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Difference between revisions of "Main Page"

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; [[Elite Document Structure|NOSQLZOO: 'elite' dataset schema]]
 
; [[Elite Document Structure|NOSQLZOO: 'elite' dataset schema]]
 
; [[RegEx Pattern Matching]]
 
; [[RegEx Pattern Matching]]
; [[AGGREGATE#Q4| take me to Q4]]
 
  
 
==MongoDB resources==
 
==MongoDB resources==
 
;Manuals: [http://docs.mongodb.org/manual/ MongoDB Documentaion] [https://github.com/mongodb/docs MongoDB Documentation GitHub]<br/>[https://docs.python.org/3/ Python 3 Documentaion] [http://api.mongodb.org/python/current/ PyMongo API Documentation]<br/> Karl Seguin's [http://openmymind.net/mongodb.pdf The Little MongoDB Book]
 
;Manuals: [http://docs.mongodb.org/manual/ MongoDB Documentaion] [https://github.com/mongodb/docs MongoDB Documentation GitHub]<br/>[https://docs.python.org/3/ Python 3 Documentaion] [http://api.mongodb.org/python/current/ PyMongo API Documentation]<br/> Karl Seguin's [http://openmymind.net/mongodb.pdf The Little MongoDB Book]

Revision as of 11:34, 27 July 2015

#ENCODING
import io
import sys
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-16')
#MONGO
from pymongo import MongoClient
client = MongoClient()
client.progzoo.authenticate('scott','tiger')
db = client['progzoo']
#PRETTY
import pprint
pp = pprint.PrettyPrinter(indent=4)

Learn NoSQL using: MongoDB, PyMongo, and Python3.4

Show all the data concering France.

pp.pprint(list(
    db.world.find({"name":"France"})
))

Tutorials: Learn NoSQL in stages

0 FIND basics
Some examples of common queries.
1 AGGREGATE world
In which we query the world collection and make use of aggregate functions.
2 MAPREDUCE basics
Using MapReduce.
3 MAPREDUCE elite
MapReduce questions using the Elite Dangerous dataset.

Reference: How to...

AGGREGATE
MAPREDUCE
NOSQLZOO: 'elite' dataset schema
RegEx Pattern Matching

MongoDB resources

Manuals
MongoDB Documentaion MongoDB Documentation GitHub
Python 3 Documentaion PyMongo API Documentation
Karl Seguin's The Little MongoDB Book