If you want to become a data scientist, you may wonder if Python is better than C++ or vice versa. Python or C++ the first thing to keep in mind is there both of these programming languages have a lot of differences when it comes to overall approach, use, simplicity, and syntax. This is one of the primary reasons you may find it challenging to decide on a programming language to learn. Let’s find out more about this topic.
First of all, C++ is known as a general-purpose programming language like C. You may think Python is a general-purpose programming language, but the difference is that it is a high-level language. Therefore, coding in Python is relatively easier, and this is one of the primary reasons that this language is popular among developers, especially game developers.
Generally, Python is easy to understand for beginners. On the other hand, C++ is a low-level language that comes with more complications. Moreover, you may find that this programming language comes with a lot more Syntax rules. Plus there are many similarities between Python and the English language.
As far as the use cases are concerned, Python is ideal for data analysis and ML. By contrast, C++ is an ideal choice to develop games and large systems.
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Uses of Python
Python helps improve ML in several industries like business, aerospace, banking, retail, and insurance. Apart from this, ML is good if you want to get insights into a certain field to make predictions.
Python is the primary language of most data analysts, as it helps these professionals work on large-scale data in an effective way. In addition, Python helps manage a lot of data, enhance data visualization, and predict outcomes.
Also, Python is used for back-end development too. In case you don’t know, Django is a framework that helps you perform web development using Python. As a matter of fact, you can use raw Python to develop a simple website.
Another limitation of Python is that it does not help with front and development. But there is a way out. For example, you can turn Python code into JavaScript using a set of tools.
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C++
C++ is another general-purpose programming language. Therefore, data scientists use this programming language to develop complicated systems. As far as portability is considered, C++ is on top of the list. On the other hand, the code generated with Python is compatible with every operating system out there.
Another difference is that C++ source code has to be converted to machine code. On the other hand, Python uses another method for interpretation. And the code interpretation is slower than if the code is generated by C++.
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Where is C++ Used?
Now, let’s discuss some traditional applications of C++.
C++ is easy on the hardware systems. This is one of the reasons C++ helps produce today’s embedded systems. These systems include IoT sensors, medical machines, and smartwatches, to name a few.
This coding language help create several applications for microcontroller apps and servers.
C++ is an ideal choice for different types of multiplayer and 3D games. As a matter of fact, it’s powerful enough to develop big games like Red Dead Redemption, Doom, and CounterStrike. You will be amazed to know that even Unity is developed using the C++ language.
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Main Differences
Given below is the description of the primary differences between the two languages with respect to general programming rules and syntax.
C++ depends on semicolons and brackets to make the code work. By contrast, Python is user-friendly as it doesn’t require strict programming rules. Primarily, it depends upon the code indentation, which means that each indentation level helps create the code structure.
Python doesn’t use a semicolon. Instead, the end of the line is considered the end of the statement. The backlash sign is used for the continuation of the statement to several lines. By contrast, C++ uses a semicolon for the end of the statement.
In both of these languages, there are different Boolean expressions. The numeric value decides if C++ returns true or false. In other words, the label 0 refers to false, while the rest of the numeric values represent true. Apart from this, there are other possibilities with Python, such as false represents none and false constants.
In C++, variables feature a type like an int or a float as this is a statistical programming language. Another feature of Python is dynamic typing, which means you don’t have the reveal the object type. In other words, Python is a flexible language.
- Python and C++ use single and multiple inheritances
- In Python, you can handle memory but indirectly unlike C++
In Python, memory management is automatic, which is called a garbage collector. On the other hand, there is no such feature in C++. Therefore, there is a manual system of memory management.
In Python, there is a dictionary to store values that a key index. By contrast, C++ uses a map to serve the same purpose. However, the dictionary in Python offers more flexibility. The reason is that the values and the keys are different types.
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One major advantage of Python is that it’s easy for C++ programmers. In fact, the simple conventions in Python are easy to master in a short period of time. Therefore, you don’t need to spend a lot of time as the learning curve is pretty simple.
By contrast, Python programmers may find it more challenging to learn C++ as they have to do a lot of research. However, if you have learned Python, there is no reason why you can’t learn C++. All you need to do is be dedicated and determined throughout the learning process.
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