gopherdata / resources Goto Github PK

https://github.com/galeone/tfgo

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.

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.

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

We should have a hosted Go notebook(s) with tutorials, information, etc. Contributors should be able to add to the content.

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.

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.

https://github.com/mmcloughlin/globe

https://twitter.com/golang_news/status/918977049875877889

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