Today, Python πis the best language you can learn if you want to get into machine learning.
It has many things going for it, but here are 2 very important:
β’ It's very flexible.
β’ It's very popular.
This, however, can change.
It has many things going for it, but here are 2 very important:
β’ It's very flexible.
β’ It's very popular.
This, however, can change.
I get a lot of questions about Python versus R.
R is great, but it doesn't have the flexibility that Python does.
Learn Python, and you can use it for more than machine learning: you can build your backend, MLOps, DevOps, tooling, etc.
One language. Multiple uses.
R is great, but it doesn't have the flexibility that Python does.
Learn Python, and you can use it for more than machine learning: you can build your backend, MLOps, DevOps, tooling, etc.
One language. Multiple uses.
If you look at the literature today, it's Python all the way down.
If you look at libraries and frameworks, they are Python-first with a few spinoffs on different languages.
It's hard to go against the current.
If you look at libraries and frameworks, they are Python-first with a few spinoffs on different languages.
It's hard to go against the current.
This status quo, however, can change at any time.
I've been looking at JavaScript and its increasing footprint in the machine learning community.
To be clear, I don't think JavaScript will replace Python any time soon, but it's good to see progress somewhere else.
I've been looking at JavaScript and its increasing footprint in the machine learning community.
To be clear, I don't think JavaScript will replace Python any time soon, but it's good to see progress somewhere else.
Competition fosters progress.
Having such a vibrant JavaScript community working in the machine learning ecosystem is an amazing incentive for Python to keep raising the bar.
Today, Python is the one obvious choice.
Tomorrow, we'll see.
Having such a vibrant JavaScript community working in the machine learning ecosystem is an amazing incentive for Python to keep raising the bar.
Today, Python is the one obvious choice.
Tomorrow, we'll see.
I've been getting a lot of questions about Julia.
Julia is great, but I'm more bullish on JavaScript becoming big on Machine Learning than on Julia.
The reason is the flexibility of the language. Learning one language that you can use everywhere is incredibly powerful!
Julia is great, but I'm more bullish on JavaScript becoming big on Machine Learning than on Julia.
The reason is the flexibility of the language. Learning one language that you can use everywhere is incredibly powerful!
β’ β’ β’
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