10 Hidden Python Tips and Tricks for Experienced Developers

As an experienced Python developer, you've probably already mastered the basics of the language and are looking for ways to take your skills to the next level. In this blog post, we'll explore 10 hidden tips and tricks that can help you become a more efficient and effective Python programmer.

We are listing down our top 10 picks of helpful and yet unknown tips my most coders.

1. Use list comprehension for concise code

Top 10 Python Tips and Tricks

List comprehension is a powerful tool in Python that allows you to create a new list based on an existing one in a single line of code. It's a great way to write concise, readable code and can be especially useful for filtering or transforming data. For example, instead of writing a for loop to double each element in a list, you could use list comprehension to do it in one line:

2. Use the "zip" function to iterate over multiple lists

The "zip" function allows you to iterate over multiple lists at the same time. This can be especially useful when you need to perform some operation on corresponding elements of each list. For example, you could use zip to add together the elements of two lists element-by-element:

3. Use the "enumerate" function to loop over a list and get the index

The "enumerate" function allows you to loop over a list and get the index of each element at the same time. This can be especially useful when you need to perform some operation on each element based on its position in the list. For example, you could use enumerate to print out a list of items with their corresponding index:

The output prints:

0 apple

1 banana

2 orange

4. Use the "defaultdict" from the "collections" module to avoid KeyError exceptions

The "defaultdict" class from the "collections" module is a subclass of the built-in "dict" class that allows you to specify a default value for keys that don't exist in the dictionary. This can be especially useful for avoiding KeyError exceptions when working with dictionaries. For example, you could use a defaultdict to count the number of occurrences of each item in a list:

5. Use the "*" operator to unpack items in a list or tuple

The "*" operator allows you to unpack the items in a list or tuple and pass them as separate arguments to a function or method. This can be especially useful when you need to pass a list or tuple of items to a function that expects separate arguments. For example, you could use the "*" operator to pass a list of numbers to the "range" function:

6. Use the "**" operator to unpack items in a dictionary

Similar to the "*" operator, the "**" operator allows you to unpack the items in a dictionary and pass them as separate keyword arguments to a function or method. This can be especially useful when you need to pass a dictionary of items to a function that expects keyword arguments. For example, you could use the "**" operator to pass a dictionary of arguments to the "print" function:

7. Use the "join" method to concatenate strings efficiently

The "join" method is a more efficient way to concatenate strings than using the "+" operator. This is because the "join" method only creates a new string object once, whereas the "+" operator creates a new object for each concatenation. For example, you could use the "join" method to concatenate a list of strings into a single string:

8. Use the "in" operator to check membership in a container

The "in" operator allows you to check whether an item is a member of a container, such as a list or a dictionary. This can be especially useful for performing a quick membership check without the need to write a loop. For example, you could use the "in" operator to check if a value is in a list:

9. Use the "is" operator to check identity

The "is" operator allows you to check whether two variables refer to the same object in memory. This can be especially useful for comparing objects that are mutable, such as lists or dictionaries, which can't be compared using the "==" operator. For example, you could use the "is" operator to check if two variables refer to the same list:

10. Use the @ operator to apply matrix multiplication to two-dimensional arrays

You can use the @ operator to apply matrix multiplication to two-dimensional arrays. This operator was introduced in Python 3.5 and is a convenient shortcut for using the dot function from the numpy library.

That is All Folks ! Enjoy Coding !