Before starting any project, choosing a language to code in, is every programmer’s dilemma. It is generally between Python or Golang. Both have their own pros and cons, so choosing the correct one is always a gamble.
Also, if you decide to write your code in Golang, it might be a bit challenging to get other coders for Golang. This is because Golang is relatively new to the market, and it is rare to get efficient coders in this language.
However, ever since the development of Go, programmers cannot seem to get enough of it. Way before Go, Python was the easiest language to learn and code in, but now, Go is way simpler to learn and execute.
Both of them vary drastically in their performance, scalability, applications, readability etc. We will discuss all the important aspects of both languages.
First, let us start the comparison by getting a rough idea on the two languages:
Python, created by Dutch programmer Guido Van Rossum, was introduced to the market in the year 1991. It was developed as a general-purpose programming language, which is a fancy way of saying that it be used for anything.
Python is an interpreted language; this means that the code is not translated to a computer-readable format. This is also known as the scripting language, which does not need to be translated. This was one of the main reasons why Python gained so much popularity.
Golang, which is famously known as Go, is a language that was developed by Google in 2009. Robert Griesemer, Rob Pike, and Ken Thompson wanted to create a language loosely based on the syntax of C and eradicate the extra not so useful languages like C++.
Thus, Go ended up having many features of different modern languages, such as method and operator overloading, pointer arithmetic, and type inheritance. So Go ended being a simplistically typed language with a new and powerful library that had unmatched performance and speed!
Now, let us check out the differences between Golang and Python:
When we talk about performance, there are many factors that weigh in. But by making both the languages solve complex equations can give us a brief idea about the memory used and time taken to compile.Golang has a concurrency model that is faster than almost all the models of different languages out there. While Golang has a quicker approach to any problem and it functions much more efficiently, Python has resource-demanding Python threads, which makes it perfect for Machine Learning.
Golang uses isolated goroutines, which saves the memory of the CPU. As a result, this approach leads to a considerably faster performance and helps reduce costs and resources.
Making any scalable application is extremely rare and is truly considered as a work of art. If things are not scaled, then they will only give losses to your business. When Golang was developed, the creators kept everything in their minds.The primary purpose of Golang was to help developers at Google solve major problems and complex situations. These problems basically involve millions of programmers working on a very large server software.
Thus, Golang possesses an inbuilt support for concurrent process channeling, i.e. concurrency. Python, on the other hand, has a tough time with concurrency but can implement parallelism through its thread system.
When we think about the syntax or readability of any of the languages, then we can easily conclude that Python has the upper hand here. Python is one of the easiest languages to learn and work with when it comes to readability, but that might be a problem in one way.Since Python is so simplistically designed for people who do not need much knowledge about any other language like JAVA or C++, it might be too simple. What I am trying to say is that they have almost 7-10 different ways of doing one thing. This might be a good thing, but when you work with a team, then it just gets confusing.
On the other hand, Go has stringent rules when it comes to programming. It doesn’t allow you to import unnecessary libraries or create too many variables. This only shows that there are definite ways to perform a task which leads to a better understanding of the code amongst large groups.
Golang’s syntax is a bit less friendly to beginners, but it’s not as tedious as C or C++.
Libraries are like a secret gift to developers because it makes their lives much easier. That’s why having a good library for a programming language is important. Here, Python definitely gets points, only because of its insane libraries.Python has packages like Numpy that help developers with functions like array handling and complex matrix solving. Tensorflow and Scikit Learn for Deep Learning, OpenCV for image processing, Pandas for Data Analysis, matplotlib for visualization, and much more are also included.
At the same time, Go has pretty decent libraries too. During its development, Google made sure to choose the most important libraries as a part of their inbuilt Go libraries. While the number may not be as close to Python, it certainly covers all the necessary needs.
When it comes to execution, comparing these two languages becomes a bit tricky. This is because Python is a dynamically typed language, whereas Golang is a statically typed language. Python uses an interpreter and Golang uses a compiler.To compare these two, let’s talk about how they work.
Any statically typed language is one where the variable types are declared explicitly for the compiler, so you might find trivial bugs. While in a dynamically typed language, a type inference is implemented by the interpreter, so some bugs might still be there, due to the interpreter interpreting something wrong.
Basically, Python being a dynamically typed language, kind of limits the programmer when he/she intends to build a really big programme. while Go can handle both types of programmes with ease and skill.
This is another on the fence judgment. This is because every language is created for a particular purpose. Like how JAVA was created for web development. Similarly, Python was created to be applicable in the field of data analytics, artificial intelligence, deep learning, and web development. This is only because of their state of the art library. Because of their large range of functions in the libraries, many of these data analytical applications are possible.Golang is mostly used for systems programming. Because of its support for concurrency, it is also used in the cloud computing or cluster computing field. Golang has also been appreciated for its use in web development due to enormous and easy to use libraries, which allow you to build a web server in no time.
Well, to sum it up, both Python and Go have their own purposes and merits when it comes to the programmer’s skill and ability to understand the real-world. With regard to readability and syntax, both Python and Golang are known to reduce the burden of any programmer.
Both of these languages can be easily installed without any hassle in any operating system, which brings out one of its cross-platform features. Python’s applications vary from a vast range of visualization applications like web development, animation, graphics, and machine learning. It is mainly used in data analytics, due to its state of the art libraries for scientific computing.
But when it comes to networking services, Go has the upper hand. It has evolved from being a system language to a great tool of advancement in networking services.
However, if you have learned computer science fundamentals like algorithms, data structures, and pseudocode, then using a language like Python would be quite easy for you. It resembles pseudocode, and thus makes it much easier to learn.
Go, on the other hand, is extremely fast, easier to write and comes along with Go doc to automatically generate documentation. This gives a whole new definition to programming and paves the way for a new era of coding languages.
Major companies like BBC, Uber Medium, Intel and Basecamp have chosen Golang over Python. Also, who knows, in the near future Golang might become the most popular language.