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Kat Holder
Kat Holder

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What Makes Python Best Programming Language For Microservices?

Python has become one of the most popular programming languages in the world and it shows no signs of slowing down. It’s used by startups, big companies like Google, and even NASA to build software and other applications.

People look for Python as a good option for Micro-services because of the following reasons:

  1. Python is a versatile language that can be used for a wide variety of tasks, including microservices.
  2. Python is easy to learn and use, making it a good choice for those who are new to programming.
  3. Python has a large and active community that can provide support and resources.
  4. Python is well-suited for building microservices due to its simple syntax and powerful libraries.
  5. Python can run on multiple platforms, making it a good choice for cross-platform development.
  6. Python has a number of features that make it an ideal choice for developing microservices, such as its support for asynchronous programming and its ability to handle high levels of concurrency.

The question remains: Why? What makes Python so special? In this article, we will discuss how Python is becoming the language of choice when building microservices thanks to its syntax and other language features that make it extremely versatile and easy to use when compared to other programming languages like C++ or Java. Let’s get started.

The Top 5 Reasons Why Python is the Best Language for Microservices

Let us look at the Top 5 Reasons Why python should be the best optional language for Microservices:
Flexibility

One of the reasons why Python is so popular is its flexibility. It can be used for a wide range of purposes, from web development to scientific computing. This makes it a great choice for businesses that want to use microservices, as it can be easily adapted to fit their needs. I

**It's open-source: **Another reason why Python is such a good option for business owners looking to implement microservices is that it's an open-source language. The more people who use and develop it, the better and more powerful it becomes!

Interoperability: In addition to being open-source, another reason that Python is an excellent choice for microservice developers is that it offers interoperability with other languages like C++ and Java.

Python can also be mixed with these languages in order to create more advanced applications with less coding time. With this kind of flexibility, you won't have to worry about your application scaling up or becoming outdated any time soon.

Cost: Along with all the benefits of using Python for your next project, there are some additional perks that make it cost-effective as well.

For example, according to studies conducted by Stack Overflow and W3Techs, Python is one of the most commonly taught programming languages in universities around the world - meaning that many coders are already familiar with how to write code in this language - making it easier on them when working on your project too!

Popularity: Another factor that may sway you towards using Python for your next software project is its popularity within the programming community at large.

Modularity

Modularity is one of the main reasons why Python is the best language for microservices. When building a microservice, you want to be able to break your code down into small, manageable pieces. This way, if one piece breaks, it doesn't take down the whole system.
And with Python's modularity, it's easy to do just that. The following example shows how simple it is to create a module in Python:

Mkdirp = lambda p: os.path.normpath(os.path.join(p, os.pardir))
Module1 = mkdirp
Module2 = mkdirp() Module3 = mkdirp()
Module4 = mkdirp()
FileName = module.py # Name the file you are creating here

With these four modules created, we can now import them into our script and use them as needed! If we wanted to make these modules available to other scripts, all we would need to do is export them using the 'from module import' syntax.

*We can even rename the modules or put them inside different directories without affecting their functionality!
*

Here's an example below of what importing our modules looks like:

Importing mkdirp from module1,

importing mkdirp from module2,
importing mkdirp from module3,

and finally importing mkdirp from module4 gives us the ability to call on any of those functions at any time. Having this level of control over which parts are imported makes it really easy to scale a single function up into multiple independent functions, or vice versa.

For example, say you have a function that takes five minutes to complete; but then later decide that you only need part of its functionality- maybe one minute out of five- importing this function could be really cumbersome. You could end up having five copies of the same function sitting around doing nothing when they could have been used elsewhere.

Open-Source Support

Open-source support is one of the main reasons why developers choose Python for microservices. The language has a huge community of developers who contribute to its development and maintenance. This means that there are always people working on improving Python and fixing any bugs that might pop up.

Additionally, this community support makes it easy to find answers to any questions you might have about programming in Python. They will often provide resources that can help get you started as well as more advanced tutorials and other educational materials.

In addition, because Python is an open-source language, anyone with an internet connection can download it for free without having to worry about paying monthly fees or subscribing to expensive licenses.

Portability: One of the best things about using Python for your microservices is that you don't need to worry about the portability of your code. One way that many other languages make their code portable is by compiling their programs into machine code (bytecode) so they can be executed by software written in other languages.

However, when using Python, you can create compiled bytecode files from your scripts which allows them to run on different platforms like Windows or Mac OS X systems. As long as the bytecode format matches between the two systems, you should be able to use the same script file on both operating systems.

Simplicity: Using Python also simplifies coding and debugging tasks when creating microservices because its syntax is relatively simple compared to other programming languages. It doesn't require much time or effort to learn how to write effective code in Python either.

For instance, if you know how to use one programming language then you will be able to pick up the basics of Python quickly and start writing useful scripts. It's great for beginners because it's so user-friendly yet powerful enough for experienced programmers too.

There are several introductory books on the subject including Python Programming Fundamentals by John Zelle or Think Like A Computer Scientist by Allen Downey that would be helpful for beginners wanting to learn how to program in Python.

An Extensive Ecosystem

Python has an extensive ecosystem that makes it easy to find the right tools and libraries for your project. This means that you can get started quickly and don't have to waste time reinventing the wheel.

It also ensures that most of the best practices are available out of the box. And lastly, as a general-purpose language, you are able to build just about anything with Python because there's such a wide range of libraries and frameworks available for use in any given project.

For example, while Node.js may be the preferred option for building microservices, it isn't always the ideal choice. In this situation, you could instead choose to use Django (Python web framework) or Flask (Python microframework) depending on what type of application needs to be built.

With these options, you'll be able to do everything from rapid prototyping to high-volume production without having to switch languages mid-project.

Easy To Read and Write

The readability of Python is often cited as one of its greatest advantages. This quality makes it a great language for beginners and experienced developers alike. Additionally, because Python is so easy to read, it's also easy to write.

This combination of factors makes Python an ideal language for microservices. It is widely used in both data analytics and machine learning. In fact, Google uses Python extensively for all their software development needs including Gmail and YouTube.

Other companies that use Python include Twitter, Yahoo!, Disney Interactive Media Group, Pixar Animation Studios, JPL (Jet Propulsion Laboratory), Industrial Light & Magic, Tencent Games, and LinkedIn.

There are many reasons why companies use Python for their projects - like how it is extensible and has a built-in toolkit called batteries included. That's why many people agree that Python is the best programming language for microservices!

Conclusion

Python developers are continuously making improvements to this language, so it never gets old. With all these reasons why Python is the best language for microservices, we hope you'll consider using this programming language in your next project!
Now that you've learned about all the awesome benefits of using Python, give our platform a try today and create your first web app in minutes. You can develop apps without any code or coding skills at all thanks to our easy-to-use platform.
We'd love to see what you create on our platform and hear from other coders on which language they think is best!

Top comments (1)

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joelbonetr profile image
JoelBonetR • Edited on

Why?

I mean, you could pick ML instead and get your path trough libs support on Python which would be true.

Instead you pick a premise that is wrong "Python is the Best Programming Language For Microservices" and proceed to detail it.

Let's compare it with JavaScript, because both Python and JS are scripting languages and both have core similarities (i.e. in both "everything is an object", both are dynamically typed languages (you can get static through TS, Flow or others in JS and Type Hints in Python) and so on).

Between Nodejs vs Python performance, Node is way more efficient than Python and also faster in the major part of escenarios.

Node.js is best for memory-intensive activities while Python is better in CPU-intensive activities.

Also JS ecosystem is waay greater than Python's one.

On the other hand, portability statement is picked from the wrong side. What makes a programming language product (a file, compiled or not) portable is not the language itself. It's the engines/interpreters available for that "product" on a given environment.
No winners here neither. You can code in Python in servers, a raspberry pi... the same way you can do it using JavaScript or a bunch of other options. It's all about someone picking the interpreter, engine or whatever and adapting it to run on a different platform.

Simplicity this is quite subjective, even that let's assume it's true. This is also applicable to any scripting language. But remember that being able to code few lines or a script to perform a couple of actions doesn't make you a Master in that language/environment. Learning the entire core API and the nuances of the language requires effort and years.

Interoperability This is apllicable to almost any programming language, from JavaScript to C, through C# and others. Python does not provide any special benefit on that AFAIK.

TLDR; Every single point defined here (except for the pre-compile to bytecode thingy) can be applied to JS and JS has a bonus benefit on being the only code a browser will understand.

Either way we're talking about microservices and here, there's no tech to rule them all.
Honestly I'd rather pick Go or Java for CPU intensive operations, Node (JavaScript) if I need to handle a big bunch of requests at the same time and so on.

Every microservice has it's needs and in each specific use case the answer about "what's the best language for that" will be different.

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