In this tutorial on Go4DataScience we will explore GoTa - a package for doing data analysis in Go/Golang.
In this tutorial on Go4DataScience we will explore GoTa - a package for doing data analysis in Go/Golang.
⏲️===TimeStamps===⏲️ 0:02 Intro 01:10 Go Packages for Stats & EDA 01:45 Installing GoTa Package 03:10 Basics 04:33 Structure or Anatomy of A Go Program 05:05 Workflow 05:25 Opening CSV Files 07:10 Reading CSV Files with GoTa 09:59 Shape of DataFrame/Dataset 13:14 Check Column Names 13:50 Get DataTypes 14:25 Descriptive Summary 15:40 Selecting Columns 18:34 Multiple Columns Selection 21:20 Selecting Rows 23:30 Working with Series 26:00 Applying A Function to a Series 27:34 Checking for Missing Values/NaN 30:50 Applying Functions From External Packages on Series 32:00 Working with Filters & Conditions 36:20 Applying Filters to DataFrame 41:04 Recap
💻 Code:https://github.com/jcharis 📝 Official Golang: https://golang.org/ ⚙️ Get Packages:https://go.dev/
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Go announced Go 1.15 version on 11 Aug 2020. Highlighted updates and features include Substantial improvements to the Go linker, Improved allocation for small objects at high core counts, X.509 CommonName deprecation, GOPROXY supports skipping proxies that return errors, New embedded tzdata package, Several Core Library improvements and more.
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