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"Simplicity is prerequisite for reliability." - Edsger W. Dijkstra Edsger W. Dijkstra, a seminal figure in computer science, famously emphasized the importance of simplicity in achieving reliable software. This principle is particularly vital for those new to coding, where the temptation to implement complex solutions can often lead to unnecessary complications and unreliable results. For beginners, embracing simplicity means focusing on the most straightforward approach to solve a problem. This doesn't just apply to writing individual lines of code; it encompasses the overall design of your projects. By prioritizing simplicity, you reduce the chances of introducing errors, make your code easier to test, and improve its maintainability. Here are a few ways to embrace simplicity in your coding projects: - Break Problems Down: Decompose complex problems into smaller, manageable parts. This approach not only makes the problem easier to understand and solve but also results in simpler, more elegant code. - Use Clear Naming Conventions: Simple, descriptive names for variables and functions make your code easier to read and understand. This clarity is crucial for both debugging and future code modifications. - Avoid Unnecessary Features: It’s tempting to add more features because you can, but every additional feature complicates the system. Focus on what’s necessary to meet the project’s requirements. Understanding and implementing the concept of simplicity helps you create more robust and dependable software. It teaches you to evaluate the necessity and impact of every element in your code, guiding you toward becoming a thoughtful and effective programmer. The ethos of simplicity also extends to how you learn to code. By starting with the basics and solidifying your understanding before moving on to more complex concepts, you build a strong foundation that supports reliable and efficient coding practices. So, as you progress in your coding journey, keep Dijkstra's words in mind. Prioritize simplicity not just in your code, but in your approach to learning and problem-solving. This principle will serve you well throughout your career, enhancing the reliability of your work and the clarity of your thought processes. P.S. Can you recall a project where a simpler solution proved to be more effective than a complex one? What did that teach you? ******* I am Manish. I help beginners learn coding. Follow me here: https://lnkd.in/d8EXqDsW 🔄 Repost this post

Hey there, fellow developer! I know how tough it can be to keep learning and getting better at coding. Sometimes, we miss out on important stuff that can really make us great developers. But I've stumbled upon some fantastic free resources that I just have to share with you. Here are two of my favorites: Refactoring Guru: This website is a goldmine of knowledge, with beautiful illustrations and clear explanations. It dives deep into two important topics: refactoring and design patterns. You'll learn how to identify why your code is messy and the best ways to tidy it up, making it easier to understand and maintain. Plus, it covers all 22 classic design patterns and provides code examples in multiple languages. Exercism: If you're looking to learn a new programming language, Exercism is the place to go. It's a platform where you can learn by doing, with exercises ranging from beginner to advanced levels. There are over 70 languages to choose from, and some even have special learning roadmaps that guide you through topics step by step. This helps you learn quickly without wasting time bouncing between articles. Whether you're tackling a language with great documentation or not-so-great documentation, Exercism is a valuable addition to your learning journey. That's it for now! Thanks for reading, and be sure to share in the comments if you've come across any other amazing free resources. Happy coding! 👩💻👨💻 See you next time!

"Walking on water and developing software from a specification are easy if both are frozen." - Edward V Berard This clever quip from Edward V Berard offers a delightful and insightful take on the inherent challenges in software development. Unlike the predictable solidity of ice, software requirements often shift, driven by user feedback, technological advancements, or market dynamics. For coding beginners, understanding and embracing this fluidity is crucial to your development and success. Adaptability in Learning and Coding Starting your coding journey might seem daunting, especially when you're trying to follow rigid specifications or tutorials. The key to success, however, lies not just in learning how to code, but learning how to adapt when those initial plans change. Real-World Coding: Expect Changes In real-world projects, rarely do specifications remain static. Clients may change their minds, or you might find that what you've built needs rethinking. This is where flexibility becomes your greatest tool. Viewing changes as opportunities for improvement rather than setbacks can transform your coding practice from good to great. Strategies for Adaptive Learning 1. Incremental Learning: Tackle small portions of technology or concepts daily. This way, when changes occur, they are less overwhelming and easier to integrate into what you already know. 2. Feedback Loops: Regularly seek feedback on your code from peers, mentors, or user tests. This real-time input can guide your learning and help you adjust more effectively to changing requirements. 3. Continuous Improvement: Embrace the idea that your first draft won't be perfect. Each revision and each project is a chance to refine and develop your skills. Flexibility in coding isn't just about making changes; it's about improving and evolving with the landscape of technology. The ability to adapt and learn from each iteration is what will define your success as a coder. P.S. How do you handle changes when coding? ******* I am Manish. I help beginners learn coding. Follow me here: https://lnkd.in/d8EXqDsW 🔄 Repost this post

"One man’s crappy software is another man’s full-time job." – Jessica Gaston  - Addressing code maintenance is crucial in computer science education.  - It's not just about creating code, but also about refining and improving.  - Let's explore how to tackle the challenges of existing code.  - Start by understanding the original code.  - Comprehending what the code does is the first step in improvement.  - It's important to grasp the original developer's intent.  - Teach the importance of good documentation.  - Well-documented code is easier to maintain and upgrade.  - Encourage students to document their code thoroughly.  - Highlight the role of refactoring in code improvement.  - Refactoring involves restructuring existing code without changing its behavior.  - It’s about enhancing code efficiency and readability.  - Discuss the importance of testing in maintenance.  - Regular testing ensures updates don’t break existing functionality.  - It's crucial for maintaining the integrity of the code.  - Stress the value of understanding user feedback.  - Feedback can guide improvements and feature updates.  - It’s important to align changes with user needs.  - Encourage a proactive approach to bug fixing.  - Addressing issues early can prevent larger problems later.  - A proactive stance is key in effective code maintenance.  - Promote continuous learning and upskilling.  - Keeping up-to-date with new technologies aids in code improvement.  - It’s about staying relevant in a rapidly evolving field.  - Teach the balance between adding features and maintaining simplicity.  - Avoid overcomplicating the code with unnecessary features.  - It’s about finding the right balance to meet user needs effectively.  - Highlight the benefits of collaborative code reviews.  - Peer reviews can offer new perspectives for improvement.  - Collaboration is a powerful tool in effective code maintenance.  - Remind them that maintaining code is an ongoing process.  - It’s about continuous improvement and adaptation.  - Effective maintenance ensures the longevity and success of software. P.S. How does your child approach the task of improving existing code? → Join 6000+ subscribers to learn Python for Free here: https://lnkd.in/dpqiNJ6H 👉 10 Day Coding Course: Start Today www.codingdsa.com 🔄 Repost this post

Learning to code may seem overwhelming, but there's a wealth of free and incredible resources available online to help you get started. Bonus : Join me for an engaging workshop on creating enterprise grade GenAI apps! ✳️ 𝗥𝗦𝗩𝗣 𝗵𝗲𝗿𝗲 - https://brij.guru/ai This infographic showcases a handpicked selection of YouTube channels offering a diverse range of coding tutorials, catering to various programming languages and topics. Whether you're a novice or seeking to polish your existing skills, you'll undoubtedly find a channel on this list that perfectly aligns with your needs. 🌟 Featured channels in the infographic include: • FreeCodeCamp • The Coding Train • Traversy Media • Net Ninja • Kevin Powell (The Magic of SQL) • Telusko • Programming with Mosh • Krish Naik • Derek Banas • CodeBullet In addition to the aforementioned channels, the infographic also encompasses: • A curated list of channels dedicated to specific programming languages, such as Java, Python, JavaScript, and C++ • Channels focusing on 𝗗𝗲𝘃𝗢𝗽𝘀, 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, and Web Development • A segment highlighting soft skills for programmers, including interview tips I wholeheartedly endorse exploring this infographic if you're passionate about embarking on your coding journey. Moreover, if you have any additional cherished YouTube coding channels, I encourage you to share them in the comments section below!

I have been using GitHub Copilot for the past few months and it's a great coding companion especially if you are building projects. 1. It has helped me write documentation. 2. Auto-complete suggestions help in understanding the logic much better. 3. It catches any syntax error. 4. Helps in writing reusable and much readable code. The biggest advantage is that it adapts to your coding style. I use it only when I need to set up new projects and when a task needs to be done repetitively. At the same time, when learning new technologies it's better to turn it off because it helps in grasping the concepts on our own.

Computer Science Insights: Mastering the Art of Writing Clean Code In the world of coding and software development, the ability to write clean, readable, and maintainable code is more than a skill—it's a necessity. For beginners, understanding the principles of clean code is foundational to not only writing efficient code but also fostering good programming habits early on. Let's explore some best practices for writing clean code, emphasizing readability and simplicity. Why Clean Code Matters: - Maintenance and Scalability: Clean code is easier to read, understand, and thus, maintain. It makes the debugging process quicker and upgrading the software smoother. - Collaboration: When code is clean, other developers can easily understand and contribute to the project without deciphering what the original code was supposed to do. - Efficiency: Well-written code helps to ensure that the program runs efficiently and errors are minimized from the outset. Principles of Writing Clean Code: 1. Readability: The code should be easy to read and understand. Use meaningful names for variables and functions; they should describe their intent without needing additional comments. 2. Simplicity: The best code is the one that accomplishes a task in the simplest way possible. Avoid unnecessary complexity by using the simplest possible algorithm to accomplish a task. 3. Refactoring: Regularly refine and rewrite your code to improve its internal structure without changing its external behavior. This practice not only enhances cleanliness but also updates it to newer standards. 4. Consistency: Adopt a coding standard for your project and stick to it. Whether it’s naming conventions, file organization, or comment style, consistency makes your code more organized and accessible. 5. Testing: Write tests for your code to ensure it works as expected and to catch bugs before they become a problem. Automated tests can save you time and stress in the long run. Writing clean code is an investment. Initially, it might seem like it requires more effort, but the long-term benefits of maintainability, scalability, and reduced error rates are invaluable. As you grow in your coding journey, continually refine your approach and adopt practices that enhance the clarity and purpose of your code. P.S. What’s one clean coding practice you’ve implemented that has significantly improved your programming? 💻 Beginners-Friendly Coding Courses: Start Today www.codingdsa.com/courses/ 👉 Book a Trial Session Now: www.codingdsa.com/demo/ 🔄 Repost this post

Computer Science Insights: Mastering the Art of Writing Clean Code In the world of coding and software development, the ability to write clean, readable, and maintainable code is more than a skill—it's a necessity. For beginners, understanding the principles of clean code is foundational to not only writing efficient code but also fostering good programming habits early on. Let's explore some best practices for writing clean code, emphasizing readability and simplicity. Why Clean Code Matters: - Maintenance and Scalability: Clean code is easier to read, understand, and thus, maintain. It makes the debugging process quicker and upgrading the software smoother. - Collaboration: When code is clean, other developers can easily understand and contribute to the project without deciphering what the original code was supposed to do. - Efficiency: Well-written code helps to ensure that the program runs efficiently and errors are minimized from the outset. Principles of Writing Clean Code: 1. Readability: The code should be easy to read and understand. Use meaningful names for variables and functions; they should describe their intent without needing additional comments. 2. Simplicity: The best code is the one that accomplishes a task in the simplest way possible. Avoid unnecessary complexity by using the simplest possible algorithm to accomplish a task. 3. Refactoring: Regularly refine and rewrite your code to improve its internal structure without changing its external behavior. This practice not only enhances cleanliness but also updates it to newer standards. 4. Consistency: Adopt a coding standard for your project and stick to it. Whether it’s naming conventions, file organization, or comment style, consistency makes your code more organized and accessible. 5. Testing: Write tests for your code to ensure it works as expected and to catch bugs before they become a problem. Automated tests can save you time and stress in the long run. Writing clean code is an investment. Initially, it might seem like it requires more effort, but the long-term benefits of maintainability, scalability, and reduced error rates are invaluable. As you grow in your coding journey, continually refine your approach and adopt practices that enhance the clarity and purpose of your code. P.S. What’s one clean coding practice you’ve implemented that has significantly improved your programming? 💻 Beginners-Friendly Coding Courses: Start Today www.codingdsa.com/courses/ 👉 Book a Trial Session Now: www.codingdsa.com/demo/ 🔄 Repost this post

Tips To Become a Better Programmer 1. Practice Consistently Set aside regular time for coding practice. Consistency is critical to improving your skills 2. Learn by Doing Apply what you learn by building projects. Hands-on experience solidifies concepts. When you tackle a new idea, build mini-projects 3. Read Code Study other people’s code, whether open-source projects or tutorials. It’s always good to understand different coding styles and patterns 4. Embrace Challenges Don’t shy away from complex problems. Tackling challenges helps you develop problem-solving skills. From my experience, I learned the most when I struggled. 5. Use Version Control Git and platforms like GitHub are essential. Learning version control helps you collaborate effectively. That’s also a base skill when you want to work in a company. 6. Stay Curious Technology evolves quickly. Stay curious and keep exploring new languages, frameworks, and tools. Don’t become obsessed by jumping on each new framework, but be aware of them. There are many YouTube channels, podcasts, and blogs that can help you to do that. 7. Seek Feedback Share your code and projects for feedback. Constructive criticism helps you improve faster. That’s also a mechanism enabled by Git with the review process (used in Open-Source and companies).

Computer Science Insights: Mastering the Art of Writing Clean Code In the world of coding and software development, the ability to write clean, readable, and maintainable code is more than a skill—it's a necessity. For beginners, understanding the principles of clean code is foundational to not only writing efficient code but also fostering good programming habits early on. Let's explore some best practices for writing clean code, emphasizing readability and simplicity. Why Clean Code Matters: - Maintenance and Scalability: Clean code is easier to read, understand, and thus, maintain. It makes the debugging process quicker and upgrading the software smoother. - Collaboration: When code is clean, other developers can easily understand and contribute to the project without deciphering what the original code was supposed to do. - Efficiency: Well-written code helps to ensure that the program runs efficiently and errors are minimized from the outset. Principles of Writing Clean Code: 1. Readability: The code should be easy to read and understand. Use meaningful names for variables and functions; they should describe their intent without needing additional comments. 2. Simplicity: The best code is the one that accomplishes a task in the simplest way possible. Avoid unnecessary complexity by using the simplest possible algorithm to accomplish a task. 3. Refactoring: Regularly refine and rewrite your code to improve its internal structure without changing its external behavior. This practice not only enhances cleanliness but also updates it to newer standards. 4. Consistency: Adopt a coding standard for your project and stick to it. Whether it’s naming conventions, file organization, or comment style, consistency makes your code more organized and accessible. 5. Testing: Write tests for your code to ensure it works as expected and to catch bugs before they become a problem. Automated tests can save you time and stress in the long run. Writing clean code is an investment. Initially, it might seem like it requires more effort, but the long-term benefits of maintainability, scalability, and reduced error rates are invaluable. As you grow in your coding journey, continually refine your approach and adopt practices that enhance the clarity and purpose of your code. P.S. What’s one clean coding practice you’ve implemented that has significantly improved your programming? 💻 Beginners-Friendly Coding Courses: Start Today www.codingdsa.com/courses/ 👉 Book a Trial Session Now: www.codingdsa.com/demo/ 🔄 Repost this post