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Table of contents
1.
Introduction
2.
Python
3.
Features of Python
4.
Benefits Of Python
5.
C#
6.
Features of C#
7.
Benefits Of C#
8.
Python vs. C#
9.
Frequently Asked Questions
9.1.
Q-1 Should you learn C# or Python?
9.2.
Q-2 What makes C# so much faster than Python?
9.3.
Q-3 Is C# a more powerful programming language than Python?
10.
Conclusion
Last Updated: Mar 27, 2024
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Python vs C#

Author Mayank Goyal
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Ashwin Goyal
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Introduction

Both are object-oriented programming languages, but C # is completely object-oriented. The language C # is statically compiled. It is a straightforward and modern language. The Microsoft Corporation is in charge of c #. Python is a scripting language that is high-level, interactive, and object-oriented. Python is designed to be as simple as possible. Python is a language that is dynamically interpreted. Python is mostly reliant on open source initiatives and community participation. Python excels at rapid development.

Both C# ('C-Sharp') and Python are object-oriented, high-level, and simple to learn and code languages. They are both very relevant languages in most sectors and offer rapid development and good performance.

So, if you have time to choose one, which is preferable: Python vs. C#? We'll examine and contrast both languages to discover why they're important and when they should be employed.

 

Python

Guido van Rossum made Python available in 1991. Python is a general-purpose, object-oriented programming language intended to succeed ABC. It was created by a single person and has been open-source for quite some time. Python code was also designed for readability with greater whitespace and an object-oriented approach.

Python lacks a compilation phase as well. The interpreter raises an exception, prints a stack trace, and feeds a source-level debugger because it's an interpreted language. Python is a great choice for rapid testing and debugging because of this. Python is a scripting language that is also dynamically typed.

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Features of Python

  • Dynamically Typed: Python is an interpreted language. This allows the dynamic typing feature to come along. It executes programming behaviour during the run time which is commonly performed by statically typed language at the time compilation.

 

  • Code Readability: Python has simpler syntax as compared to other object-oriented programming languages. It has a pseudo-code structure. It looks clean with no semicolons and brackets. It relies on indentation to describe the block of code.

 

  • Garbage Collection: Python has the feature of garbage collection which allows the programmer to get rid-off manual memory management.

 

  • Multiple-programming Paradigm: Programming paradigm is referred to as the execution model of the program depending upon the user requirement. Python supports both functional and object-oriented paradigm of programming. This gives it the flexibility to be used for various purposes.

Benefits Of Python

Simple to Understand, Read, and Write

Python is often recommended to newcomers as a good place to start because it is simple to understand, read, and write. In comparison to C/C++ and Java, you require fewer lines of code to do the same work. It offers a basic English-like syntax that simplifies coding.

Productive

Python developers spend less time building software due to its relative simplicity. There's no need to learn the syntax or figure out how the programming language works. Surprisingly, writing less code allows you to accomplish more.

Typed Dynamically

In Python, you don't have to define the variable type before assigning a value. Many other languages need a formal declaration of variables. However, Python does not know what type of variable it is until the code is run. Python is dynamically typed, reducing the time and effort required to develop software.

Free and open-source software

Python is free to use and distribute since it is licensed under an OSI-approved open-source license. You can change and share your Python version if you download the source code. This is useful when you need to tweak certain behavior and develop with a different Python version.

Libraries Assist

Python's extensive library contains all of the functions you'll need for your project. There's no need to hunt for them in other libraries that may or may not be free. The support of libraries allows you to create software that is only limited by your ideas.

Portability

Python eliminates the need to build separate code for multiple systems. You write it once and then run it almost anyplace. It significantly reduces development time.

 

C#

C# is a powerful language pronounced 'C-sharp' (like the musical note). Microsoft created it as a modern replacement for C and C++. As a result, C# has a comparable structure to earlier languages but with updated capabilities and a more gentle learning curve. C# is a high-level, structured, object-oriented, static (that is, statically typed) programming language. It can be built on a variety of platforms.

C# programs have a similar core structure to C++ programs: A namespace declaration, a class definition for variables and methods, and the main process are all included.

Features of C#

  • Multi-paradigm Language: C# supports multiple programming paradigms such as Structured, Imperative, Task-oriented, functional and Object-oriented programming.

 

  • Strong typing: A strongly typed language has strict typing rules. It is checked during compile time which shows errors and exceptions at compile time. C# is a strongly typed language.

 

  • Cross-Platform Support: Using Mono, a free and open-source project helps to develop cross-platform compiler and runtime environment for C# making it cross-platform compatible.

 

  • Standard Library: C# has a rich collection of community class and commercial libraries. Mostly built on the .NET framework to increase the application and functionality.

Benefits Of C#

It is both powerful and efficient.

Because C# is part of the C family of languages, it makes it easier to write efficient code, which improves runtime performance. Furthermore, this programming language is continually updated with new features and provides many tools to help developers improve their skills.

Object-oriented Language

Because C# is an object-oriented language, it simplifies maintenance, development, and debugging. A clear structure for the programs and full reusability of apps with less code and less time are all advantages over procedural programming.

Cross-platform

Many thanks, to.Net Core. C# is a cross-platform programming language developed by Net Core. Net Core is a free program that runs on all major operating systems, including Windows, Mac OS X, and Linux.

Open-source

Because it is open-source, the C# language is rapidly expanding. Numerous open and active communities promote language learning. On GitHub, you may find a plethora of open-source projects and tools.

C # is a type-safe language.

You can't use unsafe casts while developing your program in C#. Its compiler verifies that a programmer uses the correct kinds (a set of possible values). Otherwise, the compilation will fail. Furthermore, writing such secure code eliminates the risk of data loss during the conversion process.

Simple to Write

Many functions are simple to build with the C# programming language because of the extensive library. C# contains strict code, which means that apps written in the language are consistent.

 

Python vs. C#

Microsoft created C#, which is available for free, even for business use. The.NET ecosystem is open-source and controlled by the.NET Foundation, a non-profit organization, whereas Python is an open-source platform available for free, even for commercial use.
Object-oriented programming, structured programming, functional programming, and many more programming paradigms are supported by C#. Python supports various programming languages, including OOPs, structured programming, and many others.
The.NET SDK and runtime are required for C#. F#, VB.NET, JavaScript, Python, and more languages are interoperable with the.NET environment. Python can be used in conjunction with.NET C, JavaScript, and Java.
C# enables interactive interpreter development environments with Dotnet-interactive while predominantly a compiled language. In Jupyter notebooks, you may also write C#. Python has an interactive interpreter for program creation.

Because of the.NET Framework, multi-threading in C# is simple. Multi-threading in Python requires many processes due to the global interpreter lock.

There is a clear distinction between C# and Python regarding performance. Python is an interpreted language, whereas C# is a compiled language. Python's speed is significantly influenced by its interpreter, the most popular of which are CPython and PyPy. In most circumstances, though, C# is substantially faster. It can be up to 44 times faster than Python in some cases. This is due to various factors, including Python's trash collector and dictionary lookups. It's also because C# is a compiled language, which means it takes a little longer to write but runs faster.

Both C# and Python are general-purpose programming languages. They can be used for various purposes, including game creation and machine learning. But that doesn't mean they're equal in every way. The finest example of how they vary is machine learning. Python is the king of machine learning. Numpy, SciPy, TensorFlow, PyTorch, Apache Spark, Keras, and other Python libraries are available to machine learning programmers. Python has many videos, tutorials, and tried-and-true examples of functions, thanks to its gold status in machine learning. When it comes to machine learning in C#, you have ML.NET and some older libraries such as Accord.Net and TensorFlow bindings. Both C# and Python are supported by Microsoft's Cognitive Toolkit (CNTK). However, the Python API is significantly more developed. C# programmers have very limited options when it comes to this field. Popularity has its advantages, and as a more popular language for machine learning, Python has gained greater support.

Also see, Fibonacci Series in Python, Multithreading in Python

Frequently Asked Questions

Q-1 Should you learn C# or Python?

C# and Python are both high-level, object-oriented, and simple to learn programming languages. They ensure rapid growth and high performance. C#, on the other hand, is more organized and clear, and it runs significantly faster. Python is easier to understand and develop than C#, and it comes with a large set of standard libraries.

Q-2 What makes C# so much faster than Python?

C# is a compiled language that transforms to machine code that can be executed by a processor. No translator is required. C# code can execute up to 44 times faster than Python code in some instances. While PyPy's JIT compiler can considerably improve Python's performance, C# continues to lead in this area.

Q-3 Is C# a more powerful programming language than Python?

Python is an interpreted language, whereas C# is a compiled language. Python's speed is significantly influenced by its interpreter, the most popular of which are CPython and PyPy. In most circumstances, though, C# is substantially faster. It can be up to 44 times faster than Python in some cases.

Conclusion

Let us brief out the article. 

Firstly, we briefly saw both Python and C# and looked into the major differences. C# has a more ordered and obvious structure. The formatting rules and grammar are consistent, like in an OOP language. As a result, C# takes a little longer to learn and code. C# can also accomplish practically everything Python does, and it's a lot faster at runtime, thanks to all the extra effort you put into it.

Python is simple to understand (definitely simpler than C#) and simple to create. Python is often recommended as the first language to learn since it is so good at getting you into coding with good practices (and it lacks the phalanx of curly braces that we see in C#). Python also has a large set of standard libraries and is more user-friendly for machine learning.

Finally, both C# and Python are excellent programming languages, and choosing one over the other is not a mistake. Both languages are open source, with sophisticated tools, vibrant communities, and various frameworks and libraries. They're both useful in a wide range of programming fields. When it comes to user input, programming speed, and runtime performance, they each have their strengths and weaknesses. That's all from the article. I hope you all like it.

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