From the course: 15 Mistakes to Avoid in Data Science

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Building tools from scratch

Building tools from scratch

From the course: 15 Mistakes to Avoid in Data Science

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Building tools from scratch

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- As people with technical backgrounds and technical minds, we often think that we have to kind of reinvent the wheel a lot when we need to solve a problem. And every once in a while, that's true, but a lot of times you have the tools you already need without having to write a thousand custom lines of code or without having to get complex systems and platforms involved and going really too technical and too deep in with it. Everyone always wants to kind of say, oh, well, this doesn't do exactly what I want it to do, so I'm going to customize it and I'm going to write my own thing, I'm going to write my own code, or I'm going to create my own platform to do this because it doesn't quite fit my needs. But I think a better question is, can I make it fit my needs in a way, or can I pivot my needs and try to make something that already exists work for me? What I see is people just really trying to start from scratch when you…

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