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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
What is a data lake in basic terms?
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Ya I agree Javascript is definitely still most widely used coding language, it's the one that I use and encounter most often. Python has definitely grown in use over the past few years, but it's still not the most popular.
For what? You're not gonna see many video games written in python, just as you wont see data center infra running on JS.
For analytics, the dominant stack is SQL, Python, and a little JS. SQL for DB stuff, Python for pretty much everything, and JS for web scraping.
Very heavily optional R, Scala, C++, and Java. R mostly seen on stats teams, though not exclusively. Scala is for data engineering, where you'll see it used for ML model batch jobs sometimes - but Python is generally fine. C++ and Java would be for dev work with engineers, not standalone analytics or ML, and even then you'll usually be fine with Python.
Even deeper down the rabbit hole, you might see Kotlin and Rust which are in a sense nicer versions of Java and C++, respectively.
As this is the Data & Analytics Consulting bowl, I’m going to make a wild guess that OP is asking about languages widely used for Data & Analytics.
The answer is definitively Python, commonly used in conjunction with SQL.
R is needed for advanced statistical methods, and usually you don’t need to go deep into R programming to leverage R since the data prep can be done using better suited languages (SQL or Python) and then you run the prepared data through a very simple R script.
Nobody uses JavaScript for data and analytics.
I would say Javascript is still the most widely used, but Python has definitely grown in popularity over the last decade for sure. SQL is a close third, and I think all three are good to know for anyone who codes
JavaScript for Data Analytics ?
Would say SQL / Python
because it has a ton of libraries for data, like Pandas, Polars. Machine learning libraries as well. It’s also an easy language to pick up, however not a performance driven one.