๐๐๐ข๐ -๐ ๐ฒ ๐๐ญ๐๐ซ๐๐ฎ๐ฌ๐ญ ๐ซ๐ข๐ฌ๐๐ฌ ๐๐ ๐๐ข๐ง: ๐๐จ๐ฎ๐ฅ๐ ๐ญ๐ก๐ข๐ฌ ๐ง๐๐ฐ ๐ฅ๐๐ง๐ ๐ฎ๐๐ ๐ ๐ซ๐๐ฉ๐ฅ๐๐๐ ๐?๐ Programmers are always in pursuit of perfection, and Zig is the latest star in the systems programming galaxy. Whilst there are already powerful languages at our disposal (like C, C++, Rust, and Go), Zig aims to blend their best traits and deliver exceptional performance with a more developer-friendly experience. Since its inception by Andrew Kelley in 2015, Zig has been rapidly growing and is now approaching critical mass. Its audacious goal is to replace C, a language that has dominated as the portable low-level standard for decades. Hereโs all you need to know about this new star hitting the mainstage: โข Zig is described as a โlow-level systems language,โ but itโs versatile enough for general-purpose programming. According to Loris Cro, VP of Community at the Zig Software Foundation, Zig suits a wide range of applications, from systems programming and embedded devices to WebAssembly and game development. โข Zig allows developers to work directly with system memory, much like C and Rust, but with a focus on simplicity and safety. Its minimalist design, aimed at reducing common programming pitfalls, is a major draw. โข Zig's features, such as `defer` and `comptime` for compile-time code execution, offer modern conveniences and improved memory safety. This simplicity makes Zig easier to learn compared to more complex languages like C++ or Rust. โข Zig stands out with its explicit memory management. Unlike Cโs `malloc`, Zig uses an `Allocator` object for heap access, making memory use explicit and clear. This design prevents hidden allocations and makes code more predictable and reusable. โข Additionally, Zig incorporates safety features to prevent buffer overflows and includes a debug allocator to detect memory leaks. In summary, Zig is carving out its niche as a simpler, safer alternative to C, with the potential to significantly impact the programming landscape. What do you think? #development #programming #technology
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Zig is the new kid on block in the world of programming languages. It is designed as a successor for the C programming language. ๐ ๐ Zig was designed by Andrew Kelley and released first in 2016. Just like C, it is imperative, statically typed, and general-purpose programming language. Zig's primary design goals were robustness, maintainability and optimality. Additionally, it was designed to give C-like performance with safe memory management capabilities. Here are top 5 reasons why you must use Zig :- ๐ Performance & Safety - Zig's memory management avoids hidden allocations. It gives control to the programmers to manage memory instead of garbage collection. ๐ Cross-compilation - C language's compilation is tightly coupled with the machine's architecture and OS. Zig solves this by providing seamless cross-compilation. ๐ Interop with C/C++ - You can use modern language features and also rely on C/C++ functions in your application. ๐ Simplicity & Minimalism - Zig's standard library contains all the essential features and there are no hidden complexities. ๐ Compile-Time code execution - Code is executed during compilation process rather than runtime. This results in the generation of optimized and efficient executables. As a replacement of C, Zig can be applied for a variety of performance critical applications such as embedded systems development, building trading applications, game development, operating systems, etc. Since the language is relatively new, it will take some time for Zig to gain maturity. However, the ecosystem is growing fast and in the coming years, developers will have to choose between Go, Rust and Zig. ๐ Let me know in the comments below your thoughts on Zig and if you have used it before. In case you are new to Zig, go through the link in the first comment to explore the world of Zig and use it to develop a new application. ๐ Follow me for more such posts in tech. โป Repost this in case you found it useful. #programming #coding #softwaredevelopment
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๐ Explore the World of Synchronous and Asynchronous Programming! ๐ In today's article, we delve deep into the realms of synchronous and asynchronous programs. I've got you covered with all the critical aspects, backed by clear and concise examples. Unlock the power of programming efficiency with this insightful guide. Dive in now! ๐ #Programming #Asynchronous #Synchronous #Efficiency #TechInsights
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๐ Unlocking the Power of Dynamic Programming: A Must-Have Skill for Every Programmer ๐ ๐ก **Simplified Dynamic Programming: Finding Minimum Coins** ๐ก Imagine you're tasked with making change for a certain amount using the fewest coins possible. Dynamic Programming comes to the rescue with a smart strategy: 1. **Identify the Subproblem**: - Break down the problem into smaller, more manageable subproblems. In this case, consider making change for smaller amounts leading up to the target amount. 2. **Find the Base Case**: - Determine the base case. For example, to make change for 0, you need 0 coins. 3. **Build Solutions Iteratively**: - Use the solutions to smaller subproblems to construct the solution to the larger problem. Continuously optimize by considering the fewest number of coins needed for each amount. 4. **Memoize the Solutions**: - Store the solutions to subproblems in a table or array. This prevents redundant calculations and speeds up the process. 5. **Optimal Solution Reconstruction**: - Finally, reconstruct the optimal solution using the stored solutions. Trace back through the table to determine the coins used for the target amount. And there you have it! With Dynamic Programming, you efficiently solve the problem, minimizing both time and complexity. It's like having a smart assistant that finds the best solution step by step. ๐ฉโจ #DynamicProgramming #SimplifySolutions #OptimizationMagic #CodingTips๐ฅ๐ป #CodingAdventure #CodeHeroes #DPRevolution #apnacollege #dsa
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Programming is like a design operation. Once you nail the design, the rest is just execution. Focus on thinking through your solutions! https://lnkd.in/e9kM3DxX
Programming Is Mostly Thinking
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## Decoding Async vs. Sync Programming Understanding the Basics: # Async (Asynchronous): Runs in parallel threads. Sends multiple requests simultaneously. Non-blocking, allowing tasks to multitask. Boosts throughput with speedy operations. # Sync (Synchronous): Single-threaded, one task at a time. Processes requests one after another. Blocking, waiting for each task to complete. Methodical but can be slower. # Choosing the Right Approach: -Asynchronous programming allows more things to be done simultaneously and is typically used to enhance the user experience by providing an effortless, quick-loading flow. -Synchronous programming is best utilized in reactive systems. While it is simpler for developers to code and is recognized by every programming language, sync is resource-intensive and can slow things down. #programminglife #engineeringinnovation #embeddedprogramming #techsolutions #datatransmission #networking #firmwaredevelopment #softwareengineering #automotivetechnology #codingjourney #techinnovation #embeddeddevelopment #iotprojects #communicationskills #innovationintech #engineeringlife
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Programming is hard Having to translate real world requirements into abstract constructs that โ when evaluated by a computer โ model our problem domain to a satisfactory degree. And we have to do this while also considering how we best can model our...
myme.no - Programming is hard
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#Asynchronous programming: futures, async, awaitWhat is Asynchronous: Flutter #Asynchronous operations let your program complete work while waiting for another operation to finish. Here are some common asynchronous operations: - fetch data over a network - writing to a database - reading data form a file For more see my medium https://lnkd.in/evtW64ff
Asynchronous programming: futures, async, awaitWhat is Asynchronous: Fl
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Discover the power of ReasonML: a versatile language blending functional programming with a JavaScript-friendly syntax. Seamlessly compile to various platforms with fast execution and robust type safety. #ReasonML #Programming #DevTools
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1moAfter speaking with my network, I think for a lot of developers Zig is a useful code as it is huge on being transparent - the code you read is what happens. On smaller projects this can be helpful, however, on bigger projects Rust would still seem to be a go for most developers due to its safety features.