gonum
errors
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gonum | errors | |
---|---|---|
24 | 30 | |
7,249 | 7,511 | |
1.4% | - | |
8.2 | 0.2 | |
5 days ago | over 2 years ago | |
Go | Go | |
BSD 3-clause "New" or "Revised" License | BSD 2-clause "Simplified" License |
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gonum
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How to set up interface to accept multi-dimension array?
But if you want to see what can be done for numeric stuff, check out gonum. Personally, I still wouldn't use Go, and I rather suspect it's still pretty easy to reach for something like what you're trying to do and not find it because Go just can't write that type sensibly, but you can at least see what is available, written by people who disagree with me about Go not being a great language for this.
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packages similar to Pandas
Numpy functionality is largely covered by https://www.gonum.org/ but for pandas I'm not sure if there is an equivalent as widely accepted. However, you might try https://github.com/rocketlaunchr/dataframe-go which I have not tried but it looks like it covers some of what you're looking for
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What libraries are missing?
Math libraries. It's just gonum right now. Missing things that often require people to link C or Python libs. E.g. https://github.com/gonum/gonum/issues/354
- Gonum Numerical Packages
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SIMD Accelerated vector math
Maybe this way you could avoid having Mul, Mul_Inplace, Mul_Into variants. Gonum mostly follows the same pattern.
- Modern hardware is fast, so let's choose the slowest language to balance it out
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graph: A generic Go library for creating graph data structures and performing operations on them. It supports different kinds of graphs such as directed graphs, acyclic graphs, or trees.
How does this compare to gonum graph? https://github.com/gonum/gonum/tree/master/graph
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From Python to NumPy
Go is quite a bit cleaner than Python and its concurrency/parallelism primitives can be well suited to scientific workloads.
You may want to have a look at Gonum (https://www.gonum.org), and the Go HEP package developed by CERN (https://go-hep.org).
I was also surprised to see DSP and pretty sophisticated packages, although I never used them: https://awesome-go.com/science-and-data-analysis
And of course Go has Jupyter integration, it's almost like running a script thanks to its fast compilation time.
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Go for science?
You should check out this https://github.com/gonum/gonum
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What makes concurrency in Go better than multiprocesing/multithreading in Python?
No, using CPU extensions and GPUs is a different thing than doing multitasking. There is Gonum but it is still slower than Numpy: https://github.com/gonum/gonum/issues/511
errors
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Show HN: Error return traces for Go, inspired by Zig
Can you explain why we should this over https://github.com/pkg/errors?
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Cant wait for less verbose error handling
The pkg/errors package offers some nice add-ons for easier error handling. Too bad it was put into maintenance mode pending whatever changes/improvements are coming in Go 2.
- Error handling and serializing
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isse for go path in neovim
I can't figure out the issue so here for some help, I am using `neovim/nvim-lspconfig` my `gopls` doesn't recognise external paths such as `github.com/pkg/errors` , it throws error`could not import github.com/pkg/errors (cannot find package "github.com/pkg/errors" in any of /usr/local/go/src/github.com/pkg/errors (from $GOROOT) /Users/ra compiler (BrokenImport)\`
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What am I supposed to be doing with errors?
Also - there are some error handling utils that allow you to wrap errors before passing: https://github.com/pkg/errors
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Go error handling is not verbose but the error handling itself.
Should've been something like errors.Newf("failed to foofoo %s", foo) instead and preferably never invent %w but have some controlled way to wrap like errors.Wrapf(err, "failed to foofoo %s", foo) that was in ye olde github.com/pkg/errors.
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How to wrap the error best?
Prefer using errors.Wrap and errors.Wrapf from https://github.com/pkg/errors . It's frozen because they don't want to add features, waiting for a re-write of error handling in Go2.
- mdobak/go-xerrors: Yet another error handling library.
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Getting at the type of error after it has been wrapped with errors.Wrap
Im using zerolog and in order to get the stack trace for my error I have to wrap my error in errors.Wrap from "github.com/pkg/errors".
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When ia a good time to panic?
And for "real programs" you can use https://github.com/pkg/errors (if you want stack traces)
What are some alternatives?
dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
zerolog - Zero Allocation JSON Logger
gosl - Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
autoflags - Populate go command line app flags from config struct
Stats - A well tested and comprehensive Golang statistics library package with no dependencies.
go-multierror - A Go (golang) package for representing a list of errors as a single error.
gonum/plot - A repository for plotting and visualizing data
logrus - Structured, pluggable logging for Go.
PiHex - PiHex Library, written in Go, generates a hexadecimal number sequence in the number Pi in the range from 0 to 10,000,000.
bitio - Optimized bit-level Reader and Writer for Go.
goraph - Package goraph implements graph data structure and algorithms.
Testify - A toolkit with common assertions and mocks that plays nicely with the standard library