The Pick Process

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13 responses to “The Pick Process”

1. 

   Bob

   28 May 2024

   Scratch notes and ideas:

   1. Print today’s invoices and pull sheet.
   App with today’s orders listed on the screen. Click on “pull order” to begin. A screen similar to a pull sheet will show the items to be staged for that order and a way to differentiate between an item that has been pulled, is out of stock or still needs to be pulled

   2. As each item is scanned it updates the various lists (filled, oos, unfilled)

   3. When the loader is done he clicks check order and the app verified that everything in the order is either filled or out of stock.
   Any third party apps will receive RESTful API signals to update statuses, inventories, etc

   4. Load truck

   5. Delivery to store

   6. Exceptions and shortages

   7. Additional processes.

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2. 

   Bob

   6 June 2024

   Got it. It just popped into my head.

   Build a table that has columns with nothing but a solid primary color background that indicates the status of the column. These columns would indicate an item that needs to be picked for that recipient and invoice, and another column for moving the item from the order staging shelf to the delivery vehicle, and then finally a column for checking the order in at the customer. All of these steps can be seen by any authorized user.

   So I could have an order sheet for tomorrow that has every item and quantity on a row, and three columns: pick, load, deliver. Each cell in the pick column would be red when I start the “pick” app. I go and get the first time on the list and scan the label for each. The app does any internal business processes like checking that it is the correct item, is not expired, etc) then gives positive feedback to the user (flash, sound, vibrate device, etc) and changes the pick cell for that item to a green background. If it is out of stock the user can click on the cell and change it to yellow for out of stock. Although in theory the other business processes behind invoice creation should have known the item was out of stock already and either not allowed it to be ordered, placed it in a backorder status or otherwise handled according to specific company policies.

   When all items have been Picked or marked as exceptions the pick process will show as complete. Any business workflows that pivot on an order being staged can be triggered. Like notifications to staff, recipient, driver, etc Any inventory updates can be fired off. Etc.

   On loading into truck the process would be similar but may be streamlined so each item doesn’t need to be scanned a second time. If I can devise a multi scan function that can capture every QR code in a framed image rather than requiring each label to be scanned one by one, it would speed things up. The on truck column would update to green for each item loaded.

   When the order is verified by the recipient, they scan each item and it updates the cells accordingly for both driver view and recipient views.

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3. 

   Bob

   7 June 2024

   For showing error log size or other slower moving numbers make the 100 loop function use the log size as the 100 or max count.

   In other words …

   Use the loop function so it continues to go up and down to the current gauge setting and maybe increase the speed as it gets closer to 100%

   Reply
4. 

   Bob

   8 June 2024

   Assistant:
   Certainly A `robots.txt` file is a text file used by website owners to communicate with web crawlers and other web robots. It specifies which pages or files the robot should not request from your site. This is useful for preventing robots from accessing or indexing certain areas of your website that you do not want to be publicly accessible.

   ### Structure

   A `robots.txt` file consists of one or more rules, each starting with a User-agent directive followed by zero or more Disallow directives. Here’s a basic example:

   “`plaintext
   User-agent: *
   Disallow: /private/
   “`

   In this example:
   – `User-agent: *` means the rule applies to all web robots.
   – `Disallow: /private/` tells robots not to visit any page under the `/private/` directory.

   ### Directives

   Here are some common directives used in `robots.txt` files:

   – **User-agent**: Specifies the web robot the rule applies to. Using `*` targets all robots.
   – **Disallow**: Tells the specified user-agent not to visit the specified URL path. For example, `Disallow: /images/` would prevent all robots from visiting any page within the `/images/` directory.
   – **Allow**: Similar to `Disallow`, but explicitly allows access to the specified URL path instead of disallowing it.
   – **Crawl-delay**: Instructs the user-agent to wait (in seconds) between requests when crawling the site.
   – **Sitemap**: Provides the location of a sitemap for the site, making it easier for search engines to find and index content.

   ### Example

   Here’s a more comprehensive example of what a `robots.txt` file might look like:

   “`plaintext
   User-agent: Googlebot
   Disallow: /cgi-bin/

   User-agent: Baiduspider
   Disallow: /cgi-bin/
   Disallow: /wp-includes/

   User-agent: *
   Disallow: /cgi-bin/
   Disallow: /wp-includes/
   Disallow: /wp-content/uploads/
   “`

   This file instructs different web robots about which directories they should avoid. For instance, it specifically tells `Googlebot` and `Baiduspider` not to crawl the `/cgi-bin/` and `/wp-includes/` directories, while also applying general disallows for all robots except `Googlebot` and `Baiduspider`.

   ### Placement

   The `robots.txt` file should be placed in the root directory of your website so that it can be accessed via `http://www.example.com/robots.txt`. However, it’s important to note that `robots.txt` does not provide security; it merely provides guidance to web robots. Unauthorized users can still access restricted areas of your site if they know the direct URLs.
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5. 

   Bob

   8 June 2024

   Pretty good prompt:

   I would like to develop a foundational understanding of object oriented programming. Before you generate anything can you analyze the similarities and differences between functional and object oriented coding patterns to find ways to explain it clearly to a new programmer. Then conduct any necessary @web_searches to gather enough information. Once you have the information, conceive an outline to structure the article in a instructional format, including exercise and example sections and well crafted section headings. When you have all of this assembled, create a first draft and then proofread your draft. Make any necessary revisions and then generate the final draft.

   _______________________

   Assistant:
   ### Outline for “Functional vs Object-Oriented Programming Comparison Guide”

   #### Introduction
   – Brief overview of programming paradigms and the focus on functional and object-oriented programming.
   – Importance of understanding both paradigms for versatile programming skills.

   #### Understanding Functional Programming
   – Definition and core concepts of functional programming.
   – Emphasis on immutability, pure functions, and avoiding side effects.
   – Advantages such as predictability, easier debugging, and suitability for concurrent programming.

   #### Understanding Object-Oriented Programming
   – Definition and core concepts of object-oriented programming.
   – Focus on encapsulation, inheritance, and polymorphism.
   – Advantages such as modeling real-world entities and systems effectively.

   #### Key Differences Between Functional and Object-Oriented Programming
   – Structural differences: functional programming focuses on data transformation via functions, while OOP organizes code around objects and data.
   – State management: functional programming avoids mutable state, whereas OOP allows for stateful objects.
   – Reusability and composition: functional programming promotes higher-order functions and composability, while OOP emphasizes inheritance and subclassing.

   #### Use Cases for Functional Programming
   – Scenarios where immutability and pure functions are beneficial, such as web development and data processing.
   – Examples of functional programming languages and frameworks.

   #### Use Cases for Object-Oriented Programming
   – Scenarios where object-oriented design naturally fits, such as GUI applications and system-level programming.
   – Examples of object-oriented languages and frameworks.

   #### Choosing Between Functional and Object-Oriented Programming
   – Factors to consider when choosing a paradigm, such as project requirements, team expertise, and scalability needs.
   – Strategies for combining both paradigms in a single project.

   #### Exercises and Examples
   – Hands-on exercises to practice writing functional and object-oriented code snippets.
   – Real-world examples illustrating the application of each paradigm.

   #### Conclusion
   – Recap of the key points discussed.
   – Encouragement to experiment with both paradigms to gain a deeper understanding.

   ### First Draft

   #### Introduction
   Programming paradigms offer different approaches to solving problems, with functional and object-oriented programming (OOP) being among the most prevalent. Understanding these paradigms is crucial for developing versatile programming skills.

   #### Understanding Functional Programming
   Functional programming emphasizes the evaluation of mathematical functions and avoids changing state and mutable data. Its core concepts include immutability, pure functions, and the elimination of side effects. This paradigm is advantageous for its predictability, ease of debugging, and suitability for concurrent programming.

   #### Understanding Object-Oriented Programming
   Object-oriented programming organizes code around objects and data, focusing on encapsulation, inheritance, and polymorphism. It models real-world entities and systems effectively, making it suitable for a wide range of applications.

   #### Key Differences Between Functional and Object-Oriented Programming
   Functional programming and OOP differ structurally, with functional programming focusing on data transformation via functions and OOP organizing code around objects and data. Functional programming avoids mutable state, promoting immutability, while OOP allows for stateful objects. Functional programming encourages reusability and composability through higher-order functions, contrasting with OOP’s emphasis on inheritance and subclassing.

   #### Use Cases for Functional Programming
   Functional programming is ideal for scenarios requiring immutability and pure functions, such as web development and data processing. Languages like Haskell and JavaScript (with functional programming libraries) are well-suited for these tasks.

   #### Use Cases for Object-Oriented Programming
   Object-oriented programming is effective for modeling real-world entities and systems, making it suitable for GUI applications and system-level programming. Languages like Java and C# are popular choices for OOP.

   #### Choosing Between Functional and Object-Oriented Programming
   Choosing between functional and object-oriented programming depends on factors like project requirements, team expertise, and scalability needs. Combining both paradigms can also be beneficial for certain projects.

   #### Exercises and Examples
   Practicing writing functional and object-oriented code snippets can solidify understanding. Real-world examples illustrate the application of each paradigm, highlighting their strengths and limitations.

   #### Conclusion
   Understanding functional and object-oriented programming paradigms is essential for developing comprehensive programming skills. Experimenting with both paradigms can lead to a deeper appreciation of their nuances and applications.

   ### Final Draft

   #### Introduction
   Diving into the world of programming paradigms, two prominent approaches stand out: functional programming and object-oriented programming (OOP). Grasping these paradigms is vital for mastering the art of coding.

   #### Understanding Functional Programming
   At its core, functional programming revolves around the idea of treating computation as the evaluation of mathematical functions and avoiding changes to state and mutable data. Key concepts include immutability, pure functions, and the avoidance of side effects. This paradigm shines in its predictability, ease of debugging, and suitability for concurrent programming environments.

   #### Understanding Object-Oriented Programming
   Contrastingly, object-oriented programming organizes code around objects and data, emphasizing encapsulation, inheritance, and polymorphism. It excels at modeling real-world entities and systems, making it a powerful tool for a broad spectrum of applications.

   #### Key Differences Between Functional and Object-Oriented Programming
   A fundamental distinction lies in their structural approach: functional programming focuses on data transformation via functions, eschewing mutable state, while OOP centers around objects and data, allowing for stateful objects. Functional programming fosters reusability and composability through higher-order functions, juxtaposed against OOP’s reliance on inheritance and subclassing.

   #### Use Cases for Functional Programming
   Scenarios demanding immutability and pure functions, such as web development and data processing, are prime candidates for functional programming. Languages like Haskell and JavaScript (utilizing functional programming libraries) are adept at handling these tasks.

   #### Use Cases for Object-Oriented Programming
   When it comes to modeling real-world entities and systems, object-oriented programming proves invaluable, especially in GUI applications and system-level programming. Languages such as Java and C# are renowned for their OOP capabilities.

   #### Choosing Between Functional and Object-Oriented Programming
   The decision between functional and object-oriented programming hinges on various factors, including project requirements, team expertise, and scalability needs. Interestingly, blending both paradigms can yield synergistic benefits for certain projects.

   #### Exercises and Examples
   Engaging in hands-on exercises to craft functional and object-oriented code snippets can significantly enhance understanding. Real-world examples serve to illustrate the practical application of each paradigm, underscoring their respective strengths and limitations.

   #### Conclusion
   Mastering functional and object-oriented programming paradigms is crucial for becoming a well-rounded developer. Exploring both paradigms offers insights into their unique characteristics and applicability, fostering a deeper comprehension of programming methodologies.
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6. 

   Bob

   8 June 2024

   It started off strong but the last few sections are weak, short and sort of more like an editor’s note to the writer about what he would like to see in this section in the final draft. They could be expanded significantly.

   Reply
7. 

   Bob

   8 June 2024

   Assistant:
   Certainly An algorithm is a step-by-step procedure or formula used to solve a problem or accomplish a specific task. Algorithms are fundamental to computer science and programming because they dictate how computers process data and perform operations.

   Here are some key points about algorithms:

   1. **Definition**: At its core, an algorithm is a set of rules or instructions that define a sequence of steps to be executed in a particular order to achieve a desired outcome or solve a specific problem.

   2. **Purpose**: The primary purpose of an algorithm is to automate tasks that would otherwise be performed manually. This includes everything from simple calculations to complex decision-making processes in software applications.

   3. **Characteristics**:
   – **Finiteness**: An algorithm must have a clear start and end point; it should not run indefinitely unless designed to do so intentionally (like an infinite loop).
   – **Definiteness**: Each step in the algorithm must be clearly defined and unambiguous.
   – **Input**: Every algorithm takes one or more inputs from which it starts its process and produces an output based on these inputs.
   – **Output**: The result produced by the algorithm is well-defined.
   – **Effectiveness**: A good algorithm is efficient, meaning it completes its task with minimal resources (time, space) required.

   4. **Types of Algorithms**:
   – **Dijkstra’s Algorithm**: Used for finding the shortest paths between nodes in a graph.
   – **QuickSort**: A sorting algorithm that uses divide-and-conquer strategy to sort elements efficiently.
   – **Binary Search**: An efficient search algorithm that operates on sorted lists or arrays.

   5. **Importance in Computer Science**: Understanding algorithms is crucial for designing efficient software systems. It helps in optimizing the performance of programs, making them faster, more accurate, and less resource-intensive.

   6. **Applications**: Algorithms are used in various fields beyond computing, including mathematics, engineering, economics, and biology, to model real-world problems and find optimal solutions.

   In summary, algorithms are the backbone of computational thinking, enabling computers to perform tasks efficiently and effectively. They are essential for both simple and complex computations, from basic arithmetic operations to advanced machine learning models.
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8. 

   Bob

   8 June 2024

   Assistant:
   Creating an algorithm involves both a process and a methodical approach to solving a problem programmatically. The process typically includes several steps:

   1. **Understanding the Problem**: Before you can start creating an algorithm, you need to have a clear understanding of the problem you’re trying to solve. This might involve gathering requirements, conducting research, or talking to stakeholders.

   2. **Defining the Objective**: Clearly define what you want to achieve with your algorithm. This could be anything from sorting data, searching for specific items, calculating something, or automating a process.

   3. **Brainstorming Solutions**: Think about different ways to solve the problem. This step often involves creativity and thinking outside the box. You might sketch out ideas, draw diagrams, or even write pseudocode to outline your thoughts.

   4. **Choosing the Best Approach**: Based on your brainstorming, choose the best approach to solve the problem. Consider factors like efficiency, readability, and maintainability.

   5. **Designing the Algorithm**: Start designing your algorithm. This is where you translate your chosen approach into a detailed plan. For simple algorithms, this might just mean writing down the steps clearly. For more complex ones, you might use flowcharts or other visual aids to help design the logic.

   6. **Implementing the Algorithm**: Once you have a solid design, it’s time to implement the algorithm in code. This step requires translating your design into a programming language that a computer can understand.

   7. **Testing and Refinement**: After implementation, test your algorithm thoroughly to ensure it works as expected. This might involve unit tests, integration tests, or manual testing. Based on the results, refine your algorithm as necessary.

   8. **Documentation**: Finally, document your algorithm and its implementation. Good documentation helps others (and future you) understand why certain decisions were made and how the algorithm works.

   An algorithm is indeed the result of this process—specifically, it’s a set of instructions designed to perform a specific task efficiently. Algorithms can range from simple, such as finding the sum of two numbers, to complex, like machine learning models that analyze large datasets to make predictions.
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9. 

   Bob

   9 June 2024

   Assistant:
   In the provided `NavigationMenu` object, the `states` array seems to be intended as a list of possible states that the navigation menu can be in. However, within the current implementation of the `NavigationMenu` object, the `states` array is indeed “orphaned” because it is declared but never used anywhere in the object’s methods or elsewhere.

   Here’s a breakdown of its role based on common patterns:

   1. **Documentation/Design Intent**: The presence of the `states` array could indicate that the developer intended to use it for various purposes, such as validating the state transitions, logging, or providing a clear definition of what states are possible. This is a common practice in well-designed systems where the possible states of an object are explicitly defined and potentially checked against.

   2. **Potential Uses**:
   – **State Validation**: Before transitioning from one state to another, the system could check if the target state is included in the `states` array, ensuring that only valid transitions occur.
   – **Logging or Debugging**: Knowing the possible states can help in logging or debugging efforts, especially when trying to understand the behavior of the system under certain conditions.
   – **API Documentation**: For external developers or users of the API, having a clearly defined list of possible states can improve understanding and usage.

   3. **Current Implementation**: In the current form, since the `states` array is not utilized, it serves no functional purpose. It might have been part of a more extensive design that was not fully implemented or was removed during development.

   4. **Recommendation**: If the intention behind including the `states` array aligns with any of the potential uses mentioned above, consider integrating it into the logic, possibly by adding checks before changing states or by utilizing it for documentation purposes. If it was added by mistake or is no longer needed, it would be best to remove it to avoid confusion.

   To summarize, while the `states` array in the `NavigationMenu` object is not currently serving any practical purpose due to being unused, it hints at a design pattern aimed at defining and potentially enforcing valid states for the object.
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10. 

    Bob

    9 June 2024

    Assistant:
    Certainly The Facade Pattern provides a unified interface to a set of interfaces in a subsystem. It defines a higher-level interface that makes the subsystem easier to use. This pattern involves a single class that provides simplified methods required by the client and delegates calls to methods of existing system classes.

    Here’s a step-by-step guide on how to implement the Facade Pattern in PHP:

    ### 1. Identify the Subsystem

    First, identify the components of your system that will be wrapped by the facade. These could be several classes or interfaces that perform related tasks but from different perspectives.

    ### 2. Create the Facade Class

    Create a new class that will act as the facade. This class should have methods that correspond to the operations you want to expose to the client. Each method in the facade class will internally call one or more methods from the subsystem classes.

    ### 3. Implement the Facade Methods

    Inside each method of the facade class, delegate the work to the appropriate subsystem classes. This encapsulates the complexity of the subsystem behind a simple API.

    ### Example

    Let’s say we have a system for managing users in a database. We have two main components: `UserRepository` for data persistence and `UserService` for business logic. We want to simplify the usage of these components through a `UserFacade`.

    #### UserRepository Interface

    “`php
    interface UserRepository {
    public function save(User $user);
    public function findById(int $id):?User;
    }
    “`

    #### UserService Interface

    “`php
    interface UserService {
    public function createUser(array $userData);
    public function updateUser(int $userId, array $updatedData);
    }
    “`

    #### UserFacade Implementation

    “`php
    class UserFacade {
    private $userRepository;
    private $userService;

    public function __construct(UserRepository $userRepository, UserService $userService) {
    $this->userRepository = $userRepository;
    $this->userService = $userService;
    }

    public function registerUser(array $userData) {
    // Validate $userData before proceeding
    $user = (new User())->fromArray($userData); // Assuming User class has this method
    $this->userService->createUser($userData);
    $this->userRepository->save($user);
    }

    public function updateUserDetails(int $userId, array $updatedData) {
    $this->userService->updateUser($userId, $updatedData);
    $this->userRepository->findById($userId)->updateFromArray($updatedData); // Assuming User class has this method
    }
    }
    “`

    #### Usage

    “`php
    $userRepoMock = $this->createMock(UserRepository::class);
    $userServiceMock = $this->createMock(UserService::class);

    $facade = new UserFacade($userRepoMock, $userServiceMock);

    // Registering a new user
    $facade->registerUser([‘name’ => ‘John Doe’, ’email’ => ‘john@example.com’]);

    // Updating user details
    $facade->updateUserDetails(1, [’email’ => ‘johndoe@example.com’]);
    “`

    In this example, `UserFacade` simplifies the process of registering and updating users by abstracting away the complexities of interacting with both `UserRepository` and `UserService`. This makes it easier for clients to perform common tasks without needing to understand the intricacies of the underlying system.

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11. 

    Bob

    9 June 2024

    Assistant:
    Certainly The Decorator Pattern is a structural design pattern that allows behavior to be added to individual objects, either statically or dynamically, without affecting the behavior of other objects from the same class. It involves a set of decorator classes that are used to wrap concrete components. Decorator classes mirror the type of the components they decorate but add or override behavior.

    Here’s a basic example to illustrate how you can implement the Decorator Pattern in PHP:

    ### Step 1: Define the Component Interface

    First, define an interface (or abstract class) for the component that will be decorated.

    “`php
    interface Component {
    public function operation(): string;
    }
    “`

    ### Step 2: Create Concrete Components

    Create concrete implementations of the `Component` interface.

    “`php
    class ConcreteComponent implements Component {
    public function operation(): string {
    return “ConcreteComponent”;
    }
    }
    “`

    ### Step 3: Create the Decorator Class

    Create a decorator class that implements the same interface as the component it decorates. This class should have a field for the component it contains and delegate operations to the contained component.

    “`php
    abstract class Decorator implements Component {
    protected $component;

    public function __construct(Component $component) {
    $this->component = $component;
    }

    public function operation(): string {
    // Default behavior (if any)
    return $this->component->operation();
    }
    }
    “`

    ### Step 4: Create Concrete Decorators

    Create specific decorators for adding additional responsibilities to the component.

    “`php
    class ConcreteDecoratorA extends Decorator {
    public function operation(): string {
    // Call the parent’s implementation
    $result = parent::operation();
    // Add responsibility A
    return “ConcreteDecoratorA(“. $result. “)”;
    }
    }

    class ConcreteDecoratorB extends Decorator {
    public function operation(): string {
    // Call the parent’s implementation
    $result = parent::operation();
    // Add responsibility B
    return “ConcreteDecoratorB(“. $result. “)”;
    }
    }
    “`

    ### Step 5: Use the Decorator

    Now, you can use the decorator to add behavior to a component dynamically.

    “`php
    $component = new ConcreteComponent();
    echo $component->operation(). “\n”; // Output: ConcreteComponent

    $decoratedComponent = new ConcreteDecoratorA($component);
    echo $decoratedComponent->operation(). “\n”; // Output: ConcreteDecoratorA(ConcreteComponent)

    $fullyDecoratedComponent = new ConcreteDecoratorB($decoratedComponent);
    echo $fullyDecoratedComponent->operation(). “\n”; // Output: ConcreteDecoratorB(ConcreteDecoratorA(ConcreteComponent))
    “`

    This example demonstrates how the Decorator Pattern allows you to add or modify behavior of an object at runtime without changing its class. Each decorator wraps the original component and adds or overrides functionality, allowing for flexible and modular design.
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12. 

    Bob

    9 June 2024

    The decorator pattern response is a great starting point for a really good article. I get a better sense from this first draft than I’ve had from reading books about oop. If I keep working on this I can turn it into a very helpful article or even modules about oop.

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13. 

    Bob

    10 June 2024

    Assistant:
    To clarify the process of getting the text or the cell object (`this` equivalent) from a `td` cell when using event delegation, let’s break down the steps involved in your scenario:

    1. **Event Delegation**: You’ve correctly identified that event delegation involves attaching a single event listener to a parent element rather than adding individual listeners to each child element. This approach is efficient, particularly for dynamic content.

    2. **Detecting the Target Element**: In your example, you’re checking if the clicked element (`event.target`) matches the selector `’li’`. To adapt this for detecting clicks on `td` elements within a table, you would change the condition to check for `td` elements instead: `if (event.target.matches(‘td’))`.

    3. **Accessing the Text or Cell Object**:
    – **Text Content**: To get the text content of the clicked `td`, you can use `event.target.textContent` or `event.target.innerText`. These properties will give you the text as it appears on the screen.

    “`javascript
    document.getElementById(‘parent’).addEventListener(‘click’, function(event) {
    if (event.target.matches(‘td’)) {
    console.log(‘Text:’, event.target.textContent);
    }
    });
    “`

    – **Cell Object**: If you want to work with the `td` element itself (similar to using `this` in an inline event handler), `event.target` already gives you direct access to the clicked `td` element. You can then manipulate or retrieve properties from this element as needed.

    “`javascript
    document.getElementById(‘parent’).addEventListener(‘click’, function(event) {
    if (event.target.matches(‘td’)) {
    // Accessing properties of the td element
    console.log(‘Element:’, event.target);
    console.log(‘Attributes:’, event.target.attributes);
    }
    });
    “`

    4. **Example with Table**: Assuming your table has an ID of `myTable`, here’s how you might set up the event listener:

    “`html

    “`

    This setup allows you to efficiently handle events on `td` elements within a table by delegating the event handling to a single parent element.
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