Difference between revisions of "Main Page"

Revision as of 12:20, 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)

Top Tips

Find

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...

0 AGGREGATE: Using the .aggregation() framewokrk.
1 MAPREDUCE: Using MapReduce
NOSQLZOO: 'elite' dataset schema: How the elite database is stored and where it comes from.
2 Pattern Matching (RegEx): Some pattern matching queries.

MongoDB resources

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

@@ Line 30: / Line 30: @@
 ==Reference: How to...==
-; [[AGGREGATE|1 AGGREGATE]]:Using the .aggregation() framewokrk.
+; [[AGGREGATE|0 AGGREGATE]]:Using the .aggregation() framewokrk.
-; [[Pattern Matching (RegEx)|1 Pattern Matching (RegEx)]]:Some pattern matching queries.
+; [[MAPREDUCE|1 MAPREDUCE]]:Using MapReduce
+; [[Elite Document Structre|NOSQLZOO: 'elite' dataset schema]]:How the elite database is stored and where it comes from.
+; [[Pattern Matching (RegEx)|2 Pattern Matching (RegEx)]]:Some pattern matching queries.
 ==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]