With Python still keeping its position at the top of the list of the most used programming languages in the world, Go is starting to crawl up the ladder. Even though in Go vs Python the latter is still in the lead with 44.1% of developers using it for their work, Go is gaining more traction and comes in at 8.8%, according to Statista.

As with all technologies and tools, new ones eventually emerge, but only some of them survive. While the programming language Go is only at the beginning of its journey with, according to SlashData’s study, 1.1 million active users, Python with 7 million users is one of the most well-known languages in the world.

What makes Python so popular that has allowed it to stay on top of the competition for over a decade? What is Go programming and why use Golang for software development? In this article, we will discuss the advantages and disadvantages of Python and Go, and try to establish which one of the languages is best suited for your next project.

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GO: The basics you should know

The popularity of Golang comes from its high security, speed, and modularity. More and more companies choose this technology for their products in various industries, such as FinTech. So what is Golang? Let’s talk about the history of the language and cover the pros and cons of using Golang.


What is Go?

What is the Go programming language and why are we talking about it today? Go coding language was developed in 2007 and introduced to the public in 2009. It has come a long way and nowadays joined the club of the most used languages for software development. The purpose of creating Golang was to simplify the software development process and provide a more simple and relatively performant alternative to programming languages such as C++.

go vs python companies using go
With big players like Apple, Facebook, BBC, and of course Google using Go development language for their processes, it is gaining more and more relevance in the tech community. But what is Go programming language used for and how can it benefit your business and technical operations?


The pros of using GO


Easy to learn

Especially for developers who have worked with C++ and C#, Golang is relatively easy to master. The simplicity of Go’s syntax also makes it a great choice for programming newbies.


Another advantage is Golang speed which allows you to build and compile extremely fast. Go is compiled directly to machine code which gives it a great benefit compared to languages that work through virtual runtimes. As a result, developers can write programs faster and deliver high-performance applications quicker.


High security is another advantage of Go that is derived from its simplicity. Go is a statically typed language that does not require complex structures, which makes error detection easier. On top of that, an integrated garbage collector makes sure your memory stays intact.

Feature-rich library

Another one on the list of Golang advantages that comes with the language is its’ standard library. Many languages require additional secondary libraries that might generate conflicting function names and complicate the process. Go’s feature-rich library is full of sufficient tools that make the process of development easier and quicker.

The cons of using GO


Young language

As the language is still relatively young when comparing Go vs Python vs Java, it does not provide the amount of support other languages do. Since it is mostly volunteers and enthusiasts who answer questions on GitHub and StackOverflow, or develop supporting libraries and other tools, Go is losing to its peers in this regard. However, it is only a matter of time until Go receives well-deserved support from the community.


As Golang is a strictly compiled language, in the Go vs Python comparison, it loses a point. Due to Go’s nature, developers have to spend a much longer time on writing boilerplate code. What you can accomplish with just a few lines using Python, you will need dozens of code lines to get there with Golang.

Lack of code reusability

Go lacks the so-called generic functions that allow you to minimize the footprints of functions. Without them, software engineers lose the tool for code reusability which noticeably reduces the efficiency of the development process.

No niche

Every tech expert will tell you that JavaScript dominates front-end development and the features of the Python language make it a great tool for data analysis and visualization. Go has been built to solve company-specific problems at Google.

The list of benefits and disadvantages is difficult to perceive without any comparisons. In the following sections, we will dive into Python’s strengths and weaknesses and compare their features in a simple overview.

Python: The basics you should know

In our Go vs Python article, we will also dive into the definition as well as the advantages and disadvantages of Python. Python is a dynamic-type programming language that has been on the market for nearly three decades. It can be used for a very broad selection of projects and systems, including complex tasks like machine learning programs and network servers. With clients like Google, Facebook, Netflix, NASA, and others using Python for their projects, the language has become one of the most used technologies in the world.

go vs python companies using python

What is the Python programming language?

Python is a popular general-purpose language that can be used to power the backend for web development, facilitate big data processing, including complex mathematical computations, as well as writing system scripts, and even enhance automation, for instance, through the use of a SERP Scraper.

Python is often referred to as a “glue language” that allows the front and back ends of your application to smoothly work together. Even though Go is in many ways one of the languages similar to Python, there are many points where they differ. Let’s talk about Python’s benefits and downsides in more detail to have a clearer distinction between Go vs. Python.


The pros of using Python

go vs python python uses


Data visualization

Python is the go-to technology when an application requires advanced data analysis and visualization capabilities. Large tech and fintech companies take advantage of Python libraries like Matplotlib, Seaborn, and ggplot to create dynamic and easy-to-read graphic reports.


Python’s simplicity and agility allow to utilize Python development for prototype building. Easy code refactoring and accelerated development process deliver high-quality prototypes that can be made into a final product in the future.


Python is incredibly versatile, especially if we compare Go vs. Python. The variety of available libraries and frameworks allows you to pursue web development, IoT and Machine Learning development, and even improve automation within your organization using, for instance, Python crawlers.

Asynchronous programming

Asynchronous programming is one of the up-and-coming trends in the software development world as it allows one to run code blocks separately and address issues quicker and more efficiently. Python, as well as Go, supports this technique and facilitates faster bug detecting and fixing.

Large community

In Go vs Python, the latter is a much more mature language that has successfully created a huge community of enthusiasts and contributors who play a major role in language development. On top of that, many active developers are ready to share their tips and experience on platforms like GitHub, which shortens the learning curve for beginners.

The cons of using Python



When we discuss programming languages speed comparison, Python is not a winner. Being an interpreted script language, Python is behind compiled languages like C or C++. In the language speed comparison between Go vs. Python, Python takes longer to translate code and slows down the development process.

Lack of mobile development support

Although it is versatile and can be used for mobile development, many companies believe that Python is weak in this department. If you are working on a mobile application, Python should not make your shortlist of technologies.


When it comes to memory-intensive applications, Python is not the best choice. Its diversity of data types, unfortunately, puts a constraint on memory.

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GO vs Python: Which one should you choose for your project?

The advantages and disadvantages of Go vs. Python are sufficient to have the first impression of what these languages are about. However, what is the Go language used for and when should you choose it over Python? If you have a Machine Learning project, should you pick Golang or Python? In this part, we will conduct a thorough Go against Python comparison to establish which technology would suit your next project best.

go vs python


Detailed comparison of Go vs Python programming languages

Which technology gets the most points in Python vs Golang performance, speed, community, and so on?



When we talk about performance, we usually mean performance at runtime. Multiple tests show that Go runs up to 30 times faster than Python. Thanks to Go’s support for concurrency, it executes calculations significantly faster compared to Python.
Go vs Python performance: Golang wins.


What Golang is good for is delivering fast and frequent deployment of server-side scripts. This is due to its high-performance concurrency and parallelism. Especially for systems programming, Golang takes the lead when it comes to programming language speed comparison.
Google Go vs Python speed: Golang wins.


Again, excellent concurrency and parallelism allow Go-based solutions to expand and shrink. Since it was developed by Google and for Google, it was built to scale up and down with the company’s needs. Python lacks the multi-threading capability and concurrency which makes it less scalable.
Python vs Go scalability: Golang wins


Having been on the market for 30 years, Python has attracted many users and companies. This large community of supporters actively contributes with modules, packages, libraries, and success stories. Go is a relatively new technology that lacks this support and is only in the process of building a strong community around itself.
Golang vs Python libraries: Python wins.


Python has a wide variety of libraries and frameworks that accelerate and simplify the software development process. Django and Flask are to name a few frameworks that are actively used for web development and allow developers to build applications in a shorter time. Golang does not have a single ingrained framework that is used for Go-based projects.
Python vs Golang frameworks: Python wins.


Python is an ideal choice for prototyping due to its dynamic nature. Even if you don’t know exactly how it works, having basic knowledge would be enough to quickly build a prototype and raise necessary funds for future development. Go is static which makes it stricter when it comes to compilation. You will not get by with just basics, even if you are building a simple prototype.
Go language vs Python prototyping: Python wins.

Machine Learning

Choosing Golang for Machine Learning is one of the popular options among the tech community. Although Python is still in the lead, Go’s high performance and speed entices many developers to choose it for their next project. Building Machine Learning with Go is a valid decision, however, the lack of frameworks in the Golang community drives many developers towards Python.
Go vs Python for Machine Learning: Python wins.

Web development

First of all, Go requires more coding which makes the process longer and more error-prone. Secondly, Python has a bigger choice of mature frameworks for web development. However, Go has one valid advantage - as it is a statically typed language, it detects errors early on, unlike Python that catches mistakes at runtime.
Go vs Python for web development: Python wins.

Deep Learning

Golang for Deep Learning poses the same risks as Machine Learning development does. The lack of external frameworks that developers are familiar and comfortable with usually puts them off. However, there are AI-affiliated internal frameworks like GoLearn, Goml, and Hector that make Go more appealing for Deep Learning and Machine Learning purposes.
Go vs Python for Deep Learning: no clear winner

Data science

Python is still the number one language when it comes to data science and analytics. It's great ecosystem was built and extended with more and more libraries and frameworks that support math, AI, distributed processions, statistics, etc. Go has been making progress in AI-related technologies, however, Go for data science still lacks maturity and community support.
Go vs Python for Data Science: Python wins


Companies that have gone through Golang adoption: Google, Uber, Twitch, Dailymotion, Dropbox, SoundCloud, and others. Companies that work with Python: Google, Facebook, Instagram, Spotify, Quora, Netflix, Dropbox, and others.

Go vs Python:  Which one is best?

So, Go or Python? What is Golang used for and when do you use Python? This question cannot be answered without taking into account the specifics of the project. Python is the go-to language for data analytics, AI-driven projects, Deep Learning, and web development. Considering Python vs. other languages, it shines in these fields due to a large number of frameworks and libraries that support the development.

Why use Go programming language? Go’s strong side is systems programming. Its support for concurrency allows developers to utilize cloud computing and the built-in libraries facilitate fast and smooth web development.

In the end, considering the young age of Golang, comparing Go vs. Python is not very fair. In just ten years, Go has managed to attract a number of large companies and create a small but supportive community. Even though Python is still the number one choice for data science, Machine Learning, etc., Go can also be used for these purposes.

Go is highly versatile and can be applied for a wide range of industries. For example, Golang is used by the content publishing company Medium to scale their database, CI/CD pipeline tools for Kubernetes, and eCommerce applications with a large volume of traffic. Python is also an all-around language and widely used for gaming, complex enterprise applications, eLearning platforms, and so on. Anywhere you need a language that can handle large amounts of data and advanced visualization, Python is for you.

Summing up

There is a lot to unpack when it comes to languages like Go or Python. They both have weaknesses and strengths and can fit one project well and fail in another. Golang is good for high-performance, fast speed, and excellent scalability options. Even though in the Go vs. Python performance comparison, Python is behind, it has a huge variety of libraries and a dedicated community that contributes to it on a regular basis.

If you are still interested in Go vs. Python and would like to learn more, you can contact DOIT Software. We are a software development company that can offer Go or Python consulting as well as answer any of your questions associated with the software development process. We will elaborate on what Go programming language is good for and when you should use Python. With years of experience, we have acquired enough expertise to advise you on your next project and help you make the right decision.

Our portfolio goes way beyond these two technologies and we are ready to assist you with Go vs. Java, Go vs. Python vs. Node.js, and other languages. Besides collaborating with us on your project, you can utilize our staff augmentation hiring model and extend your in-house team with any missing professionals. This approach allows you to hire one or several Python or Go developers for the duration of your project and not have to renew the collaboration afterward.

Frequently Asked Questions

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Is Golang better than Python?

If we consider Golang vs. Python in performance and speed, then yes, Golang shows better results. On the other hand, Python has a larger community and more supportive tools such as libraries.

Can Golang replace Python?

At the moment, Golang is missing some benefits that Python provides, such as a huge variety of libraries, so no, it cannot fully replace Python. Additionally, Python allows developers to build quick and simple prototypes which cannot be achieved with Go.

How much faster is Golang than Python?

It depends on the use case, however, some research shows that Go can be 40 times faster than Python, which is very impressive.

Is Golang going to overpower Python?

The progress that Golang made in the last decade is truly impressive. Python did not gain this much traction in its first decade of existence. However, it does not take away Python’s advantages, such as versatility, libraries for AI, and data science development.

Does Golang have a future?

Golang most definitely has a bright future ahead of it. More and more big companies are starting to realize its power and advantages and using Go for their projects.

CTO @ DOIT Software
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