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海外TECH MakeUseOf 4 Ways to Get in the Zone While Working Digitally https://www.makeuseof.com/ways-to-get-in-zone/ digitallylooking 2022-12-29 20:30:16
海外TECH MakeUseOf The Top 8 Visual Studio Themes You Should Try https://www.makeuseof.com/visual-studio-top-themes/ themes 2022-12-29 20:30:16
海外TECH MakeUseOf How to Open the Calculator in Windows 11 https://www.makeuseof.com/windows-11-open-calculator/ shortcut 2022-12-29 20:15:15
海外TECH DEV Community How to Render Static Text with SDL2 https://dev.to/patrickodacre/how-to-render-static-text-with-sdl2-51l8 How to Render Static Text with SDLThe Code To render the text to the screen we still require our game loop I ve tried to move as much of that boilerplate secondary code outside of the main function so you can focus on what is necessary for rendering text Initializing the SDL TrueType Font LibraryAs with all SDL libraries we need to initialize the TTF library before we can use it and this includes chosing the font we want to use for the text textures we want to render For our example we ll use the Terminal font init font SDL TTF Init assert init font SDL GetErrorString game font SDL TTF OpenFont Terminal ttf game font size assert game font nil SDL GetErrorString Creating Textures from Our Chosen TextNext we ll create a helper function for creating our text textures create textures for the given str optional scale param allows us to easily size the texture generatedcreate text proc str cstring scale i gt Text create surface surface SDL TTF RenderText Solid game font str COLOR WHITE defer SDL FreeSurface surface create texture to render texture SDL CreateTextureFromSurface game renderer surface destination SDL Rect dest rect SDL Rect SDL TTF SizeText game font str amp dest rect w amp dest rect h scale the size of the text dest rect w scale dest rect h scale return Text tex texture dest dest rect With the exception of the text itself and the sizing the code is the same for creating each texture Using this helper function allows us to avoid typing the same code again and again The Text StructNotice the create text function returns a new object TextText struct tex SDL Texture dest SDL Rect This struct holds a reference to our texture and the SDL Rect used to render the texture to the window What is a texture It is the object we render to the window in the rectangular space designated by the SDL Rect created It is created from the cstring text we want to display in our chosen font We re creating these textures before our loop We only need to create our texture once for a given size there s no need to recreate these textures on each game loop iteration game texts TextId Title create text Testing game texts TextId SubTitle create text One Two Three TextId EnumTo help keep track of our Text objects we re storing each in an enumerated array with easy to read lookup keys that are enum variants Enums or Enumeration Types define a new type with the values we choose In our case we have a type of TypeId with possible values Title and SubTitle When we want to render one of our text textures we just have to get it from our array and tell SDL where to render it title game texts TextId Title render roughly at the center of the windowtitle dest x WINDOW WIDTH title dest w title dest y WINDOW HEIGHT title dest h SDL RenderCopy game renderer title tex nil amp title dest Changing Font SizeThere are two ways we change the font size after we set it with SDL TTF OpenFont Re setting the font size using SDL TTF SetFontSize and recreating any textures Scaling our destination SDL Rect to which we render our texture 2022-12-29 20:44:45
海外TECH DEV Community The Python of Revenge! https://dev.to/ayka_code/the-python-of-revenge-1bcl The Python of Revenge Hello readers I usually write tutorials and articles about programming But today I wanted to switch things up and share a story with you The Python of Revenge is a gripping tale about a programmer who seeks revenge against a friend who forced him to learn a language he hated I hope you enjoy this change of pace and the twists and turns of the story Happy reading It was a typical weekday evening when Alex a young programmer received a phone call from his friend Jack Hey man what s up Alex asked Just wanted to remind you that Python is the way to go Jack replied You re wasting your time with JavaScript Trust me you ll thank me later Alex rolled his eyes He had heard this argument from Jack countless times before and was not in the mood to listen to it again I appreciate the advice but I m happy with my choice Alex said trying to end the conversation But Jack was not ready to give up so easily Come on man just give it a chance You never know you might actually like it Alex sighed I ll think about it okay I ve got to go now As soon as he hung up the phone the door to his apartment burst open and a group of masked men stormed in What the hell is going on Alex shouted panicked One of the men stepped forward and spoke in a menacing voice Your mother has been kidnapped If you want to see her alive again you ll do exactly as we say Alex s heart raced as the man handed him a note It contained a list of three apps that he had to build before midnight or his mother would be killed I can t do this Alex said his voice shaking I don t know how to code in Python The man sneered Then you d better learn fast And don t even think about calling the police or trying to escape We ve cut the phone lines and sealed all the windows and doors You re on your own With that the men left leaving Alex alone and terrified He knew he had no choice but to try to learn Python and build the apps He searched his apartment for any resources that could help him and to his surprise he found a book on Python that he had never seen before A note from the kidnapper was attached informing him that this was the only resource he had to work with Alex s heart sank He had always struggled with learning new programming languages and he hated the idea of having to learn Python But he knew he had to do whatever it took to save his mother I have to sacrifice my brain cells for the sake of my mom he said to himself determined He spent the next hour frantically reading and studying the book trying to absorb as much information as he could Then he sat down at his computer and began coding the first app The hours ticked by as Alex worked tirelessly his fingers flying across the keyboard as he poured all of his energy into the task at hand Finally just minutes before midnight he completed the final app But as he sat back to catch his breath he realized that he had no way to send the apps to the kidnapper The internet was also cut off and he had no idea how or where to deliver the apps Exhausted and defeated Alex collapsed onto his bed and fell asleep When he woke up the next morning he was surprised to find his mother standing at the foot of his bed smiling at him Mom What are you doing here Alex exclaimed sitting up in bed I was invited to a friend s house last night and stayed there she replied I had no idea what was going on until I came home this morning and saw all the police cars outside Alex s mind raced as he pieced together the events of the previous night He couldn t believe that his friend Jack had been behind it all He did all of this just to get me to learn Python he muttered to himself still in shock Two years later despite becoming a skilled Python developer thanks to the forced lesson from his friend Alex still disliked the language and his job as a Python developer He was unhappy and depressed and he wanted to get revenge on his friend for forcing him to learn a language he didn t enjoy Despite his initial reluctance he had worked hard to become proficient in Python but he still resented the fact that he had been forced into a career he didn t truly want His unhappiness and resentment fueled his desire for revenge So one day Alex put his plan into action He tracked down Jack s mother and with cold calculation kidnapped her He took her to an abandoned warehouse where he tied her to a chair and stared at her with a mixture of hatred and glee in his eyes Do you know why you re here he asked his voice dripping with venom The terrified woman shook her head tears streaming down her face It s because of your son Alex spat out He forced me to learn a programming language I hated and now I m stuck in a career I don t even want He ruined my life and now it s time for him to pay As the woman begged for mercy Alex reached into a nearby crate and pulled out a large wooden box With a sadistic smile he placed the box on the ground in front of the woman and opened the lid revealing a writhing mass of snakes These are pythons just like the programming language that ruined my life he said his eyes gleaming with madness And now you re going to join them in death The woman screamed as Alex shoved her into the box and slammed the lid shut trapping her inside with the snakes He stood by and watched as the pythons coiled around her body their fangs sinking into her flesh as she writhed in agony As the woman s cries grew weaker and weaker Alex reached into his pocket and pulled out a book on learning Python He placed it on the ground next to the box and scribbled a note on a piece of paper This is how bad Python can be the note read With a satisfied smile Alex walked away knowing that Jack would suffer greatly when he discovered what had happened to his mother His hatred and desire for revenge had driven him to commit a heinous crime and he felt no remorse for his actions 2022-12-29 20:30:59
海外TECH DEV Community Why I always favor Serverless over Kubernetes https://dev.to/peibolsang/why-i-will-always-favor-serverless-over-kubernetes-j9o Why I always favor Serverless over Kubernetes IntroductionWait before you go and pitch your boss on ditching your current setup in favor of serverless without knowing all the details let s talk about the other player in town first Kubernetes Kubernetes or Ks as the cool kids call it has gained a lot of popularity in recent years as a container orchestration platform It s definitely a powerful tool and has its place in the world of cloud computing But is it the right fit for your needs In this blog post we re going to compare serverless and Kubernetes and try to answer that question We ll go over the benefits of both and help you understand when it makes sense to use one over the other And just to keep things interesting we ll even throw in some jokes along the way because seriously cloud computing doesn t have to be so serious all the time So let s dive in What is Serverless Computing First things first let s define what we re talking about when we say serverless computing Serverless computing is a cloud computing execution model in which the cloud provider dynamically allocates resources to run an application s code in response to incoming requests or events This means that the developer doesn t have to worry about provisioning or maintaining servers they can just focus on writing code that runs in response to certain triggers One of the main benefits of serverless computing is that it allows for a pay per use model You only pay for the resources consumed while running the code which can result in significant cost savings compared to traditional cloud computing models where you pay for resources even when they re not being used It s like the Netflix model but for cloud computing Serverless computing also allows for faster deployment and scalability Since the cloud provider is responsible for managing the underlying infrastructure it s much easier to deploy and scale applications without having to worry about capacity planning or resource allocation It s like having your own personal cloud genie just snap your fingers and boom your application is deployed and scaling like magic What is Kubernetes Now let s talk about Kubernetes Kubernetes is an open source container orchestration platform that was originally developed by Google It allows you to automate the deployment scaling and management of containerized applications In a Kubernetes setup you create pods that contain one or more containers These pods can then be scaled up or down based on the needs of your application Kubernetes also provides features for load balancing and rolling updates so you can update your application without any downtime So What s the Verdict Serverless or Kubernetes Ok now for the big question which one is better As with most things in life the answer is it depends Both serverless and Kubernetes have their own unique benefits and drawbacks and the right choice will depend on your specific needs and goals That being said there are a few key differences between the two that might help you make your decision Simplified Architecture With serverless computing the developer doesn t have to worry about the underlying infrastructure or the management of containers This simplifies the architecture of the application allowing the developer to focus on writing code that runs in response to certain triggers Kubernetes on the other hand requires a bit more setup and management You have to worry about creating and scaling pods as well as monitoring and maintaining the underlying infrastructure Pay Per Use Model As we mentioned earlier serverless computing offers a pay per use model where you only pay for the resources consumed while running the code This can be a big cost savings compared to traditional cloud computing models Kubernetes on the other hand operates on a more traditional model where you pay for the resources you use regardless of whether your code is running or not Faster Deployment and Scalability As we mentioned earlier serverless computing allows for faster deployment and scalability as the cloud provider is responsible for managing the underlying infrastructure Kubernetes also allows for fast deployment and scaling but you have to manage the underlying infrastructure yourself Integration with Cloud Services Many cloud providers offer a wide range of services that can be easily integrated with serverless applications such as databases message queues and analytics tools This allows for the creation of highly scalable and performant applications with minimal effort Kubernetes also allows for integration with various cloud services but it requires a bit more setup and management Improved Security With serverless computing the developer doesn t have to worry about patching and updating the underlying infrastructure as the cloud provider is responsible for this This can improve the overall security of the application as it reduces the attack surface and ensures that the infrastructure is always up to date Kubernetes also offers various security features but the developer is responsible for managing and maintaining them So as you can see both serverless and Kubernetes have their own benefits and drawbacks It s up to you to decide which one is the right fit for your needs But Wait There s More Of course there s much more to consider when choosing between serverless and Kubernetes Here are advanced concepts every software engineer should know about serverlessEvent Driven Architecture Serverless computing relies on an event driven architecture where the code is executed in response to certain triggers such as incoming HTTP requests database updates or the arrival of new data in a message queue It is important for software engineers to understand how to design and build applications using this architecture and to be familiar with the various types of triggers that are available Function as a Service FaaS Serverless computing relies on the concept of functions as a service or FaaS where individual pieces of code are executed in response to certain triggers It is important for software engineers to understand how to write and deploy these functions and to be familiar with the various frameworks and platforms that are available such as AWS Lambda Azure Functions and Google Cloud Functions Cold Start Latency One of the challenges of serverless computing is the potential for cold start latency where it takes longer for a function to execute when it has not been recently used It is important for software engineers to understand how to minimize this latency and to be familiar with the various techniques that can be used such as keeping functions warm or using a higher memory allocation Scaling With serverless computing the cloud provider is responsible for scaling the application based on the incoming traffic It is important for software engineers to understand how this scaling works and to be familiar with the various tools and techniques that can be used to optimize it Monitoring and Debugging With serverless computing the cloud provider is responsible for managing the underlying infrastructure which can make it more difficult to monitor and debug issues It is important for software engineers to be familiar with the various tools and techniques that can be used to monitor and debug serverless applications such as cloud provider logs APM tools and debugging tools like AWS X Ray State Management With traditional cloud computing it is easy to store state in a database or on the filesystem of a server With serverless computing this becomes more challenging as the underlying infrastructure is ephemeral and the code is executed in response to certain triggers It is important for software engineers to understand how to manage state in a serverless environment and to be familiar with the various options that are available such as using a database or using a cache like Redis Integration with Third Party Services One of the benefits of serverless computing is the ability to easily integrate with a wide range of third party services such as databases message queues and analytics tools It is important for software engineers to understand how to integrate these services into a serverless application and to be familiar with the various APIs and SDKs that are available Security With serverless computing the developer does not have to worry about patching and updating the underlying infrastructure as the cloud provider is responsible for this However it is still important for software engineers to understand how to secure a serverless application and to be familiar with the various best practices and tools that are available such as using encryption and implementing proper access controls Cost Optimization One of the benefits of serverless computing is the pay per use model where the developer only pays for the resources consumed while running the code It is important for software engineers to understand how to optimize costs in a serverless environment and to be familiar with the various tools and techniques that can be used such as using reserved instances or optimizing the memory allocation of functions CI CD With serverless computing it is important to have a robust CI CD pipeline in place to ensure that code is deployed quickly and efficiently It is important for software engineers to be familiar with the various tools and techniques that can be used to automate the deployment of serverless applications such as using a deployment platform like AWS CodePipeline or using a serverless framework like Serverless Serverless Frameworks There are various frameworks available that can help software engineers build and deploy serverless applications more easily These frameworks typically provide a set of tools and libraries that can be used to define and deploy functions as well as handle tasks like scaling monitoring and deployment Some examples of popular serverless frameworks include AWS SAM Serverless and OpenFaaS Event Driven Data Processing Serverless computing is well suited for event driven data processing where data is processed in real time as it is generated It is important for software engineers to understand how to design and build applications that can handle this type of data processing and to be familiar with the various tools and techniques that can be used such as using a message queue or a stream processing platform like Apache Kafka or AWS Kinesis Microservices Serverless computing is often used to build microservices architectures where an application is composed of multiple independent services that communicate with each other using APIs It is important for software engineers to understand how to design and build microservices using serverless computing and to be familiar with the various tools and techniques that can be used to manage and deploy these services Integration with Server Based Applications While serverless computing is well suited for building cloud native applications it can also be used to integrate with existing server based applications It is important for software engineers to understand how to integrate serverless functions with these types of applications and to be familiar with the various tools and techniques that can be used such as using a reverse proxy or an API gateway Hybrid Architectures It is possible to build hybrid architectures that combine serverless computing with traditional cloud computing or on premises infrastructure It is important for software engineers to understand how to design and build these types of architectures and to be familiar with the various tools and techniques that can be used to manage and deploy them Serverless Patterns There are various patterns and best practices that have been developed for building serverless applications It is important for software engineers to be familiar with these patterns and to understand how to apply them to different types of projects Some examples of common serverless patterns include the Fan Out pattern the Command Query Responsibility Segregation CQRS pattern and the Event Sourcing pattern Serverless Limitations While serverless computing has many benefits it is not a panacea and there are certain limitations that software engineers should be aware of It is important to understand when it is appropriate to use serverless computing and to be familiar with the various trade offs and limitations that come with it such as cold start latency and the potential for vendor lock in ConclusionSo there you have it a comparison of serverless and Kubernetes As we mentioned earlier the right choice will depend on your specific needs and goals Both serverless and Kubernetes have their own unique benefits and drawbacks and it s up to you to decide which one is the best fit for your project We hope this blog post has helped you understand the differences between serverless and Kubernetes and has given you a better idea of which one is right for you Remember there s no one size fits all solution when it comes to cloud computing and it s important to consider the pros and cons of each option before making a decision But hey don t stress too much about it After all we re just talking about cloud computing it s not like anyone s life is on the line here Just do your due diligence and choose the option that makes the most sense for your project Happy cloud computing Follow me on Twitter to keep the discussion going 2022-12-29 20:17:04
海外TECH DEV Community JavaScript Frameworks - Heading into 2023 https://dev.to/this-is-learning/javascript-frameworks-heading-into-2023-nln JavaScript Frameworks Heading into The wonderful thing about glimpsing into the future is that the path is never completely clear We can look at trends and look at innovations and try to chart a course Better still we can be part of those innovations to guide the direction But nothing is certain had a ton of big releases that push web development forward We saw the releases of both Astro and Sveltekit SolidStart and Qwik entered Beta React was released adding streaming support that found its way into Next and Remix as well as powering React Server Components and the Next app directory And I d be remiss to skip the impact TypeScript has had on how we design framework solutions From tRPC and Tanstack Router to the opinionated Next js meta framework create t app How We Got Here Focus on the Server they said Solve the tradeoffs of Single Page Apps they said This isn t new but what often isn t understood is how it isn t a panacea Server Side rendering allowed us to render pages sooner by fetching data sooner and usually closer to our data source but it wasn t without compromise It slowed down our response times and didn t help with the ever growing size of JavaScript bundle sizes It often actually increased our bundle sizes as now we need the code not only to client render but to hydrate the page Why Efficient Hydration in JavaScript Frameworks is so Challenging Ryan Carniato for This is Learning・Feb ・ min read There are some partial solutions We can cache more aggressively stream our HTML responses and we can invest in smaller faster frameworks There are some red herrings We can think progressive enhancement is a substitute for hydration or that moving away from client side caches meaningfully changes the math Spoiler It doesn t I m not convinced everyone is on the same page yet but many leading minds in the space actually agree on a particular thing This is not something to take lightly Where We Are AtSingle Page Apps aren t the most suitable architecture for everything I mean this shouldn t come as a surprise but after the past decade it takes some convincing And perhaps I need to elaborate a bit on what I mean by Single Page App I mean any of the typical JavaScript client routed and rendered architectures Even the ones that boast server rendering Everything from React Next and Remix to Vue and Nuxt through Sveltekit and SolidStart This is a natural evolution Create a solution that pairs great UX with great DX and people want to take it with them everywhere Even where it doesn t belong Where is that Well any place that cares about page load performance to make its bottom line any place that cares about low end devices and networks and arguably anywhere the complexity isn t justified If I could sum up the greatest alignment between framework thought leaders in it is that routing belongs on the server The Return of Server Side Routing Ryan Carniato for This is Learning・Jan ・ min read javascript webdev webperf programming We re not suggesting we do away with client side routing although that is an option Just that client routed and rendered architectures are pressed again the limits of where they can be effectively used Whether you are looking at Marko Astro or Fresh and their Islands of interactivity or Next and SolidStart s Server Components you see the server stepping up on routing duties Rendering the next page in response to navigation after the initial load Even Qwik which could legitimately start as an optimized partially loaded application and scale up to full blown SPA prefers server routing MPAs in all their examples and demos Reflecting on Conquering HydrationWith server rendering being the focus it is no surprise that hydration has been a topic of importance This is a cost that we pay for every server rendered application that is authored with a declarative JavaScript framework Or so we thought Conquering JavaScript Hydration Ryan Carniato for This is Learning・Mar ・ min read javascript webdev marko qwik Both Qwik and early Marko resumable demos showed that hydration is something that one day soon may be something in the past Hybrid Nesting RoutingBefore the end of we saw experimental technologies that seem to offer the best of both worlds We get client side navigation paired with after the fact server rendering Next app directory saw Server Components paired with Nested Routing I wrote about Solid s approach which blew bundle size expectations out of the water Client side Routing without the JavaScript Ryan Carniato for This is Learning・Nov ・ min read javascript solidjs webdev performance While not everyone is sold on Server Components it s hard to argue with delivering significantly less JavaScript than even the smallest SPA frameworks are capable of while maintaining that SPA UX Signals Everywhere Pawel Kozlowski pkozlowski os Signals are the new VDOM There is explosion of interest many people are trying things This will let us explore the space try different strategies understand and optimize things Not sure what we are going to settle on in the end but this collective exploration is great PM Sep Fine grained reactivity has made a comeback in The Vue community would correctly tell you that for them it never went out of style But only in the past year have we seen it make its way in a much wider scope and under the new banner of Signal From Solid s unique fine grained renderer to Preact and Qwik using it to augment their Virtual DOM solutions Marko s compiler shows how fine grained reactivity can be compiled in a Svelte esque way and even the Angular team is strongly looking into adding these primitives TypeScript Driven Development saw TypeScript go from being an option to the default to many meta framework CLIs Having type safe APIs across the client server boundary isn t even a consideration anymore tRPC was a game changer but over the year we saw this being considered in JavaScript meta frameworks From SolidStart s compiled type safe RPCs to improvements to Remix and Next s data loading mechanisms Tanstack Router showed us what type safe routing looks like and now there is no turning back We are still seeing these technologies propagate outwards but the gains are so significant people will not accept developing the way they did before when these technologies exist Forward to Wrangling in ComplexityThis will continue to be a theme coming into the new year You don t dump a bunch of innovation in a space in a short time and not expect something to give Astro and Remix s return to it is just PHP Rails for MPAs and SPAs respectively have been largely successful even if they both lack important benefits of more sophisticated solutions Having spent a lot of time in Qwik and Marko for MPAs and React and Solid s flavor of Server Components for hybrid routed solutions there is something that still needs to be learned here When a custom language server plugin is the only way to keep Server Components in check or you need to be an expert on where serialization boundaries happen in your code you need to start questioning things These technologies are the future But we need to remember we aren t the first ones to try this Backend technologies were tried in the mid s and instead we largely moved to SPAs We need to answer What s different this time And it might still come down to answering the question Do we believe that what could be shipped to the browser should be eventually or is the server a place we should uniquely leverage As the barrier between MPA and SPA melts away it s quite possible this division just takes a new form Edge The Unexplored FrontierEdge function support has rolled out to pretty much every meta framework over the past months At this point the vast majority of them can deploy to a variety of serverless and edge offerings However that hasn t changed how we develop We are quick to point out that data isn t on the edge And we should assume that not all data will be on the edge even as solutions solve for it The edge needs to move beyond monolithic deployments We need to figure out how to distribute compute to where it makes sense I am not talking about micro frontends or micro services But monolithic authoring with distributed deploys I m not sure what that looks like but I m sure we will find out in the next months Other TechnologiesWill finally be the year of Web Components About as likely as it will be the year of the Linux desktop Take that how you will Will be the year of WASM Probably not yet But quietly WASM has been finding itself applicable in more spaces than ever That includes DOM rendering The overhead we thought we understood was not what we thought and the fastest WASM Rust libraries have closed the gap with JavaScript on client side rendering Ryan Carniato ryancarniato Rust WASM frameworks have been making some good progress in the last few months on rendering performance Adopting Signals and Fine Grained reactive rendering They ve almost caught up to solid js vanilla Solid Svelte and React included as JS comparisons PM Oct Page load is still a prohibitive metric for many things but you can still do progressive enhancement with WASM So if it s good enough for Remix it might be good enough for you Will AI No Code take my job in No But it might help you migrate your code from one framework to another ConclusionNo one has a crystal ball but it doesn t take one to see we are at a time of change New frameworks have been emerging in the last year or so after about years of relative silence for good reason It isn t that we stopped making them but the time is right Even the big players are flirting with ecosystem resetting technologies like Server Components new Virtual DOM less compilers like Vue Vapor and new change mechanisms like Signals But there is no clear direction yet Existing approaches are at their limit Radical new approaches are incomplete and pass complexity on to the developer in whatever form they take Attempts to bury this in meta frameworks have only been somewhat successful Developer experience expectations have never been so high while the demand on user experience isn t lessening So whether you are waiting for the next revolution or living at the bleeding edge buckle up because you are in for a ride whether you signed up or not AppendixIf you are unclear on any of the terminology and technology I refer to in this article I recommend Patterns for Building JavaScript Websites in Ryan Carniato for This is Learning・Jun ・ min read javascript webdev patterns architecture 2022-12-29 20:09:40
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