HTTPX Tutorial - A next-generation HTTP client for Python
In this Python Tutorial we learn about HTTPX, a modern HTTP client for Python with async support.
Resources:
www.python-httpx.org/
www.twilio.com/blog/asynchron...
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#Python
Timeline:
00:00 Introduction
00:47 Installation & Features
02:25 Basic Usage
03:55 Advanced Usage with Client
05:27 Async API
06:20 Web App Testing
07:33 Speed Tests
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Пікірлер: 117
What's your favorite HTTP library in Python?
@franciskatende1566
Жыл бұрын
httpx
@abdultheseekerofknowledge4453
Жыл бұрын
requests
@thesupercoach
Жыл бұрын
aiohttp
@0xN1nja
Жыл бұрын
requests
@shanecaler1167
Жыл бұрын
Aiohttp because you can change proxies per request in a client rather than having to set the proxy at the time of creating the client. Httpx would be the better option if they had that one feature
This was brilliant, the more involved topic, the comparisons, discussing correct practices, everything! Keep it up!
Thx Python Engineer for making High Quality Videos!
I love Python! ... the simplicity of Pythonic ethos reverberates through even 3rd party Python modules
Great content, looking forward for more.
Thankx for breaking it down.. great tutorial for beginners
It's funny I recently ran into domaintools switching from requests to httpx and didn't know why. Thanks for the run down!
Small nitpick, can you please use time.perf_counter() instead of time.time() since a lot of beginners watch your videos and it's the better function
@cobyiv
Жыл бұрын
Why is it better?
@bongjunjang5683
Жыл бұрын
@@cobyiv because perf_counter uses cpu clocks to measure the difference of two function calls, while time.time returns the system time, which is subject to changes by the operating system.
@bongjunjang5683
Жыл бұрын
@@cobyiv the system time, also called as ‘real world time’, is always subject to changes because your operating system periodically tries to calibrate the clock with clock synchronization protocol. You should not use system time to measure the difference of two time points because the time measured latter can be smaller than the time measured earlier due to these changes.
@anthonyaouad4190
Жыл бұрын
@@cobyiv check out pep418 peps.python.org/pep-0418/#rationale time.perf_counter() has the highest resolution for time deltas and is the one that should be used.
@bytesizedfeed
Жыл бұрын
Could you instead use time.process_time()?
I used this in our project… best library for async and sync requests
Thanks mate !! Great one
Brilliant video!!
GREAT CONTENT, THANK YOU!
Excellent. Thanks.
Very helpful!
This is a great video that came at the right time! I was working with an API for the past week and the part of the pipeline that took the longest was the APi request through the requests library. Now I'm going to implement this HTTTPX client and also try to work in the Async feature! Thank you! You're awesome!
I was trying to use this, but you can't pass context to event handlers. This means, for instance, that a response handler only knows the response, but it has no knowledge of what the request was. Handlers are only assigned at the client level (no per-request handlers). So to get different handling for each request, you need a new client. This breaks connection pooling. Ultimately, I went with aiohttp, as it allows passing context per request. Hopefully they add this feature to httpx.
Any thoughts on whether additional code would be needed to handle a server's responses such as HTTP rate-limits?
Great video thanks! Now is this also able to handle well in a multiprocess async fashion? I am looking into aiomultuprocess and not sure if it would be better to run this over aiohttp.
Interesting. Thanks
wow thanks for the tip
have you tried http2 for making request ? what was the performance difference between http 1.1 vs 2 ? I think requests does not support h2 but httpx does.
Are there benefits compared to aiohttp? Performance should be comparable, but I'm curious if there is more... probably on testing flask / fastAPI as already mentioned?
@ivan2885
Жыл бұрын
so i think, as a HTTP client the bast solution for now is httpx, because AIOHTTP provides httpserver and httpclient as well.
@Assxz
11 ай бұрын
aiohttp is faster than async httpx, but need more code to write and less intuitive (like requests library). and httpx supports http/2 which is faster
Nice.
I always wondered if something like this would work to build backend webframework with
Well what is the difference between it and the requests library?
It would have been great if you verified that all the 150 Pokemon were successfully gathered after each time trial. We are just trusting that the outcome of the 0.57 second async gather is equivalent to the 7 second synchronous gathering of Pokemon details. I believe you, but I am skeptical and an extra 2 or 3 seconds in the video to print the contents of the lists after would have been appreciated! Thanks
Hi, thanks for all useful info Could you please make video list for your shorts videos
What is the VS code theme used ? I really like it !
What theme do you use in VS code?
🎯 Key Takeaways for quick navigation: 00:00 📖 Introduction to HTTPX 00:27 🚀 Getting Started with HTTPX 01:37 📜 HTTPX Features 02:58 🧪 Basic Functionality of HTTPX 04:05 🔧 Advanced Usage with HTTPX Client 05:27 ⚡ Asynchronous API in HTTPX 06:24 🧪 Testing Web Applications with HTTPX 07:33 🚀 Speed Comparisons 10:58 🎉 Conclusion
Speed comparison starts at 7:33 - kzread.info/dash/bejne/o3Wcl8Z9f6ewZc4.html
Can you please give a lecture about 'with' ?
Do you know why memory leak is happening when using in fastapi on linux?
httpx is very good library. amazing asyncio support. at my job we have replaced all httprequests in our code base with this. we used aiohttp and requests in the past.
How Can i Use Place Method with Frames in Tkinter ?
try using timeit to time method execution, python time library is not meant to time method execution
can you build a desktop app. determining the area of any engineering shapes like rectangle ,..... .
How well does this intergrate with Django?
Can you please make a video on Aws Cloud Front How can I Use This http module with Python
nice demo, the requests does not support asyncio, so there is aiohttp can help. now, we have another library which much convenient than aiohttp. the httpx have the same style as requests..thanks !
Make a video about socket
I am new to your channel
Hope some day, httpx supports (Async+Socks5 proxy)
But can't you use requests in asyncio via to_thread?
So they combined requests with aiohttp? Don't think I'm going to bother changing my code to just have a single import.
I'm pretty sure there is ways to archive similiar result with request module and threading.
@angeloj.willems4362
Жыл бұрын
That's the method I currently use. But this looks to be faster.
@lucianofeder5422
Жыл бұрын
And using async you dont need more threads to just wait requests. You can take advantage of a single thread on those kinda of tasks.
Looks cool but not enough features to switch from requests
the last example sometimes is giving "RuntimeError: Event loop is closed" or "httpx.ConnectTimeout" but sometimes it is executing properly, I am using python 3.8. , windows 10,, can you please explain what is happening, and what is the solution?
@pritamsarkar3371
Жыл бұрын
got the solution , just need to increase the timeout param
Which faster httpx or aiohttp
import httpx as requests. Boom no refactoring required
99% modern internet is adult content or advertisement. I remember the times when a page opened in a browser was tens of kilobytes in size, and not like modern monstrous pages in megabytes and tens of megabytes.
Why does python use single-line quotes instead of double quotes when defining a string literal? Golang always uses doubles. What could be the reason for this choice?
@tolia5587
Жыл бұрын
You can use double or single-line quotes. For example print("text"more text"text") won't work, but print("text'more text'text") will work
@int0matar
Жыл бұрын
@@tolia5587 I didn't mean it, it's all clear. I'm talking about the fact that it would be more logical to always use double quotes.
@tolia5587
Жыл бұрын
@@int0matar Yeah, I agree with you
Whats the point? If request is working perfectly then i dont see the need for more bloat and dependencies.
I'd still choose aiohttp over httpx for pure async code
i think requests + asyncio.to_thread way simple and clean kkkk
Nice explanation Patrick, but 'Pokémon' is plural. Not 'pokemons'
its missing http/3
Is this better than uvicorn?
@vraymond2048
Жыл бұрын
Uvicorn Gunicorn is for server side hosting. In contrast, Request and httpx module is client side to request result from server.
@TNeulaender
Жыл бұрын
It's even better than Excel
wow
"There is no way to get async with requests" ... well there is, using greenlets and gevent.
Hi Patrick ! Bateman
MEMORY LEAKS: httpx.Client and httpx.AsynClient is leaking memory when you are not passing custom ssl_context. So if you use it in production, be cautious behind tutorials in vacuum space != your real code.
threading with request would have beeen as fast...
In the last example there is no need for `asyncio.create_task`. You can do it just adding coroutines to list `tasks.append(get_pokemon(client, url))`. What's more - to make this code more "pythonic" you can do it like: `pokemons = await asyncio.gather(*[get_pokemon(client, f"{base_pokemon_url}/{i}") for i in range(1, 151)])` :D
@angeloj.willems4362
Жыл бұрын
True. I tried it without asyncio.ensure_future and it worked prefectly.
Nice, but honestly for a language that itself does not perform well and therefore always was the perfect wrapper and easy to handle, this async function (the right way) looks way to complicated. They should have made it WAY more simple.
New gen? You mean someone just made helper methods deal with this for you
No http/3…
You're comparing parallelism to synchronous code. This is not really a fair comparison.
.
hell no why every new framework say "next generation framework" just stop saying just GO and do it or you RUST
trash expansions upon trash
@Jkauppa
Жыл бұрын
you do thrash just for money sake, nothing useful, therefore trash
@Jkauppa
Жыл бұрын
trash bloats around everything