jexp

{
  movies(options: { limit: 10 }) {
    title
    actors {
      name
    }
  }
}

jexp

//DEPS org.jsoup:jsoup:1.14.3

import static java.lang.System.*;
import org.jsoup.*;

public class Html {
    public static void main(String...args) throws Exception {
        var doc = Jsoup.connect(args[0]).get();
        out.println(doc.title());
        doc.select(args[1])

jexp

create index on :Partei(name);
create index on :These(name);
create constraint if not exists on (p:Partei) assert p.id is unique;
create constraint if not exists on (t:These) assert t.id is unique;

load csv with headers from 
"https://gist.github.com/jexp/189e9d7a47095ff96ff522fe350f0d36/raw/fa2f356514ec981067856ad7a5f6dfb017122c8d/wom-sa-2021.csv" 
as row

merge  (p:Partei {id:toInteger(row.`Partei: Nr.`)}) on create set p.text = row.`Partei: Name`, p.name = row.`Partei: Kurzbezeichnung`

jexp

//Movies based on similar users and favorite genres

MATCH (u:Users)-[:WATCHED]->(m:Movies) 
WHERE u.userId ='1' 
WITH collect(m) as watchedMovies

MATCH (u:Users)-[:WATCHED]->(m1:Movies)-[s:SIMILAR]->(m2:Movies), 
      (m2)-[:GENRES]->(g:Genres), (u)-[:FAVORITE]->(g) 
WHERE u.userId ='10' and m2 IN watchedMovies 
RETURN distinct u.userId as userId, g.genres as genres, m2.title as title, m2.rating_mean as rating 

jexp

!pip install giphy_client
import giphy_client
import random
from IPython.core.display import display, HTML

api_instance = giphy_client.DefaultApi()
api_key = '***' # from https://developers.giphy.com/dashboard/
search = 'science'
api_response = api_instance.gifs_search_get( api_key, search, limit=25)
images = [img.images.fixed_height.url for img in api_response.data]

jexp

// load initial package, adjust your name and version

with "org.neo4j:neo4j-kernel" as name, '4.2.6' as version
call apoc.load.json("https://deps.dev/_/s/maven/p/"+name+"/v/"+version+"/dependencies") yield value
where value.package.system = 'MAVEN'
merge (p:Package:Maven {name:value.package.name, version:value.version})
with * 
unwind value.dependencies as dep
with p, dep where dep.package.system = 'MAVEN'
merge (d:Package:Maven {name:dep.package.name, version:dep.version})

jexp

call apoc.load.json("https://lombardinetworks.net/network/1027/1027.json") yield value
unwind value.nodes as n
call apoc.create.node([split(n.type,'#')[1]], n {.id, .name}) yield node
with value, apoc.map.groupBy(collect(node),"id") as nodes
unwind value.links as r
call apoc.create.relationship(nodes[r.source],split(r.type,'#')[1], {amount:toFloat(r.amount)},nodes[r.target]) yield rel
return count(*);

jexp

Dev Rel
Don’t sound smart
Help others feels smart 
Break thinks down to simple bits
Developer empathy 
Not just for senior audiences 
Netlify - docs, dx-eng, eng-integrations
Employee of community. Company is a sponsor
Ambassador progr. 

jexp

# -*- coding: utf-8 -*-
# https://developers.google.com/explorer-help/guides/code_samples#python

# pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib
# python playlist.py

import os
import sys
import json

jexp

call apoc.load.csv('https://www.nature.com/immersive/d41586-019-03165-4/dat/data.zip!cociteNodes.csv',{}) 
yield map 
create (p:Paper) set p =map {.NatureID, .PubYear, .Title, .HierCat, .size}
return count(*) as papers;

create index on :Paper(NatureID);
call db.awaitIndexes();

call apoc.load.csv('https://www.nature.com/immersive/d41586-019-03165-4/dat/data.zip!cociteEdges.csv',{ignore:['path']}) 
yield map