Python is a backend high-level programming language that gain a noteworthy attention nowadays from both the academia and business. Python is a very adaptive and loosely typed language often used in web development, ML modeling, and backend server-side operations. World giants such as Google, Pinterest, and Spotify used this programming language in their development. The chips of this language have allowed it to become one of the most popular and sought-after programming languages. Let’s look at some of the most exciting features, collected by Python development experts.
Pandas is a toolkit for cleaning, analyzing, and processing data. In pair with NumPy library it provides the developers with effective control of large arrays. It interacts perfectly with other data science modules. We use it after receiving all the necessary data and then included in all distributions ending with the distribution of suppliers.
Unpacking is a unique Python function that throws an error when the arguments are in the same list, while the function can accept separate arguments. It is a great feature that allows you to make the code more readable and user-friendly.
As the coding continues, it becomes more and more challenging to identify errors. The program is getting bulky. It is where Black comes into play, which not only allows you to recognize the Python coding standards violations but also allows you to correct these errors. It significantly saves both time and effort, although it requires the abandonment of manual regulation.
It’s OK for Python developers to change the values of variables. In this case, programmers use a third temporary variable, an additional one, that stores values to swap them. However, Python is superior here because it allows you to change the values of two variables without the third temporary variable.
Developers often face such a problem as long library names. Here in Python, the programmers can set their own library name using the key “as”. It makes coding more convenient.
All programming languages use indexing in arrays. In this regard, Python is no different. However, Peyton (a Python library) allows you to perform negative indexing. It means that users can denote array values using negative numbers. It is crucial because you can easily call the values at the end of the array.
If you like to use emotions in your code, then Python gives you this opportunity. With the help of the “emoji.emojize” function, the user can give out various emojis in the output.
Sometimes it gets boring to write codes. However, in Python, you can cheer yourself up using Easter eggs. Yes, they happen not only in movies, but they can also be in program code. You can leave some messages in the middle of the code as a joke for people who can read the code.
Making mistakes in code is not a rare situation. Therefore, the debugging process requires a careful approach. However, it becomes difficult to find errors in the bulk code. Here Python debuggers come to the rescue, which use special algorithms to find the mistakes. For example, the Sentry debugger finds errors and gives thorough feedback on them.
In many programming languages, like Java, comparisons are very limited. For example, the expression 14>5 will give us a True. However, if there is an expression 14>5>3, then the result of the first comparison will be True, but then the comparison will be True>3, and the program will give an error. Python saves the value so the program’s output will be True.
These were ten unique finds of Python, of which there are quite a few. It is these findings that make Python so popular on the market. They can be of great benefit when used properly.
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