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.
🌐
Pure Storage Blog
blog.purestorage.com › home › concurrent programming case study: comparing python, go, and rust
Concurrent Programming Case Study: Comparing Python, Go, and Rust |
November 16, 2025 - While Python is the easiest language to work in in general, it’s subtle and difficult to write performant, parallelized Python code. In contrast, Go and Rust make writing concurrent code relatively easier.
Discussions

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.com
🌐 r/golang
17
1
August 21, 2016
Go 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
🌐 r/devops
55
64
June 25, 2018
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
🌐 r/golang
49
33
July 17, 2014
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
🌐 r/golang
July 12, 2018
🌐
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:
🌐
Lincoln Loop
lincolnloop.com › blog › concurrency-python-vs-go
Concurrency in Python vs GO | Lincoln Loop
August 29, 2025 - The beauty of Go is that it only takes 2 letters to move from a synchronous to a concurrent version. Simply add go in front of the function call to fibHandler(conn). Not only is it simple, but, unlike Python, there is one obvious way to do it.
🌐
TechTarget
techtarget.com › searchitoperations › tip › Compare-Go-vs-Python-What-are-the-differences
Compare Go vs. Python: What are the differences? | TechTarget
Go is designed with concurrency at front of mind. Using goroutines, any function can run asynchronously, separate from the rest of the program. Python does support multithreaded execution, but it doesn't feel as polished and cleanly integrated ...
🌐
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.
Find elsewhere
🌐
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.
🌐
Software Engineering Daily
softwareengineeringdaily.com › home › why we switched from python to go
Why We Switched from Python to Go - Software Engineering Daily
March 3, 2021 - Go is a very performant language with great support for concurrency. It is almost as fast as languages like C++ and Java. While it does take a bit more time to build things using Go compared to Python or Ruby, you’ll save a ton of time spent ...
🌐
The One Technologies
theonetechnologies.com › blog › post › golang-vs-python-comprehensive-comparison-for-developers
Golang vs. Python: A Comprehensive Comparison for Developers
October 15, 2024 - Because of this, Go is frequently used to create concurrent, scalable systems like servers and cloud-based apps. Python allows for multi-threading and multi-processing to achieve concurrency, but its Global Interpreter Lock (GIL) prevents it ...
🌐
Medium
medium.com › @midnightfiresale › python-vs-go-in-2023-fcaf9d511750
Python vs Go in 2023 | Medium
August 18, 2023 - In this example, Go’s goroutines effortlessly handle concurrent execution, allowing both tasks to run efficiently. Python’s threading can be effective for I/O-bound tasks, but its GIL limitations hinder performance for CPU-bound tasks.
🌐
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
🌐
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.
🌐
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.
🌐
HBLAB GROUP
hblabgroup.com › home › it consulting › go programming language vs. python: a comparative analysis
Go Programming Language vs. Python: A Comparative Analysis - HBLAB GROUP
March 25, 2025 - Go was designed with concurrency in mind, introducing goroutines as a core feature. Goroutines are lightweight, managed by the Go runtime, and allow developers to efficiently handle multiple tasks simultaneously.
🌐
Guru99
guru99.com › home › python › go vs. python: what’s the difference?
Go Vs. Python: What’s the Difference?
August 12, 2024 - Go supports concurrency, on the other hand Python, doesn’t have any in-built concurrency mechanism.
🌐
Blog by Kowalczyk
blog.kowalczyk.info › article › 4dep › go-vs.python-for-a-simple-web-server.html
Go vs. Python for a simple web server
If there’s one feature where Go easily beats Python it’s concurrency. Mainstream languages, including Python, use threads for concurrency and locking for protecting shared data, which is error prone.
🌐
CodiLime
codilime.com › blog › software development › backend › go vs. python — main differences overview - codilime
Go vs. Python — main differences overview - CodiLime
October 4, 2021 - In comparison to traditional threads (as in Python) Goroutines utilize less resources. What’s more, multithreading in Python couldn’t be taken literally - Python programs are single-threaded with the possibility to add concurrent routines.
🌐
Silicon IT Hub
siliconithub.com › blog › choose-the-right-language-by-comparing-golang-vs-python
Golang vs. Python- How Programming Languages Difference
December 26, 2025 - The result of both these problems shows that Go is way ahead of Python when it comes to performance. Multiple tests have shown that Golang runs about 30 times faster than Python. Concurrency is an application’s characteristic of running more ...