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Using the right Async tool, present day

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hello everyone super cool to see is a Gavin all depositors guys sorry I use that a lot of that today I'll be talking about the different things yeah I will talk about basing and spacing does not mean facing KO Python is their reach language with laws of nice frameworks and tools will be looking shortly and more many of those was the little life college is a little demo was a little bit of theory as well just to have an overview what is there what's available for us right now what tools can we use under what circumstances and so on so the way we're going to do today but we all like come from different backgrounds some of us already had experience was acing tools and general a matter of development and by from some don't so you can interrupt me and ask questions right during the talk as everyone's that everyone may keeps track of the so well i so please do not wait until the end rise hand or just asked the question how repeated I'll do my best to keep everyone like in in a good mood and understanding what's happening here let's go alright so the 1st thing I have to say is I know it was a difficult choice to come to this room having 7 tracks in Europe Python and also like having this I know what you've been thinking about and it's these bursts of this and Bernie code station was my code is of course a tough decisions so thank you for taking that that will the rest so as I said I have about a like examples in my talk include included and we can also have discussions right during the talk and to be a need to is so I hope copy helps as well who am I I'm very shortly who knows this logo my T-shirt yes it's spike lab so I I didn't do any or some framework in Python yet unfortunately I hope so I will do it in the future but for now the only thing I can say about myself but no frameworks alright alright the things that it so for now I can say that I am the 1 who is co-organizing by can work so that's probably the best description of myself and I'm a freelancer yes and the plan about today so this 1st will just have a bit of the furor recap like what is this thing computing general what we have in Python available uh what tools we have found that we can use already now will go then into twisted tomato and facing k are a bit more details will look concluded examples how it works and we'll have you and a and whole will have some time to just briefly discuss gender channels because it's trying to topic and it's also kind of asynch so I hope with we have time for that too alright so what's the sink a quick recap what is it in general this work so what we see on this picture is it just never would have them you can see my laser pointer yes great alright so we have a task that is processed synchronously at 1st we have the requests come in here would have processing until here then the results coming out then the request number 2 all comes in between and then process and its and response and then request number 3 coming process response that's like classic model that they show us in school but the thing is that it actionable words this way of because 1 request will never wait for Azeris quest to be completed in the reality will have 1 request and then right away and other and then right with the 3rd 1 and so on and so forth so will our requests never wait for a response that will just come and told that will we can handle them somehow so you see that the request number 1 comes of all my answer those of program processing it and then request number 2 counts but we don't have resources for that to adjust weights that request number 3 counts and it also has to wait because we don't have resources for that and then when the request 1 is down only then we can go on the request number 2 and only then we can go to the request number 3 that the reality now what we can also notice in this picture is that the request number 1 it also has some spots here which I marked waiting this mean that 1 processing some requested doesn't really mean that's really heavily computing something all the time most of the times especially in web development we're waiting for something else like the database all for our file I you know maybe some slow NFS share or whatever so we're not really computing something ever all the time we often waiting for another resources and the problem in this approach is that even though we're just waiting since we have just 1 main thread and we're dealing with 1 thread was 1 request other requests have to wait and that could be optimized and this is where a synchronous computing comes in so the idea is that instead of waiting we can just do other work so we can work on other requests to and this is what's shown on this chart he sees the request 1 comes in it's processed then let's say that at this point we're request number 2 and then request number 1 is actually waiting for the database so a smart software says OK we can wait here for some response meanwhile will do another thing and another thing is request number 2 and was start processing is good the next so if we map this very very simple charts that I showed you on the web servers and the Web developments and in general this is how it looks so obviously 1 request is 1 client all 1 client requests in a browser that serum some PPI so let's say we start our overview was web server and this is a very simple idea how can we can handle many requests concurrently is that we just in a new threat revenue request would like is totally makes sense it is still a blocking across but so we can scale because the more requests that have the most residues stock and handle each new request in a new 1 mean in user 1 is requesting some web page handling it here the user number 2 would joints we handle here so every next user starts another threaten our back ends the problem is obviously doesn't scale very well and we use the party may be old school OK good so I used the patch it to this is a patch in my opinion that under many threats when you have too much a so that it doesn't scale that's a problem and the biggest problem that is that when a applied this not only your new client will will just get nothing but also the client that are already like in progress those who are almost done if a partial pressures that's if nobody gets anything that's a problem with her that's her so there was a smart media why don't we have a pool like we can say our it's thread service capable and not 60 in France that say it doesn't efficient so we have a textbook 16 threats whenever there is more you just have to wait but we at least know that this 16
hour covered without any problems now that's a good idea and so we have in this example is to stress in the pool that 1 that is doing something threat to the request number 1 and the request number 2 which is just waiting that works there so threats of thread thread of pool works and until obviously when we just reach a point where there are not enough threads in the pool to handle a lot bigger thing is that they just have to wait the clients I mean it will not crash as hot as normal for the server but here you can do more with your server and now comes the synchronous from the same series that element is shown to you that I would have just 1 thread and the you this rats to like switch between different tasks in different points of time so whenever we have free slots free resources we are taking another task when there is 1 the response so when some outside the network socket has data of our previous request this switching back to it and don't worry I mean it's a very very brief overview I will get into details that will get more clear later on so the main thing that so I have to point out right now is that in this scenario we have just 1 threat and we hope that this 1 thread will like jungle with as many task as it can switch on some smart scénario that whenever there is some blocking operation the threat is doing another task that's that's the whole idea I didn't find a better give so this is a rather of this is a central server in my vision that and of course it was just blah blah so let's have a real charts here you have a patchy light began and next up to be afraid of surrender names being a synchronous observed and this requests per 2nd shot so you see here that hello and genetics gets as high as as possible from this comparison it can handle around 12 thousand requests per 2nd obviously depends a lot on your concrete the server and the hardware and so on Our but that's the approximate feature that you can see in practice and then there is another good shot is a memory usage as I already said travel expenses so whenever eparchy she starts a new thread it costs you those of most of the more clients who have more threads you run the more memory is being used in contrasts and an extent like this should be the are quite sparing with your operating system resources good so now as gets more into practice so basing Python is not they think of the wind tools around for years but say that it's tornado is 8 years old and then there's twisted which is all but that's that's quite a while and say and then there are also other languages there and so you haven't seen it's not something you so the question is why I will a still popular like you can say why isn't a popular it's not the same it's so cool I'm using just because it's easy I think everyone would agree that sequential code is just much easier to write use you don't want to have a but how like you have and usually not just you're right my than GenGO and if you don't have like a very specific tasks the gender cannot handle you had was so why I'm doing this talk is I'm going to show you that there are different tools in Python that allow you to write a synchronous but it's easiest signals most at least comparably using yes and so the goal is to make it as easy as general rule generates then I'd say that we can seriously consider using a synchronous tools of Python on a daily basis so it as I said we prefer anything that covers needs in the simplest way possible so good news is that we have many choices in Python already at this point and we can try different things which we're going to do today and we'll see uh what is the suitable for us let's start with twisted twisted is like a python dinosaurs who use twisted in this room local many people this year after so this is a framework is huge it includes a powerful high-level components like server user authentication systems as well as my oh and always the instant messaging SSH client DNS clients and servers anything so basically any network task you have most likely will have it already sold this twisted also it's in the USA are in anything really so if you are looking for let's say something the implementation of some network protocol with Python then twisted is your best bet most likely down interest so but as they say twisted doesn't call you don't call twisted listed calls you that's like most of the stuff that's actually apply solely frameworks in Python but they've been 1st so that you describe to them of the basic twisted to the event loop as always think also obviously still twisted is built around the reactor pattern if some given cope responsible for handling network and system events it basically says that when the event state happens reactor is function a cold that the and 1 started the reactor loops over and over doing this kind of task falsify for ideal and just triggers appropriate callbacks of depending on what events we have the looks over and over and then let's have an example finally so as I said was that there's a really low level framework as our 1st example of just try to bring something on the networks of it so as as low as possible and here we go so the I have the solution right here I will show you how I will run it later on 1st let's go through just enough to to show you what it is doing so you feel like a comfortable with us so what we have here it's a really really simplistic minimal case how do you right into socket interest so 1st you have to factor is of course you have piratical factor here 1st and the set factor here we defined this 2 classes the and that's actually what is what you have always interested you have a factory for everything and you have a cold but for everything that makes a kind of complicated but so if you're really willing to implement some difficult protocol nice and clean that's a good way to do it because you cannot miss something accidently so of course the main part here is a greeting protocol there are no inherit from protocol critical and we define our 1st and only call back connection made In then whenever there is a network connection on the socket we do sell transfer rights shall your Python and that's it and 2 equals a connection the the only thing we do here and let's see if I like to you or not by this terminal OK you don't seem terminal I will bring it to and
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the OK I'll just near the displacement will be faster in this case OK can you
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but sock linguists and and then OK so I have all the examples here I Ch I started so the example to sublime despite the same that you just seen in the slides and to check its I cannot do it was a browser because it's a Telnet something
that is certain to just throw sockets of this machine so use Telnet blessed what the but so we have here show your Python I didn't see that so I got it and it has
somehow can I change the resolution or will crashed OK the or anyone knows the
shortcut for I turned to the mean and all commands that circuit yes thank you yes think you great and so then the game the demo
this chou Europe Python printed here that worked good them and jumping back to the
presentation the no yes
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not perfectly optimized I'm sorry but this will do our best no OK we're back yeah and then of course just a socket connection is kind of boring we are web developers most of us I think in this room so let's see some web rhetoric Web related case analysts have a twisted
Abbott's returns for your Python as gets requests at hand so what we have to do here is we inherit from the resource and this is a class of interest that implements the idea of a more like they should you be stuff then we defined the and the gets methods it's here run the debt and is as easy as return Chow your Python and by from 3 and God UTF-8 and I think I will not do this smearing again so you can just trust me that it works if we have time at the end so I will show you how this examples in the shell otherwise it gets really bored next twisted the
school so I'm not going to show you much more twisted because the goal is just to show you an idea if you implemented some protocol you are inheriting from the protocol plus the need to define factor is a factor the factories and eventually to work but that they want to say that this is an excellent choice for the vast number of cases and especially the need to integrate some multiple aspects of functionality for some our network protocol spatially complicated 1 so 1st of all to is that is a concurrence of framework it tells you to juggle multiple tasks in 1 application without you the threats that was a goal synchronous development and the court this tends to be a bit complicated as it's it's actually not complicated is a complex so you will have a lot of colds but the good thing is that you can reuse components of twisted and they have components for pretty much anything you like so it's easier to hacking into existing protocol and customize it to your needs it's also perfectly tested so like if you was right now uh extend the people to or something I say with this but then there are other tools that make it seem development in Python even easier uh just the bits of words so about the sink evolution in Python since Python 2 that's 5 we have the use the word and it was used just for generators and then after some time there was a tornado framework is used it for a synchronous development of web applications out you examples later than in Python through this we we've goods that generation delegate generated delegation expression yield from which is a very similar concepts but this just a bit better cultural and then finally at it's 3 . 5 we have a weight which it like a 90 9 cases for you will be told to was the same as you from what is this makes more sense of the word so it's easier to understand what is actually doing and this little this little things they matter so they help you to write to write a synchronous called in a similar way that you write a synchronous code now was gets 2 more examples uh you do not have any excuse not to use a synchronous called in Python since 2 . 5 because that's the point when we don't use and generators but I would recommend to use Python 3 spatial through the 5 because it makes things even better hence again you don't need to write caldbecks every time like you do it and twist and to like callbacks that who is also just a developer or just some jealousy OK so I don't have to tell you that it's difficult to write myself and I have a little favorite example the travel with me on different conferences here it is so yeah this is a the real codes from 1 go js it's the best thing is I can see here but I feel like I know it's it's not something that you need to write every day but if you even have derived this for your test those there's something wrong all and their commands you the Kullback held it's gone if you're not convinced that have more cool examples so as just agree sequential called looks nice yeah and we will try to avoid callbacks from this point the hissing fail the buzzword but I think I don't have to stop for a long time over this 1 because you have talks as well in this conference about it's still obviously I will show you the basis so we have some new concepts that can help us to discover escape the Colbert held in this scene cayéndosele and as well and tornado but that's we need to learn a bit of a theory who knows what is the future for me they can skip it the future of GE's OK now let's let's have a little little conversation here that so that the future is just like a placeholder object it is designed to receive and store the result of some operation that is not available right now at this point of time so we use a future as a placeholder to pass around and it will have a reference to the result of our operation at the in the example that they told in the beginning like if we're waiting for the database results but we don't want to just walk and wait for this result of the available we can be stored in the future and say OK this future it doesn't have a result yet it has a reference to the result and it will be ready at some later point so this future logic can be returned to the caller right away but and that caller can access the actual result later when it's available and this is the simplest way to all use the future to run it so this is obviously pretty dumped because it's still synchronous but just show you how it works so you need a library that works with future like returns teachers and for example some may think it should be Libor you go fetch your Python those you let's say that uh it's slowly but let's not but let's pretend that fall and we don't want to wait and block so instead this library will return your future state it's in the future variable and then we say to the valuable I look please wait until the future is writing and then when it's ready we just call future that results to get the actual result of this operation as easy that non-lexical routine the a coroutine is a function of its spatial like a generator function that can return some value and suspense so when we call it again as generator it will continue from the place or where it left off last time so unlike a function and it can be called multiple times students continuing and false and multiple times and this is the minimal example of a coroutine I
didn't use the 3 . 5 syntax and purpose because coroutine that something is you can get and by consensus to that seeks for prototyping so there is really no excuse not to use them so you define it just as a generator you say for chunk in data that freedom let's say that they that the through the sum rule ahead operation and then as a generator we're just yielding chunks back to the polar the that's a minimal example then what does it have to do with the same process developments like play really well it was futures because the future is something that can hold the a link referenced as a result of the law set and the quarantine can return it so authority returns futures that the way it works courtier returns a future pauses until the future right and then it continues from this place where it stops it this is an example of core team and then so we already formula is this distinguishability fetch a library that doesn't block but instead returns us the future so a reference to the result and then we yield the future so this is a new new concept here the by using the future we're giving it to the caller color in this case is valuable and we say that OK uh please do not wait to do other stuff in the meanwhile like handle other request and the meanwhile and whenever as a result of this future will be ready to do is just jump back in this place and continue as if he was never here that's kind of a magic have at works and then you just print a I mentioned that the event will be scholar in this case so what is a uncle it's kind of fair reactor pattern that we know from a computer science course it just waits for something to happen and that acts upon the events it's responsible for handling such things as your and system events and so I think I think there it actually has several implementations available at the model that will the default is the 1 most likely to be most efficient and use in operating systems like for about 4 windows it's still using the select loop but for Linux and Mac OS it's escaped you all uh so I think you will guess which a little can be used In the best case for your particular operating system is delegated to the operating system will and just x as a wrapper however you can always explicitly choose underlying if you like and again in a few words if you don't want details that I will possess something that says when that event a happens due the function the and saves this mapping that's in a nutshell what dust let's see what they seem very eventful because doing so here I already use that 3 . 5 syntax facing that this is just a fancy way to define a protein it's shows you right away they pay this is not just a function and not just a generator it's security missing that and so this is the entrance talk and say what curtain dust just says do the talk and prints question after this is finished we don't have any use here them so this is just the minimal example how the around the island no yields no futures just a minimal example now a bit more complicated let's have multiple proteins so there is here is an console and here is a coating grab a coffee what I want to show you here is how you can switch between 2 things so I will open this in so 1st we ran workshop or on so we prince welcome we await so weight is the same as used in this case so we do the blocking operations here to talk and at this point we use user weights there and the Library smart enough to say OK we're waiting on some blocking resource was something else and something else in this case is a protein graphical so then the next line that will be printed will be 6 drinking coffee and then we have a waiting for something again so while local staff have we have to wait here as well so now we jump to some other thing and so jumps back to the entrance so and then this statement blueprint thanks for coming and then after this scorching and is finished it will continue number 2 again so this is just a minimal example of how the I will switch between tasks for you it the the the could you please repeat what and land yes you also have Antone's workshop and here and Comstock thank you for all notice and its it was my there because I planned that as a workshop at 1st but then the fact that in the talk of the others will not work but this is a to live but anyway so I will I will not run it but thanks for pointing it out uh so let's compare those approaches like I am still fine to explain the data the general thing about proteins and futures you so this is also very very simplistic so the called this is the way that you would write usually a sequential called in then a framework anywhere framers to use that say this is a GET request handler we have a huge database query a synchronous 1 was stated in the result and then we print the results easy everyone did that Will the blocking here so we'll just wait for display and that's how it works in most cases that's how it works in general then how would you do it in JavaScript around
twisted you would say make the huge database query and then we will use a call you would say when the his database queries writing calls on result function so this is a bit messy because it Bush's you towards the spaghetti code but it's at least very clear because you're not using any quality in future magic so it's very explicitly say when this is done all this function this is 1 of the kullback way of doing the same thing the and this is the
case in the alternate our way of doing the same task you define inequality in facing the then assuming that you have huge database query terms a future so it supports this kind of operation you put a weight in front of it and by that you're telling the basically the same thing as in the example of all but was article but so huge database query terms the future you yields or way that future given vectors I will say 1 this future is writing the please give us the result and just save the results to the result variable so this and this should be the same for you and they actually looks the same that's the whole point of this talk to show you that they sink does not mean callbacks that so now again let's have a real example you should at the server there it is it is that the single city be framework all library available for Ising fail and its author under these actually this conference so I really recommend you to go to his talk is so going details on this I will be just showing you minimal example so a web apps that returns the low this as short that you do again thing that so define coroutine then you return but response remaining no yielding no waiting and then you run it's you create application you define your 1st and only rule to say that whenever it goes to this rules exec user coaching law and then you run it so this is the simplest example of you're not waiting for the database here of course that's why it looks so using but that the minimal thing need to run that you http server of course we want to get more tricky want to have a sink and the weights to be more realistic this is the very same example but now the moon you are going to some EUR so this URL that be been it's a nice tool that gives you a like a phase delay it's very cool to test your software so this will give us the way of 1 2nd and just if we will eventually run for and you will see what we're doing here we're defining again the handler we are and requesting was gets method this URL on top and then the result will be the future or courting you are waiting for its meaning giving it back to the idea Lope when there was a result is ready we're saving into response and now the surprise why we're waiting for the 2nd time who knows any ideas I actually there are 2 blocking operations in this simple example of such a neural 1st blocking operation is when you go back to the 1st 2 bytes like when you want to get the 1st by the response this is the 1st operation when he when you need to wait for something but then there is the 2nd 1 is the response is not going all at once if it's a stream a response this is why you need to wait for the 2nd time so let's say that 1st bite comes in 1 2nd but the last byte comes in 1 minute so you will be blocked the difference right so that's why do it twice in this example and then it brings a result again so this looks a lot of course not exactly the same as Django but I would say it's still decent and easy and you're not using callbacks them the what if we need to request multiple euros in parallel I will jump all this really quickly because as I said you have a dedicated talk for Ising fail and I usually be on this conference so I will just say that if you want to request multiple your else and this peril it's also very easy you just need to define multiple tasks make a tough to pull those and you this simple that will work this is the 2nd way
that you can do the same thing I ifyou're request and multiple euros you can use the I think that wait a function that would slow let you back multiple futures in 1 and this on purpose because I want to show you turn as well and now alternator and the big difference between tornado and spacing fail tornado was since to the 5 so even when you didn't have defenses syntax self esteem weights and that this thing that you already could use tornado and write this improves code was it's in Python using generators and I will show you how a right now so the tornado runs on the same idea of idle futures and coatings adjust uses hackish way of achieving the same thing because again into that 5 there was no mater way of having this functionality in Python so it has a different mechanics but it is used in similar syntax and the main thing well tested this table it's used to really a lot I can tell you so it's thought to be production ready if you have some web application that needs to deal was WebSockets thinkable tornado it's really good option for this uh how does it play together was a same for your well this is the idea of the stack that would work on top we have application level like tornado twisted or whatever and then we have the idea framework piecing and then on the operating system level as I said it had the cues that are most efficient for the operating system like a Curie polar select and windows it doesn't work like that right now so tornado and listed they both come with their own event loops but this is the idea that maybe at some point it will work with given to both tornado very similar to a scene scale you have to remember the syntax I'm just showing you that so it's as easy as I will but current it's a single-tone together I will want to do I will but starts to start and there is no big magic behind it and then if you want to run this bundled it's also possible there are adapters available in tornado to use futures as well as I look from I think on this is how you do it you just import I seen loop and the stock so it works to man futures again are compatible Sultanate 1st on futures but you can use futures from turning from the sink as well and this is really a handy because some libraries will give you futures of a single type let's say and you say hey why did they do the full application tornado and now it's incompatible so it is compatible that's really good things you can convert between donated and they see the by can force to and finally my minimal tornado Web it's very similar to this in the example we have a handle handle class you have gets function that handles its and you do so that's rights to return the response so the color and in the same way you define the recruiting you say listen on the sport you startled that's it now let's have an example of
action the euro and tornado it's quite similar to sing failed during the has only seen fishy to be client here it is that is doing the fetching for you so 1st you create an instance so that they seem to should client here then you do fetch own this returns you a future that you yields a polar trial supports the weights antics as well I'm just showing you here is that you can use it his Python 2 as well which is of course a bad thing but you can still there's so you yields the future desirable it does the processing and whenever the result right it saves it to the response variable and then you can bring to to the caller of printed to the client goods and then uh 2 over to fetch multiple Urals then you can do it like this I need my mouse here so that I did it on purpose here really forms yes so if you have that I did that on purpose here I didn't include multiple euros to show you how easy is affects multiple euros and set of 1 euro so if you have multiple Urals all you need to do is you up this as a list assuming that else is now least not a single euro so this is everything you need to change to fetch multiple euros and for the 1 year old turn is smart enough to notice is that when you use not 1 future but the least the future or dictionary of futures it will automatically process all of them in parallel so it's super handed yes yes yes you can goods now I'm running out of time so just a little wrap up there is listed that is super well well-tested throughout implementations of all the protocols are that you can imagine is production-ready and it's time for 1 so use that if you want to do something really complicated like developmental protocol there is a sinking which is the future so if you want to make something in the perspective of future support they do that and it is using the most Spencer synthaxe available in Python and then there is a tornado is kind of a compromise it stays in between I personal use tornado but just for his histogram role reasons but I'm not switching sold to a sink I think that's it yeah great thanks for not sleeping in the store and now was that the questions FIL personal on key commitments genes is yeah are my question is is how I see most of the part where you synchronous calls per ideal yes wired the benefits of synchronous of processing when were most of your things positive you found it boring yeah what what will be the benefit in that case as a great question so yes it is in the 1st place designed to be used this way so 1st so advantages you can take is is a is ai 0 that's like the scene I would say that 90 per cent of cases of waiting in the web application is ideal I cannot even think of another its well maybe you have some difficult final face recognition system running and it takes time you will you will not having a bad 1 thing that you have a goal is how else would you do if you would start the threat normal and that's a typical way so you can also do it was the scene feel there is a ThreadPoolExecutor and threat no and processable executor classes in a the singular library sold and advantage for you would be that you would not need to write to different called basis you would not need to use 2 different approaches you could use Burke self-esteem fail to wait for the IRI events and for your fancy you much recognition software you could start threats but still the use of this in chaos in text so we to make best thing probably easier bits and it would just make your code look the same way so the structure is a better if you have only like let's say some difficult machine learning computation there is no advantage as I see I could be wrong 1 Northwestern anyone not all there is to do there is that it's still a shock and you covered it really well 1 yes you yes so the other I side so and I know that this is probably very similar in to each other mean those frame was that and wondering whether you comparative like a performance of them or maybe there is something that actually you know yes 1 of them less performant ingrates curious question so I yes I The 2 compares the performance of course performances such term that they're like very numerous ways to measure the performance and you could measure the memory you can measure the speed and many things so what I did memories requests per 2nd I measure its tornado erasing the your own knowledge ES and scholar finagle like for libraries and do the same I'm sorry guys scholar be the best but uh at least 2 era better than no JS muscles salute actually yeah I think we need to have an out yes itself but thank you all for coming in thank you very much here was going
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Server
Socket
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Subtraktion
Klasse <Mathematik>
Implementierung
Zahlenbereich
Code
Framework <Informatik>
W3C-Standard
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Loop
Socket
Datennetz
Netzbetriebssystem
Endogene Variable
Direkte numerische Simulation
Thread
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Einfach zusammenhängender Raum
Protokoll <Datenverarbeitungssystem>
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Loop
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Digitaltechnik
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Vorlesung/Konferenz
Kombinatorische Gruppentheorie
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Einfach zusammenhängender Raum
W3C-Standard
Server
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Web-Applikation
Datennetz
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Grundsätze ordnungsmäßiger Datenverarbeitung
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Web-Designer
Socket
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Resultante
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Bit
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Datenparallelität
Datensichtgerät
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t-Test
Kartesische Koordinaten
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Gerichteter Graph
Synchronisierung
Computeranimation
Arithmetischer Ausdruck
Summenregel
Code
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Bildschirmfenster
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Default
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Folge <Mathematik>
Softwaretest
Koroutine
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Lineares Funktional
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p-Block
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Physikalische Theorie
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Lineares Funktional
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Analog-Digital-Umsetzer
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Bit
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Rahmenproblem
Gruppenoperation
Web-Applikation
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Implementierung
Computerunterstütztes Verfahren
Term
Gerichteter Graph
Synchronisierung
Hinterlegungsverfahren <Kryptologie>
Code
Demoszene <Programmierung>
Virtuelle Maschine
Multiplikation
Bildschirmmaske
Client
Perspektive
Software
Endogene Variable
Unordnung
Programmbibliothek
Speicher <Informatik>
Datenstruktur
Parallele Schnittstelle
URL
Protokoll <Datenverarbeitungssystem>
Güte der Anpassung
Mailing-Liste
Physikalisches System
Mustererkennung
Ereignishorizont
Data Dictionary
Histogramm
Menge
Rechter Winkel
Festspeicher
Datenparallelität
Mereologie
Basisvektor
Client
Normalvektor
Schlüsselverwaltung

Metadaten

Formale Metadaten

Titel Using the right Async tool, present day
Serientitel EuroPython 2017
Autor Caceres, Anton
Lizenz CC-Namensnennung - keine kommerzielle Nutzung - Weitergabe unter gleichen Bedingungen 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben
DOI 10.5446/33682
Herausgeber EuroPython
Erscheinungsjahr 2017
Sprache Englisch

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract Using the right Async tool, present day [EuroPython 2017 - Talk - 2017-07-11 - Arengo] [Rimini, Italy] Recent releases like AsyncIO and Django Channels gave a new push towards building real-time web-apps fast and easy. However, as similar tools exist in Python since 2000th, how should we balance between modern and time-proven? This talk includes but is not focused just on AsyncIO. It gives an overview of Async libraries in Python, and helps with choosing a right tool for various web tasks. It describes caveats of using Twisted, Tornado and AsyncIO including theory and live code, and concludes with a basic overview of Django Channels. Talk plan Why do we need Async Web (5 min) Existing libraries and frameworks: Twisted, Tornado, AsyncIO (15 min) Sample task, sample code, conclusions (10 min) (optional) what's about Django Channels? Q & A (5 min)

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