Articles About Building REST API Servers in Golang

• 7 Frameworks To Build A REST API In Go
• Building a RESTful API with Golang: Gorilla mux example
• How I structure production grade REST API’s in Golang: Chi example
• Building RESTful web API service using Golang, chi, and MySQL: Another Chi example

Articles Providing Overview of Golang

• Why Golang is Growing so Quickly
• Why Should You Learn Go?
• Why GoRoutines are not Lightweight Threads
• Tour of Golang Concurrency
• Why You can Have a Million GoRoutines

Vue Date Pickers

Blog article listing date pickers for Vue: https://madewithvuejs.com/blog/best-vue-js-datepickers

When to Hire a CTO

Excellent Article: https://www.techinasia.com/right-time-to-hire-cto

Things to "Give Up" to be Successful

Note to self: https://medium.com/thrive-global/13-things-you-should-give-up-if-you-want-to-be-successful-1958b5aaf116

Article About Startup Success Rates

https://www.techinasia.com/numbers-remind-startup-brutal

Startup Expansion Consultants

BOT is one of the models which they work on

Article: https://www.techinasia.com/talk/henek-lo

SKLearn Metrics Precision, Recall, F-Score and Support

Precision:

• If it's 1 it means all positives are correct
• It may be that many other positives for this class are wrongly labelled as negative (and categorised in other classes), but that's not measured in this metric
• The lower it is, it means more entries from other categories are being mis-classified here

Recall:

• If it's 1 it means it managed to find all the positive samples
• It may be that it wrongly classified other samples for other categories here, but that's not measured in this metric
• The lower it is, it means more entries from this category are being mis-classified into other categories

F-Score: Some kind of mean between precision and recall

Support: Number of occurrence in each category

Reference: http://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html