
Best practices for layout, typography, and color

IV. HTML and CSS

Basic structure and layout of a web page using HTML
Styling and presentation of a web page using CSS

V. JavaScript

How JavaScript can add interactivity and dynamic behavior to a web page
Popular JavaScript libraries and frameworks

VI. Responsive Design

Techniques for creating websites that adapt to different screen sizes and devices
Best practices for mobile web development

VII. Accessibility

The importance of making web pages accessible to users with disabilities
Techniques for improving accessibility, such as proper use of HTML and CSS.

**Step by Step Guide for Creating and Hosting application**

I. Plan and design the web application: The first step is to plan and design the web application, taking into account the user experience, layout, and overall functionality. This should include creating wireframes and mockups to visualize the final product.

II. Build the web application: Next, the frontend developer will use HTML, CSS, and JavaScript to build the web application. This will involve creating the user interface and implementing any necessary interactivity and dynamic behavior.

IIII. Deploy the web application: After the web application is built, it needs to be deployed to a hosting platform. For an AWS web application, this would typically involve using Amazon S3 to host the application's static files and Amazon Elastic Beanstalk or Amazon Lightsail to host the application's backend.

IV. Configure the web application: The frontend developer will need to configure the web application to work properly on the hosting platform. This may include setting up routing, configuring security settings, and connecting to any necessary services or databases.

V. Test the web application: Before launching the web application, it's important to thoroughly test it to ensure that it functions as intended. This may include both manual and automated testing, and should include testing for both functionality and performance.

VI. Monitor and maintain the web application: Once the web application is live, it will need to be regularly monitored and maintained. This may include fixing bugs, adding new features, and updating the application to keep it secure and up-to-date.
AWS Certified Cloud Practitioner Exam Preparation and Key Tips
Tags: aws, cloud, serverless, tutorial
Published: 2023-01-14 10:23:15


## AWS Certified Cloud Practitioner Exam Preparation and Key Tips

![WS Certified Cloud Practitioner exam](https://cdn-images-1.medium.com/max/2000/0*tduYA4KLTFHf3qaR)

The AWS Certified Cloud Practitioner exam is a great way to demonstrate your knowledge of the AWS cloud platform. It is designed to validate your understanding of the core services, fundamentals, and best practices of the AWS cloud. To help you prepare for this exam, here are some key tips and strategies:

1. Understand the Exam Structure: The AWS Certified Cloud Practitioner exam consists of multiple-choice questions that cover a variety of topics related to the AWS cloud platform. It is important to understand the structure of the exam so that you can focus your preparation on the issues that are most likely to be tested.

2. Familiarize Yourself with AWS Services: The AWS Certified Cloud Practitioner exam covers a wide range of services offered by AWS. It is essential to familiarize yourself with each service and its features so that you can answer questions related to them accurately.

3. Practice with Sample Questions: One of the best ways to prepare for any certification exam is by practising with sample questions. This will help you get familiar with the types of questions that may be asked on the exam and give you an idea of how long it will take you to answer them correctly.

4. Utilize Online Resources: There are many online resources available that can help you prepare for the AWS Certified Cloud Practitioner exam, such as practice tests, study guides, and tutorials. Utilizing these resources can help ensure that you have a thorough understanding of all topics covered in the exam before taking it.

5. Take Practice Tests: Taking practice tests is one of the best ways to prepare for any certification exam, including the AWS Certified Cloud Practitioner exam. Practice tests provide an opportunity for you to test your knowledge and identify any areas where additional study may be needed before taking the actual test.

By following these tips and strategies, you should be well prepared for success on your AWS Certified Cloud Practitioner Exam! Good luck!

![](https://cdn-images-1.medium.com/max/2000/0*HqdJZSjqdUVtY6fn.png)
Testing the Performance of User Authentication Flow
Tags: testing, performance, devops, api
Published: 2023-01-14 12:56:06

Testing the performance of the backend API on high traffic is a must-have step before deploying it to production. We have to simulate the traffic as realistically as possible. This includes testing the endpoints that require authentication. In this article, we explained how to simulate hundreds of users that first get their JWT token from the Login endpoint and hits the private endpoints. We have used [Ddosify Open Source Load Engine](https://github.com/ddosify/ddosify), so we didn't need to write any line of code.

Happy reading
[Testing the Performance of User Authentication Flow](https://ddosify.com/blog/testing-the-performance-of-user-authentication-flow)
A story about a site created with Blazor to add a Discord bot for AI image generation (Stable Diffusion, etc.)
Tags: c, blazor, ai, stablediffusion
Published: 2023-01-17 11:18:20

---
title: A story about a site created with Blazor to add a Discord bot for AI image generation (Stable Diffusion, etc.)
published: true
description: 
tags: C#,Blazor,AI,StableDiffusion
# cover_image: https://direct_url_to_image.jpg
# Use a ratio of 100:42 for best results.
# published_at: 2023-01-15 08:48 +0000
---


## TL;DR
  * Created a website with Blazor Server.
  * Created a Bot for Discord that uses AI to generate images.
  * Created website : https://stablediffusiondiscordbot.azurewebsites.net/
  * Repository : https://github.com/kawa0x0A/StableDiffusionDiscordBot

## Websites created with Blazor
  * Made by Blazor Server
  * Hosting is Azure and payment service is Stripe
  * What I learned : How to write authentication process for login, Website design, How to use Bootstrap
  * Impressions : It's great to be able to create websites in C#. And I found that I can't live without Visual Studio's completion.
  * Issues : It takes a little bit of time to load the site for the first time.

## Discord Bot
  * Made in Python
  * The way to make it is probably the same as the way to make a general bot.
  * AI models available are Stable Diffusion, Stable Diffusion 2, Waifu Diffusion, and Anything models.
  * I personally don't like programming languages other than C#, so I'll spare you the code.
  * Problem : Bot sometimes doesn't work because of Gradient Paperspace (I considered GCP, but it's too expensive to keep it running 24/7 ......)

## Technical notes (list of setbacks)
  * I started with Blazor WebAssembly, but changed to Blazor Server in the middle of the project.
    * Reason : Because the information that I want to keep secret such as API key of Stripe cannot be kept secret, I changed from Blazor WebAssembly to Blazor Server.


Translated with www.DeepL.com/Translator (free version)