Easy to follow Python intermediate

Intermediate Python 📖

• Through the intermediate Python course, you will learn advanced data structures, object-oriented programming, asynchronous programming, and more, which can be applied in various fields such as web development, data science, and automation script writing.

Recommended for these people! 🙆‍♀

Types of students considered by knowledge sharers

• For those who want to learn Python in depth

• For those who want to build a career in programming

• Those with basic Python knowledge

Do you have any concerns??

• Are you learning the basics of Python and don't know what to do?

• If so, first learn intermediate grammar and think about it!

Changes in students after attending the lecture

• After attending the lecture, you will understand Python at a deeper level.

• You will gain confidence in coding.

Lecture Features ✨

This lecture will look at grammar through various examples, and you can find all the code and explanations in the Google Colab files I provide, so you can simply look at the code, related explanations, and examples while walking, riding the bus, or eating without having to listen to the lecture.

• For those who lack basic knowledge, examples were provided in the lecture in an easy and clear manner.

• The lecture's difficulty level is beginner to intermediate, so if you are new to Python, we recommend that you first take the "My Easy-to-Follow Python Basics" lecture!

What you'll learn 📚

• As shown in the picture above, it explains the concept along with its three characteristics, advantages, and disadvantages.

• The list on the side is the curriculum we will learn, and there are several examples below the explanations.

Expected Questions Q&A 💬

Q. Is this a course that non-majors can also take?
A. Of course. If you're interested in coding, I've made it easy for middle school and elementary school students to understand.

Q. What level of content is covered in the class?
A. If you go too deep, it becomes difficult to access, so if Python's depth is 100, we set it to around 40 to 60.

Q. Is there anything I need to prepare before attending the lecture?
A. All you need is a computer, mouse, keyboard, and a good mindset.

Things to note before taking the course 📢

Practice environment

• Operating system: Windows 11

• Tools used: Google Colab

• PC specifications: Any standard computer is sufficient.

Learning Materials

• If you purchase, I will leave a link to the Google Colab file in the supplementary materials of the lecture.

Player Knowledge and Precautions

• It would be good to know the basics of Python.

• Be sure to use the Google Colab files provided in this lecture!

• If there's anything you don't understand, please feel free to ask questions!