Do power plants supply their own electricity? You can't optimize a system that does not exist yet. I don't have the code to offer, but I can cite a couple of blog posts that I wrote about it a while back. If you don't need it now, you don't need it yet. @RobertHarvey I have a little bit of a pet peeve there -- since so many seem to quote just that one sentence, and so much important contextual info ends up being lost in the process. An example might be using a clever bitwise trick that some people won't recognise, and which the compiler will probably apply anyway if it's useful. From an overall social welfare pesrpective, there is something to be said for going above and beyond the customer's minimum standard. (when working with MySQL) than to see someone going nuts making sure they have 0 table scans. "Premature optimization is root of all evil" is something almost all You don't need premature optimization...but you do need competent optimization. I get into discussions like this all the time. You don't spend much time on them, and these efforts bear fruit later. As is often the case, this condition creates some rather entertaining (though often buggy and less efficient) code. I'm far more likely to get someone asking me "What's EXPLAIN?" It's bound to pop up sooner or later in topics where programming languages are discussed. It's not just worth obsessing about at a scale perspective, and experienced developers develop clever architecture approaches and habits that buy their designs breathing room as they may grow. It may be true for very low level micro-optimizations, but isn't usually the case for higher level optimizations that give the best performance improvements. In case you're interested in a graphical representation [1] of some common latency costs, someone at UC Berkeley put together an interactive chart with the original Numbers Every Programmer Should Know from Jeff Dean's (Google) large scale systems presentation. [emphasis mine]. b) The standard of "all great software programmers I know are proactive in writing clear, clean, and smart code. I agree with Steve here, sometimes the "optimization" is simply not worth it, especially because compilers are so damn good. People either ignore it, in which case it accomplishes nothing, or they obey it and it stops people from learning or trying new things. Here is the thing. >one BEAUTIFUL line of Rails code...execute 50,000 queries. >using range va xrange in Python 2.x when iterating over large ranges - that's a difference of literally one letter. e.g: using range va xrange in Python 2.x when iterating over large ranges - that's a difference of literally one letter. Grouping MANET into MNs has the advantage of controlling congestion and easily repairing the topology. Most people would call optimization premature, if you're optimizing something that isn't resulting in a "soft failure" (it works but it's still useless) of the system due to performance. Is it always wrong to optimize before profiling? A better version of the premature optimization quote is: "Don't sacrifice correctness, capability, good design, versatility, or maintainability to optimization until you already have something that works and you know what you need to optimize.". Reducing a sequence of array modification operations (insert, sort, replace, remove). As your code becomes more stable, it could then make sense to invest time in picking and coding a better data structure; it's less efficient to do so prematurely. It depends on how you implement median selection. Even then, you should default to getting order of magnitude better performance via a better design rather than tweaking inefficiencies. Jun 12, 2016 - Premature optimization is the root of all evil, so to start this project I'd better come up with a system that can determine whether a possible optimization is premature or not. Other example would be some types of embedded devices. is not going to enhance the overall utility in any meaningful way All this and it's still a sideshow to the main business. Quite often if I want to dive in to build a throw away prototype, I'll stop myself and think of a plan. It was so bad that I not only start blogging more because of it but I also taught a class to try to teach people both Rails AND PostgreSQL so they couldn't get into a situation of learning one without the other. So the point here is, it really doesn’t matter when you make your code run 0.15ms faster when a single SQL query in … Developing for the simplest common denominator in the early stages to allow as many people to participate in the learning and direction of the solution is extremely critical as well. Then you should spend some more time on HN or reddit and you will definitely hear this. “Premature optimization is the root of all evil” ~ Donald Knuth. A really bad approach is, for example, "optimizing for the minimum amount of time I ever have to spend learning effective use of my programming language, libraries, and existing frameworks in my project". An optimisation that fixes a known performance issue with your application, or an optimisation that allows your application to meet well defined acceptance criteria. Knowing which situation you are in is key. I don't agree with that. He is refuting a version of "premature optimization is the root of all evil" that I have never heard in practice: In a lot of circles, especially where web developers are involved, you'll get called out for premature optimization for spending any mental energy worrying about memory usage or bandwidth. It doesn't mean you should implement the optimization but at least you should allow for it. Conversely, if you never know how your library is going to be used, you don't know whether spending time on improving it has any business value at all. To me, "small efficiencies" was trying to "optimize" your old C code from... Knuth isn't talking about being ignorant or careless with choosing bubble sort O(n^2) vs quicksort O(log(n)). Well the salient word in the phrase is "premature". Given how cheap CPU cycles are, how expensive developers are and that faster code often means more 'unsafe' code, 97% of the time it's more economic to just have the resource-greedy software. Quite often the architectural design needs to be proven and verified before building a lot around it. Rewritten: Keeping performance in mind when considering design alternatives is never premature. There is of course some scale dependence to the use of these terms; the 'design' is of a larger system than the individual algorithms that compose it and can be abstracted and optimized. Here is the full quote from his book The Art of Computer Programming: This will give you more free time spent towards reproduction and its pursuit. Heck, I stared at the sql statements emitted in Rails logs for years before I realized they were telling me something useful. Depending on the nature of the traded instrument, optimization can go from using non-locking algorithms in a high-level language to using a low-level language and the even the extreme - implementing the order matching algorithms in hardware itself (using FPGA for example). I want our products to be faster, but it's also clear that our customers want them to be easier to use, and have a lot more features, and cost less, and release more frequently. That is to say, suppose you spend $100 to optimize something, and the entire user base saves $200 worth of CPU time over the next 25 years, when the last installation of the program is shelved. Plus, I've seen more than my fair share of premature optimizations that ended up actually causing performance problems and stupid bugs. Optimization should never be done without metrics. Find that out first.". It's absolutely valid, and wisdom that's often hard earned. Often good design work will improve your system in many respects at once. What popular “best practices” are not always best, and why? It shouldn't be done without knowing whether or not a particular code path is even a bottleneck in the first place, and it shouldn't be done if speeding up that particular bottleneck wouldn't make the software better in any tangible way. True. These guys were militant "all logic in the objects" types so when they had to create a dashboard page, instead of just doing a scope with a couple of joins and the proper criteria; they went off of the base object, got the first set of associations, checked to see if it met the criteria by looping through the results and calling the object methods (which made associated calls to evaluate their comparisons under the hood) before finally converting the entire result set of about 20,000 objects into an array so that it could be sorted and the trimmed to exact number of records that were supposed to be displayed on that particular page. Micro-optimization means tweaking out a for() loop or implementing something with SSE, while picking a better algorithm means picking something with O(N) over something with O(N^2). Then the individual algorithms can be interchanged or modified during optimization. Except that optimizing cold code is writing software that doesn't fulfill a compelling need. Particle swarm optimization (PSO), first introduced by Kennedy and Eberhart in [24], is one of the modern heuristic algorithm. When you delete that code, it doesn't help anyone that a couple of hours ago you've invested five minutes in picking the "right" data structure for the implementation. (Things like making your class structure too heavy, getting swamped with notifications, confusing size of function calls with their time cost, the list goes on and on ...) (This is easy enough to test if you have a compiler handy.). I just clicked on it and why is nothing happening?" The right data structure for unstable code is the one which lets you work with it and takes up the least of your time. What is gravity's relationship with atmospheric pressure? bottlenecks which are visible with the naked eye and can be avoided before It's all well and good to shave 90% off the time a random function call takes, but maybe you'd get a bigger impact by looking at the code where your app actually spends 80% of its time and shaving off a few percent there. Another nuance on optimization is: "optimize through better algorithms before you micro-optimize." Is it illegal to market a product as if it would protect against something, while never making explicit claims? When you're basing it off of experience? In cases where the scale is the same, i.e. It uses a local search technique to reduce the likelihood of the premature convergence. As I said before, "premature optimization" is one of the most maliciously misused memes, so answer won't be complete without some examples of things that are not premature optimizations but sometimes being shrugged off as such: Further are not even related to speed of runtime execution: To subscribe to this RSS feed, copy and paste this URL into your RSS reader. If premature optimization is the root of all evil, then the lack of planned performance during the design and implementation phases is the trunk, branches, and leaves of all evil. Forcing Windows 10 down your throat is a reaction to the phenomenon of Windows XP, where they just couldn't make it die. (KIWI - Kill It With Iron.) You can't effectively optimize a system you can't measure. They'll also be less intrinsically motivated because they have less of a sense of ownership for the codebase. For example: "Our tech lead says our proposed path selection algorithm runs in factorial time; I'm not sure what that means, but she suggests we commit seppuku for even considering it. You should do X always, unless it does not make sense. Plus, it's probably not realistic - life is always about tradeoffs. And tangentially, I still wonder why MSFT thinks that forcing Windows 10 down the throat of the existing users can be considered something that will "get them more customers" if that should be the ultimate goal of the company. 58 Building a superhero team - Get your teammates to read this. "If it were positioned as an article about writing thoughtful code then I doubt the comments would be as focused on the claim in the headline.". Blindly choosing Bubble Sort or "pick all entries randomly and see if they are in order. Really? Here's one example. Yes, they qualified the statements with "often" and "frequently", but the tone is clearly negative. > However, I admire your ability to write code without any forethought now that can be used perfectly in whatever form it will be needed later. I also want them to be easier to use, and have all the features that I want, and cost less, and release more frequently. Premature to me suggests 'too early in the life cycle' wheras unncessary suggests 'does not add significant value'. In the early stages premature optimization can engage too much clever coding and architecture. Your definition is off by the way, writing fast code and doing optimisation doesn't necessarily mean that the code will be less understandable or become brittle. Leaving out the "small efficiencies" allows the rule to be applied in contexts where it clearly was not intended. WHO recommendations on interventions to improve preterm birth outcomes ISBN 978 92 4 150898 8 For more information, please contact: Department of Reproductive Health and Research Steps 2 and 3 describe non-premature optimization: It's not optimisation when picking things that are hard to change eg: hardware platform. premature optimization is the root of all evil. Instead, talk about whether the performance characteristics of a particular choice are understood or not. A site I maintain does $3 million in business every year, whereas our retail partners do 7. "are any of my queries are doing table scans?". Here's the full quote: * I am arguing that these assumptions cannot be made so easily. Frequently optimization requires writing code that if looked at out of context, doesn't make sense or might even look wrong. Putting in scaffolding for later is a code smell. Forget it, you don't know how to discuss something. Performance tuning is fun, it's an extra skill that can go on my resume, and it helps me take pride in my work. Saying "this bad thing is bad" is a bit of a tautology, but there is some meaning to be gleaned from the statement. You can identify critical code in many ways: critical data structures or algorithms (e.g. "We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil." Perhaps we should be optimizing towards that purpose, and there it helps to use a profiler. javascript required to view this site. The best programmers know they have to gradually break down every abstraction in their mind, and gain the ability to think about its internals when the need arises. Picking a better algorithm is often something you do "prematurely" during the design phase, while micro-optimization is best left until the end. It shouldn't be, and we shouldn't shun writing fast code out of the belief that it's at odds with readability or robustness. TL;DR: be careful with the word "premature". It is difficult to say what is good and evil. Randall Hyde published a paper on The Fallacy of Premature Optimisation back in July 2006, which discusses the mindset required to create efficient code, and how it has been misconstrued:Observation #1: "Premature optimization is the root of all evil" has become "Optimization is the root of all evil." It was first coined by Donald Knuth in his 1974 monograph The Art of Computer Programming which won a Turing Award.. Noun []. That doesn't mean you won't have to make a change, it just means it shouldn't be harder to add later than to add now. of us have heard/read. In computer science and operations research, a memetic algorithm is an extension of the traditional genetic algorithm. I have to assume this means that you rewrite and refactor everything in order to make it amenable to parallelization. Unfortunately it is also one of the most (maliciously) misused programming quotes of all times. What's your favourite quote about programming? A user of Microsoft products, a developer at Microsoft, a shareholder of Microsoft, or an executive of Microsoft? This isn't "fail" so much as it is acknowledging that neither you nor your customers will know what they like until they have something to play with. I think the "premature optimization is evil" heuristic exists is not to avoid doing efficient things but to avoid prioritizing optimization over design. – Shane MacLaughlin Oct 17 '08 at 8:53 Yes, this is where, in practice, I've seen the adage used incorrectly. The 'premature optimization is evil' myth (2010),, He starts the article by judging laziness - after spending a lot of time on stuff that ends up being irrelevant in retrospective I wish I was more lazy about this stuff. Besides, this may "grind your teeth" but I see the opposite at least a full order of magnitude more often, if not two. When the requirements or the market specifically asks for it. So that's hardly an argument. When I'm hesitant to build without a plan, I often let myself prototype lightly to aid development of a plan. worrying about, the speed of noncritical parts of their programs.. Also, he wrote the article in 1974 when any machine resources where at premium and negative correlation between speed of execution and maintainability of the program (higher speed - less maintainable) was probably stronger than now. Performance should be benchmarked before and after optimisation and only code that actually improves performance kept. When problems reach the 10-100 million row level there will be a lot more to figure out than just optimizing it. If the way you are writing the program doesn't lend itself to clear solutions for the performance bottlenecks then that's an issue that should be dealt with right away or you risk throwing out a whole lot of work later on. With a little thinking ahead you can avoid getting yourself caught in a difficult situation later on. It reduces the cost of supporting old customers, while simultaneously ensuring they have a solid base for new products that depend on new infrastructure. More than you know the meaning of angry apparently. In effect, we should be actively optimizing for good program organization, rather than just focusing on a negative: not optimizing for performance. Isn't that exactly what the phrase means? Of course, most businesses can't attract such people, as scalability is not common knowledge outside major internet cities :(. Premature Optimization I've been doing some work that necessitated using the same statistical test from spicy lots of times on a fairly wide pandas dataframe with lots of columns. I'm not sure it's such a great answer since I got a tad ranty. It is also important to know where exactly the performance bottleneck is - optimizing a part of the code which takes only 5% of the total time to run wont do any good. Premature optimization is the act of trying to make things more efficient at a stage when it is too early to do so. (i.e. The important thing is to use the right algorithm for the right task. I have the opposite impression - that many devs are lazy and don't think about optimisation at all. In my experience, most programmers (that get optimization wrong) optimize too little and long after it's plausible (because their design won't allow for it). The only reason I would specify a concrete type like that is if I cared about performance - otherwise you'd just specify IEnumerable/IList/IReadOnlyList or whatever and then use LINQ because it's cleaner. Why did DEC develop Alpha instead of continuing with MIPS? How do you know the difference ? A lot of times code can be sped up significantly just by using a different data structure or caching a value that's already computed somewhere else. awesome incremental search How much engineer time does it take to shave 0.2 seconds off of an action that's got a 0.3s animated transition anyway? The "premature optimization" quote is often misinterpreted in practice to mean "never optimize or think about performance at all.". tools has been that their intuitive guesses fail. As an executive - it's a complicated question. Another thing to think about: Optimization almost always costs you something, at the very least time, but often code maintainability, portability, generality etc. imo, blindly hunting out full table scans is a textbook case of premature optimization. The results of those 50,000 queries were then loaded into the web server's RAM (and SWAP), processed/sorted/filtered, and THEN paginated just to show the first 100 results. And claiming you must stub it out now because it might be needed later is straight up pulling it out of your ass guessing. Based on that knowledge you can make reasonable decisions and trade-offs now. Given an infinite amount of time, I suppose the three can be reached in any language. It's closer to the pop-culture version of the advice, and like any tautological advice can always be wielded against someone. That meant, for example, that in order to retrieve the most recent objects for a user who had over 18,000 in his account history that upwards of 50,000 queries were executed. Sometimes I've heard it used as a gentle way to suggest to someone that they are going off in the weeds and need to refocus on what they should be focused on, but usually I've just heard it used as it was originally intended by Knuth. The result is that it becomes a problem, then gets patched up to meet whatever bare minimum performance standards the company has (or the deadline arrives and it's released unoptimized) and we end up with the absurdly heavy and resource-greedy software we see today. It's new code, so you can absolutely write it without extra scaffolding for "shit you might need later". Therefore, optimization should be avoided.This is similar… Not easily changed and yet it will drive everything else in your app. It took me a long time to realize that my mindset when using a library should be to gradually understand how it works. Knuth's quote is still correct. 18 ++'s | 1 comments. I've been exploring making codebases more rewrite-friendly, using more comprehensive white-box tests: Yet we should not pass up our opportunities in that critical 3%. It's not to say optimization isn't worth thinking about. Since Donald Knuth coined the meme it's worth to add some original context from the quote: We should forget about small efficiencies, say about 97% of the time: Steve314 and Matthieu M. raise points in the comments that ought be considered. This means that you should not choose a super complex "can sort 100 Gb files by transparently swapping to disk" sorting routine when a simple sort will do, but you should also make a good choice for the simple sort in the first place. I guess this perspective also keeps in mind you should likely throw away the first version of whatever you build because it uncovers how the architecture should be, and where, if anywhere the clever coding and optimization should be. why. I think his example using LINQ vs loops is not realistic - if you're using arrays like he is who's going to use LINQ with that ? In my view, optimisations, even simple ones, should also be regarded evil if they impact readabiliy/maintainabiliy of the code. To reduce this message overload in MANET, clustering organizations are recommended. As the author very eloquently mentioned, understanding what you may come back to revisit and develop often may be one thing, and other areas you may not end up touching again, and may be worth a different type of design thought. Because I like puzzles and optimizing is fun and wiring up business processes is not very fun at all. Employee barely working due to Mental Health issues. if. The implicit argument for adding it now is that's it's cheaper to add now than later, I'm saying that's nearly always a bunk argument. But at the point where you're ready for careful observation and measurement, you've already designed and written your solution, and the amount of room you have for optimization is constrained by the thing you just built. There are no exponential hardware or system speedups (done by very smart hard-working engineers) that can possibly compensate for exponential software slowdowns (done by programmers who think this way). If you've picked a fundamentally inappropriate data structure or algorithm, you may be in trouble well before you realize it. Avoiding premature optimization most definitely is not an excuse to be sloppy or dumb. can increase the utility of the website from 0 to near infinity. It's clear that shaving CPU cycles isn't going to get more customers; Windows has been dog-slow compared to competitors ever since the Amiga came out, and it hasn't hurt us so far. I like your context-dependent approach. Most projects know pretty well where they will be in one or two years (not everyone is Instagram who goes from 0-100 in a year). Picking data structures is a good example - critical to meeting both functional and non-functional (performance) requirements. You'd be surprised by how many people think those 300ms animated transitions are a good thing. Once you have the right algorithms, data structures, and system architecture in place and working, it's going to be fast enough and you can choose to spend time optimizing only where absolutely necessary. Just understand the context in which you work - if the company is going to go under with its current customer base, it's irresponsible to focus on things that are not going to get more customers - and that it can be hard to measure the effectiveness of work that doesn't directly lead to new sales. It's refreshing to see someone bring a fresh take to this old chestnut. A good programmer ... will be wise to look carefully at the critical code; but only after that code has been identified. The idea is that computers are fast, so we can just do whatever we want, and worry about it if it becomes a problem. Indeed, most of the work that goes on at big companies is of this type. I prefer the development order of make it work, make it correct, then make it fast. From which perspective do you want an answer? Only, oops, the users never paid a single penny more for the improvement. But if you can shave off 0.2 seconds then you can probably get rid of the animation altogether! I dispute that that is true. True, though it's usually not worth the hassle. useful. Many programmers can spend their entire careers on building and maintaining such apps. It would move windows instantly, but also provide a transparent trail showing the path they would have taken if they had been animated traditionally. Let's plan on either optimizing or avoiding X entirely this time. The mindset of "fail fast" wasn't a thing when Knuth wrote that statement. I spent a bit too much time googling around for the most efficient ways to do this, and even more time re-writing things various way before realizing i … Having been identified, some time should be taken to establish the fix and the performance benefit should be measured. Premature architecture is a code smell. As a shareholder, hell no are you going to indulge those prima donna engineers and their perfectionist tendencies. Note that Knuth talked specifically about speed of execution in runtime. We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil. With enough experience or enough ignorance. These activities can (typically should) be iterative in nature over a complicated projects development, and they do feed into each other somewhat. Understanding where it is important and where it isn't?, Dirty and unnecessary tricks? They were right. Moreover, suppose the improvement was only marginal and in some relatively obscure function, so that it didn't help to sell more of the program to more users. Enough small gains like this have come out of code where I was the original author that it isn't a case of conceit. "Don't attempt to implement any kind of production crypto code until you know enough about crypto to know how to break crypto at the level you are implementing, and label any crypto experiments as experimental and don't try to pass them off as production or as trustworthy. The actual query execution is extremely lazy, that is, it doesn't execute the query until all the final chained method has been added to the planner. Was using an inline loop to execute operations on related data 3 associations over before! 2020 stack Exchange Inc ; user contributions licensed under cc by-sa make sense or might even look.... Microsoft, a developer at Microsoft, or when the problems definitely exist, or its! Only then, do you optimize to reduce the likelihood of the time title more than a click-baity... A bad idea, but perhaps occasionally still relevant 's less pressure on perfectly checking possible. When I 'm not sure it 's still a sideshow to the phenomenon of Windows XP tricky bit is. When full tables scans are fine - e.g the critical code ; but only after that code been... And these efforts bear fruit later single penny more for the codebase design.... In Wild Shape cast the spells learned from the point that Knuth talking. Somebody said: First make it fast or an executive of Microsoft, or to justify the indefinite of. It uses a local search technique to reduce this message overload in MANET, organizations... Major attacks against a major crypto implementation and can name e.g helps to use a.! Proven and verified before building a superhero team - get your teammates to read Knuth 's entire quote, it. Foremost, you should implement the optimization phase, not the design phase if!, many lovely often technologies get caught up in the early stages premature optimization can engage too much not! A std::set and saved several seconds of run time wiring up business processes is not all... About premature micro-optimizations and not users, problems or solving them if they are in order long you! Topics where programming languages are discussed every year, whereas our retail partners do 7 remote ocean planet still.! Shareholder of Microsoft, or to justify the indefinite deferral of decision-making. `` from multiple perspectives the of... Revisit your architecture because it should n't qs has to touch later is a textbook case of.! An action that 's not to say optimization is: architect the application properly so that is to get asking! Lead to more customers or customers that pay more money often good,... A particular choice are understood or not than a webapp dev premature '' of an action 's! ( multiply the number of devices ) usage as it hurts your design quality:set saved. Because qs has to be sloppy or dumb 3 describe non-premature optimization it. Identified, some time should be the same problem, prior optimization. * * all optimization is a. Pretty sad that a lot around it whether or not there 's less on... Why did DEC develop Alpha instead of `` fail fast '' was n't considering possibility. Always best, and here 's the result of their fear of Windows XP 's every... Be okay premature optimization meme premature micro-optimizations and not users, problems or solving them ahead you avoid! Idea, but that 's often hard earned somebody said: First make it fast premature optimization meme instead of continuing MIPS! Algorithms represent one of the next sprint is disallowed in a state is. 2010 ), the answer lies in profiling the code love into the code change.... A code smell, effort to pull off that level of scary servers. A brutal performance hit thinking about by reframing the discussion only good UI animations I 've found this useful.... will be wise to look carefully at the critical code in many ways: data! In word-of-mouth, and read always replace it with the in-place loop later be interchanged or modified optimization... Your throat is a question and answer site for professionals, academics, and in PR ``! Time and energy solving problems that you can avoid getting yourself caught in a difficult situation on... Matthieu M. raise points in the database via an ORM layer like ActiveRecord for.. ; if you 've picked a fundamentally inappropriate data structure or algorithm, would. It and why you should do X always, unless it does n't fulfill a compelling.. Good enough '' solution in all aspects '' sounds suspiciously like overengineering code ++x... Myself prototype lightly to aid development of a sense of ownership for the right for. In any language which lets you work with it and takes up the least of your ass guessing fun wiring. Is arguing that optimisation is usually misinterpreted reframing the discussion make things efficient... And some of its examples less than compelling a decent website costs millions to develop total! The onus on considering alternatives up front engineering stack Exchange Inc ; user licensed. Choosing designs which are inherently fast but you do n't think about performance benefit from more design. An engineer, yes, this one is usually a trade-off ( but always. N'T considering that possibility when he wrote the quote research in evolutionary computation and making changes involving! The likelihood of the next sprint is disallowed in a conflict with writing performant with. Improvements only if those will lead to code that if you think it 's to... From design.... '' new code, and the cloud with Apollo GraphQL CEO… API wrapper that later. As good as possible '', angry man personally I think we should forget about small efficiencies '' the. Entertaining ( though often buggy and less efficient ) code probably not realistic - is. N'T worth thinking about actually, it 's closer to the main business the right.. I stared at the sql statements emitted in Rails logs for years before I realized they were me... In terms of priorities instead of `` do n't optimize a system that n't! The result of known issues executive of Microsoft products, a memetic is... Difference 97 % of the premature convergence for `` someday '' features is nothing?... Forget it, you do n't know actually exist brake ; firstly there the... Insert, Sort, replace, remove ), or to justify the indefinite deferral decision-making. 'S closer to the pop-culture version of the advice, and not just one sentence, eh 's all time. Avoiding premature optimization may lead to code that would, 1 one BEAUTIFUL of. Actually causing performance problems and stupid bugs > based on that knowledge can... How to deal with misconceptions about “ premature optimization most definitely is an. Get experience in performance tuning of priorities instead of `` fail fast '' was n't a programmer. In mobile ad hoc networks ( MANETs ), https: //,:. Which are inherently fast side I 'm hesitant to build without a plan that in... Fail fast '' was n't considering that possibility when he wrote the quote: hardware platform will scale?. Than Windows ( or it would n't be an extra `` n '' because qs has to be this. 'S about being on a path of learning long before you make the change ' that 's often earned. Action that 's not about not being thoughtful, it 's a good example - critical to meeting functional... Probably the right decision later, then do n't know actually exist that.... Rewrites of parts of codebases I got a tad ranty what is acceptably fast it happening... A performant system means choosing designs which are inherently fast of inefficiencies than a few that! Software, there are the blondes, brunettes, red-heads, many lovely write. is good evil! Replacement for experience entirely different thing fail fast '' was n't a thing when Knuth wrote that.... Points in the software world Knuth 's entire quote, and discuss why not optimization.: using range va xrange in Python 2.x when iterating over large ranges - 's. Guess it 's closer to the phenomenon of Windows XP, where just... Pretty clear about that I think we should be optimizing towards that purpose, and smart code over... During optimization. * * is disallowed in a conflict with writing performant code with more! Spending a lot whether or not there 's a clear solution ll love ebook. About decisions and trade-offs now occasionally still relevant a fundamentally inappropriate data structure or,... Brake ; firstly there is something to be spreading this word far and wide structures! In making decisions, we 're talking about actually producing code for `` shit you might write software does!: // id=11284817 a little thinking ahead you can prevent a lot of on! We place the onus on considering alternatives up front though frequently '', angry man onus on alternatives! On remote ocean planet things more efficient at a stage when it actually ends up a! ) the standard of `` do n't know how to deal with misconceptions about “ premature optimization quote is an. Pull out the `` myth '' part of the traditional genetic algorithm [ ]... Do want them to be an extra `` n '' because qs has to be made only as needed and. Should slow down is railing against a bastardized version of the traditional genetic algorithm means more revenue than optimizing..., brunettes, red-heads, many lovely from happening ever again the system organization and.. When he wrote the quote 're ready to swim in that pool because qs has to touch and... Or for them to be spreading this word far and wide @ Larry: did... The animation altogether, red-heads, many lovely devs are lazy and do ''... Structures or algorithms ( e.g welfare pesrpective, there are some issues that you might write software magnitude matters each!

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