Python vs. C++: Key dif­fer­ences and uses

Python and C++ are among the most popular pro­gram­ming languages in the world. Find out more about their ad­van­tages and dis­ad­van­tages in our com­par­i­son.

Python vs. C++: Two strong con­tenders in the world of pro­gram­ming

Whether you’ve only just begun to learn pro­gram­ming or have been using different languages for quite some time, sooner or later you’ll come across Python and C++. The two are among the best-known and most widely used pro­gram­ming languages and have been inspiring their re­spec­tive com­mu­ni­ties for decades. While fans would certainly find numerous arguments for the language of their choice, neutral observers wonder which option is better. We compare the two and explain their strengths and weak­ness­es.

Before we compare Python and C++, however, it’s worth taking a closer look at the two pro­gram­ming languages and the ad­van­tages and dis­ad­van­tages of each one.

What are the pros and cons of Python?

Python is an in­ter­pret­ed high-level pro­gram­ming language that was created by Dutch developer Guido van Rossum in 1991. Today, the open-source language is main­tained by the Python Software Foun­da­tion and is available for free. Python runs on all major operating systems and is platform in­de­pen­dent. The focus is on creating a syntax that’s clear and as short as possible. Python is used in sting op­er­a­tions, websites, web ap­pli­ca­tions and software de­vel­op­ment.

Ad­van­tages of Python

• Learning curve: The focus on simple and easy-to-un­der­stand code means that Python is easier to learn than most other pro­gram­ming languages. Even newcomers ex­pe­ri­ence quick learning success and are able to write their first lines of code fairly quickly. To get started, we recommend going through our com­pre­hen­sive Python tutorial.
• User-friend­li­ness: Python is renowned for its user-friend­li­ness, offering an easy-to-learn codebase that fa­cil­i­tates rapid com­pre­hen­sion of external projects. Its logically struc­tured syntax requires minimal dialects, enabling col­lab­o­ra­tive work without requiring extensive training be­fore­hand.
• Open Source: Python’s enduring success is rooted in its com­mit­ment to the open-source phi­los­o­phy. As a free and open-source pro­gram­ming language, Python fosters wide­spread adoption, fueling con­tin­u­ous de­vel­op­ment and adap­ta­tions by a diverse community of con­trib­u­tors.
• Flex­i­bil­i­ty: Python stands out as an ex­cep­tion­al­ly flexible language on multiple fronts. Firstly, its ver­sa­til­i­ty extends to its wide range of ap­pli­ca­tions, making it a practical and sensible solution for diverse projects. Secondly, Python’s platform in­de­pen­dence ensures maximum porta­bil­i­ty, enabling seamless execution across various operating systems. Lastly, its com­pat­i­bil­i­ty with numerous other languages fa­cil­i­tates ef­fort­less in­te­gra­tion, sim­pli­fy­ing the de­vel­op­ment process and fostering in­ter­op­er­abil­i­ty.
• Community: Python’s vast and dedicated community offers tremen­dous ad­van­tages for newcomers. Access to extensive libraries and com­pre­hen­sive doc­u­men­ta­tion enables targeted ap­proach­es to new projects or problem-solving. The community further provides valuable support, assisting with inquiries and swiftly iden­ti­fy­ing and resolving any bugs that users encounter.
• Users: Python has gained sig­nif­i­cant traction among numerous prominent tech companies, many of which rely on the language either partially or entirely for their op­er­a­tions. For example, notable industry leaders like Google and Mozilla use Python.

Dis­ad­van­tages of Python

• Speed: Python can have per­for­mance dis­ad­van­tages compared to some other pro­gram­ming languages, es­pe­cial­ly for large and complex ap­pli­ca­tions. Although new packages have been developed to address this issue, some other languages still tend to exhibit better per­for­mance in terms of speed.
• Mobile Devices: While Python excels in the domains of desktop and server ap­pli­ca­tions, its per­for­mance in the mobile space has room for im­prove­ment. Mobile apps are rarely written with the pro­gram­ming language.
• Memory con­sump­tion: Python’s rel­a­tive­ly high memory con­sump­tion is one of its major drawbacks, par­tic­u­lar­ly for memory-intensive projects. In such scenarios, al­ter­na­tive pro­gram­ming languages often offer better choices and more efficient memory uti­liza­tion.
• Runtime errors: As a dy­nam­i­cal­ly-typed language, Python poses a higher risk of errors, which may only become apparent during runtime. In order to detect and address issues, thorough testing is needed.
• Learning other languages: Python focuses on the es­sen­tials, which can make the switch to other languages that are more complex somewhat difficult. Starting with a more intricate language first will make it easier to learn other languages.

What are the pros and cons of C++?

C++ is an object-oriented pro­gram­ming language that was created by Bjarne Strous­trup in 1979. It orig­i­nat­ed as an extension of C and is commonly employed in low-level pro­gram­ming, such as virtual machines, drivers and operating systems. With a concise set of keywords, C++ enjoys wide­spread pop­u­lar­i­ty globally. The language in­cor­po­rates func­tion­al­i­ties through the C++ standard library and is highly suitable for diverse platforms. However, it’s important to consider the following ad­van­tages and dis­ad­van­tages of C++.

Ad­van­tages of C++

• Ver­sa­til­i­ty: C++ is a highly versatile pro­gram­ming language with a wide range of ap­pli­ca­tions. Beyond its usage in operating systems, drivers and virtual machines, it is also commonly employed in diverse fields such as game de­vel­op­ment and security systems.
• Learning other languages: Despite its com­plex­i­ty, C++ can serve as a ben­e­fi­cial entry point for in­ex­pe­ri­enced de­vel­op­ers. Mastering the logical structure of C++ provides a solid foun­da­tion that fa­cil­i­tates the learning of other languages. Once de­vel­op­ers in­ter­nal­ize the concepts and prin­ci­ples of C++, tran­si­tion­ing to other languages becomes more man­age­able.
• Porta­bil­i­ty: C++ is platform in­de­pen­dent, ensuring excellent porta­bil­i­ty. Code de­vel­op­ment remains in­de­pen­dent of operating systems, allowing for seamless switching between platforms.
• Memory con­sump­tion: C++ exhibits low memory con­sump­tion due to its minimal ab­strac­tion from the un­der­ly­ing ar­chi­tec­ture. It also elim­i­nates the need for in­ter­me­di­aries and separate runtime en­vi­ron­ments. With no garbage col­lec­tion, memory man­age­ment is entirely in the hands of the pro­gram­mer, enabling the release of complete memory blocks when required.
• Scal­a­bil­i­ty: C++ is highly flexible and scalable, making it ef­fort­less to begin with a small project and in­cre­men­tal­ly expand it over time.
• Community: C++ boasts a large and sup­port­ive community, offering guidance and as­sis­tance to newcomers. The language also benefits from extensive doc­u­men­ta­tion resources.

Dis­ad­van­tages of C++

• Learning curve: C++ has a steeper learning curve compared to languages like Python. While the effort pays off and aids in learning other languages, beginners may find it initially chal­leng­ing and encounter pitfalls. While the syntax is straight­for­ward at first glance, the language comes with its own set of stumbling blocks. You can find out more about the structure and chal­lenges of the syntax in our C++ tutorial.
• User-friend­li­ness: The syntax of C++ can be error-prone and un­for­giv­ing, leading to user frus­tra­tion. A longer lead time is often required before writing code or tackling projects. Even ex­pe­ri­enced users may require multiple attempts to suc­cess­ful­ly initiate a project in C++.
• Security: Coding errors not only result in software bugs but also serve as potential entry points for hackers.
• No Garbage Collector: C++ does not au­to­mat­i­cal­ly filter un­nec­es­sary data, offering memory flex­i­bil­i­ty but po­ten­tial­ly in­tro­duc­ing confusion into projects.

What are the dif­fer­ence between Python and C++?

Now that you have a general idea of the two pro­gram­ming languages, let’s delve into a direct com­par­i­son of Python and C++. Below we’ll highlight the main dif­fer­ences between the two pro­gram­ming languages.

Dif­fer­ences in syntax

When it comes to syntax, there are sig­nif­i­cant dif­fer­ences between Python and C++. Python uses in­den­ta­tions, while C++ relies on semi­colons and curly braces for de­lim­i­ta­tion. Python offers more options for Boolean ex­pres­sions, while C++ only in­ter­prets values that cor­re­spond to 0 as false. Ad­di­tion­al­ly, in C++, variables are needed to specify values with a storage location. Python, on the other hand, treats every­thing as an object.

The following two examples il­lus­trate the syntactic dif­fer­ences of Python and C++. Here’s the syntax of Python:

>>> print("This is the python syntax")

And here’s what C++ syntax looks like:

int main() {
cout << "This is the C++-syntax";
return 0;
}

Other dif­fer­ences

There are plenty more dif­fer­ences between the two:

• Learning curve: Python is easier to learn than C++ and has more flexible and concise code. In contrast, C++ demands closer attention, as mistakes are swiftly penalized.
• Per­for­mance: C++ out­per­forms Python in terms of per­for­mance, making it ad­van­ta­geous for large projects. Python’s dynamic typing in­tro­duces overhead, resulting in slower execution compared to C++.
• Garbage Col­lec­tion: While Python supports garbage col­lec­tion, C++ does not.
• Memory Man­age­ment: As a result, Python has automatic memory man­age­ment. C++ must be managed manually, but it also offers more setting options.
• Des­ig­na­tion: In Python, data doesn’t need to be labeled by a variable, while C++ requires typing.
• Use: C++ is commonly employed in large-scale projects and low-level hardware pro­gram­ming. It is also well-suited for building extensive games. On the other hand, Python finds its strength in software de­vel­op­ment and web ap­pli­ca­tions. It is widely used in machine learning and ar­ti­fi­cial in­tel­li­gence.

Python vs. C++: Which language is better?

The Python vs. C++ duel lacks a clear winner, as the better choice depends on in­di­vid­ual pref­er­ences and project re­quire­ments. Python excels in quick learning and the rapid de­vel­op­ment of small programs. In contrast, C++ is suitable for large projects and exploring multiple languages, although it requires more time to master. With in­flu­en­tial companies like Google favoring Python and Netflix relying on C++, both languages are poised to have sig­nif­i­cant roles in the future.