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![(Graphs)-[:ARE]->(Everywhere)](https://image.slidesharecdn.com/pyconrussianjuly2016-160721094131/75/Building-social-network-with-Neo4j-and-Python-6-2048.jpg)
![101 Graph data structure graph = {'A': ['B', 'C'], 'B': ['C', 'D'], 'C': ['D'], 'D': ['C'], 'E': ['F'], 'F': ['C']} from https://www.python.org/doc/essays/graphs/](https://image.slidesharecdn.com/pyconrussianjuly2016-160721094131/75/Building-social-network-with-Neo4j-and-Python-7-2048.jpg)
![101 Graph data structure def find_path(g, s, e, path=[]): path = path + [s] if s == e: return path if not s in g: return None for node in g[s]: if node not in path: newpath = find_path(g, node, e, path) if newpath: return newpath return None](https://image.slidesharecdn.com/pyconrussianjuly2016-160721094131/75/Building-social-network-with-Neo4j-and-Python-9-2048.jpg)
![101 Graph data structure >>> graph = {'A': ['B', 'C'], 'B': ['C', 'D'], 'C': ['D'], 'D': ['C'], 'E': ['F'], 'F': ['C']} >>> find_path(graph, 'A', 'D') ['A', 'B', 'C', 'D'] >>>](https://image.slidesharecdn.com/pyconrussianjuly2016-160721094131/75/Building-social-network-with-Neo4j-and-Python-10-2048.jpg)
![Cypher: Example MATCH (n:Person {name: "Tom Hanks”}) -[:ACTED_IN]->(m) RETURN n,m SELECT n,m FROM persons;](https://image.slidesharecdn.com/pyconrussianjuly2016-160721094131/75/Building-social-network-with-Neo4j-and-Python-18-2048.jpg)
![Python DB API 2.0 for Neo4j https://github.com/jakewins/neo4jdb-python class Connection(object): def __init__(self, db_uri): self.errorhandler = default_error_handler self._host = urlparse(db_uri).netloc self._http = http.HTTPConnection(self._host) self._tx = TX_ENDPOINT self._messages = [] self._cursors = set() self._cursor_ids = 0](https://image.slidesharecdn.com/pyconrussianjuly2016-160721094131/75/Building-social-network-with-Neo4j-and-Python-29-2048.jpg)
![(n)->[:Questions]](https://image.slidesharecdn.com/pyconrussianjuly2016-160721094131/75/Building-social-network-with-Neo4j-and-Python-33-2048.jpg)
Uploaded byAndrii Soldatenko
Building social network with Neo4j and Python
The document details a presentation by Andrii Soldatenko on building social networks using Neo4j and Python, covering topics like graph data structures, Neo4j overview, and Cypher query language. It includes examples of graph representation in Python and practical applications of Neo4j with Python. Additionally, the document provides insights into various tools, libraries, and resources related to Neo4j and graph databases.
Building social network with Neo4j and Python
- 1. Building social network with Neo4jand Python Andrii Soldatenko 3-4 July 2016 @a_soldatenko
- 2. Agenda: • Who amI? • 101 Graph data structure in Python • neo4j overview • PEP-249 and Neo4j • other python neo4j clients
- 3. Andrii Soldatenko • BackendPython Developer at • CTO in Persollo.com • Speaker at many PyCons and Python meetups • blogger at https://asoldatenko.com
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- 7. 101 Graph datastructure graph = {'A': ['B', 'C'], 'B': ['C', 'D'], 'C': ['D'], 'D': ['C'], 'E': ['F'], 'F': ['C']} from https://www.python.org/doc/essays/graphs/
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- 9. 101 Graph datastructure def find_path(g, s, e, path=[]): path = path + [s] if s == e: return path if not s in g: return None for node in g[s]: if node not in path: newpath = find_path(g, node, e, path) if newpath: return newpath return None
- 10. 101 Graph datastructure >>> graph = {'A': ['B', 'C'], 'B': ['C', 'D'], 'C': ['D'], 'D': ['C'], 'E': ['F'], 'F': ['C']} >>> find_path(graph, 'A', 'D') ['A', 'B', 'C', 'D'] >>>
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- 14. Who is myboss?
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- 17. Cypher Query Language MATCH(relationship, pattern matches) WHERE (filter condition) RETURN (what to return, nodes, rels, properties)
- 18. Cypher: Example MATCH (n:Person{name: "Tom Hanks”}) -[:ACTED_IN]->(m) RETURN n,m SELECT n,m FROM persons;
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- 20. Cypher: Example ╒══════════════════════╕ !tomHanksMovies.title ! ╞══════════════════════╡ !CharlieWilson's War ! "######################$ !The Polar Express ! "######################$ !A League of Their Own ! !Apollo 13 ! "######################$ !The Green Mile ! "######################$
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- 23. Contra - unable tohandle lots of data - when you want to update all or a subset of entities
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- 27. https://github.com/nigelsmall/py2neo Graph Data Types GraphDatabases Batch & Manual Indexing Calendar subgraph neokit – Command Line Toolkit for Neo4 Object-Graph Mapping
- 28. PEP 249 Python DatabaseAPI Specification v2.0 https://www.python.org/dev/peps/pep-0249/
- 29. Python DB API2.0 for Neo4j https://github.com/jakewins/neo4jdb-python class Connection(object): def __init__(self, db_uri): self.errorhandler = default_error_handler self._host = urlparse(db_uri).netloc self._http = http.HTTPConnection(self._host) self._tx = TX_ENDPOINT self._messages = [] self._cursors = set() self._cursor_ids = 0
- 30. neo4jdb-python https://github.com/jakewins/neo4jdb-python >>> from neo4j.contextmanagerimport Neo4jDBConnectionManager >>> >>> >>> neo_url = 'http://localhost:7474' >>> manager = Neo4jDBConnectionManager(neo_url) >>> with manager.write() as w: ... w.execute("CREATE (TheMatrix:Movie {title:'The Matrix'})") ...
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- 32. class FriendRel(StructuredRel): since =DateTimeProperty(default=lambda: datetime.now(pytz.utc)) met = StringProperty() class Person(StructuredNode): name = StringProperty() friends = RelationshipTo('Person', 'FRIEND', model=FriendRel) rel = jim.friend.connect(bob) rel.since # datetime object
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