Difference between Python & C++ | C++ vs Python
Basic of python and C++
Python is a flexible, object-oriented, and open source programming language designed to optimize development speed and make it easy to write software that can be understood, reused, and modified. It is specifically designed to raise development quality expectations in the scripting domain. It is also one of the most preferred choices as a first programming language. C++ was created as an extension of C and its core application domain is systems programming in the broadest sense. C++ is a general purpose programming language which is best suited for resource-constrained applications, such as those found in software infrastructures.
Nature Of Python And C++
Python is a dynamically typed language which looks like it was designed and not accumulated. It has a minimalist design that makes code easy to understand and easy to predict. In fact, Python is both dynamically typed and strongly typed language in which type checking is done at run-time and variables cannot be implicitly coerced to unrelated types. C++, on the other hand, is a statically typed language in which variable types are explicitly declared and are determined at compile time. Static typed languages like C++ associate types with variables, not with values.
Efficiency
Python’s standard implementation is currently coded in C, so all the normal rules about mixing C programs with C++ programs apply to the Python interpreter. When Python is embedded in a C++ program, there are no special rules to follow – simply link in the Python library and call its functions from C++. Python is well suited for modern software methodologies such as modular, structured, and object-oriented design, which allow code to be written once and reused many times. C++ is a low level language which makes it less versatile and more difficult to learn than Python.
Memory Management
Python uses dynamic memory allocation process which involves a private heap containing all Python objects and data structures and the garbage collector automatically returns memory to the system when it’s no longer been in use. The inbuilt garbage collection system ensures efficient memory management. C++, on the other hand, does not need a garbage collector because it has no garbage which in turn makes it more prone to memory leak. Memory management in C++ is both prone to errors and time consuming. The difference is a tradeoff between performance and safety.
Head to Head Comparison between Python & C++
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So no.
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Python
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C++
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1).
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· Python
uses Garbage Collection.
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· C++
does not using Garbage Collection.
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2).
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· Python
is a dynamically typed language.
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· C++ is a
statically typed language.
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3).
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· Python is
run through an interpreter.
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· C++
is pre-compiled.
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4).
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· While
writing code in Python, a user doesn’t need to mention the type of data
before using it, consequently making the length of the code shorter and
easier to maintain. For example, in C++, a user must declare int a=5 whereas
in Python a=5 is sufficient.
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· In
C++, the developer needs to declare data type before using it. Therefore, it
is less ambiguous regarding what the codes do, and error handling becomes
easier than python.
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5).
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· Python
is known for its simplicity, easy to read concerning code and recognized as
one of the high-level programming languages. Python consists of inbuilt
constructs which have the feature of executing clear code on small as well as
large scale. Python is an object-oriented programming language.
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· C++
is also called an intermediate-level programming language as it is developed
using both low-level and high-level language features. C++ also
supports object-oriented functionalities like the concept of
classes, operator overloading, multiple inheritances, virtual functions,
exception handling etc.
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6).
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· C++,
these days, is generally used for designing hardware. It is first described
in C++ followed by its analysis, architecturally constrained and planned to
develop a register-transfer level hardware description language.
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· Python
is used as a scripting language, and at times it is also used for the
non-scripting purpose. Also, Python has a standalone executable application
with the help of some existing tools.
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7).
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· It
is easier to learn and write code is python than c++.
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· It
is less versatile and more difficult to learn than python
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8).
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· Rapid
prototype is possible due to small size of code.
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· Rapid
prototype is not possible due to large size of code.
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9).
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· Python is
hard to install on a Windows box and thus makes distribution of the program
problematic.
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· No
difficult to install in window box
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10).
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· Variable
are accessible even outside the loop.
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· Variable
scope is limited to within the loop
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11).
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· Easier
to maintain, object-oriented and simple to use.
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· Less
clean and manageable in comparison to python
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C++
- Introduction of C++ || Definition of C++
- Brief history of C++ || history of C++
- Features of C++ || why we use C++ || concept of C++
- Concept of OOP || What is OOP || Object oriented programming language
- Difference Between OOP And POP || Different Between C and C++
- Characteristics of C++
- Interesting fact about C++ || Top 10 interesting fact about C++
- C++ Program Structure
- Writing first program in C++ || how to write hello world in C++
- Basic Data Type And Variable In C++
- Identifier in C++
- Keywords in C++
- Token in C++
- Comment in C++
- Constant in C++
- Modifier in C++
- Taking User Input in C++ | User input in C++
- Input Output Operator In C++
- C++ Operators | Operator in programming language
- How to Add two number in C++
- Polymorphism in C++
- Compile Time Polymorphism in C++
- Function overloading in C++
- Operator Overloading in C++
- What are Control Structures in C++ || Understanding Control Structures in C++ | How to use if, else, switch
- What are Functions and Recursion in C++ | How to Defining and Calling Functions
- Class in C++
- Object in C++