In the associated Hands-On session, participants will learn how to copy data from and to HDFS, browse HDFS, write, run and monitor MapReduce jobs, by fitting a logistic regression model on a real-world data set. The hands-on exercises will be carried out on a virtual machine running Greenplum HD distribution based on Apache Hadoop.
In the associated Hands-On session, participants will learn how to copy data from and to HDFS, browse HDFS, write, run and monitor MapReduce jobs, by fitting a logistic regression model on a real-world data set. The hands-on exercises will be carried out on a virtual machine running Greenplum HD distribution based on Apache Hadoop.
PyCon lightning talk on my Toro module for Tornadoemptysquare
With Tornado’s gen module, you can turn Python generators into full-featured coroutines, but coordination among these coroutines is difficult without mutexes, semaphores, and queues.
Toro provides to Tornado coroutines a set of locking primitives and queues analogous to those that Gevent provides to Greenlets, or that the standard library provides to threads.
PyCon lightning talk on my Toro module for Tornadoemptysquare
With Tornado’s gen module, you can turn Python generators into full-featured coroutines, but coordination among these coroutines is difficult without mutexes, semaphores, and queues.
Toro provides to Tornado coroutines a set of locking primitives and queues analogous to those that Gevent provides to Greenlets, or that the standard library provides to threads.
