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Python vs C++ – What are the differences?

Python and C++ are two independent programming languages, each with its own set of characteristics and behaviours. Object-oriented programming is well supported in both of these languages.

The dispute between Python and C++ is fascinating since the two programming languages are quite different in terms of syntax, ease of use, and overall programming style. As a result, people have a hard time deciding which programming language to learn.

Python vs C++ - What are the differences

What is C++?

C++ is a general-purpose programming language that is frequently used in the construction of big and complex systems. Out of the entire circle of programming languages, this one is the most portable.

Job roles in C++

Because of its great reliability, efficiency, and adaptability, C++ is still in high demand in 2021. Candidates with an extensive understanding of C and C++ programming have bright prospects and several options.

  • Junior programmers
  • Software Developer
  • C++ Developer
  • Quality Analyst
  • C++ Analyst
  • C++ Programmer
  • Programming Architect
  • Database Developer

C++ Course Fees

Being one of the popular programming languages, C++ training can help you get skilled and proficient in the domain. The C++ Course fees generally start from 66.38 USD to 265.53 USD (5,000 INR to 20,000 IN) as per the level of training you choose.

How much does a C++ developer earn?

  • As per Indeed.com, a C++ Developer Salary in India per year is INR 7,41,176.
  • The average base salary for a C++ Developer in the US is $117,187 per annum.
  • The C++ Developer salary in the UK per year is £62646.

What is Python?

Python is a general-purpose programming language that emphasises readability as its primary feature. It was introduced by Guido van Rossum in 1991. Python is also an interpreted language, which means that the Python code is not transformed to machine-readable at runtime.

Job roles in Python

Python is a simple and easy-to-understand programming language. Python may be used to simplify and automate routine processes in everything from multibillion-dollar tech companies to little scripts. Some people may be apprehensive about the work chances that Python provides for programmers.

Python Course Fee

Python Course fee can range anywhere between 159.23 USD to 464.42 USD (12,000 INR to 35,000 INR) Datamites offers a variety of learning choices, including Exclusive Python Classroom Training, Online Python Courses, and Outstanding Recorded Sessions. The cost of a DataMites Python course in the United States ranges from 133.23 USD to 456.20 USD, depending on your desired learning method. In Europe, the Python Course Fee ranges from 117.88 Euros to 412.60 Euros, whereas in India, the Python Course Fee ranges from INR 10,000 to INR 35,000.

How much does a Python Developer get paid?

  • In the United States, the national average salary for a Python Developer is $96,890 on a yearly basis.
  • In European countries, the average salary for a Python Developer is 85806.27 EUR annually.
  • The Python Developer salary in India is INR 4,23,620 per annum.

Differences between Python and C++

  • Nature

C++ is a general-purpose compiled programming language derived from the C computer language. Despite being general-purpose, Python is a high-level scripted language, which means Python code is straightforward to read and understand.

  • Applicability

C++ has a lot of features, but it’s also got a complicated syntax. It is not as straightforward as it appears to write C++ code. Python is easy to learn and use, with basic syntax. As a result, writing Python programmes is far less difficult than writing C++ programmes.

  • Effectiveness

C++ code is harder to manage because as solutions gets bigger, it becomes more difficult to decipher. Python, on the other hand, has a simple syntax and well-organized code. The source code of Python is easier to maintain.

  • Speed of Execution

C++ applications are quicker when it comes to performance speed. In fact, C++ is well-known and commonly utilised in programmes that must run quickly, such as gaming platforms.

Whereas, Python is a sluggish language. Python programmes are also slower than Java programmes. As a result, we use Python only for applications that can afford to be slow.

  • Performance

We have fewer runtime errors to deal with because C++ is a statically typed language. C++ also generates more reliable and faster runtime code. That being said, C++ is a performance-oriented programming language.
Because Python is dynamic, it’s possible that some errors or undesirable situations will happen during runtime. So far, Python falls behind C++ in terms of performance.
Python, on the other hand, has the upper hand when it comes to machine learning.

  • Popularity

When compared to C++, which becomes more difficult as we progress through its features, Python is simple to learn and put into practice. Python also has packages that allow us to develop any functionality, including data analysis and machine learning.
As a result, Python has surpassed C++ in popularity. It is the programming language of choice for many programmers, especially for the development of machine learning applications.

  • Usability and simplicity

Python’s simplicity and ease of use allow us to write short, easily legible code, among other things. Because we are not fighting with a programming language, this is advantageous for constructing complex machine learning systems.
Second, Python is a simple and easy-to-learn programming language. In contrast, C++ cannot be described in the same way. C++ is a lower-level programming language that is easier to understand by computers than it is for humans.

  • Difficult

Indeed, Python is the easiest language to learn. Python is simpler to read and comprehend, making it easier to get started programming straight away. C++ programmers may easily transition to other programming languages like Java or C#However, Python programmers may find even the transition to JavaScript challenges.

  • Job Outlook

The good news is that both C++ and Python programmers should have no trouble finding work.
While there is no central collection of C++ and Python employment, job marketplaces can be used to make comparisons. Indeed has 80,000 C++ job openings as of 2021. In comparison, there are 203,000 Python job openings.
Employers are hiring in considerably bigger numbers for Python positions than they are for C++ jobs. C++ appears to be “on its way out” for many people – it’s an older language that is losing market share to younger languages as time goes on.

Conclusion

So, which is better: Python or C++? Python and C++ are both powerful general-purpose languages with a thriving market. Both will teach you the fundamentals of programming and computer logic, and they’re not as unlike as they appear.

Python is a more user-friendly language: there are numerous jobs available, and the language is evolving. C++ is a more difficult language to learn, but it is also more efficient!

DataMites Python Certification Courses can be the right choice for you to gain expertise in the realm. Enroll for our Python Certification Training and kickstart your career with python skills!
Watch –

Python v/s C++ language – What is the Difference? – Pros and Cons

About Data Science Team

DataMites Team publishes articles on Data Science, Machine Learning, and Artificial Intelligence periodically. These articles are meant for Data Science aspirants (Beginners) and for those who are experts in the field. It highlights the latest industry trends that will help keep you updated on the job opportunities, salaries and demand statistics for the professionals in the field. You can share your opinion in the comments section. Datamites Institute provides industry-oriented courses on Data Science, Artificial Intelligence and Machine Learning. Some of the courses include Python for data science, Machine learning expert, Artificial Intelligence Expert, Statistics for data science, Artificial Intelligence Engineer, Data Mining, Deep Learning, Tableau Foundation, Time Series Foundation, Model deployment (Flask-API) etc.

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