zweidimensionales bewegtes Bild
Benchmarking R and Python for spatial data processing
- Standort
-
Hannover TIB
- Umfang
-
1932MB, 01:33:11:00 (unknown)
- Sprache
-
Englisch
- Anmerkungen
-
Audiovisuelles Material
- Erschienen in
-
OpenGeoHub Summer School 2022 - KISTE project workshop ; (Jan. 2022)
- Schlagwort
-
Computer science
Open Data
Open science
- Ereignis
-
Veröffentlichung
- (wer)
-
OpenGeoHub Foundation
- (wann)
-
2022-01-01
- Beteiligte Personen und Organisationen
-
Dyba, Krzystof
- DOI
-
10.5446/59407
- Letzte Aktualisierung
-
04.12.2024, 08:09 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Technische Informationsbibliothek (TIB). Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Technische Informationsbibliothek (TIB). Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- zweidimensionales bewegtes Bild
Beteiligte
- Dyba, Krzystof
- OpenGeoHub Foundation
Entstanden
- 2022-01-01
Ähnliche Objekte (12)
Introduction to spatial and spatiotemporal data in Python
![Python and XML : [XML processing with Python]](/assets/placeholder/searchResultMediaNoDigitisedMedia.png)
Python and XML : [XML processing with Python]
Data-based spatial audio processing
High Performance Data Processing with Python, Kafka and Elasticsearch
Earth observation data processing in QGIS with a python API
Natural language processing with Python
PySpark - Data processing in Python on top of Apache Spark.
Benchmarking spatial joins à la carte
Benchmarking Spatial Joins À La Carte
Benchmarking Spatial Joins A La Carte
Things I wish I knew before starting using Python for Data Processing
Benchmarking complex event processing systems : BiCEP
Introduction to spatial and spatiotemporal data in Python
Python and XML : [XML processing with Python]
Data-based spatial audio processing
High Performance Data Processing with Python, Kafka and Elasticsearch
Earth observation data processing in QGIS with a python API
Natural language processing with Python
PySpark - Data processing in Python on top of Apache Spark.
Benchmarking spatial joins à la carte
Benchmarking Spatial Joins À La Carte
Benchmarking Spatial Joins A La Carte
Things I wish I knew before starting using Python for Data Processing
Benchmarking complex event processing systems : BiCEP
Introduction to spatial and spatiotemporal data in Python
Python and XML : [XML processing with Python]
Data-based spatial audio processing
High Performance Data Processing with Python, Kafka and Elasticsearch
Earth observation data processing in QGIS with a python API
Natural language processing with Python
PySpark - Data processing in Python on top of Apache Spark.
Benchmarking spatial joins à la carte
Benchmarking Spatial Joins À La Carte
Benchmarking Spatial Joins A La Carte
Things I wish I knew before starting using Python for Data Processing