Go vs Python

Go’s rising popularity is due to its strengths, but how is it comparable to Python, the leading and widespread programming language?

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Zawwad Ul Sami
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Python stands out as the most preferred language among programmers. It captures about 28% market usage, compared to Java’s 17% according to recent surveys. Although not as widely used, Go, also known as Golong, is catching up due to specific benefits that developers can explore through resources like Google Trends API, which shows increasing interest in this language.

Comparing Go to Python shows big differences. Both are user-friendly for beginners. Yet they serve unique needs and goals.

Breaking Down Python and Go

Python Simplified

Python started in 1991 but wasn’t always as popular as it is today. Back in 2017, it was still behind three other languages. Its popularity rose due to its rich library resources and data analysis capabilities. Python is known for:

  • Its simplicity, making it ideal for new programmers.
  • Clarity in code, lacking complicated symbols, which aids new coders.
  • The ability to blend with other languages.
  • Versatility across different hardware with the same interface.
  • A strong presence in artificial intelligence and data processing fields.
  • Support for user interface creation through libraries like Tkinter and PyQt5.
  • A wealth of libraries, saving time for developers.
  • The code can integrate with other languages easily.
  • Being open-source, making it accessible without cost.

Understanding Golang

Go, a more recent language from 2009, was developed by Google primarily for backend services. However, its use goes beyond Google’s original scope. It’s specific because:

  • It was made during the time of the cloud era with modern challenges in mind.
  • It suits microservice structures well.
  • Go programs compile into single binaries, skipping the need for complex setups.
  • It’s straightforward and cleaner than many languages.
  • Known for being faster in speed than Python, sometimes by large margins.
  • Useful in container technologies like Docker.
  • It supports existing programming efficiently.
  • Though it has fewer libraries than Python, they are mighty and suited for specific tasks.

While it has fewer libraries than Python, those available are powerful and suited for specific tasks, much like the tailored solutions provided by Google's SERP API.

Analyzing the Strengths and Weaknesses

Python’s Advantages

  • Friendly for beginners.
  • Broad range of libraries.
  • Long-standing community support.
  • Easier learning curve compared to other technical languages.
  • Supports various programming paradigms.
  • Less coding required.

Go's Strength

  • Faster than Python in speed, comparable to C++ or Java.
  • Shares common ground with C# and C++, making some skills transferable.
  • Efficient in handling multiple tasks at once.
  • Demands less memory and CPU resources.
  • Increasingly sought after by employers.
  • Superior in handling existing tasks.
  • Efficient CPU and memory usage tools.

Speed and Scalability

Python lags behind Go in terms of execution speed. For instance, in benchmarks, Go consistently performs Python. This difference is mainly because Go is statically typed, meaning it doesn't identify variable types at every step, unlike Python.

In web scraping, Go often doubles Python efficiency. Its libraries and existing programming capabilities make it a strong candidate for such tasks.

When it comes to scaling applications, Go’s lightweight nature makes it a more adaptable choice compared to Python.

Machine Learning and Final Thoughts

Python is the go-to for machine learning due to its simplicity and library variety. However, Go presents a viable alternative, especially where performance are concerned

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While Python excels in versatility and ease of learning, making it ideal for machine learning as outlined by resources like Google Scholar API, Go stands out for performance and efficiency, especially in back-end services and areas requiring high speed and resource efficiency.


Choosing between Python and Go isn’t black and white. Each has its unique advantages suited to different project needs. While Python excels in versatility and ease of learning, Go stands out in performance and efficiency. Ultimately, your project’s specific requirements will guide your choice. Neither is set to completely overtake the other, but Go is carving out its niche, especially in areas requiring high speed, efficient resource use, and scalability.