zweidimensionales bewegtes Bild
Designing a scalable and distributed application
- Location
-
Hannover TIB
- Extent
-
437MB, 00:57:18:00 (unknown)
- Language
-
Englisch
- Notes
-
Audiovisuelles Material
- Bibliographic citation
-
EuroPython 2015 ; Vol. 155, (Jan. 2015)
- Keyword
-
EP 2015
EuroPython Conference
EuroPython 2015
- Event
-
Veröffentlichung
- (who)
-
EuroPython
- (when)
-
2015-01-01
- Contributor
-
Jacob, Alexys
- DOI
-
10.5446/20070
- Last update
-
04.12.2024, 8:09 AM CET
Data provider
This object is provided by:
Technische Informationsbibliothek (TIB). If you have any questions about the object, please contact the data provider.
Technische Informationsbibliothek (TIB). If you have any questions about the object, please contact the data provider.
Object type
- zweidimensionales bewegtes Bild
Associated
- Jacob, Alexys
- EuroPython
Time of origin
- 2015-01-01
Other Objects (12)
Scalable Realtime Architectures in Python
Designing a Pythonic Interface
Reliability of distributed systems
Distributed Workflows with Flowy
Industrial Machine Learning: Horizontally scalable Data Pipelines with Airflow
Distributed locks with Python and Redis
Building reproducible distributed applications at scale
Amanda: A New Generation of Distributed Services Framework
Realtime Distributed Computing At Scale: Storm And Streamparse
Design considerations while Evaluating, Developing, Deploying a distributed task processing system
Designing NRT(NearRealTime) stream processing systems: Using python with Storm and Kafka
Lessons learned with asyncio ("Look ma, I wrote a distributed hash table!")
Scalable Realtime Architectures in Python
Designing a Pythonic Interface
Reliability of distributed systems
Distributed Workflows with Flowy
Industrial Machine Learning: Horizontally scalable Data Pipelines with Airflow
Distributed locks with Python and Redis
Building reproducible distributed applications at scale
Amanda: A New Generation of Distributed Services Framework
Realtime Distributed Computing At Scale: Storm And Streamparse
Design considerations while Evaluating, Developing, Deploying a distributed task processing system
Designing NRT(NearRealTime) stream processing systems: Using python with Storm and Kafka
Lessons learned with asyncio ("Look ma, I wrote a distributed hash table!")
Scalable Realtime Architectures in Python
Designing a Pythonic Interface
Reliability of distributed systems
Distributed Workflows with Flowy
Industrial Machine Learning: Horizontally scalable Data Pipelines with Airflow
Distributed locks with Python and Redis
Building reproducible distributed applications at scale
Amanda: A New Generation of Distributed Services Framework
Realtime Distributed Computing At Scale: Storm And Streamparse
Design considerations while Evaluating, Developing, Deploying a distributed task processing system
Designing NRT(NearRealTime) stream processing systems: Using python with Storm and Kafka