WJ Titan的动态

Why Interfaces Are Essential in C# In object-oriented programming, building adaptable and maintainable software architectures relies on selecting the right tools. While abstract classes are powerful, interfaces offer even greater flexibility. Let's delve into why interfaces are crucial, even when abstract classes exist. Challenges of Abstract Classes Alone Previously, programmers used abstract classes to mandate specific methods in derived classes. Here's an example: public abstract class Vehicle { public abstract void Drive(); public void Start() { /* Common starting mechanism */ } } This approach forces any class inheriting from 'Vehicle' to implement the 'Drive' method. However, consider creating a 'Bicycle' class that also needs a completely different set of actions, such as 'Balance'. Here's where abstract classes become limiting. A 'Bicycle' doesn't logically inherit from 'Vehicle' designed for motorized features. Solutions with Interfaces Interfaces address this flexibility issue by allowing classes to implement multiple interfaces, breaking free from a rigid inheritance structure. Here's how we can utilize interfaces: public interface IDriveable { void Drive(); } public interface IBalancable { void Balance(); } public class Bicycle : IBalancable, IDriveable { public void Drive() { /* Pedal power */ } public void Balance() { /* Keep upright */ } } With interfaces, 'Bicycle' can implement both driving and balancing behaviors without inheriting unnecessary methods or properties from a common 'Vehicle' class. This promotes a cleaner and more modular design. Benefits of Interfaces Interfaces are essential for creating highly modular software. They allow for the separation of functionalities and ensure that classes can be developed with greater precision, avoiding the burden of irrelevant methods. Happy coding! #CSharp #ObjectOrientedProgramming #Interfaces #SoftwareDevelopment #Coding

?? Maximizing Line Segment Cuts: A Dynamic Programming Approach ?? Recently, I worked on an interesting problem where the goal was to maximize the number of segments you can cut from a line segment of length n, using only specific cut lengths x, y, and z. The challenge was to figure out the optimal way to make these cuts to ensure the total number of segments is the highest possible. The Approach: To tackle this, I utilized a dynamic programming strategy: Initialize a DP Array: I created an array dp where dp[i] holds the maximum number of segments that can be obtained from a segment of length i. Base Case: If the length is 0, no cuts can be made, so dp[0] = 0. Iterative Calculation: For each length from 1 to n, I considered making a cut of length x, y, or z (if feasible). I then updated dp[i] to reflect the maximum possible segments using: dp[i] = max(dp[i-x] + 1, dp[i-y] + 1, dp[i-z] + 1). Final Result: The value dp[n] gives the maximum number of segments possible. Key Insight: By breaking down the problem into smaller sub-problems and building the solution bottom-up, dynamic programming ensures that we explore all possible ways to cut the segment efficiently. #geekstreak day 23

?Today I read class & object? #start ? #object oriented programming ? Classes and objects are fundamental concepts in object-oriented programming. A class is a blueprint for creating objects. It defines a type of object by specifying the attributes (data) and methods (functions) that characterize the objects of that class. For instance, a Car class might have attributes like color, model, and year, and methods such as start() and stop(). An object, on the other hand, is an instance of a class. It represents a specific example of a class with its own set of data. Using the Car class example, an object might be a specific car like a red 2020 Toyota Camry, with its own values for color, model, and year. Objects interact with each other and the program through their methods, making classes and objects a powerful way to structure and manage code in programming.

?? Mastering Loop Increments and Decrements in Programming ?? In the world of programming, loops are a powerful tool for automation and efficiency. A key aspect of loops is understanding how to control them using increments and decrements. Let’s break down these concepts and their significance! ?? Incrementing in Loops: Incrementing refers to increasing the loop control variable by a set value, typically by 1. It’s commonly used when you want to iterate through elements in a sequence or perform a task a specific number of times.?? Decrementing in Loops: Decrementing, on the other hand, means decreasing the loop control variable by a set value. This is useful when you need to count down or process elements in reverse order. ?? Pro Tips: Always ensure your loop has a well-defined termination condition to avoid infinite loops. Use meaningful variable names to enhance code readability and maintainability. Experiment with different step values (e.g., increment by 2, decrement by 3) to suit specific needs. Understanding and mastering increments and decrements in loops will significantly boost your coding efficiency and precision. Keep exploring and coding! ???? #Programming #Coding #SoftwareDevelopment #TechTips #Learning #Efficiency #Loops

As part of journey into assembly language programming, I'm thrilled to present DrawPro 8086 with my project members Samroz Burhan. A unique project that combines creativity with technical finesse on the 8086 architecture. Here's a quick rundown of what DrawPro 8086 is all about: DrawPro 8086 _______________ DrawPro 8086 is an assembly 8086 project designed to provide two distinct modes for graphic manipulation on screen using interrupts. Implementation Details _________________________ ? Written in assembly language for 8086 architecture. ? Utilizes BIOS interrupts for screen and mouse interaction. ? Implements data structures for managing shape properties and screen updates. Modes _______ Draw Mode _____________ ? Allows users to draw freely on the screen. ? Utilizes int 33h interrupts for mouse input. ? Enables drawing using mouse clicks and movements. Shape Builder Mode ______________________ ? Offers predefined shapes: square, rectangle, circle, and triangle. ? Users can customize: ? Size (length, width, radius, sides). ? Colors (foreground and background). ? Shapes are drawn automatically based on user input. Features _________ ? Interactive graphical interface using mouse interrupts (int 33h). ? Real-time rendering of shapes and drawings on screen. ? Color customization for shapes drawn elements. ? Seamless mode switching between Draw Mode and Shape Builder Mode. Conclusion ___________ DrawPro 8086 provides a robust platform for graphic manipulation in assembly 8086, offering both freeform drawing capabilities and structured shape building functionalities. This project is ideal for educational purposes to explore low-level programming with real-time graphical outputs. #AssemblyLanguage, #8086, #Programming, #ComputerGraphics, #CreativeCoding GitHub Repo: https://lnkd.in/dgjXP3FN

Real-time programming in multi-threaded applications with mixed timing requirements requires careful analysis of potential sources of latency to ensure execution deadlines are met. One such source of latency, priority inversion, can be particularly hard to predict or diagnose. In the following blog post we share strategies for identifying, measuring, and eliminating latency caused through priority inversion. Whether you are looking for example repositories or just want to learn more about challenges in real-time programming, Stephanie Eng's summary of her ROSCon 2023 Real-Time Programming?workshop beautifully illustrates our approach to building robust, real-time applications for robotic systems.

Maybe its an Oregon thing although I think it goes far beyond. I can never get enough of the seeds of knowledge that Kent Beck shares. I was inspired to interpolate through the following: To support and encourage skilled journeyman programmers, good leaders can incorporate the following principles extrapolated from Kent Beck's post: Observation and Guidance: Leaders should observe the workflows of skilled journeyman programmers and provide guidance on adopting effective patterns observed in master programmers' workflows. Encouraging the adoption of these patterns can enhance the journeyman programmers' problem-solving capabilities. Time Management: Leaders can emphasize the importance of time management by promoting techniques like slicing projects, focusing on one task at a time, and making incremental changes. This approach can help journeyman programmers handle complex tasks more effectively. Learning and Development: Leaders should create a culture of continuous learning by encouraging journeyman programmers to call their shots, articulate hypotheses, and remove extraneous details. Providing opportunities for learning and growth can enhance their problem-solving skills. Risk Management: Effective leaders can guide journeyman programmers in managing risks by following principles like the 80/15/5 rule. By allocating time wisely between low-risk tasks, high-risk opportunities, and exploratory endeavors, journeyman programmers can expand their skills and knowledge. Supporting Innovation: Leaders should foster an environment that supports innovation by encouraging journeyman programmers to explore new ideas, feed their creativity, and take calculated risks. This approach can help them develop innovative solutions and contribute to the team's success. By incorporating these principles into their leadership practices, leaders can empower and encourage skilled journeyman programmers to enhance their problem-solving abilities, drive innovation, and achieve high performance within the team. #inspiration?#leadership?#extremeownership?#believe?#extremeownership

?? **Day 67 of DSA Challenge: Dynamic Programming - Min Cost of Combining Slimes** ?? Today's task involves understanding and analyzing a solution to compute the minimum cost of combining slimes using dynamic programming. Let's delve into the provided code! **Code Explanation:** - The function `minCost` calculates the minimum cost of combining slimes represented by their weights. - It utilizes a dynamic programming approach to efficiently compute the minimum cost. - Two matrices `cost` and `sum` are initialized to store cost values and cumulative sums respectively. - The `sum` matrix is initialized with the weights of individual slimes along the main diagonal. - The `cost` matrix is filled iteratively using a bottom-up approach. - For each subarray of slimes from `row` to `col`, the function computes the minimum cost by considering all possible partitions. - It iterates through all possible partition points `k` within the subarray and computes the cost of combining slimes at each partition. - The minimum cost is updated for each subarray, and the cumulative sum of slimes is also updated accordingly. - The final minimum cost is stored at `cost[0][n-1]` and returned as the result. **Explanation of Min Cost of Combining Slimes:** - The problem involves finding the minimum cost of combining slimes into a single slime. - Each slime has a weight, and combining two slimes incurs a cost equal to the product of their weights. - The objective is to minimize the total cost of combining all slimes into a single slime. - Dynamic programming is an efficient approach to solve this problem by breaking it down into smaller subproblems and computing their solutions iteratively. Experiment with different sets of slimes' weights to observe how the minimum cost is calculated! Keep up the excellent progress on the DSA challenge! #DynamicProgramming #MinCost #DSADay67 #AlgorithmInsights

Today I delved into studying the concept of Feature Sliced Design - an approach to software design aimed at improving code support and maintainability. The main idea is to break down the application into separate "features" or "feature slices", each of which contains all the necessary components to implement a specific functionality. Feature Sliced Design allows for more efficient management of application development, improving its scalability and maintainability. This approach also contributes to increased code reusability and simplifies application testing. Studying Feature Sliced Design has helped me better understand how to organize the structure of an application to make it more flexible, modular, and easy to support and expand. #FeatureSlicedDesign #Coding #Programming

?? ???????????? ?????? ???? ?????????? ?????????????? ???????? ???????????????????? ???? ????????????????????: Control flow statements are essential programming constructs that determine the order in which statements are executed. They allow you to make decisions, repeat code blocks, and control the flow of your program. ???? ???????????????????? Simple if: Executes a block of code if a given condition is true. ????-????????: Executes one block of code if a condition is true, and another block if it's false. ????-???????? ????-????????: Allows for multiple conditions to be checked and corresponding actions to be taken. ?????? ?????????? Basic for loop: Executes a block of code a specified number of times, often used for iterating over collections or arrays. ???????????????? ?????? ????????: A simplified version of the for loop specifically designed for iterating over elements of arrays or collections. ?????????? ?????????? Basic while loop: Executes a block of code as long as a given condition remains true. ????-?????????? ????????: Executes a block of code at least once, then continues to execute as long as a given condition remains true. Control flow statements are fundamental building blocks of programming, enabling you to create dynamic and flexible applications. hashtag #Programming #SoftwareDevelopment