All those clickbaity websites and articles NEVER really talked about such a wonderful library that actually is a part of standard library. Today I learnt something new which will be actually helpful.
@mCoding3 жыл бұрын
Thank you so much! Glad you enjoyed!
@sharkinahat3 жыл бұрын
Performance tuning is usually an appendix in books and courses and the usual suggested solution is either timeit() or re-writing the critical part in c/c++. Thanks for showing a better approach.
@bva03 жыл бұрын
This!! There's a book on Cython that right in the beginning shows how important it is to profile the code before attempting anything more elaborate, so as to not waste effort on something that isn't a bottleneck
@dadestor3 жыл бұрын
well profiling is basically timing and if you need high speed python won't cut it anyways no matter what you do with it
@ApiolJoe3 жыл бұрын
@@dadestor What if you can reach something fast enough with some refactoring instead of rewriting in another language? Via profiling you can see quite easily if the program is spending a lot of time in functions that should not take much time, in which case you know what to refactor. Profiling can also help you see which parts of the program need to be particularly well written in the next language and which ones are not too critical on performance. Not exactly sure why you made your comment sound like you consider profiling as a waste of time.
@dadestor3 жыл бұрын
@Andrii Shafar v8 is good, but it's still an interpreted (or JIT -ed) language
@BakkarGraphics3 жыл бұрын
I never expected to learn such a thing, this channel is full of stuff that i never expect to learn, thanks man :)
@mCoding3 жыл бұрын
Happy to hear that!
@gokublack48323 жыл бұрын
exactly, that's why I love this channel, lots of beginner content out there, but not as much intermediate/advanced stuff and that's what we get here
@THEMithrandir093 жыл бұрын
Just to make it clear, what makes async so powerful is that it allows a cpu-python-process to parallelize waiting, in this case for responses from the network card. It is useful for data I/O to other devices, but it usually won't speed up stuff like costly operations on huge data-arrays. For that, multiprocessing is the way to go. If you happen to not like async for some reason, threading does basically the same thing, but as a different concept.
@bva03 жыл бұрын
Thank you for the post, I didn't know of async, just multithreading and multiprocessing. Do you reckon it may be advantageous to use async when scheduling workers in a master/slave paralellization paradigm? Then again, I think OpenMP does this "by default" doesn't it? 🤔 (Bare in mind my understanding of these things is rather superficial, since OpenMP can be used in Cython via a fairly high level api)
@THEMithrandir093 жыл бұрын
@@bva0 Since the trend away from monolithic software to microservices is huge right now(and for good reason), whenever I hear keywords like master/slave or multiple workers, I always check if microservices make sense over classical concurrent processing. The additional networking overhead is usually neglible thanks to great tools like gRPC and once you have the architecture set up, scaling from one server to entire datacenters, the roadmap is suddenly just a (complicated) recipe you follow instead of a monstrous engineering problem. So if you run multiple slave workers anyway, I'd rather run more single process workers that are ephemeral instead of dealing with concurrency in monolithic software. There's the 1% of cases where this won't go well, e.g. training neural nets, but for those few cases there exist great compute frameworks already, e.g. tensorflow and pytorch. But sometimes the solution/problem is small enough and you really only want to parallelize waiting and/or are limited by some device I/O, then doing async or threading to do that can be a great choice for sure! HTH
@bva03 жыл бұрын
@@THEMithrandir09 Thanks for the reply! I mainly use sparse direct solvers for optimization problems in mechanical engineering. Though I've been trying to migrate to sparse iterative solvers for HPC. I'll spend the next hour or so googling some terms in your answer, before asking further questions! Lol Edit: and yes, I use Tensorflow for some neural network problems! Though I find it difficult to fully understand the equivalence between certain numpy and tensor functions in order to fully get the benefits of operating in graph mode.
@mCoding3 жыл бұрын
I'm thinking of having a "when to use async vs multithreading vs multiprocessing vs nothing" video but first I need to introduce all the topics :)
@filipbartos75843 жыл бұрын
@@mCoding Thats great idea!
@Julie90093 жыл бұрын
Thank you so much for this very timely video. I had an app that I presumed was slow because I had some inefficient SQL queries. After profiling, I discovered that the slowdown was actually in a regex that I was running against every returned record. I now only run the RegEx against records that contain certain text. It was taking 38 seconds to run. It now runs in 9 seconds, 8 of which is rendering the Jinja template. This video saved me what would have been many fruitless hours trying to improve the SQL, which turned out not to be the problem.
@mCoding3 жыл бұрын
So great to hear your success story! I'm glad my video helped!
@mahdi7d1rostami2 жыл бұрын
I had never heard of anything related to this topic and actually, I had this problem numerous times when trying to do web scraping. That's exactly the problem with all tutorials on the internet. They only cover the basics and that's what makes this video so special for me.
@Neomadra3 жыл бұрын
Could you make a video going in more depth on the difference between async and parallel coding?
@mCoding3 жыл бұрын
Planning this sometime in the future, we'll see how long it takes to make...
@zactron19973 жыл бұрын
@@mCoding I think this would be a great video. I remember when I first started righting code that needed to be faster my instinct was just "well it's only using 1 core, so if I use all 4 cores it'll be 4 times faster!" Little did younger me know that instead of trying to orchestrate multiple cores all I needed to do was call some of my functions asynchronously to avoid IO bottlenecks.
@drishalballaney65903 жыл бұрын
yes please!
@Luclecool1233 жыл бұрын
@@mCoding please talk about gevent
@vornamenachname9063 жыл бұрын
wtf. even the plain words scream the difference in my face. the difference is so obvious. dont know why its even a topic worth.
@benixmo3 жыл бұрын
I was using async requests when needed but the profiling tool is a game changer, that was something I did not know existed.
@HypnosisBear3 жыл бұрын
OMG I've landed on a gold mine. This channel is awesome 👍👍👍
@mCoding3 жыл бұрын
Thank you so much I'm glad you enjoy!
@eric-seastrand2 жыл бұрын
Been using python 2 years and never knew it could do async/await. Thanks for this!
@drewbrown15343 жыл бұрын
This is fantastic. I've been working on a personal project that is sensitive to costly operations, and doing this has helped me significantly reduce runtime. No more guessing at where the problem is!
@mCoding3 жыл бұрын
Great to hear!
@onedez10 ай бұрын
Essentially, in the slow example, you're doing every get request one at a time, waiting for the first to finish before moving on to the next one. In the asynchronous example, you start all of the requests at the same time, doing them simultaneously, then wait for all them to finish before moving on.
@coolpix8078 ай бұрын
Your process of profiling is a big improvement to iterating through profiling output. Very helpful. Thank you for your video tutorial!
@mCoding8 ай бұрын
You're very welcome!
@Belissimo-T3 жыл бұрын
Your video quality just keep rising!
@Chaosman883 жыл бұрын
The timing of this video is perfect, I need to profile a GUI that runs a little bit slow, and I have to investigate why :) Also I'm looking forward for more profiling videos, this could be a series
@mCoding3 жыл бұрын
More to come!
@vijaybaskar76353 жыл бұрын
In a world of beginner tutorial, here comes a saviour with intermediate topics. Thanks a ton mate
@mCoding3 жыл бұрын
Happy to help!
@DaVince212 жыл бұрын
I was struggling to find good, simple but practical examples of the advantages of async and await but this has really cleared it up for me.
@mohammadzuhairkhan86613 жыл бұрын
Can you make more videos on intermediate topics? This is my first time learning about async and it already seems so helpful!
@nicolasmiller19153 жыл бұрын
Keep it up, great quality content!
@mCoding3 жыл бұрын
Thanks, will do!
@aqualung14662 жыл бұрын
This was a terrific video - I just cut a script from 45s to 3s using your technique. Thank you James!
@mCoding2 жыл бұрын
Awesome! Great to hear and glad that you were able to use snakeviz to go use!
@raymond-andrade3 жыл бұрын
Awesome content. This literally comes as I had issues with time it took me to process large amounts of data. I spent hours trying to look up videos to speed certain operations up only to find it to have little impact. Can't wait to try this out.
@TheAmPm1233 жыл бұрын
Today I learned that if you delete the 2 second sleep it takes 2 seconds off the time... Seriously though, great video, thanks :)
@mCoding3 жыл бұрын
You'd be suprised how easy it it is for a debug sleep or print statement to end up in a prod release ;)
@ChrisHalden0073 жыл бұрын
Wonderful! Thank you so very much for this introduction to profiling.
@mCoding3 жыл бұрын
You're very welcome!
@JohnDoe-wq9pr3 жыл бұрын
This is great info...good practical tips, presented to the point, with examples, and without all the time wasting filler content. Even IF it the purpose was to just make the video longer, the additional content was ACTUALLY useful. I'm sure there are plenty of videos on cProfile, but the bit about snakeviz was above and beyond. A lot of other channels that produce instructional videos can learn from this channel. I always look forward to more vids from this channel, even if they just randomly pop up on my stream. Time will spent!
@mCoding3 жыл бұрын
Thanks for the kind words! Glad you enjoyed!
@arisweedler47033 жыл бұрын
Icicle graph … flame graph ! Wow, python makes that easy. What a wonderful developer experience. It even serves it in your browser for you 😳😱😍
@georgesanderson9183 жыл бұрын
I had a good day today, but this new mCoding video just turned it into an ever better day! I didn't usually profile my code before this, but on my current project, I will. Thank you for the content!
@FireOnYouTube5 ай бұрын
My code went from taking 47s to 8s then when changing the max concurent requests number I got it down to 4s then finally to 1.4s. 33x faster. Perfect video.
@niconeuman3 жыл бұрын
Excellent video! Profiling is a super important tool! Your explanation and examples were very clear and useful!
@lepsycho36913 жыл бұрын
Even though I knew just from the code that the web requests were the slowest part, I will definitely use the profiler in my future projects! Thx for the amazing video!
@mCoding3 жыл бұрын
You are welcome! I know in this case the answer was obvious, but usually it's less obvious in a real project, I just wanted to keep it simple for this little video. Glad you enjoyed!
@chazmertes2 жыл бұрын
Thank you so much for contributing to the community in such a wonderful way!
@qm3ster3 жыл бұрын
Not gonna lie, expected the "feat. async/await" to be "you are using async where you didn't need to and that is slowing you down" :p
@josephlyons33933 жыл бұрын
Hey, I have a degree in CS and am employed as a Python dev. I fully understand threads and processes, but never use coroutines/ async-await. Would love an in-depth video in the differences in programming and usefulness, as well as what’s going on under the hood.
@bernardcrnkovic37692 жыл бұрын
basically it relies on user-space context switching which is cheaper than kernel/thread-space context switching done in multithreading. you could do the same with multiple threads but overhead of switching thread contexts would be larger than event loop contexts.
@simonthor75933 жыл бұрын
Pycharm also has a builtin run configuration called "profile code" or something like that, so you do not have to write the boilterplate cProfile code. This also shows a nice visualization
@leotaku52163 жыл бұрын
Great video! I'd also really like to see you do a whole video on how to best make use of asyncio. I roughly understand the API, but rarely know how to best make use of the different features. An introduction to your favorite async-powered libraries (e.g. httpx) would also be really helpful.
@WizardOfArc3 жыл бұрын
I’ve been wanting to know how to profile my Python code! This is SUPER helpful!
@Mufti1993 жыл бұрын
Dude you're content is so refreshing, useful, to-the-point, and just simple superb. I've been bingeing your videos like crazy! Thank you and please keep it up 😊 P.S. quite surprise I haven't seen any comment about cumtime. Yes, very childish I know but I had to put it out there.
@FutureAirify3 жыл бұрын
so many interesting videos to learn things here and there, thanks a lot
@alaapsarkar3 жыл бұрын
2:12 very very relatable I wish I knew about this a year ago when I was working on my thesis lol, this will be very useful, I always get to learn something new on this channel.
@mCoding3 жыл бұрын
There's always a next time!
@fvgoya3 жыл бұрын
Extremely helpful and goes straight to the point. This type of content is very, VERY valuable!!!! Thank you!!!
@mCoding3 жыл бұрын
You are very welcome I'm glad you enjoyed!
@vishalmishra70182 жыл бұрын
Thank you for making such a high quality video. Amazing.
@SavitskyVadim2 жыл бұрын
Masterpiece! Thanks for your effort, I managed to get my hands to keyboard from other side of sofa just to write this comment.
@ryanking92173 жыл бұрын
This is brilliant, thank you for sharing this. The profiling is going to be really useful at work.
@Mekuso83 жыл бұрын
I prefer kernprof which can shows your code's execution speed line-by-line which can really help in some situations
@bva03 жыл бұрын
Cool, first time I read about this
@bijeshmohan3 жыл бұрын
You’re amazing. Keep the good work.
@mCoding3 жыл бұрын
Thank you very much for the kinds words!
@Talon_243 жыл бұрын
A python video that includes async that is not a) replace a print("Yes") with an async call to a function that calls print("Yes"), or b) Send requests to a webserver that takes exactly 1 second to reply by using socket and make the little change of completely rewriting the entire program to have it use async? In my lifetime? I'm SO going to hit that like button an odd number of times! Thank you! Also great to see snakeviz promoted, that was a lifesaver when i found it; If that's helpful for someone, here's a powershell function for calling the script with the profiler: Function pyprofile { python -m cProfile -o $env:TEMP\python_profiling.prof $args snakeviz $env:TEMP\python_profiling.prof }
@rogervanbommel10863 жыл бұрын
Thanks, am a new programmer learning
@mCoding3 жыл бұрын
Happy to help!
@MultiPokemoncatcher3 жыл бұрын
Amazing, but even though it’s single threaded how does it handle the whole asynchronous part?
@calfdindon23533 жыл бұрын
Python magic behind the scene, i think that it gives each task a small cpu time and switches to the next task.
@MrChickenpoulet3 жыл бұрын
Yea like @Calf Dindon said each tasks will be run a bit and a "scheduler" has the role of switching which tasks has to be run. I believe it's when we call an `await` statement the scheduler will switch to another task and some kind of callback is set to run the logic once it can. If someone could confirmed this that would be great!
@mCoding3 жыл бұрын
You can read about the event loop design pattern here! en.wikipedia.org/wiki/Event_loop
@TheJuniorDev13 жыл бұрын
Imagine a teacher setting up kids for a test, but they want the kids to be in and out as fast as possible. So as kids start to line up she starts them on a test -> they start -> if one finishes the teacher goes to their test station -> writes down their score -> and sets up more kids for these tests. As you can see the teacher's only job is to start the kids on their test and not do it for them. Similar to the event loop. Python starts the requests and goes and starts more while waiting for the others to finish if that makes sense.
@MultiPokemoncatcher3 жыл бұрын
Yeah thank you everyone, makes a lot of sense. Didn’t realize it was like an event handler of some sort .
@transistivehq2 жыл бұрын
Man! You create amazing content! Thanks for all.
@philippmatten43202 жыл бұрын
Holy fuck, dude! How do you come up with all these ideas for new videos?! I so enjoy your content! Please keep up the good work! ;)
@nadavgolden3 жыл бұрын
More on async in python please!
@jussitamminen16763 жыл бұрын
I liked your videos about how to make python run faster!
@matiasmoglia3 жыл бұрын
Amazing content and very well delivered, thanks mate!
@mCoding3 жыл бұрын
Thanks so much!
@rtxmax82233 жыл бұрын
Advanced stuff with so much new stuff to learn about python modules.
@davidblake86123 жыл бұрын
I quite like the profiling function in the Spyder IDE that comes with the Anaconda distribution. You can just hit F10 and it profiles your code and shows the output.
@tincustefanlucian74953 жыл бұрын
Great presentation! Also you can achieve the same speed improvement with multi-threading or multi-processing with one request per thread or process. But that would mean longer video.
@mCoding3 жыл бұрын
Maybe a topic for a future video for sure! Thanks!
@_Xyr3 жыл бұрын
i learned alot this video yet again, thank you so much!
@mCoding3 жыл бұрын
You're very welcome!
@voinywolnyprod30463 жыл бұрын
Very clear and detailed explanation! Thank you very much!!!
@mCoding3 жыл бұрын
You're welcome and thanks for watching!
@gerozayas9425 Жыл бұрын
Your channel is amazing! thanks a lot for such excellent and useful content!
@emifro3 жыл бұрын
That looks very useful, ill definitely use it when I need to.
@alexanderschafer89792 жыл бұрын
15 Iterations with a two second sleep between each one in 12 seconds!! Man, this guy is really fast!!!
@mCoding2 жыл бұрын
I believe the sleep was outside the loop!
@telescopilan2 жыл бұрын
I really appreciate the fact you skipped the running time at 02:00
@Muhammed.Abd.7 ай бұрын
Woah! Thanks a ton Any idea on profiling GUI or flask applications? In GUI we have different threads for GUI and one for behind the scene works. I need to profile the backend task threads
@_Zabamund_3 жыл бұрын
Very useful and nice clean examples. Thank you.
@mCoding3 жыл бұрын
You are welcome!
@Mkemcz3 жыл бұрын
Nice and informative video. Video coding tutorials are usually a waste of my time since reading text-based tutorials is faster, but somehow your videos are an Exception to the rule. BTW: at 8:34 how did you generate that list comprehension? What IDE is this?
@botisonny3 жыл бұрын
he probably had it copied and just pasted the list comprehension
@MarvinTurner3 жыл бұрын
Amazing and straight to the point. Thanks
@youngzproduction74982 жыл бұрын
Nice tricks you put here. Thanks a lot.
@MSemih-dk6xp3 жыл бұрын
KUDOS!! Sincerely, I want you to thank you for your great videos!! I quite appreciate the knowledge you're sharing with us
@mCoding3 жыл бұрын
Thank you very much!
@tobiasbergkvist45203 жыл бұрын
line_profiler is nice - and way more intuitive to use than a flamegraph.
@PrashantKg19963 жыл бұрын
Another great video. Can you please make an elaborate video on async and parallel processing? It would be really helpful for people like me who don't have much understanding of such topics.
@mCoding3 жыл бұрын
It's been in the works for a while... hard to get right!
@JohnDlugosz3 жыл бұрын
How about benchmarking the same task done with Perl 5?
@BlackHermit3 жыл бұрын
snakeviz is awesome! Thanks James!
@mCoding3 жыл бұрын
You bet! Thanks for watching again!
@kwe41172 жыл бұрын
if you made a course I would buy it, you are amazing!
@argsahoo3 жыл бұрын
This was really helpful
@mCoding3 жыл бұрын
Awesome, glad you think so!
@chinnku3 жыл бұрын
Keep up the great content mate! Really helpful. Cheers!
@mCoding3 жыл бұрын
Thanks, will do!
@Iifesteal3 жыл бұрын
"Here's the random sleep someone forgot to delete. We can just delete that." X doubt. I would instantly test it to see if it still works.
@tahini2453 жыл бұрын
For asynchronous HTTP requests, the two main go-to libraries are either this one (httpx) or aiohttp. But is there any speed difference or advantages using one library over the other? Or do they do the exact same thing and it's simply up to personal preference?
@tissuepaper99622 жыл бұрын
That's a question that you would have to answer yourself by reading the parts that you're actually using in a given project and/or profiling your code using both libraries.
@guydht1Ай бұрын
Do note that this specific code block is *not* production ready - since it uses a blocking non-async reading of a file in an asynchronous environment ("with open(...)"). If for example that were to happen in an async web-server, that would be a horrific performance problem, making the whole server wait on that one read between all concurrent requests. Async in python is "colored functions" which is hard and sucks.
@benlong10622 жыл бұрын
This is a great video. Wow. Thanks!
@mCoding2 жыл бұрын
Thank you for your kind words!
@JamilBousquet3 жыл бұрын
Was not aware of httpx, fully expected you to talk about aiohttp. Thanks for sharing this video it's really helpful. Would love to see your take on multiprocessing in python if you've not already done so.
@mCoding3 жыл бұрын
My pleasure! Been working on an async/threading/multiprocessing video for a while, it's hard to get right!
@michaelmagro5908 Жыл бұрын
Lançou a braba!
@ggsap2 жыл бұрын
Could you make a video explanining asynchronous and parallel programming technically? I see many others just give a broad overview of how to use the library, not explain what it does under the hood. Great content!
@mCoding2 жыл бұрын
This is on the horizon, but if you are looking for an existing video, David Beasley has a great 2 hour ish video that might go into the detail you are looking for.
@khalilrouatbi63452 жыл бұрын
beautiful! i like the content of this channel.
@falcao_g3 жыл бұрын
this was really helpful, thank you!
@mCoding3 жыл бұрын
Glad it was helpful!
@CemKavuklu3 жыл бұрын
Fantastic stuff. Thank you very much.
@mCoding3 жыл бұрын
Glad you enjoyed it!
@alexwhb1223 жыл бұрын
Yet another fantastic video. Thanks for this. I learned a lot! Do you ever use the profiler in PyCharm?
@mCoding3 жыл бұрын
I use the free version of PyCharm :S so no profiler for me.
@alexwhb1223 жыл бұрын
@@mCoding I actually did not realize that was a difference between the pro and free version. Makes sense. I'd go free as well if my job did not pay for my license. I also did not know about the asyncio lib... so that's also a handy tip. 👍Keep up the good work. Love your videos. It's nice to find more technical content... in my experience most python videos I see are either way to basic or a good level of complexity, but the explanations suck or the production quality is bad... so you hit a really nice balance.
@guillermoalcantaragonzalez65322 жыл бұрын
Hey, Im curious. If you retrieve you URLs using map instead. Would that also take so long?
@sinakarimi82732 жыл бұрын
Very well, but i couldn't understand how actually it can speed up code with one thread and processor? Can you suggest a book about coroutines?
@АртёмЕфимов-о6н3 жыл бұрын
Such a useful channel. Thanks a lot.
@NostraDavid22 жыл бұрын
And to answer "yes, but is this still slow?": think about how much data you're processing and how long it takes. That gives you the MBps, and THAT can indicate whether your code is still slow. If you have a super fast machine and super fast internet and the data is only a few megabytes, I would say it's still slow, because modern machines can handle gigabytes of data per second. Just a little rule of thumb to know whether your optimized code is still slow.
@stifferdoroskevich18093 жыл бұрын
AMAZING! Thanks for sharing!
@mCoding3 жыл бұрын
You are very welcome! Glad you enjoyed!
@mriganknalin35193 жыл бұрын
Can you tell me what extension you use so that your brackets turn yellow when you place your cursor there?
@mCoding3 жыл бұрын
This is a setting in pycharm. "Highlight matching delimiters". It should be on by default.
@hshhsjhahsvs77282 жыл бұрын
Liked and subscribed!! That was helpful
@mCoding2 жыл бұрын
Great to hear! Welcome to the community!
@moastevenson77482 жыл бұрын
Brilliant! Thank you.
@robertbrummayer49083 жыл бұрын
Excellent and very interesting
@anuarlezama Жыл бұрын
Great video thanks! What is the difference between running cProfile.Profile() vs cProfile.run()?
@aaronbrant61492 жыл бұрын
Thank you so much for your videos, by the way , Can you tell me which software did you use to record the video? How to put the speaker in the video, I also want to use. Thank you so much.
@mCoding2 жыл бұрын
I'm using obs studio to record, and I have a grewn screen behind me so I can use the chroma key filter to make the background transparent.
@CritiKaster2 жыл бұрын
@mCoding Love you videos and explanations! I'm a big fan and hope to see more of your content. Very interested in this example - however I notice that the resulting http/https counters are way higher that the synchronous function - many of the asynchronous responses are just empty - is this a bug or a feature? Would love to understand this better. Thanks in advance!
@CritiKaster2 жыл бұрын
Ah found it - turns out the website URLs allmost all served a 301 redirect - fixed it by adding `follow_redirects=True` to the client.get line, so the full line is: tasks = (client.get(url, follow_redirects=True) for url in urls)
@RayHorn5128088056 Жыл бұрын
I wanted to see a comparison of both versions of the errant function but that wasn't done.
@josephlyons33932 жыл бұрын
Does asyncio.gather() actually allow for them to complete in whatever order they complete in? I feel like in my testing, it blocks in the order of the tasks in the list. I know that asyncio.as_completed() was made for that purpose.
@filipbartos75843 жыл бұрын
Great video! This was kinda obvious how to speed it up for devs already in bussiness, can you do some tricks you use to speed up your code?