Programming is not difficult. With anything, the more practice you get, the better you are at it. Thankfully, you do not need much practice to achieve proficiency at coding Python. You may not be creating machine learning models that develop their own language by the end of this hour (I'll teach you that too if you want to learn) but you will be able to increase your productivity, understand python syntax, and begin your journey into python.
But why should you? The reasons to learn Python are limitless. You may already be aware of the machine learning, data analysis, web design, user interfaces, software creation, and game development use cases, but above everything, there's one reason why you should learn python. Open Source projects are the future of the industry, arguably it is a reality of the present. But what does this mean? This means that your investment into learning Python will forever be valuable, as there is a large community ensuring and building python's use cases long, long into the future.
I get this question often. Let me share one piece of advice that I've shared with thousands of my other students online. Don't Waste your time with long tutorials that claim to teach you everything you need to know over a duration of six hours.
The only way you learn Python is by applying what you learn to projects. That's why my approach to teaching python programming is fundamentally different. I don't want you to spend a long time going through course lectures. I want to show you the basics, as quickly as I can, to develop a working understanding. Once you see a concept, then apply it to a project. From there, your understanding will grow and you'll understand Python.
Here's a roadmap:
We'll cover this all in the course listed above, but we'll always cover a written version here. Let's get started!
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