Advanced Python Features

Hidden Python Features that Beginners should Know

Learning is always a new way to explore. Similarly, when you are learning a new language, you will unravel some hidden features. And the same rule applies to the Python language too. Python has grabbed the attentionof many developers across the globe. Because Python is easy to understand course in pune, express, and explore. Amidst this, there are many hidden Python features that very few experts are aware of!

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

1. 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.

2. Pandas_ml

Pandas is one of the most notable machine learning libraries that is written in Python. This library is meant for data analysis and manipulation. Moreover, it is handy as it combines some of the best and reliable libraries of Python into one whole package. Thus, making it easy to use and implement.

3. Slice assignment

Now you have a list. But you have to replace multiple members in the list with a single assignment. What will you do? That’s when slice assignment comes to your rescue. Only with a single line, Python helps you replace a region in a list with whatever you want to add.

4. Formatting of code using Black

What if you get a chance to review your code faster and in an efficient way? That’s when Black – an automatic code formatter for Python, steps in. One of the coolest Python unknown tricks is the formatters wherein you write a code as per your style. And Black formats it, thus expediting the whole process of code review.

5. Python debugger

Several times, we get stuck onto some errors and exert extensive time solving them. Further, turning all our efforts futile. The solution is unknown, but our efforts are all wasted. And that’s when you must use The Python debugger to make your task simple. The Python Debugger helps to review the code line by line without any hassle. Thus, making it one of the best features of Python.

6. 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.

7. 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.

8. 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 negative indexing of arrays. So, -1 should be the last element and -2 the second last one.

9. 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.

10. Hassle-free swapping of variables

Python helps in decluttering difficult tasks. For example, you have two variables but need to swap the values of these two variables. Then what will you do? Create a temporary variable manually while the other values swap. This technique isn’t faulty, but some might find it lengthy. Instead, Python helps in swapping without having a temporary variable.

A = 15
B = 20
A, B = B, A
print(“Value of A:”, A)
print(“Value of B:”, B)

The output would be:

Value of A: 20
Value of B: 15

In this example, after the operation is complete Python deletes the temporary variable in the background itself. Thus, helping in creating efficient and crisp code.

So, these were some of Python’s specific features that we tried covering in this article. But there are many, and the list may go on. And if you wish to explore that list, then enroll in Python training in Pune.

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Related Readings: Python Benefits, Tips & More for Absolute Beginners.