Don't like banners? Log in and we will make sure you see no banners. For free.
No cover art

[FreeCoursesOnline.Us] Linkedin - Python Parallel Programming Solutions

Other
Size
1.4 GB
Seeders
0
Leechers
0
Files
99
Category
Other
Added
at 1:55pm GMT+1
Status
Not verified
Infohash
4039dff89d1be07dbc3a6ed847e8f7abc6772433
Direct linkTorrent fileDownload now
Don't like banners? Log in and we will make sure you see no banners. For free.

Don't like banners? Log in and we will make sure you see no banners. For free.

File list
  • [FreeCoursesOnline.Us] Linkedin - Python Parallel Programming Solutions
  • 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

Rating
Not rated yet
Log in to rate

Comments

No comments yet.


Similar torrents
NameSizeDate
1.7 GB30