When it comes to developing a website or application for your business, two available options are Rust and Python. The former is not as well-known but is quite effective when used. However, you can easily find a Python development company anywhere due to its high popularity.
This poses a serious question for the investor. Which technology is better and why? Rust or Python.
Python v/s Rust Comparison
Python and Rust are two technologies having completely different strengths. An investor must have a valid reason for picking one over the other. If not, you are compromising on a feature you really need!
Want to avoid your time and money going to waste? You must first identify your software requirements. Based on your needs, you can identify which technology outranks the other.
When choosing a technology, performance is a deciding factor. Your application will have a role to fulfill. Inability to do this leads to failure. Thus, making the right decision is a matter of making a good investment.
Python software development may be fast, but the software itself can be ‘slow’ at times. Depending on your project, speed may not matter. In that case, the other advantages of Python will overshadow this worry.
When considering Rust, there is no questioning the performance factor. It is much faster than Python!
Even though Rust has been around for over a decade, it is still not kind to new developers. The learning curve is quite steep and this will affect your project. In most cases, development commences in a day or two. But, if your developers are unfamiliar with Rust it could take a week or two to get used to it.
Meanwhile, Python web development is common and all developers are usually up to date with the working of this language. Plus, Python is a relatively simple language to comprehend. The English-like syntax will be appreciated by even experienced developers as it saves time!
It is clear Python triumphs over Rust in being easier to learn.
Rust specializes in security. It is what the technology is based upon. This programming language revolves around maintaining application safety by monitoring memory. To enforce security, Rust does not allow null pointers, racing pointers, and dangling pointers.
In other words, Rust is fast, effective, and very focused on fixing memory leak problems.
Python makes use of the garbage collector that requires a developer to allocate or deallocate memory in a flash! This is not very helpful all the time. Rust is definitely more secure.
Community and Popularity
Both technologies appear to be very popular among developers according to a survey conducted by Stack Overflow.
Some big names using Python are Spotify and Netflix while Rust gets Dropbox and Sentry. Both appear to be popular in their own way as each one has a leading reason for a company choosing it.
If assured security is your preference, use Rust. But if you need many libraries, go with Python development.
A clear picture is painted if you compare the Google trends graph for the two technologies! When entering both technologies in a search engine, double the amount of results for Rust is returned for Python.
If you are picking a technology according to popularity, Python definitely pulls a rank!
Machine Learning and Automation
In today’s world, machine learning is important as its use is bound to change the industry as we know it. Machine learning has the ability to eliminate the dependency to manually execute tiresome tasks that invite errors.
Python is capable of developing machine learning applications as well as web applications without difficulty. Actually, Python is the industry’s pick when it comes to developing machine learning software.
Machine learning and Rust do not make that great a pair. Want a library package that will lead to the development of the best automation software? Then look no further than Python.
Python is an object-oriented language that is dynamic and usually, people compare it to Java or Ruby. Python is so popular that it ranked second on Github as the most popular programming language.
Python is a capable language for developing robust applications because of its unique advantages. Python web application development is commonly used by developers because of the large library selection available to them.
Uses of Python
Python has a variety of uses and every business will find its fit with it. Seeing as it contains many libraries, you will find your fit.
All scientific research applications require robustness. This is because such applications need to manage and process large amounts of data in short periods. All of this with utmost accuracy and stability.
In most cases, large volumes of data are entered into applications with the goal of developing analytics. This helps businesses whose operations depend on the statistics and results of various tests. Python software development assures these results and more!
Python has an array of libraries scientists, mathematicians, and physicists will find relevant and efficient. Any business utilizing data for scientific reasons can exploit scientific Python libraries like NumPy or SciPy.
There is no better way to handle monotonous processes than to turn to automation. Instead of assigning valuable human resources to such tasks, creating a program that completes the task without monitoring is a better idea.
Instead of hiring an enormous software administration team, a business can simply turn to Python development. Developing the application from scratch allows you to customize it to specific requirements.
Large-scale businesses usually have enormous amounts of unprocessed data. This mammoth task requires a complex application that can process such data in the shortest time with precision.
Creating a data science application will not prove to be problematic with Custom Python development. There are over 70,000 libraries available in the Python Package Index catering to data science company requirements.
Developed by Mozilla Research, Rust was released in 2010. By 2020, it already claimed the most loved and wanted programming language spot in a Stack Overflow survey.
Rust is a high-level programming language in which security is the main feature. It enhances the language providing the capability to develop software that has improved memory safety. No more crashes and data jumps with the opportunity to control the memory lifecycle.
Uses of Rust
Rust finds many uses in finance and software development.
Blockchain technology is in basic terms a database that is used to store and record data. It is extremely difficult to penetrate blockchain technology, and it is widely used to record transactions in cryptocurrency.
Given the memory security and rapid performance of Rust, there is no questioning the role of Rust in blockchain technology.
Users interact with the front-end of a web application and they rarely have to deal with the back-end. But developers know these back-end components are what make the web application function optimally.
Rust enables the swift building of secure and stable web applications. Frameworks to use are Rocket, Tide, Actix-web, etc.
It is no wonder why Rust is a great addition to the development of applications and other operating systems. Rust allows the development of browser components, game engines, system files, and even simulation environments used in Virtual reality.
After comparing the two technologies, it is clear Python surpasses Rust in a range of features. If you want your application to be made with Python, finding a Python web development company will not be a difficult task. The right technology for you depends on the requirements of your project. There won’t be any disappointment when choosing Python.