Status Updates From Hands-On Data Science with ...

Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications
by

Yuxing Yan

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Status Updates Showing 1-5 of 5

Timothy Pecoraro is 50% done

— Jan 27, 2022 11:04AM Add a comment

Marcos Malumbres is 60% done

One of the most disorganized books I have ever seen!

— Oct 05, 2020 12:36AM Add a comment

Marcos Malumbres is 21% done

— Oct 03, 2020 03:57PM Add a comment

Mirzhan Irkegulov is on page 36 of 651

Holy cow that was complicated. Installing Jupyter via Anaconda, then connecting Julia & Octave kernels was so hectic. I hope one day there is a conceptually simple, easy-to-use, universal package manager for everything under the sun. Nix ppl, make it happen!

— Apr 24, 2019 08:36AM Add a comment

Mirzhan Irkegulov is on page 17 of 651

The book teaches using Python, R, Julia, Octave with Anaconda+Jupyter. The authors try to plug their other books a few times :). In later Chs there is some ML stuff.

Overall, Anaconda installation Ch isn't clear. How do I make sure that all Python packages are available? We'll see.

— Apr 24, 2019 03:30AM Add a comment