What python can learn from java
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The document discusses two main lessons that Python can learn from Java. The first lesson is about garbage collection, where Java has a pluggable, well-documented, and tunable garbage collector. The second lesson is about concurrency, where Java provides many useful concurrent utilities and patterns like the actor model that support shared state while avoiding copies.
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![java.util.concurrent: ahead of its time
✤ ConcurrentSkipListMap
✤ CopyOnWriteArrayList
✤ NonblockingHashMap*
✤ Atomic[Int|Long|Reference|...]
✤ SynchronousQueue
✤ Java 7: TransferQueue
✤ ThreadPoolExecutor, ScheduledThreadPoolExecutor
✤ FutureTask
Saturday, September 10, 2011](https://image.slidesharecdn.com/whatpythoncanlearnfromjava-110910232354-phpapp01/85/What-python-can-learn-from-java-8-320.jpg)
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To enable the automation of this process, Jacobs has also developed a survey data standard that standardizes the capture of existing utilities. This standard ensures consistency in data collection, forming the foundation for the subsequent automated validation and modelling steps. The workflow begins with the acquisition of utility survey data, including attributes such as location, depth, diameter, and material of utility assets like pipes and manholes. This data is validated through a custom-built tool that ensures completeness and logical consistency, including checks for proper connectivity between network components. Following validation, the data is processed using an automated modelling tool to generate 3D solids from 2D geometric representations. These solids are then integrated into BIM models to facilitate compatibility with 3D workflows and enable detailed spatial analyses.
The workflow contributes to improved spatial understanding by visualizing the relationships between utilities and other infrastructure elements. The automation of validation and modeling processes ensures consistent and accurate outputs, minimizing errors and increasing workflow efficiency.
This methodology highlights the application of FME in addressing challenges associated with geospatial data transformation and demonstrates its utility in enhancing data integration within BIM frameworks. By enabling accurate 3D representation of utility networks, the workflow supports improved design collaboration and decision-making in complex infrastructure projects
FIDO Seminar: Authentication for a Billion Consumers - Amazon.pptx
FIDO Seminar: Authentication for a Billion Consumers - Amazon.pptxFIDO Alliance FIDO Seminar: Authentication for a Billion Consumers - Amazon
What python can learn from java
- 1. What Python can learn from Java [email protected] Saturday, September 10, 2011
- 2. Saturday, September 10, 2011
- 3. (Not a web development perspective) Saturday, September 10, 2011
- 4. Lesson one: GC ✤ Hotspot GC ✤ Pluggable ✤ Well-documented (http://java.sun.com/j2se/reference/ whitepapers/memorymanagement_whitepaper.pdf) ✤ Tuneable (http://www.slideshare.net/ludomp/gc-tuning-in-the- hotspot-java-vm-a-fisl-10-presentation) Saturday, September 10, 2011
- 5. Troubleshooting OOM Saturday, September 10, 2011
- 6. Troubleshooting fragmentation http://www.cloudera.com/blog/2011/02/avoiding-full-gcs-in-hbase-with-memstore-local-allocation-buffers-part-2/ Saturday, September 10, 2011
- 7. Lesson 2: Concurrency ✤ For CPU-bound applications, copies are the enemy ✤ Corollary: you need to support threads + shared state ✤ Actor model ✤ Multi-process + sysv Saturday, September 10, 2011
- 8. java.util.concurrent: ahead of its time ✤ ConcurrentSkipListMap ✤ CopyOnWriteArrayList ✤ NonblockingHashMap* ✤ Atomic[Int|Long|Reference|...] ✤ SynchronousQueue ✤ Java 7: TransferQueue ✤ ThreadPoolExecutor, ScheduledThreadPoolExecutor ✤ FutureTask Saturday, September 10, 2011
- 9. Shared state = good, Mutable state = bad ✤ guava: Immutable collections ✤ http://code.google.com/p/guava-libraries/ ✤ Persistent collections ✤ http://code.google.com/p/pcollections/ ✤ (More accurately, “What Python can learn from Haskell”) Saturday, September 10, 2011