Go data resources
Please see the following sub-sections for specific types of Go-based data science resources:
Community Resources →
(events, conferences, blogs, etc...)
Tooling Resources →
(packages, libraries, tools, etc ...)
Category: Golang / Science and Data Analysis |
Watchers: 65 |
Star: 784 |
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Last update: Jun 27, 2022 |
Please see the following sub-sections for specific types of Go-based data science resources:
(events, conferences, blogs, etc...)
(packages, libraries, tools, etc ...)
First job of a data analyst is finding something new. If on that moment he start to write too many codes he would not be able to focus on data...
I know this from experience. This is the reason despite being slow people slip prefer R over python.
Go needs a library like data.table in R and a ggvis package... If you can create just these 2 packages we can start taking go seriously. For the time being i would still stuck to R unless somebody creates this...
Packages like GoTa are not good even at a basic task of selecting multiple rows from dataframes. Or group them by a unique value.
It would take at least a decade for go to come as a data analysis tool...
But yes once the model is ready once we have findings than go can be used. I am still not sure how but it can be used...
Kindly reply me if you have a better solution.
I have developed a Go package that may be included in the tooling resources:
github.com/kelvins/chronobiology - Provide an easy way to access some chronobiology functions that can perform data analysis in time series using GoLang. (I think this is related to bioinformatics)
I don't know if this package is 'robust' as the packages shared in the tooling resources. If you think it should be added feel free to add or let me know.
Thanks
I figured my latest Go
project might be useful to some folks.
Shameless self-promotion :)
Hi,
after clicking the slack link (Gophers Slack #data-science Channel) I will only get to the login site but there is actual no way to login.
greetings
Gwizo is a simple Go implementation of the Porter Stemmer algorithm with powerful features
The package github.com/Shixzie/ly (A very flexible and easy to use pkg to work with DataFrames aimed at ML) points to a non-existing repository.
https://twitter.com/golang_news/status/918977049875877889
Hi, I realize that every time I stumble in back on this page:
... before reading the text on the page, I think I got into an unfinished page with just two resource links ... and thus that there's not much interesting stuff to find here.
Not sure what is the best solution. I realize adding all the tools to this page, would make the community stuff "disappear" to ...
One could think about solutions, but wanted to share my experience.
A detailed error guide for importing and handling common file formats used in data science like csv, tsv, etc.
Example: Checking for the ParseError
and ErrFieldCount
for csv's with irregular column count.
We should have a hosted Go notebook(s) with tutorials, information, etc. Contributors should be able to add to the content.