Michele Pasin lambdamusic

## python_request_create_gist.py
'''
HTTP Reuests has following parameters:
1)Request URL
2)Header Fields
3)Parameter
4)Request body

PREREQUISITE
* head over to https://github.com/settings/tokens and generate a new token with 'gists' permissions

## load_logs_from_s3.py
#!/usr/bin/python
# -*- coding: utf-8 -*-


"""
iterate a bucket in s3 containing JSON log files
get each file, massage json a little and uploade to elasticsearc
"""


## split_json.sh
#!/bin/bash
FILENAME=records_111901_00000000.jsonl
split -a 5 -l 1 $FILENAME temp
n=1
for f in temp*
do
	cat $f >> Part${n}.json
	rm $f
	((n++))
done

## doi-prefix-publishers.csv

          
            prefix
            publisher
            journals
            dois

            
              10.12679
              
              0
              0

            
              10.7579
              123Doc Education
              0
              0

            
              10.3731
              21st Century COE Program (Toplogical Science and Technology)
              1
              40

            
              10.5775
              A. I. Rosu Cultural Scientific Foundation Fundatia cultural-stiintifica A. I. Rosu
              1
              80

            
              10.4037
              AACN Publishing
              2
              766

            
              10.1306
              AAPG/Datapages
              4
              21817

            
              10.3183
              AB Svensk Papperstidning
              1
              1550

            
              10.5769
              ABEAT - Associacao Brasileira de Especialistas em Alta Tecnologia
              1
              57

            
              10.7597
              ACOPIOS - Revista Iberica de Mineralogia
              1
              9

## splitter.sh
#!/bin/bash
FILENAME=filename_here.csv
HDR=$(head -1 $FILENAME)
split -l 100 $FILENAME xyz
n=1
for f in xyz*
do
	if [ $n -gt 1 ]; then
		echo $HDR > Part${n}.csv
	fi

## scigraph_context.json
# source: https://github.com/springernature/scigraph/blob/master/2018Q3/context/scigraph.json

{
    "@context": {
        "@vocab": "http://schema.org/",
        "@base": null,
        "sg": "http://scigraph.springernature.com/id/",
        "sgo": "http://scigraph.springernature.com/ontologies/core/",
        "rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
        "rdfs": "http://www.w3.org/2000/01/rdf-schema#",

## grant.jsonld
{
    "@context": {
        "@vocab": "http://schema.org/",
        "@base": null,
        "sg.articles": "http://scigraph.springernature.com/things/articles/",
        "sg.persons": "http://scigraph.springernature.com/things/persons/",
        "sg.grants": "http://scigraph.springernature.com/things/grants/",
        "sg": "http://scigraph.springernature.com/ontologies/core/"
    },
    "@id": "sg.grants:grant.2691278",

## SPARQL queries to obtain statistics.
# Obtain the label of a given class (:class1).
SELECT DISTINCT ?c (STR(?l) AS ?lb)
    WHERE {
      ?c a :class1 ;
        <http://www.w3.org/2000/01/rdf-schema#label> ?l .
    }

# Obtain a list of classes.
SELECT DISTINCT ?c
    WHERE {

## querymanager.py
    def __getitem__(self, key):
        """
        Basic slicing support up to 100 (QueryManager.BATCH_DEFAULT_SIZE)
        https://docs.python.org/3/reference/datamodel.html#object.__getitem__

        This is just quick way to get samples items, as it works only for the initial batch of results.

        Use the next() method to go through all the resultset.
        """
        if isinstance( key, slice ) :

## Django 1.8 static tips

# usual way

```
<link href="{% static 'libs/bootswatch3.2/{{ THEME }}/bootstrap.min.css' %}" rel="stylesheet">
```

# more manual but works if you have variables in it

```