Python concurrency only runs on one thread, because of the global interpreter lock and how asyncio works. No idea on Go, assume it is multithreaded. Answer from nekokattt on reddit.com
Reddit
reddit.com › r/python › how different is python concurrency vs. golang concurrency?
r/Python on Reddit: How different is python concurrency vs. Golang concurrency?
February 18, 2022 - You are confusing parallelism and concurrency. Python is pretty decent at concurrency with asyncio and alternatives like trio. Compared to go, there is of course the limitation of the event loop running on a single thread and of the ecosystem not being async only.
Go or Python -- which one is my main language for the next 5 to 10 years?
Learn more languages. Don't be lazy. No one ever got a job for knowing one fewer language.
More on reddit.comGo or Python?
I do 'devops' work in both. In this case, I suggest Python, with reasons following. I'll default to using Python unless there are specific reasons not to, in which case I go with golang. The canonical case for not going with Python is performance. However, few devops development activities are actually language performance limited. Also, given your background, my guess is that you'll get productive in Python quite a bit more quickly than you'll get productive in golang. More on reddit.com
Why are people ditching python for go?
As a python programmer by trade, here are three reasons not to use python: Dynamic compilation can result in errors that exist in code, but are not detected: This is perfrectly valid python: def junk(): afdfaf asdfd fdafd / dsfsaf() Of course if you add junk() to the end, it will fail with errors about missing functions and variables; but compiled languages like go don't suffer from this problem. CPython really is very slow. Very specifically, procedures that are invoked multiple times are not optimized to run more quickly in future runs (like pypy), they always run at the same slow speed. So operations like populating matricies and doing matrix maths are really slow. So slow in fact that future version (3.5? See http://legacy.python.org/dev/peps/pep-0465/#discussions-of-this-pep ) will have an explicit operator for this. You can get around this by calling c libraries, but it's irritating as a developer to write something in python, realize its too slow, and then have to rewrite it again in C. Very. Very. Irritating. Python has a terrible distribution story. Virtualenv, buildout, pip, easy_install, distribute: they all boil down to the same thing; it's really hard to ship all your python dependencies onto a new system. ...and even then, if you have a perfectly setup version pin for every library, it can still break when (for example) freetype upgrades and your old pinned version of Pillow doesn't compile any more. Oh? You had some dependencies on the old version of pillow? Upgrade all the things! There are a few 'binary builders' for python like pyinstaller, cx_freeze; but they're pretty rubbish practically speaking. Even the best showcase of these tools ends up shipping simple GUI apps like Calibre that are hundreds of megabytes in size. Let's not even talk about writing something in py3 and getting half way in to discover a core dependency hasn't been ported yet. . Go addresses those points pretty sharply; good distribution story with static binaries; repeatable build process (abit hindered by the same issues as python when you bind a c library; but at least you can statically link C libraries into go binaries), and it's really pretty fast. So is it worth abandoning python? Probably, professionally, not really; especially if you're looking at web development. The ecosystem for python is really strong, and there are some really decent web tool kits like flask, pyramid, some great libraries like sqlalchemy, and a lot of support for it from the academic community for stuff like natural language processing. ...but would I build a GUI app or a game in it instead of Java or Go if I had to start tomorrow? Absolutely fucking not. More on reddit.com
If I learn python, will learning GO be redundant?
Both python and Go provide good bindings for TensorFlow but if you want to get really serious look at C/C++. Next application development, there are bindings for Qt and GTK+ for both languages. But again Qt is C++ and GTK+ is C. Go shines more on servers or in high concurrent tasks while python ... More on reddit.com
Videos
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🔥Python vs Go #shorts #simplilearn - YouTube
26:12
Go vs Python: What Every Developer Should Know - YouTube
Speed Comparison - Python VS Go
12:23
We switched from Python to GO! - YouTube
04:51
Go vs Python: Which Language Should You Choose? | Ultimate Comparison ...
Zartis
zartis.com › home › software development › go vs python: performance, concurrency, and use cases
Go vs Python: Performance, Concurrency, and Use Cases | Zartis
October 28, 2025 - As we’ve seen from the project example, Go is quicker than Python, but it’s more verbose. That’s why some companies (like Docker or Kubernetes) have decided to use Go for performance reasons in critical parts of their software. Go is quite often used for networking, microservices, wherever high performance is important. It offers great performance and it’s easier to use compared to, for example, C++. Another quite important feature of Go is concurrency.
Pythonade
pythonade.com › pythonvsgo.html
Pythonade - Concurrency Face-Off: Python vs Go
The Go runtime multiplexes goroutines onto OS threads, managing scheduling and context switching automatically. This allows Go programs to run thousands or even millions of concurrent goroutines with minimal overhead. By contrast, Python's coroutines require more explicit syntax and management:
Medium
medium.com › @ahamrouni › why-gos-concurrency-model-surpasses-python-by-2025-2d50d1948129
Why Go’s Concurrency Model Surpasses Python by 2025 📖 | by Ahmed Amine Hamrouni | Medium
December 23, 2024 - Go’s Concurrency: Go’s concurrency features (goroutine, channel, select) are baked into the language. You get built-in channels for thread-safe communication and the sync package (e.g., WaitGroup) for orchestration—no separate library required. 💡 · Python CPU-Bound Limitation: Because of the GIL, CPU-bound tasks in Python threads don’t significantly speed up past one core.
Medium
medium.com › dev-bits › a-cup-of-gos-concurrent-programming-for-python-developers-a80e621c45ff
A cup of Go’s concurrent programming for Python developers | by Naren Yellavula | Dev bits | Medium
April 13, 2019 - The example is you can write a Python program to copy the standard input to standard output(console by default) and also compute some busy algorithm at the same time. One is the I/O, other is a CPU bound operation. We do stick to the single core for now. Why are we bothering about all those details? The intention of this article is not to show why Single-core Vs Multi-core scales. It is to show even on a single thread, how Go’s concurrency is different from thread-based concurrency in other programming languages that makes us solve problems in a clear way.
Sahil M
isahil.me › blogs › concurrency_in_python_vs_golang
Concurrency in Python vs. Golang: Performance Analysis and Use Cases | Sahil M
August 29, 2024 - Goroutines are lightweight and efficient, making Go a superior choice for high-concurrency applications. ... In benchmark tests, Golang consistently outperforms Python in concurrency scenarios, particularly in web servers and real-time data processing systems.
Medium
medium.com › @random.droid › concurrency-in-practice-go-vs-python-for-kubernetes-tooling-d47c71be42e6
Concurrency in Practice: Go vs Python for Kubernetes Tooling | by Shreya Maheshwar | Dec, 2025 | Medium
December 24, 2025 - Python: Each log stream is a subprocess. Use asyncio.create_subprocess_exec and read from stdout asynchronously. The "fan-in" is handled by asyncio.gather(), but merging streams into a single real-time UI queue required more boilerplate than Go's channels. Go: Libraries like Bubble Tea (not used here, but common) or manual escape codes rely on the main thread for rendering. Concurrency safety (sync.Mutex) is critical because any goroutine could write at any time.
Eli Bendersky
eli.thegreenplace.net › 2018 › go-hits-the-concurrency-nail-right-on-the-head
Go hits the concurrency nail right on the head - Eli Bendersky's website
The fundamental issue here is that both Python and C++ try to solve this problem on a library level, when it really needs a language runtime solution. As you've probably guessed from this article's title, this brings us to Go. I'm happy to go on record claiming that Go is the mainstream language that gets this really right. And it does so by relying on two key principles in its core design: Seamless light-weight preemptive concurrency across cores
Madeddu
madeddu.xyz › posts › golang vs python: deep dive into the concurrency
GoLang vs Python: deep dive into the concurrency | madeddu.xyz
January 17, 2018 - First, because the call to more then one thread / process would be done only once over a partition of original data - to be merged in the end, eventually in a concurrent way: this is not exactly the behavior of my GoLang version, that call recursively a concurrent routine until the semaphore accept new concurrent routines - and in the end call a single-routined instance of the sorting method. So I thought “I simply can’t realize a multi-routined (threads or processes) of my merge sort in Python using a simple one-shot split method, because it is not computationally equivalent”. For this reason, the first thing I tried was to replice exactly the same behavior of Channel and WaitGroup using the semaphores primitive in Python - and after some days of work I got it.