Python - Useful Tips for Beginners

Some of the tips/tricks that every Python developer should know.

Featured on Hashnode

Subscribe to my newsletter and never miss my upcoming articles

Python ranked as the number 1 programming language as per PYPL - Popularity of Programming Language. Python is easy to learn, without putting too much pressure on the learner, it helps to get started with programming in the most friendly way possible with the use of concise and easy to read plain English like syntax, with powers like - dynamically typed variables, single-click execution with no worry about compiling code first - using it as your first language to do just anything and everything out there is definitely the right choice!

Here, we are going to discuss some of the tricks/tips that a beginner python learner should know and can get benefits out of that in his/her daily work routine.

Let's get started!


Python allows a significant improvement to the assignments of variables. One can simply assign several variables with each variable assigned in a single line using the = operator.

# Assign variable, 1 line at a time.

a = 1
b = 2
c = 3

But, little did we know, python allows developers to save space and write less and be more pythonic! We can do multiple assignments, yes that too in a single line.

# Assign variables, all of them in a single line.

a, b, c = 1, 2, 3
print(a, b, c)      # Output: 1 2 3

A single value can be assigned to multiple variables in a single line.

# Assign variables to a single value in a single line.

a = b = c = 1
print(a, b, c)      # Output: 1 1 1

This is possible because of something called tuple unpacking (not an advanced topic, you will learn that in tuples, if not already, try this link).

We can simply assign multiple values to a variable and it will pack it as a tuple.

# Assign multiple values to a single variable

x = 1, 2, 3, 4  # Treat it as a tuple
print(x)        # Output: (1, 2, 3, 4)


Well, what we learn in traditional programming languages is that swapping a variable's value to another variable requires the usage of an extra variable, say, temp or with the usage of some more complex concepts like pointers.

But, as python says - We don't do that here!

There is an awesome way to that:

# Swap variables

a, b = 2, 5
print(a, b)     # Output: 2 5

a, b = b, a
print(a, b)     # Output: 5 2

Again, behind the scenes working is similar to tuple unpacking.

List to String to List

Let's look at some awesome 1 liners for converting a list to string and vice-versa.

# Convert list to string and string to list

a = ['a', 'b', 'c']
aString = "".join(a)
print(aString)      # Output: abc

aAgain = list(aString)
print(aAgain)       # Output: ['a', 'b', 'c']

Some More List

A list of strings can be printed out in a single line, without using a loop.

# Print a list of a string with a single print()

a = ["Hello", "Python", "World"]
print(*a, sep=',')      # Ouput: Hello,Python,World

The little * symbol is used here to unpack the list. It can be used to unpack other iterable type objects as well. Look at the end of this article for more info on asterisks.

Get a list of unique elements. You can do this with loops or with lambdas, but there is a 1 liner again for this.

# Get a list of unique items.

a = [1, 2, 3, 4, 1, 1, 3, 4, 2, 5, 5]
print(list(set(a)))     # Output: [1, 2, 3, 4, 5]

Here, set() function creates a set of unique elements first and then outer list() return a generated list.

In case you need to create a list with repetitive values, the easiest way is to do the following:

# A list with repetitive values

a = [1, 2, 3] * 6
print(a)    # Output: [1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3]


You must have heard about the _ (underscore) character, but did you know that it can be used as an operator as well?

Yes, we can use _ as an interactive operator, more of a temporary variable used commonly for loops, when we are not concerned about the values on which looping is done.

# Underscore operator usage
# When you do this in REPL
>>> a = 2
>>> b = 3
>>> a * b
>>> _

With for loop construct, we can do something like this:

# Underscore to help developers to ignore values on which loop is done.

for _ in range(10):
    # Do something here that does not depends on range(10) values.

Let's move to the next operator tip.

Python allows the chaining of multiple comparison operators, without using a logical operator on that.

# Chaining of comparison operators

a = 5
print(1 < a < 10)   # Output: True, otherwise in other languages like C, it would be - 1<a && a<10

Next is the ternary operator. Like many other programming languages, Python also has a facility that gives the effect of a ternary operator (technically it's not an operator, but more of a single-line conditional statement).

# Python's way of the ternary operation

a = 5
print("Five" if a==5 else "Not Five")   # Ouput: Five

Here, it checks for the condition if a is 5 or not, if it was not 5 then the value after else would be printed.


Now, let's wrap this up with some miscellaneous tips that a beginner can use.

A function can return multiple values. It uses the tuple unpacking concept to return multiple values at once.

# A function can return multiple values.

def someFunc():
    a, b, c = 1, 2, 3
    # Do something here with a, b, c
    return a, b, c

d, e, f = someFunc()
print(d, e, f)      # Output: 1 2 3

We can have a simplified if constructs.

# Simplified IF statements

a = [1, 2, 3]
i = int(input())

# Complex IF
if i == 1 or i == 2 or i == 3:
    # Do something

# Simplified IF
if I in a:
    # Do something

We can do single line reversal of string, i.e, reverse of a string.

# Reverse a string.

s = "Hello Python World"
print(s[::-1])      # Output: dlroW nohtyP olleH

Well, that's it from me.

There are more nuances to the tricks python offers, this blog may not be enough for all of those, but still, these were some of the important tips/tricks that a python developer should know.

I have published some blog articles where I have tried to lay out more such nuances, please go through them to get a better understanding of asterisks and other things python has to offer.

Python Asterisks

Let's Talk Python - Some of the Unknown πŸ‘€

Just starting your Open Source Journey? Don't forget to check Hello Open Source

Need inspiration or a different perspective on the Python projects or just out there to explore? Check Awesome Python Repos

Want to make a simple and awesome game from scratch? Check out PongPong

Want to ++ your GitHub Profile README? Check out Quote - README

Till next time!

Namaste πŸ™

Ayushi Teotia's photo

I recently joined hashnode and blogs like yours' are really making my day. Thanks for sharing.

Siddharth Chandra's photo

Happy to be on your blog's list. Thanks for your appreciation.

Ayush Sharma's photo

I saw couple of your articles, you are doing some amazing work!

Really insightful views and points, loved it.

Sai Ashish Konchada's photo

Amazing Stuff, keep them comin' Siddharth Chandra πŸ”₯

Siddharth Chandra's photo

Thank you ☺️

Abhishek Goyal's photo

A lot of new things for me, thanks for sharing. Bookmarked!

Siddharth Chandra's photo

Glad you found it helpful. Keep learning!

Jony's photo

Good entry, Sid. I didn't know about the underscore uses.

I'm starting with Python doing some scripts and summarizing theory in my code editor. Should you think it's a good idea make a blog like yours and start to upload those things?. I mean like a diary of learning but at the same time like a personal portfolio in case I wanna show it to someone else.

Siddharth Chandra's photo

Thanks 😊

Yeah, sure, whenever you get time, start writing about what you learned that day and in time you will see you have a lot of content to write.

Your daily learnings, some tutorials write up, a blog on your favourite language, etc, will all add to your portfolio, nothing's wrong with that πŸ˜ƒ

Looking forward to your blog articles πŸŽ‰

saurabh sharma's photo

Nice article.

Can we use set directly, instead of converting it to list again in the unique items list example?


Siddharth Chandra's photo

Yes, definitely.

It all depends on your use case. Here, I just wanted to highlight an approach for getting a list of unique items. You can leave it to set if that solves your purpose.

Gustavo Silva's photo

That's a great series about Python. Thank you! Where I work we value code quality a lot and obviously we use a few python linters on what we do. I've written an article about Python linters that I hope to add value to your readers. Feel free to read it here.

I'll keep reading your blog articles. Thank you for your good work

Siddharth Chandra's photo

Sure, I will share the article with my colleagues and friends. Thank you so much πŸ˜ƒ