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Pivoting for Hackers: Expanding Your Foothold in a Network

Pivoting allows hackers to use a compromised system as a stepping stone to access other systems inside a network.
Pivoting can be done in two main ways: Proxy-based Pivoting and VPN-based Pivoting.
Practical pivoting techniques include using tools like Metasploit, SSH tunnels, Chisel, and Ligolo-NG.
Defensive measures against pivoting include network segmentation, host-based firewalls, log monitoring, and multi-factor authentication (MFA).

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Dev

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Locking Down Your Servers: A Developer's Guide to Server Security & Hardening

Securing your servers is a non-negotiable responsibility.
Fundamentals of Server Security: Keep your system updated. Implement access controls. Use firewalls and intrusion detection systems. Encrypt data in transit and at rest.
Monitor logs and set up alerts to detect suspicious activities.
Server Hardening Checklist: Disable unnecessary services. Change default ports. Set up SSH key authentication. Install fail2ban. Configure firewall rules. Encrypt sensitive data. Automate security updates. Implement MFA. Regularly audit logs. Backup data frequently.

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Dev

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What is Backend? How to Learn It

Backend is the "hidden" part of an application that runs on the server-side.
A Backend Developer is responsible for designing and implementing the logic that powers applications.
Backend is the core of any modern application, handling authentication, data storage, processing, and business logic implementation.
To learn Backend Development, pick a tech stack, learn databases and authentication, build projects, and focus on practical learning.

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Medium

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Statistical Analysis with Python — Part 5: A Practical Guide to Bayesian Statistics

Bayesian statistics is based on Bayes’ Theorem, updating the probability of a hypothesis with new evidence.
It allows for adjusting beliefs based on prior knowledge combined with new data or likelihood.
Different from frequentist stats, it focuses on updating confidence in events happening.
Bayesian methods provide flexibility by updating beliefs with new data continuously.
It involves various approaches like Bayesian inference, Bayesian decision theory, and Bayesian A/B testing.
Hierarchical models share information across groups for improved estimates, while model averaging considers multiple models.
Bayesian A/B testing continuously updates beliefs about which version is better as data is collected.
It combines Bayesian inference, parameter estimation, hypothesis testing, and decision theory for informed decisions.
Businesses need to consider priors, avoid overfitting, interpret posterior distributions, update models, ensure computational efficiency, and involve domain expertise.
By avoiding common mistakes and following best practices, companies can leverage Bayesian statistics for data-driven decisions.

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Dev

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🚀 50 Must-Try Websites for Web Developers

MDN Web Docs, W3Schools, and FreeCodeCamp are key learning resources.
Awwwards, Dribbble, and Behance provide design and UI/UX inspiration.
CodePen, JSFiddle, and Shadcn UI offer front-end development tools.
PageSpeed Insights, Lighthouse, and GTmetrix are performance and optimization tools.

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Dev

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Wrapping PrimeVue Components: Tips for a Better Developer Experience

PrimeVue components are highly customizable and easy to integrate for Vue.js developers, but repetitive configurations can be optimized by wrapping them into custom components.
Wrapping PrimeVue components allows for centralized base styles, enabling the application to have a consistent look with custom classes or styles applied globally.
Default props can be set in wrapped components for consistency, reducing boilerplate code and ensuring uniformity in element attributes.
Custom logic or behavior can be added to wrapped components without altering the original PrimeVue components, enhancing flexibility.
Despite the benefits of wrapping, VSCode's prop autocompletion may cease to suggest props for wrapped components, slowing down development.
To restore prop autocompletion in VSCode, defining props explicitly in custom components using TypeScript or Vue's defineComponent is essential.
Steps to restore prop autocompletion include defining props, adding slots if needed, incorporating default props, and verifying autocompletion within VSCode.
Wrapping PrimeVue components improves consistency, reduces repetition, and tailors components to specific application requirements, enhancing the development process.
Despite initial hiccups with VSCode, defining props explicitly ensures smooth workflow and enhances development efficiency when using PrimeVue components.
Consider trying wrapping PrimeVue components for optimized development workflows and increased maintainability of Vue.js applications.

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Medium

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Your Engineering Guide to Level Up in 2025

In 2025, AI has permeated various aspects of engineering, leading to engineers relying on tools more and potentially becoming rusty in critical thinking.
This guide provides advice for engineers, including seniors, on staying sharp, thinking deeply, and avoiding being replaced by the tools they use.
It emphasizes the importance of understanding the code you write, avoiding frequent production issues, and creating meaningful documentation.
Encourages engineers to deeply understand systems they work on, seek mentorship, engage in challenging projects, and continually learn new technologies.
Advocates for learning new languages, reading and exploring codebases, fixing bugs thoughtfully, and maintaining and refactoring legacy code.
Suggests reading books that focus on fundamental principles, thinking clearly, designing thoughtfully, and debugging fearlessly to enhance engineering skills.
Underlines the importance of continuous learning, critical thinking, and building a strong foundation in engineering principles for long-term career success.
Encourages using AI tools as aids, but not substitutes for problem-solving skills, and emphasizes the value of curiosity, challenge, and continuous improvement in engineering.
Ultimately, the guide stresses the significance of building a strong mindset, embracing challenges, and constantly evolving to remain relevant in the ever-changing landscape of engineering.
Engineers are urged to prioritize personal growth, deep learning, critical thinking, and coding with conviction to thrive in the future where thinkers will always be in demand.
It warns against complacency and over-reliance on tools, highlight the need to continue thinking, learning, and pushing boundaries to avoid being replaceable in the field.

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Self-Learning-Java

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Centroid in Machine learning

Centroid represents the center point of the cluster and is used in machine learning algorithms such as k-means clustering.
The centroid of a triangle is the point where the three medians intersect.
The centroid of a circle is the center of the circle.
The centroid of a set of data points in a machine learning algorithm is the point that is equidistant from all the data points.

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Dev

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Family Focus Planner

The Family Focus Planner is a comprehensive task management application designed specifically for families.
It helps family members track their tasks, build productive habits, and maintain streaks of consistent task completion.
The app features a beautiful, intuitive interface that makes task management engaging and rewarding for all family members.
The Family Focus Planner incorporates several intelligent features, such as smart streak tracking, task analytics, and an adaptive UI.

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Medium

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How to Protect Your Eyes During a 9-to-5 Job?

Staring at a screen for hours can strain your eyes due to blue light and constant focus.
Implement the 20-20-20 rule: Every 20 minutes, look at something 20 feet away for 20 seconds.
Adjust the brightness and contrast on your screen to reduce eye strain.
Consider using blue-light filtering glasses to protect your eyes during long hours of screen time.

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Self-Learning-Java

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K nearest neighbors algorithm In Machine Learning

K-nearest neighbors (KNN) is a supervised machine learning algorithm suitable for classification and regression tasks by finding the k-nearest data points to predict the category or value of a new data point.
Pros of KNN include easy implementation, understanding, and versatility for both regression and classification tasks.
Cons of KNN are its computational expense for large datasets and sensitivity to the hyperparameter k.
The choice of k in KNN affects bias and computational cost, with lower k values leading to more bias and higher k values being more expensive.
KNN relies on calculating distances between data points using methods like Euclidean, Manhattan, and Minkowski.
Real-world applications of KNN include image classification, fraud detection, recommender systems, house price prediction, and customer grouping by interests.
In a given dataset example, the KNN algorithm is applied to predict breast cancer diagnosis based on various features like radius, texture, area, etc.
The process involves preprocessing data, handling outliers, encoding non-numeric data, training the model, testing its accuracy, and tuning the hyperparameter k.
A program is provided for implementing KNN in Python using scikit-learn, featuring data preprocessing, modeling, outlier detection, and basic analysis.
An example is shown where the model's accuracy is evaluated for different values of k to demonstrate the impact of choosing the neighbor count on training and testing scores.

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Self-Learning-Java

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k-fold cross-validation in Machine Learning

K-fold cross-validation is a widely used technique in the machine learning industry to evaluate model performance.
The technique involves dividing the data into k non-overlapping buckets, with each iteration using one bucket as the validation set and the remaining buckets as the training set.
Performance metrics are calculated for each iteration, and various approaches such as mean accuracy and cross-entropy can be used to select the best model.
K-fold cross-validation works for both classification and regression problems.

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Self-Learning-Java

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Understanding cursor: pointer; in CSS to enhance User Interaction

The cursor property in CSS controls the type of cursor that appears when the user hovers over an element.
By setting cursor: pointer;, you can change the default cursor to a hand icon, visually indicating to users that the element can be clicked.
This is commonly used for buttons, links, and any other interactive elements on a webpage.
In the provided example, the 'Cursor styled' button is styled with the cursor property set to pointer, resulting in a hand icon cursor when hovered over.

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Self-Learning-Java

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Understanding the Behavior of CSS Width and Max-Width When Parent Element is Smaller

The width property in CSS defines the exact width an element will take up, regardless of the parent element's size.
To handle situations where a child element overflows its parent due to fixed width, using percentage-based width like width: 50%; can maintain proportionality.
The max-width property in CSS sets the maximum width an element can take, making it suitable for responsive designs.
Using max-width ensures that elements do not exceed certain sizes while adapting to varying screen sizes.
In examples, setting width: 100%; and max-width: 300px; allows an element to fill the parent's width up to a maximum of 300 pixels.
Child elements adjust to the parent's width accordingly - shrinking if the parent is smaller than the specified width or capping at the max-width.
Setting a child element's width beyond the parent's width results in the child element fitting within the parent's dimensions due to CSS overflow handling.
If a child element has a min-width exceeding its parent's width, it may lead to overflow issues disregarding the parent's width limits.
CSS layout ensures that child elements do not visually overflow their parent containers but adjust within the constraints set by width and max-width properties.
Handling child element widths relative to their parents effectively avoids overflow problems and ensures proper layout control.

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Dev

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Building a Smart Shelf Audit and Restocking Bot with UiPath 🚀

Retail and inventory management can be time-consuming and error-prone when done manually.
To solve this problem, a Smart Shelf Audit and Restocking Bot was developed using UiPath.
The bot scans shelf data, identifies issues, and sends four daily reports.
The automation eliminates manual audits, ensures inventory visibility, and helps with restocking needs.

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