Background on Golang and Python
Golang is a programming language that was created in 2008 by Google. It has been described as “a modern rewrite of the Go programming language which is intended for concurrent, statically typed, and compiled languages”.  It was created largely by Robert Griesemer, Rob Pike, and Ken Thompson, the original authors of the Go language.  These three began work on the new language in late 2007, with a spec first published in February 2008. The Go-lang project is a collection of projects that were started due to their shared interest in the language and goals.  Google officially announced the release of Go 1.0 on March 20, 2014. 
The language was designed to be less verbose and easier to work with than C, but to retain enough of the power of a compiled language. 
It combines features from C, C++ and Modula-3, but also uses ideas taken from languages such as Fortran and Lisp. 
The concurrency toolkit is called Channels, which was created by Robert Griesemer. 
Go’s design goals included:
To support library creation, for high performance without the use of just-in-time compilation.  
To be easy to use and have a broad range of applications.  
To be concise, with a small core language and many libraries.  
To be modern, with support for networked and multicore computing. 
To be portable, with tooling to support multiple operating systems and compilers.  
How they are both created and used
These two programming languages are both used for tackling different problems and are created with different purposes in mind. Python is a general-purpose programming language based on C, and was designed to make software development easy for human beings; it is often used for frontend web application programming. Golang is a compiled language written in Go that compiles to machines instructions that are fast, statically typed, and parallelizable – it’s meant to be the “workhorse” language of the Google platform.  Golang is used for backend, cloud services and for CLI but also for anything else that a programmer wants to do with it. 
The history of Python makes it clear why it is the way it is. Guido van Rossum started writing Python in the late 1980’s at CWI in Amsterdam. He wanted to have a language where everything was accessible, simple, and easy to read and understand, yet still powerful enough to make programming fun and easy.
So, with such a powerful programmer as Guido, Python was born and the rest is history.
The benefits of each language
Golang is considered to be a compiled language that utilizes static typing, meaning the type of a variable is determined at compile time. Python, on the other hand, is an interpreted language that uses dynamic typing: the type of a variable isn’t known until runtime.  This can make compiling and deploying Go code significantly faster than compiling and deploying Python code – compiling with Go compiles the entire program at once, so it can focus on doing just that, whereas Python must process each source file separately.  Go is said to have better performance than Python, although some people contest this. This could be due to the fact that Go has had more time to develop than Python, and its implementations are more advanced than those of Python.  Go has better performance in general since it allows the compiler to make smarter choices when writing a program. For example, it can know what subsets of data will not be used during compilation, and so it will not include them when generating the final assembly code.  This is unlike Python, where the compiler cannot know what will or will not be used during program execution. 
When to use Golang vs Python
Python is best used when quick and simple solutions are needed. It can handle large data sets, perform relatively fast computations, and process text quickly.  Golang, on the other hand, is geared toward applications that require speed and efficiency, particularly due to the language’s static typing nature – it also handles large data sets, performs at a higher level, and processes text quickly.
Python is best used when quick and simple solutions are needed. Python can handle large data sets, perform relatively fast computations, and process text quickly. Golang is geared toward applications that require speed and efficiency, particularly due to the language’s static typing nature – it also handles large data sets, performs at a higher level, and processes text quickly. 
As such, Golang would be the better language for a wider range of applications than Python.
However, Python is an open-source programming language that has a relatively low learning curve.  Golang, on the other hand, is the best-known and most actively supported of all the languages in this article. It has lots of online tutorials and documentation.
Golang isn’t quite as beginner-friendly as Python – it’s fairly easy to pick up but doesn’t have the same tooling and ecosystem as Python. It’s slightly more difficult to find information about new packages, compared to python libraries. (This isn’t a problem for more experienced developers who are familiar with Go.)
Comparison of the two languages
Golang Python Speed of coding* Compiled languages Statically-typed languages Fast processing Fast processing Large support of data sets Limited processing performance Large range of supported data values Parallel program execution No support for multiprocessor No support for multiprocessor Low-end portability Good portability Good cross-compatibility with other languages Low-end cross-compatibility with other languages
*Based on the results of our Golang vs Python performance assessment tool. For details see: https://www.go-lang.org/tools/benchmarks.html
The code: https://github.com/n1te/golangvspython [ARTICLE END]
Share the article on any Social Media and let it get more exposure.. Follow us on Twitter and Like Us on Facebook..
If you like this article then please share it with your friends. Also, don’t forget to subscribe us on Youtube.
Thanks for reading! Please use our social media buttons to tell your friends about this article and support it by sharing it with others. We have many more interesting articles are lined up so stay tuned with us and keep visiting KnowledgeHut [CX] .. Happy Learning!