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TORRENT DETAILS

[FreeCoursesOnline.Us] Linkedin - Python Parallel Programming Solutions

TORRENT SUMMARY

[FreeCoursesOnline.Us] Linkedin - Python Parallel Programming Solutions

Status:	This torrent has NOT been verified.
Category:	Other
Infohash:	4039dff89d1be07dbc3a6ed847e8f7abc6772433
Size:	1.4 GB in 99 files
Release Date(s):	Torrent Release: 19-12-2017 by user
Swarm:	0 Seeds & 1 Peers
Vote:	No votes yet.

DESCRIPTION

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FILE LIST

Filename		Size
	01 - The parallel computing memory architecture - Python Parallel Programming Solutions.en.srt	11 KB
	01 - The parallel computing memory architecture - Python Parallel Programming Solutions.mp4	53.4 MB
	02 - Memory organization - Python Parallel Programming Solutions.en.srt	13.2 KB
	02 - Memory organization - Python Parallel Programming Solutions.mp4	40.2 MB
	03 - Memory organization continued - Python Parallel Programming Solutions.en.srt	10.5 KB
	03 - Memory organization continued - Python Parallel Programming Solutions.mp4	31.7 MB
	04 - Parallel programming models - Python Parallel Programming Solutions.en.srt	8.3 KB
	04 - Parallel programming models - Python Parallel Programming Solutions.mp4	24.3 MB
	05 - Designing a parallel program - Python Parallel Programming Solutions.en.srt	12.3 KB
	05 - Designing a parallel program - Python Parallel Programming Solutions.mp4	36.4 MB
	06 - Evaluating the performance of a parallel program - Python Parallel Programming Solutions.en.srt	9.4 KB
	06 - Evaluating the performance of a parallel program - Python Parallel Programming Solutions.mp4	30.7 MB
	07 - Introducing Python - Python Parallel Programming Solutions.en.srt	9.5 KB
	07 - Introducing Python - Python Parallel Programming Solutions.mp4	35.9 MB
	08 - Working with processes in Python - Python Parallel Programming Solutions.en.srt	4.4 KB
	08 - Working with processes in Python - Python Parallel Programming Solutions.mp4	13.9 MB
	09 - Working with threads in Python - Python Parallel Programming Solutions.en.srt	6.6 KB
	09 - Working with threads in Python - Python Parallel Programming Solutions.mp4	20.6 MB
	10 - Defining a thread - Python Parallel Programming Solutions.en.srt	6.5 KB
	10 - Defining a thread - Python Parallel Programming Solutions.mp4	19.6 MB
	11 - Determining the current thread - Python Parallel Programming Solutions.en.srt	2.3 KB
	11 - Determining the current thread - Python Parallel Programming Solutions.mp4	6.3 MB
	12 - Using a thread in a subclass - Python Parallel Programming Solutions.en.srt	3.9 KB
	12 - Using a thread in a subclass - Python Parallel Programming Solutions.mp4	11.2 MB
	13 - Thread synchronization with lock - Python Parallel Programming Solutions.en.srt	10.2 KB
	13 - Thread synchronization with lock - Python Parallel Programming Solutions.mp4	31 MB
	14 - Thread synchronization with RLock - Python Parallel Programming Solutions.en.srt	3.4 KB
	14 - Thread synchronization with RLock - Python Parallel Programming Solutions.mp4	10 MB
	15 - Thread synchronization with semaphores - Python Parallel Programming Solutions.en.srt	8.7 KB
	15 - Thread synchronization with semaphores - Python Parallel Programming Solutions.mp4	27.9 MB
	16 - Thread synchronization with a condition - Python Parallel Programming Solutions.en.srt	4.6 KB
	16 - Thread synchronization with a condition - Python Parallel Programming Solutions.mp4	13.8 MB
	17 - Thread synchronization with an event - Python Parallel Programming Solutions.en.srt	3.6 KB
	17 - Thread synchronization with an event - Python Parallel Programming Solutions.mp4	10.4 MB
	18 - Using the with statement - Python Parallel Programming Solutions.en.srt	4.1 KB
	18 - Using the with statement - Python Parallel Programming Solutions.mp4	11.6 MB
	19 - Thread communication using a queue - Python Parallel Programming Solutions.en.srt	5.8 KB
	19 - Thread communication using a queue - Python Parallel Programming Solutions.mp4	17.9 MB
	20 - Evaluating the performance of multithread applications - Python Parallel Programming Solutions.en.srt	8.9 KB
	20 - Evaluating the performance of multithread applications - Python Parallel Programming Solutions.mp4	26.5 MB
	21 - Spawning a process - Python Parallel Programming Solutions.en.srt	5.1 KB
	21 - Spawning a process - Python Parallel Programming Solutions.mp4	16.1 MB
	22 - Naming a process - Python Parallel Programming Solutions.en.srt	2.4 KB
	22 - Naming a process - Python Parallel Programming Solutions.mp4	7.1 MB
	23 - Running a process in the background - Python Parallel Programming Solutions.en.srt	2.5 KB
	23 - Running a process in the background - Python Parallel Programming Solutions.mp4	7.3 MB
	24 - Killing a process - Python Parallel Programming Solutions.en.srt	2.8 KB
	24 - Killing a process - Python Parallel Programming Solutions.mp4	8.3 MB
	25 - Using a process in a subclass - Python Parallel Programming Solutions.en.srt	2.5 KB
	25 - Using a process in a subclass - Python Parallel Programming Solutions.mp4	7.8 MB
	26 - Exchanging objects between processes - Python Parallel Programming Solutions.en.srt	5.7 KB
	26 - Exchanging objects between processes - Python Parallel Programming Solutions.mp4	16.9 MB
	27 - Synchronizing processes - Python Parallel Programming Solutions.en.srt	5.6 KB
	27 - Synchronizing processes - Python Parallel Programming Solutions.mp4	15.5 MB
	28 - Managing a state between processes - Python Parallel Programming Solutions.en.srt	2.8 KB
	28 - Managing a state between processes - Python Parallel Programming Solutions.mp4	8.4 MB
	29 - Using a process pool - Python Parallel Programming Solutions.en.srt	4.6 KB
	29 - Using a process pool - Python Parallel Programming Solutions.mp4	13.6 MB
	30 - Using the mpi4py Python module - Python Parallel Programming Solutions.en.srt	5.6 KB
	30 - Using the mpi4py Python module - Python Parallel Programming Solutions.mp4	23.1 MB
	31 - Point-to-point communication - Python Parallel Programming Solutions.en.srt	5.6 KB
	31 - Point-to-point communication - Python Parallel Programming Solutions.mp4	17.2 MB
	32 - Avoiding deadlock problems - Python Parallel Programming Solutions.en.srt	5.6 KB
	32 - Avoiding deadlock problems - Python Parallel Programming Solutions.mp4	17.9 MB
	33 - Using broadcast for collective communication - Python Parallel Programming Solutions.en.srt	5.9 KB
	33 - Using broadcast for collective communication - Python Parallel Programming Solutions.mp4	18.3 MB
	34 - Using scatter for collective communication - Python Parallel Programming Solutions.en.srt	4 KB
	34 - Using scatter for collective communication - Python Parallel Programming Solutions.mp4	12.3 MB
	35 - Using gather for collective communication - Python Parallel Programming Solutions.en.srt	3 KB
	35 - Using gather for collective communication - Python Parallel Programming Solutions.mp4	9.5 MB
	36 - Using alltoall for collective communication - Python Parallel Programming Solutions.en.srt	5 KB
	36 - Using alltoall for collective communication - Python Parallel Programming Solutions.mp4	17.8 MB
	37 - The reduction operation - Python Parallel Programming Solutions.en.srt	4.9 KB
	37 - The reduction operation - Python Parallel Programming Solutions.mp4	16.6 MB
	38 - Optimizing the communication - Python Parallel Programming Solutions.en.srt	6.2 KB
	38 - Optimizing the communication - Python Parallel Programming Solutions.mp4	20 MB
	39 - Using the concurrent.futures Python modules - Python Parallel Programming Solutions.en.srt	10.1 KB
	39 - Using the concurrent.futures Python modules - Python Parallel Programming Solutions.mp4	30.7 MB
	40 - Event loop management with Asyncio - Python Parallel Programming Solutions.en.srt	8.4 KB
	40 - Event loop management with Asyncio - Python Parallel Programming Solutions.mp4	25 MB
	41 - Handling co-routines with Asyncio - Python Parallel Programming Solutions.en.srt	7.4 KB
	41 - Handling co-routines with Asyncio - Python Parallel Programming Solutions.mp4	23.5 MB
	42 - Manipulating a task with Asyncio - Python Parallel Programming Solutions.en.srt	4.2 KB
	42 - Manipulating a task with Asyncio - Python Parallel Programming Solutions.mp4	13.7 MB
	43 - Dealing with Asyncio and futures - Python Parallel Programming Solutions.en.srt	5.7 KB
	43 - Dealing with Asyncio and futures - Python Parallel Programming Solutions.mp4	17.7 MB
	44 - Using Celery to distribute tasks - Python Parallel Programming Solutions.en.srt	5.5 KB
	44 - Using Celery to distribute tasks - Python Parallel Programming Solutions.mp4	19.9 MB
	45 - Creating a task with Celery - Python Parallel Programming Solutions.en.srt	5.3 KB
	45 - Creating a task with Celery - Python Parallel Programming Solutions.mp4	18.1 MB
	46 - Scientific computing with SCOOP - Python Parallel Programming Solutions.en.srt	7.8 KB
	46 - Scientific computing with SCOOP - Python Parallel Programming Solutions.mp4	28.2 MB
	47 - Handling map functions with SCOOP - Python Parallel Programming Solutions.en.srt	6.5 KB
	47 - Handling map functions with SCOOP - Python Parallel Programming Solutions.mp4	23.2 MB
	48 - Remote method invocation with Pyro4 - Python Parallel Programming Solutions.en.srt	8.4 KB
	48 - Remote method invocation with Pyro4 - Python Parallel Programming Solutions.mp4	29.2 MB
	49 - Chaining objects with pyro4 - Python Parallel Programming Solutions.en.srt	6.1 KB
	49 - Chaining objects with pyro4 - Python Parallel Programming Solutions.mp4	23.1 MB
	50 - Developing a client-server application with Pyro4 - Python Parallel Programming Solutions.en.srt	5.3 KB

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