Dot Net vs Python:
Which technology is Better For Your Business and Why?

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In the early years of the 21st century dot net was the first choice among developers. There were more opportunities in dot net development like none other but nowadays marketspace is majorly controlled by Python developers. So is it over for dot net in the near future or is it still a big player in the programming world?

Here, with the help of this article, you will get to know which technology is best for your business or software development agency and whether you should choose dot net or Python to make a bigger impact.

Big brands like Microsoft, Starbucks, Accenture, etc use dot net and brands like Google, Quora, Instagram, YouTube, etc use Python for app development and updates.

Introduction & Overview of Python and dot net

Even though Python is much older than dot net, it is used more often in modern technologies like Data Science, Artificial Intelligence, Machine Learning, Robotics, etc.

At the same time, .NET is not a programming language like Python. It is a vast framework that supports many programming languages like C#, Python, JavaScript, F#, Visual Basic, etc.

Python and dot net are widely used as both of them provide fast development with less complex codes. The concept of OOP (Object Oriented Programming) is also supported by both.

Every language and framework has key features that make them user-friendly and easy to use. Here are some of the key features for Python and dot net:

Key Features of Python

The most used language in modern technologies has several features that make it unique, here are some of them:

  • Open-source library

    Python is developed under an open-source license and supports structural, functional, and OOP programming. The extensive and rich library functions in Python also make it unique.

  • User-friendly

    Python language is easy to code, read, and port as it is a dynamically typed language. The simplicity in the syntax also makes it easy to code.

  • Automatic Garbage Collection

    Python has an automatic garbage collection mechanism. Without manually deleting unwanted objects, it frees up space that is no longer in use.

  • Extensive library functions

    A solid standard library and function that are compatible with cross-platforms. It is portable on various OS like Windows, macOS, UNIX, etc.

  • Supports GUI

    It supports GUI and is used in GUI-based desktop applications. The GUI toolkits like Tkinter help in cross-platform applications and technologies.

Key Features of dot net

This open-source platform develops various sorts of applications with the help of libraries to build libraries for the web, games, and more. Here are some key features that make it unique:

  • Interoperability

    Almost every application requires communication between new and old versions of applications. Dot net framework is used to access functions implemented in newer and older versions and the code is executed outside its environment.

  • Portable

    Dot net was created by Microsoft and it never implemented a full framework on any system other than Windows. The cross-platform availability of the framework is available for other OS as well which makes it compatible enough to be used on other platforms.

  • Type safety

    It is enforced by CLR (Common Language Runtime Engine) in dot net. This feature is very helpful in memory size complexions in a system.

  • Language-Independent

    The dot net is not limited to one language. The CTS (Common Type System) is used for every possible language construct and data type. This feature helps in the exchange of types and object instances between libraries written in dot net.

  • Libraries

    A strong ecosystem is used for functionality. NuGet is a package manager that has more than 100k packages built and used in dotnet.

  • Security

    Dot net framework has a security mechanism with code access security and verification. In addition to that, there are plenty of third-party tools that are helpful in security in coding with dotnet.

  • Performance

    Dot net framework compiles the code on launching of the application and caches the program into dot net native cache. Additionally, tools like Native image Generator are used to speed up the compilation process.

Advantages & Disadvantages of Python and dot net

No matter what language you choose, there are pros and cons for everything. You need to choose the most suitable technologies for your business. Here are some of the key advantages and disadvantages of Python and dot net:

Python
.Net
Pros Cons Pros Cons
Python allows developers to work on new technologies as it is very flexible for developers. There can be runtime errors in a Python program after it has completed interpretation because in many cases, errors go undetected by the interpreter. The code compilation in dot net is faster and it gives high productivity. The OOP approach in dot net is very helpful but the entity framework in it lacks flexibility and does not support various database designs.
It is an interpreted language with rich open-source library functions. Python codes consume high memory and when there are large amounts of objects in RAM, the issue of memory leaking may arise. Code stability is higher compared to other languages and memory management is also way better in dot net. There can be program stability problems and code transition problems in a few cases, especially in newer versions.
Efficiency of the code and rich framework availability makes it unique. The slow execution speed makes it not suitable for mobile app development. The regular updates and patches from its creator Microsoft is also helpful in keeping dot net attack free. Although dot net has garbage collection, memory leaking is still one of the issues with dot net.
Dynamic typing and the presence of third-party modules are one of the major reasons developers prefer Python.   Activities like file management, network security and access support socket programming and HTTP communication. This helps in finding the appropriate protocol for a business motive. Vendor control is one of the big concerns in this technology as dot net development decisions are made by Microsoft.

Comparison: .net vs Python

Here is a head-to-head comparison between Python and dot net:

Technology Dot net Python
Primary Operating System Windows Windows, Linux, macOS
Performance High Medium
Security High Medium
Supports of Database Stable Less Stable
Based Frameworks .NET core, .NET Razor, .NET MVC Django, Flask, Bottle
Applications Web development, Data Science, AI, ML Backend Windows services, IoT, Web applications

Both Python and dot net have great integrity features and rich libraries. A business model needs to keep all things in consideration before choosing one out of these two.

Why dot net is better than Python?

Here are some of the points and on basis of which, dot net can be given priority over Python:

  • While Python is the most powerful language in ML, AI, and data analysis, dot net is the first choice for scalable and robust enterprise applications.
  • JIT compilation in dot net results in better performance on a program. It is now available on Python as well, but it is preferred on dot net.
  • Language Integrated Query (LINQ), asynchronous programming, generics, etc are some of the modern language constructs that make dot net developers productive.
  • Since dot net is a framework from Microsoft, there is better access to all GUI functions and libraries with a smooth Windows integration.
  • With the larger community and open source projects, Python extends more community support than dot net. At the same time, .net is preferred as the core of this has quality features that help in optimization of the program and overall productivity. Visual Studio Code IDE in .net core offers features with the help of an extension manager.

Conclusion

Both Python and dot net are used widely and have a huge marketplace. With great capabilities and integrity, you can choose the best for your business by looking at every aspect of dot net and Python.

Choose one of the most in-demand skills as there are enough companies worldwide that hire Python developers London, Bangalore, California, and any other part of the world.

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