Due to its speed and security, rust It is the new language that is winning popularity. Despite the popularity of this language, it has also earned the label of being difficult to learn, an idea that is not entirely true.
In this article, we will cover some of the language quirks that will be new to a Python developer.
RUST language features
For the programmer, your primary language is Python, concepts like basic memory management and typing may initially slow down your ability to quickly write Rust code, as you will encounter problems in the compiler.
This initial problem can be quickly overcome by learning the rules around Rust features, such as variable property, useful life, etc., since it is a very safe and memory efficient language. Therefore, we need to keep track of our variables, as they are usually deleted instantly when they go out of scope.
Like all languages, Rust has basic syntax concepts, since it is a systems language, in a certain way. similar to C++: fast, difficult to learn, dangerous and slow to program. But it has great advantages, since with the rise of big data, our need to learn faster languages to meet our needs is increasing. This is where languages like Golang and Rust come in. These languages are memory safe, and when compiled have very significant speed increases.
What makes Rust unique is that has managed to achieve memory safety without garbage collection. Garbage collection causes the program to stop temporarily; checking all variables to see which ones are no longer being used and removing those that are not. Considering this language doesn't have to do this, it doesn't have to stop to clear variables.
We can use Python for prototyping and complex logic. The huge number of third-party libraries available for Python along with the flexible object-oriented programming it supports make it a near-perfect language for solving problems quickly. However, it is slow and not efficient with the use of resources and that is where Rust comes in.
The Rust language is more restrictive in the way we can design and structure the code; but, it is fast, secure and efficient when implementing “multithreading”.
The combination of the two languages allows a Python developer to have a powerful tool to speed up code. The time investment required to learn it and merge your code with Python is low. All we need to do is package Rust and install it on our Python system using pip and understand some quirks and differences.
