Course of the Month – Python Data Structures in Practice

Are you looking for a place where you can get some training in programming? Take your Python skills to the next level with hands-on coding exercises. Here is our Python Course of the Month for December: Python Data Structures in Practice.

Are you looking for a Python course with practical hands-on exercises? I have always told everyone that knowledge becomes real only when we use it in practice. Even the best books and courses do not help us if we do not use the skills we learn.

It's the same with Python. Even if you already know a few things about Python data structures, you do not get far without writing real code and practicing Python repeatedly.

Read on to find out more about why we chose this online Python course as our Python Course of the Month and how you can take advantage of it.

I'm going to assume you already know the basics if you are looking for information about data structures in Python. If not, start with the Python Basics track and come back later for more.

What Are Python Data Structures?

If you are considering a career in IT, Python is your best choice. It is one of the most popular programming languages in the world. This is all thanks to its simple syntax and almost unlimited application potential.

It is a great programming language for beginners to learn, but that doesn't mean it's not suitable for very advanced coding. It is used, among others, by NASA!

Python was designed to be simple and easy to learn, even for people with no previous computer experience. Learn more about the basic features of Python in our article about the Zen of Python.

Let's get back to data structures. They are the basic concepts around which you build your scripts and applications. Simply put, it organizes data for the most efficient access for a given situation.

Data structures may be used to put data into a specific order, ensure the uniqueness of the elements, or provide instant access to data. The structures in Python are called lists, dictionaries, tuples, and sets. Read more about the differences among them here.

Python has many built-in data structures. Many users, however, create their own to manage data even better. Here is an example of how to create your own Python dictionary.

If you want to write scripts, create applications, and code in Python, you need to be very good at using data structures. They are widely used and essential for anyone who wants to navigate Python code with ease, from data scientists to engineers and developers.

Why Should You Learn Python Data Structures?

Well... it's much harder to list why you should not learn them. It's just one of the basic things every Python user has to learn to use.

Our course helps you prepare for a job interview that requires Python knowledge. These skills are highly sought by employers. More importantly, they are very valuable and highly compensated. Do you want to know how much you may earn by learning Python? Check out the article "Python Jobs and Salaries in 2022."

Interested in more examples of why you should learn Python data structures and Python coding in general? Find them in the article "5 Reasons to Learn Python in 2024".

Python Data Structures in Practice

Our Python Data Structures in Practice course contains 118 interactive exercises. Altogether, it should not take you more than 24 hours to complete. You start with simpler concepts, then learn more complex functions and solve more complicated tasks.

We’ve prepared something special at the end of the course: a Python project in which you write an actual computer game! This helps you understand how data structures are used to create real-world applications. The game will be just one example of practical use cases, but the skills you acquire along the way will help you write better Python applications of any kind.

This online Python course teaches you how to work with:

• Lists: iterate over lists, compute list statistics, safely modify and delete elements, change the order of elements, and compare two lists with identical or different sizes.
• Nested lists: create nested lists, access single elements, iterate over nested lists, calculate statistics for nested lists, modify elements, create a game board representation, copy nested lists, and transpose and rotate nested lists.
• Tuples: return tuples from functions, unpack tuples and ignore certain tuple elements, represent real-world objects and states/positions with tuples, navigate lists of tuples, and use the zip() functions.
• Dictionaries: iterate over keys/values, iterate over both keys and values, count elements with dictionaries, use the get() function, work with tuples as dictionary keys, group with dictionaries, and link with dictionaries.
• Sets: create sets from lists, delete list duplicates with sets, combine multiple set operators in Python, and simulate state machines.

All exercises in this online Python course are interactive and suitable for Python learners.

For the best possible Python learning experience, it is important to prepare yourself for learning. Do not make common mistakes that make it difficult for you to achieve your goal. Below are some articles on how to learn Python faster and more efficiently.

• "How to Learn Python Faster."
• "5 Tips for Learning Python From Scratch."
• "Music Can Help You Learn Python."
• “How to Practice Python Beyond 'Hello World!'”

Why Choose LearnPython.com?

I have been working with Python for a long time. But I was a beginner once. I know how difficult it is. If you don't pick a good way to learn from the start, you may get discouraged and lose your motivation quickly, and with it, your chance at a better career. If you are interested in how I got started, you may find my story interesting.

I tried to learn Python from YouTube tutorials and by reading books. These were good sources, but it wasn't until I found LearnPython.com that I was able to really learn Python. What makes this platform different?

You see the platform does Python and only Python. It is not a huge collection of courses in various fields as you see in other services of this type. Here, you find online Python courses made by people who really know Python and are passionate about it.

The coolest thing LearnPython.com offers is the online console. You write real Python code and see it working right away when you do the exercises. It's maximum interactivity. You master a skill only through practice, and the online Python courses at LearnPython.com are ideal for that.

If you still question whether programming is for you at all, I have good news for you. Python Basics. Part 1 course is now completely free. Evaluate our platform and see if Python is right for you. Just log in and start learning.

Who Should Take This Python Course?

Python Data Structures in Practice is not a course for complete beginners. You should know the basics of Python to get the most benefit from it.

We have created our Python Data Structures in Practice for people who want to use data structures in their Python projects. Many computer science students and programmers who want to improve their Python skills benefit from this interactive Python course. It is also often taken by junior programmers preparing for a job interview.

Again, if you’re a coding newbie, take our Python Basics track first. This is a course designed for complete Python beginners—people without any background in IT, who have never written a line of code in their lives. It’s the best place to start your Python journey.

Try out whether LearnPython.com courses work for you by creating a free account. Do a few free trial exercises.

Try Our Python Course of the Month!

Now you know why you should learn Python Data Structures in Practice! It is a must-have for every aspiring programmer or data analyst. Being able to use these structures with ease saves you time and helps you write better code.

What to do:

• Create a free LearnPython.com account or log in if you already have one.
• Start the course.

Learning Python helps you achieve your goals!