Hey fellow data nerds! What tools/frameworks are you using for your DS projects these days? Still pandas/sklearn or any cool new libraries? Also, thoughts on Julia vs Python for DS?
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Don't forget cloud platforms. AWS Sagemaker, Azure ML etc becoming essential for prod DS
Loving Polars as pandas alternative. Much faster for large datasets
For classic ML, sklearn still gold standard. But check out libraries like RAPIDS for GPU acceleration
Julia great for numerical computing but Python ecosystem still unbeatable for general DS
Pytorch all the way for DL. Way more flexible than TensorFlow
I feel like everyone’s just following the same playbook: Pandas for data wrangling, Scikit-learn for ML, Matplotlib for visuals. Meanwhile tools like R are being ignored despite their insane visualization capabilities (ggplot2 is still u...
Hey Folks, Since I come from software engineering background so looking for some help from you all.
One of my friend has about 6yr of experience working as Senior DataScientist and he is pretty good at the work. I see him continuously ...
I mostly worked on analytics, AB testing, recommendation systems, bit of NLP, deep learning but most of the time I have implemented tree based models as part of the work
With AutoML and no-code tools rising, are data scientists becoming obsolete? Is 2025 the beginning of the end for DS? What skills to focus on to stay relevant?
