Golang vs Python: Which One to Choose for AI Development? 

Today AI has gone beyond core software and hardware development, becoming an integral part of the various industries. eCommerce, healthcare, logistics, real estate, media & entertainment are critical sectors that have adopted this technology massively. However, AI gives us a lot more to discuss and debate, but today in this post, we will discuss programming languages, which suits AI development the best.

When it comes to choosing programming languages for AI development, Python and Golang have fierce competition. Today millions of users around the world use Golang or Python for machine learning and AI. 

Python and Golang (Go) language serve different purposes; on one end, where Python is a primary language among data scientists, on the other side, Go is the server-side command. According to experts, Go is the best programming language for AI development. How? 

Let’s compare both the languages on some critical parameters and see who is the best among Golang Vs Python for sustainable web development

Golang vs Python: Which one to choose for AI development?

Undeniably, the internet is overpacked with lots of excellent programming languages. They are the strong pillars on which the complete application or software is built. Talking about the best from the rest, we are going to compare these competitive programming languages based on- 

  • Scalability
  • Performance
  • Error handling
  • Speed
  • Libraries & community support
  • Sharing
  • Learning

#1 Scalability: When it comes to scalability, Golang is more scalable than Python. The reason behind it is the concurrency. Go language comes with in-built concurrency, which makes it able to handle multiple tasks at the same time. However, Python also uses concurrency, but it is not in-built, but it can still implement parallelism through threads. If you plan to work with large data sets, then Golang will be the most suitable choice for your requirements.

Golang – 1, Python- 0

#2 Performance: In terms of performance, both languages give fierce competition to each other. But according to some experts, Golang is much faster than Python. Another factor where Python lacks in performance is the memory and CPU; it is not very friendly with them. Python performs well in basic development tasks, but when it comes to developing applications or software at a larger Scale, Golang wins the better performer title and thus we have witnessed why more and more clients are planning to hire Golang developers over Python.

Golang-1, Python- 0

#3 Error handling: Golang is for people who know how to code; it does not have any error-handling functionality. It means if there are any errors in the code, it requires a lot of time in debugging the entire code, which ultimately raises the time and money of the project. On the other hand, Python comes with IDEs that will help spot immediate errors in the Python code as it is written. 

Golang- 0, Python- 1

#4 Speed- When it comes to speed, Golang is the first choice. This programming language is meant to be fast. Google developed it to help developers solve problems in a quick turnaround time. It not only beats Python, but it beats Java as well, which is considered a faster language than Python. Math computation is like a cream puff for Go, suitable for large-scale projects. Whereas Python’s aim is not to speed, it faces issues with the memory and CPU. This language is more suitable for microservices software architectures.

Golang- 1, Python- 0

#5 Libraries: In libraries and community support, Python’s age gives it a significant advantage over the Go language. Python is 16 years older than Go, which means it has huge community support, extensive libraries, and learning stuff available around it. There are over 137,000 python libraries present today. Golang, on the other hand, is still in its developing phase. It does not have many libraries and community support. Go.pkg.dev is Golang’s standard library. 

Golang- 0, Python- 1

#6 Sharing: When it comes to sharing the codes and workflow charts, Pythons wins the race. Jupyter notebooks and Google Collab notebooks are the tools that make the Python code shareable. It allows python users to read and interactively execute code. With these tools, users also get a great reading and writing experience.  

On the other hand, sharing Golang’s code is very difficult, as it does not come with any workflow tools and charts that make the code get up and running. 

Golang- 0, Python- 1

#7 Learning: Programming languages are indeed designed in a way that can be easily understood even by beginners or intermediates. Python is considered one of the easiest programming languages for beginners to learn. But Golang’s comes with a more simple syntax, making this language highly simple and easy to understand. Golang is based on the C language, which means if you have hands-on experience in the C programming language, then Golang will not be a difficult language for you.

Golang- 1, Python- 0

#8 Applications: When it comes to writing codes for Artificial intelligence, deep learning, machine learning, data analytics, and web development, I have witnessed that clients prefer to  hire Python developers. The reason behind it is the vast number of libraries available. At the same time, Golang is much loved for system programming. Whether cloud computing or cluster computing applications, the Go language is the preferable choice you can make for your business. 

Golang- 0, Python- 1

#9 Code readability- Golang possesses strict rules and guidelines for its code readability. It prevents unnecessary libraries and frameworks, which keeps the code readability score better, consistent, and favorable. But when it comes to Python, code readability has become a point of consideration. Python also offers great readability, but doing things in multiple ways sometimes leads to great confusion and ultimately hampers the entire coding process. 

Golang- 1, Python- 0

So which one to select? Python Vs. Golang

We have seen a competitive analysis of both Golang and Python on several parameters. The clear winner is Golang. However, both the Go and Python languages are easy to learn and use. Carrying robust features and functionalities. Therefore, selecting one language for AI development is a bit tricky; on one end, where Python gives advantages in writing codes for AI applications, Golang has its own advantage of debugging these machine learning, deep learning applications. 

So, picking a language for AI development completely depends upon your business requirements. If you plan to create a project on a large scale, Go will be the best choice for you, and if your requirement is basic, then Python is the right partner for you. 

Still have doubts, which one to choose? Reach out to us; we will help you select the right programming language for your next AI development project. 

Author Bio: 

Chandresh Patel is a CEO, Agile coach and founder of Bacancy Technology. His truly entrepreneurial spirit, skillful expertise and extensive knowledge in the Agile software development services has helped the organisation to achieve new heights of success. Chandresh is fronting the organisation into global markets in a systematic, innovative and collaborative way to fulfill custom software development needs and provide optimum quality services.