Python Programming: Zero to Expert

You've probably heard a lot these days about how artificial intelligence (AI) is changing the world. AI is already permeating every aspect of our daily lives, from ChatGPT and self-driving cars to facial recognition technology. It's become difficult to do business without AI, and many fields are actively promoting the adoption of AI technology.

Some say AI will eliminate the need for coding. But AI can't do everything you want, right? If that happens, it's highly likely you'll be creating and using the automation you need at work!

The easiest and fastest language to use in such cases is

It's Python.

With a solid grasp of Python, you can automate any task. From marketing and data analysis to AI, there are countless things you can automate with Python. That's why there are so many Python automation scripting courses on the market.

However, you've probably experienced the difficulty of applying the lessons after attending numerous lectures. I've taken many Python courses, but because they mostly focused on methodology, I found it difficult to properly correct the code afterward. Even after joining another company, I struggled to properly analyze the code.

So the method I chose was to focus on theory and principles, even if it was crude, rather than methodology.

Once you know how to use it, it's difficult to use it any other way. This course can't cover everything about Python. However, understanding the theory and principles will give you the ability to apply it. With a solid understanding of the theory and principles, as well as a thorough understanding of Python best practices, you'll be able to write code effortlessly, no matter when or how you use it.

But the underlying technologies and concepts usually don't change much.

In this lecture, we will not simply teach you how to use it!

I'll explain in detail not only how to use it, but also why it's used this way and how to use it better. While some of the material may seem a bit challenging, if you take your time and understand it, you'll be able to fully digest it, so don't worry!

I recommend this to these people

Who created this course

• Leading a DevOps team at a large company and working on Python-based projects

• Working as a Software Engineer at a global startup with diverse Python experience.

• A developer who blogs regularly about Software Engineering.

LinkedIn: https://www.linkedin.com/in/gwonsoolee/

Things to note before taking the course