Go vs Python: Updated comparison 2021

So Go finally made its way around to compare it with python. I am a hardcore fan of python, but this time I will try to keep this comparison non-biased. I have tried to put every edge of their usages into this comparison. Also tried to expand every inch so a beginner can understand very well.

Both are high-level languages, yet Go is a procedural but not Object-oriented, and python is procedural and Object-oriented language. Ultimately, Python is for people, while Go is for server-side commands and machines. Next to this, Go supports concurrency and Python does not, which means Go can run an algorithm out of order, whereas python has to follow the pattern strictly. At last, Golang is 40 times faster than Python.

paradigm - python vs go


Go vs python Differences.

python vs go concurrency difference
Developed byGoogle’s team members- Robert Griesemer, Rob Pike, and Ken ThompsonGuido van Rossum    
Developed in20091980s
Prime PurposeTo collective garbage all around the internet quickly, and also compiling codes faster.A general programming knowledge, most of the time used in data science projects.
Level of LanguageHigh-levelHigh-level
SpeedFaster than python, provedSlower than Go
Object-OrientedNot an object-orientedIt is object-oriented
TypedStatically typed languageDynamically typed language.
Syntaxesfmt.Println(“Hello, World!”)  print(“Hello, World!”)
ConcurrencySupport concurrencydoes not provide built-in concurrency
Memory managementYes, it offers memory managementIt does not provide memory management
InheritanceDoes not support InheritanceIt supports inheritance
PopularityNot even in the top tenIt is currently somewhere between the top 5 languages.
Learning curveSmallSmall
FutureIt has a bright future ahead.It also has a bright future ahead.
Tools and librariesComparatively fewer tools than PythonA large number of tools and libraries are ready to integrate with Python.

Introduction to Python and Go (Golang)

python execution vs go execution


Python was introduced back in 1991 in order to solve the data science-related tasks. With each passing day, this language has grown so faster while changes have taken place. With all this stuff happening with python made it capable of becoming the top language for executing in web servers, not to mention, the two popular frameworks Django and Flask did well for python to achieve this goal.

In 2021, Python has earned a decent place, majority of developers utilise this language in their projects, that is to state there, Python has become the universal language, which speaks to that it can handle almost every programming-related task.

This great language is also beginner-friendly; its robust features are easy to learn even if someone is very new into the programming field. The best thing about Python is that it has some Distros, Anaconda is one of them that is more handling data science tasks. You can read here about Anaconda and python Programming.

Drawbacks are also a part, in the case of python, although it is a wide range of applications, that’s what makes python vulnerable at some of its working areas. On top of them, it is not the fastest programming language, does not uphold memory usages, is not suitable for front-side, and the working areas in mobile are not so strong.

Go (Golang)

syntax different - python and go

Go is a statically typed compiled language, originated from the C family, as its syntaxes are closer to C. Having said that, Go short for (Golang) is designed to overcome some complexity that exists around, mainly the memory leaks, and speed performance. Go upholds them better.

Until now java is the only considered the fastest language, after Go, that play head-to-head with Java in speed performance is so palpable.

Similar to Python, Go also has assortments of use cases, on top of that are data science projects. As using Go, the data scraping process turned out far easier and speedy.

Out of the context if you want to learn about languages for data science, R vs python for data science will be suitable with your taste.

Comparison between Python vs Go

python vs go typed language

Real-time error catching

Python has a lot of IDEs that assist a developer catching up errors, and further assistance required in writing a program such as auto-completion is also possible. Anyways, sometimes the problem is not related to a mistake, by means that the code or function has to test by executing up in a server, to check if this is actually perfect or not. It is something python is not good with, as python code requires it to execute at once, not in parts.

Go does not have such IDEs that can hunt down real-time errors and let you provide a helping hand to write your program. The developers are working to fill this vulnerability. For now, If you know how to write a perfect code only then Go is for you. However, being a compiled type language reduces much of the problem with catching errors while programming.

Libraries & Tools

Python has so many libraries, being an old programming language, it makes sense that a large amount of equipment is out there to back Python up. Tools such as Panda, TensorFlow take much of the stress when it comes to utilising Python in machine learning. Not to forget about Django, flask both are doing well when utilising python into web servers. A list of Open source frameworks for python is covered here,

Go does not have as many tools and libraries as python, that’s what limits it to be on the top programming language. Unlike Python, Go does not have libraries for different working areas. If you do a little bit search, you can see most of the Go libraries are for Data-organization tasks even though it is known as a general language.


Python has vast community support, from StackOverflow to youtube, you will get your problem resolved in no time. Moreover, a large number of online training classes are teaching Python. The website like ww3.school.com type of website offers a to z Python courses.

Go being a younger language lacks community support. It is hard to find a solution related to Go, the online forums will be of no use, as hardly a few developers have mastered Go. Unlike python, you will face a tough time finding a working solution for your Go code, as you might be the one who will ask a certain question and get answered. This is how a community grows online.


Python is the most beginner-friendly language all over the world. There is no doubt. Its syntaxes are closer to English that increase its readability. Why should a beginner choose python, because it has so many working applications, if you are not happy with playing with your web server, you don’t need to? You can move on; you’ll quickly find something interesting while programming with python, even you can build some basic mobile and desktop games with python code.

Go has easy to ready syntaxes, and a small learning curve, yet might not be the right choice for a beginner to get hands-on with it first. The top reason for that is a beginner might feel some kind of limits while applying the Go code, however, if it is for learning data science, machine learning, Network programming, or something IT-related projects. Then, this makes no difference between python and Go. Choose whatever you like. 

Go vs Python Performance

memory consumption python and go

Some developers held benchmarks between Go and Python for sorting out the debate which one is performing better. And at what conditions?

We have gathered some data from several benchmarks. Perhaps after analysing the score, you will get to a point; moreover, these below-mentioned benchmarks will bring into light their performances.

1)   Finding a number

It is a performance test of getting a number, a list of 100000 was input similarly in Go and Python, only to see which one prompt-up the result faster, the number to search was 700.

Here is the result of this performance test.

Python2442.13377 ns/op
Go20.8 ns/op

The result is shocking, isn’t it? Go get the job done faster, actually too quicker than python. It made developers figure out which thing can impact so badly on python’s performance. And many of them ended up on a collision that, python has too many features, even it works as a scripting language that may lead python to generate such an inadequate response.

2)   Reading test

After analysing the result, the developers held one more test even to verify the speed of Python and Go. But, this time the object was not integers, they were English alphabets. And the task was to count the alphabets from a text “lorem ipsum” file.

 Here is the score

Go5305 ns/op
Python58359 ns/op

The difference in their speed is evident. You can see like before Go proved to be forty times faster than python even when the object was changed. Yet there was one last object left, that was HTTP request handling, so let’s loot over the results that had gotten from there.

3)   Https request handling- performance test

usage difference between python and go

To help this test, developers made an HTTPS server as the back end, and wote script something like when a request hits the server, both Python and Go ( programmes created by them) will start making a request simultaneously and serve a response into some words like “Hello world”.

Again, the result is here;

Go0.070 ms/RQ
Python1.261 ms/RQ

Again as usually, Go handled the HTTPS request faster than Python.


There is no much surprise in this catalogue of speed performance, for a reason the Go’s leading aim is to be a faster-compiling language, what is more up is that there are rumours about Go that it performs faster than Java which is currently the quickest programming language (in some overlapping working areas). However, Python, on the other hand, does not seem to make any impact if there is a language which is leaving behind python in terms of speed. As python still has the upper hand on Go, except just speed performance, countless features are out there that you can get only in Python, not in Go.

Go vs Python which one should you use in 2021?

python vs go object orientation

For machine Learning

Python so far comes with a standard choice for machine learning, tons of libraries and tools, especially for ML projects, are out there. With easy to understand, readable syntaxes, and ease in coding. Not to forget about Go’s overlapping features too that are almost similar, however, Go being a new language, does not have a wide range of libraries and tools for Machine learning.

Both offer almost the same features in terms of readability and are easy to learn for beginners. How to decide which one will be more suitable for you then?

Generally speaking, a big part of machine learning is associated with servers; sometimes, we have to gather data from servers to execute them in machines. This is where Python seems to lack, mainly speed-performance, and credibility. On the other hand, Go takes advantage here as it comes up with some tools that come in handy while playing with servers.

It is not something that python can’t do, but figuring out the best tools for that purpose, memory shortage issues are for sure some fundamental obstacles one has to first deal with.

For Backend

If your first target is to speed up the process on your Backend, choosing Go will be a wiser choice.

Go supports concurrency which is the prime reason why Go can handle multiple requests at once, whereas Python does come up with such a feature.

If we take this situation generally, assuming that backend speed is not the primary concern, in that case, python may have the upper hand in terms of some robust features, such that building REST API is one of them.

About Moiz Rajput

Moiz here, he is a Blogger, a Creative Content Writer, and an SEO intern at the same time. He is passionate about what he does, energetic, incentive, with a positive attitude towards sociology.