teleren/devto huggingface dataset:
Ibuprofeno.py💊| #75: Explica este código Python
Tags: python, programming, beginners, spanish
Published: 2024-04-09 13:00:00

## **<center>Explica este código Python</center>**
#### <center>**Dificultad:** <mark>Intermedio</mark></center>

```py
test = list(range(11))
test[:6] = [10, 10, 10, 10, 10]
print(test)
```

👉 **A.** `[10, 10, 10, 10, 10]`
👉 **B.** `[1, 2, 3, 4, 5, 6, 10, 10, 10, 10, 10]`
👉 **C.** `[10, 10, 10, 10, 10, 6, 7, 8, 9, 10]`
👉 **D.** `[0, 1, 2, 3, 4, 5]`

---

{% details **Respuesta:** %} 

👉 **C.** `[10, 10, 10, 10, 10, 6, 7, 8, 9, 10]`

Vamos línea por línea:
* `test = list(range(11))`: 
Creamos en la variable test una lista de números, del 0 al 10. Tendríamos: `[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]`

* `test[:6] = [10, 10, 10, 10, 10]`:
De la posición 0 a la posición 5 agregamos el arreglo `[10, 10, 10, 10, 10]` 

* `print(test)`:
Imprimimos el resultado: `[10, 10, 10, 10, 10, 6, 7, 8, 9, 10]`

{% enddetails %}
does cross entropy takes values between 0 and 1 ?
Published: 2024-04-09 12:56:08

Çapraz Entropi (Cross Entropy) değeri, 0 ile 1 arasında olmaz. Aslında çapraz entropi, pozitif reel sayılar aralığında bulunur.

En iyi senaryo: Eğer bir modelin tahminleri gerçek değerlerle tamamen örtüşüyorsa (yani tahmin edilen olasılık gerçek değere eşitse), çapraz entropi değeri 0 olur.
Kötü senaryo: Eğer bir modelin tahminleri gerçek değerlerden çok uzaksa (örneğin gerçek değer 1 iken tahmin edilen olasılık 0.1), çapraz entropi değeri yüksek olur.
Bu nedenle, çapraz entropi değeri 0 ile sonsuz arasında değişebilir. Ancak, genellikle daha iyi bir modelin daha düşük çapraz entropi değerine sahip olduğunu söyleyebiliriz.
Odoo : Command syntax
Tags: odoo
Published: 2024-04-09 12:51:28

If you are an Odoo developer, you might have used code like 

```
self.write({"partner_ids": [(6, 0, partners.ids)]})
```
There is another approach to do same using commands. We can import the command as below 

```
from odoo import api, fields, models, _, Command
```
then we shall do 

```
self.write({"partner_ids": [Command.set(partners.ids)]})
```
which same as **self.write({"partner_ids": [(6, 0, partners.ids)]})**

we can also use in the XML as below 

```
<field name="partner_ids" eval="[Command.set(ref('base.main_partner'))]" />
```
<table role="table">
<thead>
<tr>
<th>Numeric syntax</th>
<th>Command syntax</th>
</tr>
</thead>
<tbody>
<tr>
<td><code class="notranslate">(0, 0, {...})</code></td>
<td><code class="notranslate">Command.create({...})</code></td>
</tr>
<tr>
<td><code class="notranslate">(1, id, {...})</code></td>
<td><code class="notranslate">Command.update(id, {...})</code></td>
</tr>
<tr>
<td><code class="notranslate">(2, id)</code></td>
<td><code class="notranslate">Command.delete(id)</code></td>
</tr>
<tr>
<td><code class="notranslate">(3, id)</code></td>
<td><code class="notranslate">Command.unlink(id)</code></td>
</tr>
<tr>
<td><code class="notranslate">(4, id)</code></td>
<td><code class="notranslate">Command.link(id)</code></td>
</tr>
<tr>
<td><code class="notranslate">(5, 0, 0)</code></td>
<td><code class="notranslate">Command.clear()</code></td>
</tr>
<tr>
<td><code class="notranslate">(6, 0, ids)</code></td>
<td><code class="notranslate">Command.set(ids)</code></td>
</tr>
</tbody>
</table>


for more : https://github.com/orgs/OCA/discussions/157
https://www.odoo.com/documentation/17.0/developer/reference/backend/orm.html#odoo.fields.Command
What is a Distributed Denial-of-Service (DDoS) attack?
Published: 2024-04-09 12:40:34


![What is a Distributed Denial-of-Service (DDoS) attack?](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/thxf49r84s7a3afgrc1w.jpg)


In the dynamic realm of cybersecurity, Distributed Denial-of-Service (DDoS) attacks emerge as formidable disruptors, capable of wreaking havoc on online services. This article serves as a comprehensive guide to demystify DDoS attacks, shedding light on their mechanics, incentives, and effective countermeasures.

DDoS assaults constitute malevolent efforts to disrupt the regular functioning of websites or online platforms by inundating them with an overwhelming surge of traffic. Unlike their singular-source counterparts, DDoS attacks harness a network of compromised devices, termed botnets, to amplify their impact.

The discourse delves into the diverse typologies of DDoS attacks, spanning volumetric, protocol, and application layer variants, each exploiting distinct vulnerabilities within the target's infrastructure. It elucidates common exemplars of these attacks and elucidates their modus operandi in crippling online services.

Identifying telltale signs of an impending DDoS onslaught assumes paramount importance for preemptive action. Notable indicators encompass aberrant traffic patterns, performance degradation such as sluggish loading times or service unavailability, resource saturation within servers, network disturbances, and external alerts from security providers.

To fortify defenses against DDoS incursions, the article advocates the adoption of multifaceted mitigation strategies. These include implementing specialized DDoS mitigation solutions, leveraging the resilience of content delivery networks (CDNs), enforcing rate-limiting mechanisms, deploying web application firewalls (WAFs), conducting periodic security audits, and formulating robust incident response plans. It accentuates the significance of continuous learning and awareness regarding evolving DDoS attack vectors and cybersecurity best practices.

In summation, while DDoS assaults persist as a formidable threat in the cybersecurity landscape, proactive vigilance coupled with adept defensive measures can thwart their disruptive potential and safeguard the uninterrupted functioning of online services.
Thermo treated wood
Published: 2024-04-09 12:37:38

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Published: 2024-04-09 12:34:19

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JSON vs JSONP
Tags: json, jsonp, webdev, javascript
Published: 2024-04-09 12:33:37

## Difference between JSON & JSONP


> JSON is a data format commonly used for data interchange between a client and a server, while JSONP is a technique used to fetch JSON data from a different domain in web applications by dynamically injecting script tags into the DOM and using callback functions to handle the response.


## JSON (JavaScript Object Notation):
- JSON is a lightweight data interchange format that is easy for humans to read and write and easy for machines to parse and generate.
- It is language-independent, but it is primarily used with JavaScript due to its close relationship with JavaScript objects.
- JSON is a text-based format and is typically used for transmitting data between a server and a web application.
- JSON data is structured as key-value pairs and supports arrays and nested objects.
- JSON is parsed using the `JSON.parse() `method in JavaScript and is generated using the `JSON.stringify()` method.

```
{
  "name": "John Doe",
  "age": 30,
  "email": "john@example.com",
  "address": {
    "city": "New York",
    "country": "USA"
  },
  "hobbies": ["reading", "gardening", "traveling"]
}

```

## JSONP (JSON with Padding):
- JSONP is a technique used to overcome the Same-Origin Policy limitations in web browsers when making cross-domain requests.
- It is essentially a way of fetching JSON data from a different domain in a web page that is hosted on a different domain.
- JSONP works by inserting a `<script>` tag into the DOM with a src attribute pointing to a URL that returns JSON data. This URL includes a callback function as a query parameter.
- The server returns JSON data wrapped in a function call, where the function name is the callback specified in the URL. This allows the JSON data to be executed as JavaScript code in the context of the web page.
- JSONP is primarily used for making cross-domain AJAX requests in web applications when the server supports JSONP callbacks.
- Suppose we have a server that provides JSON data about users. Let's say the URL to fetch user data is https://example.com/users?callback=myCallback.
- When you make a request to this URL with a specified callback function, the server responds with JSON data wrapped in a function call matching the specified callback function. Here's how the response might look:

```
myCallback({
  "name": "John Doe",
  "age": 30,
  "email": "john@example.com",
  "address": {
    "city": "New York",
    "country": "USA"
  },
  "hobbies": ["reading", "gardening", "traveling"]
});

```

- When this response is executed in the browser, it will invoke the myCallback function with the JSON data as an argument. This allows you to use the JSON data in your JavaScript code, overcoming the Same-Origin Policy restrictions for cross-domain requests.
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Tags: mobileapplication, development, webdev
Published: 2024-04-09 12:30:44

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My First Month In Learning programming
Tags: webdev
Published: 2024-04-09 12:19:43

My First Month In Learning programming
#HTML#
Let me introduce you to some tips.

However before that, you need to download two softwares before you can start Coding though there are so many softwares ,I prefer these two for now.

(1) V.s cold
(2) Git bash

After getting these softwares, you will also need Data (I mean like 40 gigabytes a month).

Coding isn’t child’s play but it is super interesting and lively not only that, it will also get you some cool cash.
Firstly, open your Git bash to create a folder (📁), on V.S cold (the second software), there are many Basics of HTML: elements, and tags that you need to know before you start Coding but I will illustrate them one after the other for you to understand .

Pay rapt attention and you would enjoy it, you can take a break and come back after 20 minutes.

To create a folder on V.S. cold by opening Git bash and coding some things on it.
The 1st thing you code on git bash is:
(Cd Downloads the space after that press enter)

Illustration
(Picture :cd Downloads
After that, I will make a new one directly by typing:

Mkdir space Then Folder name :
It is used in Git bash to create a Name of the folder you want to create.

After that type Pwd .

After that, you will now create the names of the files you want, to be in the folder. To do that you have to do the following
Type
Touch then the file name (index . HTML ) and the space other file you want to create.

Last but not least
After all these, you already created a folder and the files that will be in the folder.
So the next is to code what you have created on git bash on v.s cold by just typing

Code space then (.).

So this is what you will see, then you have to cancel and click on the files you created in the folder.

Note: once you type (code .) it will open the v.s code directly.
So you just started, but let me stop here for now, I will get back to treat what you are going to do on your code, so please stay healthy and work hard.

You can get me coffee ☕ if you want but please read this next line.

“ You can have results or excuses, not both’’
So please work hard
Goodbye for now
Categorical Cross-Entropy
Published: 2024-04-09 12:18:24

Çapraz Entropi (Cross Entropy), bir olasılık dağılımının başka bir dağılımdan ne kadar farklı olduğunu ölçen bir metriktir. Genellikle sınıflandırma problemlerinde kullanılır ve iki olasılık dağılımı arasındaki farkı hesaplar. İşte çapraz entropi hakkında daha fazla bilgi:

Entropi Nedir?
Entropi, düzensizlik veya belirsizlik kavramını ifade eder. Bilgi teorisinde, bir olayın olasılık dağılımını kodlamak için gereken minimum bit sayısı olarak tanımlanır.
Entropi, bir sistemdeki rastgelelik ve düzensizliği ölçer.
İlk kez Claude E. Shannon tarafından 1948 yılında tanımlandı.

Çapraz Entropi (Cross Entropy) Nedir?
Çapraz entropi, iki olasılık dağılımı arasındaki farkın bir ölçüsüdür.
Bir olasılık dağılımını (hedef dağılım) başka bir dağılımdan (tahmini dağılım) ayırt etmek için kullanılır.
Formül:


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/bqjlcaanm1pkj1t50s4q.png)



![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ws6me99uajt4jl9n3mf7.png)




Burada:

yi – actual values
yihat – Neural Network prediction


Çapraz entropi, simetrik bir metrik değildir. Yani H(p,r) her zaman H(r,p) ile aynı olmayabilir.



Kullanım Alanları:

Makine öğrenmesi bağlamında, kategorik çok sınıflı sınıflandırma problemleri için bir hata ölçüsü olarak kullanılabilir.
Tahmin edilen olasılık gerçek değerden uzaklaştıkça çapraz entropi kaybı artar.
Mükemmel bir modelin kaybı 0’dır.

Çapraz entropi, model performansını ölçmek ve sınıflandırma problemlerinde hata hesaplamak için yaygın olarak kullanılır. Eğer gerçek gözlem değeri 1 olduğunda modelin düşük bir olasılık tahmin etmesi, yüksek bir çapraz entropi kaybına yol açar. Bu nedenle, iyi bir modelin çapraz entropi kaybı düşük olmalıdır. 📊🤖

Kategorik çapraz entropi, çok sınıflı sınıflandırma problemlerinde kullanılan bir kayıp fonksiyonudur. Bu fonksiyon, bir modelin tahmin ettiği olasılıklar ile gerçek etiketler arasındaki uyumu ölçer. Kategorik çapraz entropi, softmax aktivasyon fonksiyonu ile birlikte kullanıldığında, modelin her bir sınıf için olasılık dağılımını öğrenmesini sağlar. formülü yukarda belirttiğimiz loss formülüdür. 


Burada:
- \( L \) toplam kayıp değeridir.
- \( K \) sınıf sayısını temsil eder.
- \( yj \) gerçek etiketlerin one-hot encoded formudur.
- \( yj^ \) modelin tahmin ettiği sınıf ihtimalleridir.
- \( \log \) doğal logaritmayı ifade eder.

Örneğin, bir modelin üç sınıflı bir veri için tahmin ettiği olasılık dağılımı \( [0.7, 0.2, 0.1] \) ve gerçek etiket \( [1, 0, 0] \) ise, kategorik çapraz entropi kaybı yaklaşık olarak \( 0.36 \) olacaktır¹.

 

Burdan daha ayrıntılı araştırma yapabilirsiniz. İyi çalışmalar.==>

[(https://www.analyticsvidhya.com/blog/2022/06/understanding-loss-function-in-deep-learning/#:~:text=The%20loss%20function%20helps%20determine,world%20problems%3A%20classification%20and%20regression.)]
loss function - cost function
Published: 2024-04-09 12:06:04


**Maliyet fonksiyonu (loss function), bir makine öğrenimi modelinin tahminlerinin gerçek değerlerden ne kadar uzak olduğunu ölçen bir fonksiyondur**. 
Modelin performansını değerlendirmek ve optimize etmek için kullanılır. Maliyet fonksiyonu genellikle modelin eğitim veri setindeki performansını ölçer, bu nedenle optimize edilmesi gereken bir metrik olarak kabul edilir.

Maliyet fonksiyonları farklı makine öğrenimi görevleri için farklı şekillerde tanımlanabilir. Örneğin:

**Regresyon Problemleri**: Ortalama kare hatası (Mean Squared Error - MSE) veya ortalama mutlak hata (Mean Absolute Error - MAE) gibi fonksiyonlar kullanılabilir. Bu fonksiyonlar, modelin tahminlerinin gerçek değerlerden ne kadar uzak olduğunu ölçer.

**Sınıflandırma Problemleri**: Çapraz entropi (Cross-Entropy) gibi fonksiyonlar kullanılabilir. Bu fonksiyonlar, modelin sınıflandırma tahminlerinin gerçek etiketlerle ne kadar uyumlu olduğunu ölçer.

**Doğruluk (Accuracy):** Sınıflandırma problemleri için kullanılan bir başka ölçüdür. Doğruluk, modelin doğru tahminlerin oranını belirler.

Maliyet fonksiyonu seçimi, modelin belirli bir görevi ne kadar iyi gerçekleştirebileceğini önemli ölçüde etkiler. Doğru maliyet fonksiyonunun seçilmesi, modelin başarımını artırmak için önemlidir.
Jira inventory management: How to categorize your assets in a service ticket?
Tags: jira, atlassian, jiraservicemanagement, assetmanagement
Published: 2024-04-09 12:06:00

<p>Last time, we saw Immediate Solutions effortlessly handle heaps of IT requests in an AssetIT use case video. Today, let's unveil the secret with the Jira inventory management feature!</p>
<p><strong>Follow Along as We:</strong></p>
<p>🛠 <strong>Set Up:</strong> Dive into your project settings to start linking IT resources to requests.<br>📝 <strong>Custom Fields:</strong> Create a "RAM Check" field (just an example!) to keep things organized.<br>🔧 <strong>Tweak Settings:</strong> Adjust filters to see only the assets you need.<br>🏁 <strong>Final Touches:</strong> Link everything back to your request types for seamless sorting.</p>
{% embed https://youtu.be/nRvAuXMH8Rk %}
<p>🎉 Voilà! Just like that, your service tickets are neater and finding the right IT resources becomes a breeze.</p>
<p>💬 <strong>Curious About More?</strong> Drop us a comment, and let's uncover the full potential of AssetIT together!</p>
<hr>
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IPL Cricket Betting ID Online 2024
Tags: cricket, id, cricketbettingid, onlinecricket
Published: 2024-04-09 12:04:35

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Best Digital Marketing Course in Delhi
Tags: webdev, digitalmarketing
Published: 2024-04-09 12:02:09


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Huntlab Progress
Tags: gamedev, unity3d, csharp
Published: 2024-04-05 10:30:41

# Introduction 

The last post showed our game's ideation such as game world, mechanics, and feature outline.
This post will show the progress of the game.

Table of contents

- Aims & Objectives
- Game Mechanics
- Character Prototypes
- Level Prototypes
- Registration & Login
- Next Steps

## Aims & Objectives

As the last post showed, there are two character "Survivor" and "Hunter" in our game. 

### Survivor 

The aim of survivor is to exit the world.
To exit, it can do below movement.
- Use items
- Use mirror to move another world
- Stay hidden and run

### Hunters

The aim of Hunters is to hunt the survivor.

To exit, they can do below movement.

- Use their sight to track the survivor
- Use mirror to move another world
- Kill the survivor


## Main Mechanics

### Survivor 
- Use the level, mirrors and dimensionator to evade hunters
- Collect items to exit
- Can close mirror world and trap hunters by shooting it with dimensionator
- Can win after a certain amount of time

### Hunters
- Move and locate the survivor
- Use the blood sight to scan the survivors location
- Each hunter has 3 melee attack charges.
- Can enter the mirror world


## Character Prototypes

We created **Character** prototypes. 


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/0cle4r0zaj5kdgcuy9lk.png)


## Level Prototypes

We created **Level** prototypes. 


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/hodo9jktqu0xac3o72tr.png)


## Level Prototypes

We created **Login** and **Lobby** system by using Unity, Photon, and MySQL DB Server.

The next post will show the detail of the implementation. 

{% youtube https://www.youtube.com/watch?v=4jGzuldQfMU %}
Take your projects to the next level with the magic of .NET development.
Tags: dotnet, development, dotnetframework, dotnetdeveloper
Published: 2024-04-09 11:51:35


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/96mfpct50qiycb7zgx3j.png)


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