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rest vs graphql good things from rest stateless API, which make web-scalable and easy-manage resource-oriented programming and structured accessto resources, which make many goods, such as cacheable, retriable. the bad things with rest `1+N` problem: fetch list api, fetch every detail api to get more message. overfetching(fetch too much data which was not requried) underfetching(not-enough data from api, which make it need multi request to get the data). too flexible, may things this like dynamic(rest) vs static(graphql).

bokeh can provide interactive visualization for modern web browsers. elegant, concise, vesatile graphics, *afford high-performacne interactiivity onver lagerge or streaming datasets. bokeh provide two interface levels: bokeh.models: low-level interface provide most flexibility bokeh.plotting: higher-level interface centered around composing visual glyphs. this focus on bokeh.plotting. installation # recommend way # conda install deps, and exmaples in *examples/* subdirectory conda install bokeh # using pip, you need install ~numpy~ and so on. pip install bokeh get-starting [] TODO output bokeh plot to or-babel result you can download sample-date and example from bokeh

package main import ( "fmt" "http" "reflect" ) // search ... func search(resp http.ResponseWriter, req *http.Request) { var data struct { Labels []string `http:"1"` MaxResults int `http:"max"` Exact bool `http:"x"` } data.MaxResults = 10 if err := Unpack(req, &data); err != nil { http.Error(resp, err.Error(), http.StatusBadRequest) return } fmt.Fprintf(resp, "Search: %+v\n", data) } // Unpack func Unpack(req *http.Request, ptr interface{}) error { if err := req.ParseForm(); err != nil { return err } fields := make(map[string]reflect.