Hidden Python Features that Beginners should Know

Learning is always an unique path to take. Similar to this, you will uncover some hidden elements when learning a new language. The Python programming language is also subject to the same constraint. Worldwide, Python has attracted the interest of numerous developers. Python is simple to comprehend, express, and explore. Many hidden Python features exist among this, but only a small percentage of professionals are aware of them.

And if you are a newbie, then it is imperative to know Python features for beginners. Therefore, you must continue reading our article to know more about unknown Python features.

Top 10 Python Features Every Beginner Should Know

Here are the top 10 hidden python features to learn as a beginner: 

1. Pandas_ml

One of the most well-known Python machine learning libraries is Pandas. This library is designed for handling and analyzing data. It is also practical because it contains a number of the Python language’s greatest and most dependable libraries all in one place. Making it simple to utilize and put into practice.

2. List Comprehensions in Python

List comprehension is one of the strongest tools of Python. It helps in deriving one list from another with the help of a compact syntax. List comprehensions are very handy when you wish to filter items on the list or want to apply a function. Thus, making it one of the most important hidden Python features. 

3. Formatting of code using Black

What if you had the chance to review your code more quickly and effectively? Black, a Python automatic code formatter, enters the picture at that point. The formatters, which let you write code in accordance with your preferences, are one of the coolest Python techniques. And Black formats it, going to accelerate the code review procedure as a whole. 

4. Python debugger

We frequently become mired in some errors and spend a lot of time trying to fix them. making all of our efforts useless in the process. Although there may be a solution, none of our efforts will help. The Python debugger must then be used to simplify your task at that point. The Python Debugger makes it simple to review the code line by line. It is one of Python’s best features as a result.

5. Usage of emojis in code

Did you know that Python has a package wherein you can add emojis to your strings? Yes, you read it right! You may either use the emoji module or Unicode to include emojis.

6. Importing Data Science libraries

Several times, we tend to spend immense time on importing common libraries like seaborn or pandas. And importing them manually may become a tad tedious.

Therefore, to sail through this problem, there is a solution in the form of a pyforest library. This library is a boon and among the hidden Python features. It helps in working directly rather than importing separately.

7. Easy Value Swapping

Programmers make use of swapping of values of two variables in their everyday programming lives. Swapping of values of two variables is usually done with the assistance of a third variable, a temporary variable. This third variable allows the swapping of the other two variables. Meanwhile, Python enables programmers to conduct swapping without any temp variable.

8. Launch Web Server

Python’s hidden features are just as helpful as website support. For example, suppose you want to start a web server that will allow you to exchange files from your computer. A straightforward command would be useful for this. On any port, a web server will be started. If you want everything to work, you should set the port to be between 0 and 65353. There are extra parameters that you can look at. 

9. Negative indexing

One of the hidden Python features is that it supports negative indexing. We all are aware that indexes are used in arrays in all programming languages. And the elements in an array are accessed using these indexes. However, all programming languages deter from using negative indexes like ‘-2.’ But Python is an exception as it supports the negative indexing of arrays. So, -1 should be the last element, and -2 the second last one. 

10. Chaining Comparison operators

Comparing values using syntax is simple in many programming languages. For example:

A > B and A > D

Wouldn’t it be great to eliminate the ‘AND’ operator from the syntax? Fortunately, when it comes to Python, it allows using comparison operators one after the other as shown below.

A > B > C

And this is because of “Operator Precedence and Associativity.” It is used in the expression and helps when there are more than two operators but with different precedence. Further, helping to determine which operation to be performed first and foremost. 

Thank you for reading! Do you find those features interesting and useful? Leave a comment below! You can also sign up for my newsletter to receive updates on my new articles. 

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