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Python Processes and the Need for Process Poolshttps://superfastpython.com/processpoolexecutor-in-python/#Python_Processes_and_the_Need_for_Process_Pools
What Are Python Processeshttps://superfastpython.com/processpoolexecutor-in-python/#What_Are_Python_Processes
What Is a Process Poolhttps://superfastpython.com/processpoolexecutor-in-python/#What_Is_a_Process_Pool
ProcessPoolExecutor for Process Pools in Pythonhttps://superfastpython.com/processpoolexecutor-in-python/#ProcessPoolExecutor_for_Process_Pools_in_Python
What Are Executorshttps://superfastpython.com/processpoolexecutor-in-python/#What_Are_Executors
What Are Futureshttps://superfastpython.com/processpoolexecutor-in-python/#What_Are_Futures
LifeCycle of the ProcessPoolExecutorhttps://superfastpython.com/processpoolexecutor-in-python/#LifeCycle_of_the_ProcessPoolExecutor
Step 1. Create the Process Poolhttps://superfastpython.com/processpoolexecutor-in-python/#Step_1_Create_the_Process_Pool
Step 2. Submit Tasks to the Process Poolhttps://superfastpython.com/processpoolexecutor-in-python/#Step_2_Submit_Tasks_to_the_Process_Pool
Step 3. Wait for Tasks to Complete (Optional)https://superfastpython.com/processpoolexecutor-in-python/#Step_3_Wait_for_Tasks_to_Complete_Optional
Step 4. Shut Down the Process Poolhttps://superfastpython.com/processpoolexecutor-in-python/#Step_4_Shut_Down_the_Process_Pool
ProcessPoolExecutor Context Managerhttps://superfastpython.com/processpoolexecutor-in-python/#ProcessPoolExecutor_Context_Manager
ProcessPoolExecutor Examplehttps://superfastpython.com/processpoolexecutor-in-python/#ProcessPoolExecutor_Example
Hash a Dictionary of Words Seriallyhttps://superfastpython.com/processpoolexecutor-in-python/#Hash_a_Dictionary_of_Words_Serially
Hash a Dictionary of Words Concurrently With map()https://superfastpython.com/processpoolexecutor-in-python/#Hash_a_Dictionary_of_Words_Concurrently_With_map
Testing chunksize Values When Hashing a Dictionary of Words With map()https://superfastpython.com/processpoolexecutor-in-python/#Testing_chunksize_Values_When_Hashing_a_Dictionary_of_Words_With_map
ProcessPoolExecutor Usage Patternshttps://superfastpython.com/processpoolexecutor-in-python/#ProcessPoolExecutor_Usage_Patterns
Map and Wait Patternhttps://superfastpython.com/processpoolexecutor-in-python/#Map_and_Wait_Pattern
Submit and Use as Completedhttps://superfastpython.com/processpoolexecutor-in-python/#Submit_and_Use_as_Completed
Submit and Use Sequentiallyhttps://superfastpython.com/processpoolexecutor-in-python/#Submit_and_Use_Sequentially
Submit and Use Callbackhttps://superfastpython.com/processpoolexecutor-in-python/#Submit_and_Use_Callback
Submit and Wait for Allhttps://superfastpython.com/processpoolexecutor-in-python/#Submit_and_Wait_for_All
Submit and Wait for Firsthttps://superfastpython.com/processpoolexecutor-in-python/#Submit_and_Wait_for_First
How to Configure ProcessPoolExecutorhttps://superfastpython.com/processpoolexecutor-in-python/#How_to_Configure_ProcessPoolExecutor
Configure the Number of Processeshttps://superfastpython.com/processpoolexecutor-in-python/#Configure_the_Number_of_Processes
Configure MultiProcess Contexthttps://superfastpython.com/processpoolexecutor-in-python/#Configure_MultiProcess_Context
Configure the Process Initializerhttps://superfastpython.com/processpoolexecutor-in-python/#Configure_the_Process_Initializer
How to Use Future Objects in Detailhttps://superfastpython.com/processpoolexecutor-in-python/#How_to_Use_Future_Objects_in_Detail
Life-Cycle of a Future Objecthttps://superfastpython.com/processpoolexecutor-in-python/#Life-Cycle_of_a_Future_Object
How to Check the Status of Futureshttps://superfastpython.com/processpoolexecutor-in-python/#How_to_Check_the_Status_of_Futures
How to Get Results From Futureshttps://superfastpython.com/processpoolexecutor-in-python/#How_to_Get_Results_From_Futures
How to Cancel Futureshttps://superfastpython.com/processpoolexecutor-in-python/#How_to_Cancel_Futures
How to Add a Callback to Futureshttps://superfastpython.com/processpoolexecutor-in-python/#How_to_Add_a_Callback_to_Futures
How to Get Exceptions From Futureshttps://superfastpython.com/processpoolexecutor-in-python/#How_to_Get_Exceptions_From_Futures
When to Use the ProcessPoolExecutorhttps://superfastpython.com/processpoolexecutor-in-python/#When_to_Use_the_ProcessPoolExecutor
Use ProcessPoolExecutors When…https://superfastpython.com/processpoolexecutor-in-python/#Use_ProcessPoolExecutors_When%E2%80%A6
Use Multiple ProcessPoolExecutors When…https://superfastpython.com/processpoolexecutor-in-python/#Use_Multiple_ProcessPoolExecutors_When%E2%80%A6
Don’t Use ProcessPoolExecutors When…https://superfastpython.com/processpoolexecutor-in-python/#Dont_Use_ProcessPoolExecutors_When%E2%80%A6
Use Processes for IO-Bound Taskshttps://superfastpython.com/processpoolexecutor-in-python/#Use_Processes_for_IO-Bound_Tasks
CPU-Bound Taskshttps://superfastpython.com/processpoolexecutor-in-python/#CPU-Bound_Tasks
ProcessPoolExecutor Exception Handlinghttps://superfastpython.com/processpoolexecutor-in-python/#ProcessPoolExecutor_Exception_Handling
Exception Handling During Process Initializationhttps://superfastpython.com/processpoolexecutor-in-python/#Exception_Handling_During_Process_Initialization
Exception Handling During Task Executionhttps://superfastpython.com/processpoolexecutor-in-python/#Exception_Handling_During_Task_Execution
Exception Handling During Task Completion Callbackshttps://superfastpython.com/processpoolexecutor-in-python/#Exception_Handling_During_Task_Completion_Callbacks
How Does ProcessPoolExecutor Work Internally?https://superfastpython.com/processpoolexecutor-in-python/#How_Does_ProcessPoolExecutor_Work_Internally
Task Are Added to Internal Queueshttps://superfastpython.com/processpoolexecutor-in-python/#Task_Are_Added_to_Internal_Queues
Worker Processes Are Created as Neededhttps://superfastpython.com/processpoolexecutor-in-python/#Worker_Processes_Are_Created_as_Needed
ProcessPoolExecutor Best Practiceshttps://superfastpython.com/processpoolexecutor-in-python/#ProcessPoolExecutor_Best_Practices
Use the Context Managerhttps://superfastpython.com/processpoolexecutor-in-python/#Use_the_Context_Manager
Use map() for Asynchronous For-Loopshttps://superfastpython.com/processpoolexecutor-in-python/#Use_map_for_Asynchronous_For-Loops
Use submit() With as_completed()https://superfastpython.com/processpoolexecutor-in-python/#Use_submit_With_as_completed
Use Independent Functions as Taskshttps://superfastpython.com/processpoolexecutor-in-python/#Use_Independent_Functions_as_Tasks
Use for CPU-Bound Tasks (probably)https://superfastpython.com/processpoolexecutor-in-python/#Use_for_CPU-Bound_Tasks_probably
Common Errors When Using ProcessPoolExecutorhttps://superfastpython.com/processpoolexecutor-in-python/#Common_Errors_When_Using_ProcessPoolExecutor
Forgetting __main__https://superfastpython.com/processpoolexecutor-in-python/#Forgetting_main
Using a Function Call in submit()https://superfastpython.com/processpoolexecutor-in-python/#Using_a_Function_Call_in_submit
Using a Function Call in map()https://superfastpython.com/processpoolexecutor-in-python/#Using_a_Function_Call_in_map
Incorrect Function Signature for map()https://superfastpython.com/processpoolexecutor-in-python/#Incorrect_Function_Signature_for_map
Incorrect Function Signature for Future Callbackshttps://superfastpython.com/processpoolexecutor-in-python/#Incorrect_Function_Signature_for_Future_Callbacks
Arguments or Shared Data that Does Not Picklehttps://superfastpython.com/processpoolexecutor-in-python/#Arguments_or_Shared_Data_that_Does_Not_Pickle
Not Flushing print() Statementshttps://superfastpython.com/processpoolexecutor-in-python/#Not_Flushing_print_Statements
Common Questions When Using the ProcessPoolExecutorhttps://superfastpython.com/processpoolexecutor-in-python/#Common_Questions_When_Using_the_ProcessPoolExecutor
How Do You Stop a Running Task?https://superfastpython.com/processpoolexecutor-in-python/#How_Do_You_Stop_a_Running_Task
How Do You Wait for All Tasks to Complete?https://superfastpython.com/processpoolexecutor-in-python/#How_Do_You_Wait_for_All_Tasks_to_Complete
How Do You Dynamically Change the Number of Processeshttps://superfastpython.com/processpoolexecutor-in-python/#How_Do_You_Dynamically_Change_the_Number_of_Processes
How Do You Unit Tasks and Process Pools?https://superfastpython.com/processpoolexecutor-in-python/#How_Do_You_Unit_Tasks_and_Process_Pools
How Do You Compare Serial to Parallel Performance?https://superfastpython.com/processpoolexecutor-in-python/#How_Do_You_Compare_Serial_to_Parallel_Performance
How Do You Set chunksize in map()?https://superfastpython.com/processpoolexecutor-in-python/#How_Do_You_Set_chunksize_in_map
How Do You Submit a Follow-up Task?https://superfastpython.com/processpoolexecutor-in-python/#How_Do_You_Submit_a_Follow-up_Task
How Do You Show Progress of All Tasks?https://superfastpython.com/processpoolexecutor-in-python/#How_Do_You_Show_Progress_of_All_Tasks
Do We Need to Protect __main__?https://superfastpython.com/processpoolexecutor-in-python/#Do_We_Need_to_Protect_main
Do I Need to Call freeze_support()?https://superfastpython.com/processpoolexecutor-in-python/#Do_I_Need_to_Call_freeze_support
How Do You Get a Future Object for Tasks Added With map()?https://superfastpython.com/processpoolexecutor-in-python/#How_Do_You_Get_a_Future_Object_for_Tasks_Added_With_map
How to Check How Many Tasks Remain in the ProcessPoolExecutorhttps://superfastpython.com/processpoolexecutor-in-python/#How_to_Check_How_Many_Tasks_Remain_in_the_ProcessPoolExecutor
Common Objections to Using ProcessPoolExecutorhttps://superfastpython.com/processpoolexecutor-in-python/#Common_Objections_to_Using_ProcessPoolExecutor
What About The Global Interpreter Lock (GIL)?https://superfastpython.com/processpoolexecutor-in-python/#What_About_The_Global_Interpreter_Lock_GIL
Are Python Processes “Real Processes”?https://superfastpython.com/processpoolexecutor-in-python/#Are_Python_Processes_%E2%80%9CReal_Processes%E2%80%9D
Aren’t Python Processes Buggy?https://superfastpython.com/processpoolexecutor-in-python/#Arent_Python_Processes_Buggy
Isn’t Python a Bad Choice for Concurrency?https://superfastpython.com/processpoolexecutor-in-python/#Isnt_Python_a_Bad_Choice_for_Concurrency
Why Not Use The ThreadPoolExecutor Instead?https://superfastpython.com/processpoolexecutor-in-python/#Why_Not_Use_The_ThreadPoolExecutor_Instead
Why Not Use multiprocessing.Process Instead?https://superfastpython.com/processpoolexecutor-in-python/#Why_Not_Use_multiprocessingProcess_Instead
Why Not Use AsyncIO?https://superfastpython.com/processpoolexecutor-in-python/#Why_Not_Use_AsyncIO
Further Readinghttps://superfastpython.com/processpoolexecutor-in-python/#Further_Reading
Conclusionshttps://superfastpython.com/processpoolexecutor-in-python/#Conclusions
processhttps://en.wikipedia.org/wiki/Process_(computing)
main threadhttps://superfastpython.com/main-thread/
multiprocessing modulehttps://docs.python.org/3/library/multiprocessing.html
Multiprocessing in Python: The Complete Guidehttps://superfastpython.com/multiprocessing-in-python/
download your FREE bookhttps://superfastpython.com/plip-incontent
concurrent.futures modulehttps://docs.python.org/3/library/concurrent.futures.html
Brian Quinlanhttp://sweetapp.com/
process.pyhttps://github.com/python/cpython/blob/3.10/Lib/concurrent/futures/process.py
built-in map()https://docs.python.org/3/library/functions.html#map
futurehttps://en.wikipedia.org/wiki/Futures_and_promises
Future objecthttps://superfastpython.com/processpoolexecutor-future-objects/
Download Now: Free ProcessPoolExecutor PDF Cheat Sheethttps://marvelous-writer-6152.ck.page/c9de62c42a
multiprocessing.Processhttps://docs.python.org/3/library/multiprocessing.html
concurrency.futures.ProcessPoolExecutorhttps://docs.python.org/3/library/concurrent.futures.html
built-in map() functionhttps://docs.python.org/3/library/functions.html#map
map() functionhttps://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.Executor.map
wait() functionhttps://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.wait
as_completed() functionhttps://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.as_completed
Learn morehttps://marvelous-writer-6152.ck.page/c9de62c42a
Unix Wordshttps://en.wikipedia.org/wiki/Words_(Unix)
One Million English Words (9.9 megabytes)https://raw.githubusercontent.com/A35G/gmCaptcha/master/dictionary/1.1million%20word%20list.txt
readlines() functionhttps://docs.python.org/3/library/io.html#io.IOBase.readlines
hashlib.ha512() functionhttps://docs.python.org/3/library/hashlib.html
hexdigest() functionhttps://docs.python.org/3/library/hashlib.html#hashlib.hash.hexdigest
math.ceil() mathhttps://docs.python.org/3/library/math.html#math.ceil
Python Concurrency Mind Mapshttps://marvelous-writer-6152.ck.page/8f23adb076
common usage patternshttps://superfastpython.com/processpoolexecutor-usage-patterns/
built-in map() functionhttps://docs.python.org/3/library/functions.html#map
map() functionhttps://superfastpython.com/processpoolexecutor-map/
module method as_completed()https://superfastpython.com/processpoolexecutor-as-completed/
add_done_callback() functionhttps://superfastpython.com/processpoolexecutor-add-callback/
wait for all tasks in the process pool to completehttps://superfastpython.com/processpoolexecutor-wait-tasks/
concerned with the first result returnedhttps://superfastpython.com/processpoolexecutor-first-result/
https://superfastpython.com/pppej-incontent
Learn morehttps://superfastpython.com/pppej-incontent
number of processes in the process poolhttps://superfastpython.com/processpoolexecutor-number-of-workers/
source code for the ProcessPoolExecutorhttps://github.com/python/cpython/blob/3.10/Lib/concurrent/futures/processes.py
get_all_start_methods() functionhttps://docs.python.org/3/library/multiprocessing.html#multiprocessing.get_all_start_methods
get_start_method() functionhttps://docs.python.org/3/library/multiprocessing.html#multiprocessing.get_start_method
create a context and pass it to the process poolhttps://superfastpython.com/processpoolexecutor-multiprocessing-context/
get_context() functionhttps://docs.python.org/3/library/multiprocessing.html#multiprocessing.get_context
initializer functionhttps://superfastpython.com/processpoolexecutor-initializer/
Future objectshttps://docs.python.org/3/library/concurrent.futures.html#future-objects
life-cycle of a Futurehttps://superfastpython.com/processpoolexecutor-future-objects/
cancel a task that has not yet started runninghttps://superfastpython.com/processpoolexecutor-cancel-task/
how to add a callback to a Futurehttps://superfastpython.com/processpoolexecutor-add-callback/
cpython/Lib/concurrent/futures/process.pyhttps://github.com/python/cpython/blob/3.10/Lib/concurrent/futures/process.py
cpython/Lib/concurrent/futures/_base.pyhttps://github.com/python/cpython/blob/3.10/Lib/concurrent/futures/_base.py
context manager when using process poolshttps://superfastpython.com/processpoolexecutor-context-manager/
use the map() functionhttps://superfastpython.com/processpoolexecutor-map/
in the order that tasks are completedhttps://superfastpython.com/processpoolexecutor-as-completed/
pure functionshttps://en.wikipedia.org/wiki/Pure_function
__main__ — Top-level code environmenthttps://docs.python.org/3/library/__main__.html
serialization process called picklehttps://docs.python.org/3/library/pickle.html
normal Python objects can be pickledhttps://docs.python.org/3/library/pickle.html#what-can-be-pickled-and-unpickled
pickle modulehttps://docs.python.org/3/library/pickle.html
print() statementhttps://docs.python.org/3/library/functions.html#print
multiprocessing.Event objecthttps://docs.python.org/3/library/multiprocessing.html#multiprocessing.Event
freeze_support() functionhttps://docs.python.org/3/library/multiprocessing.html#multiprocessing.freeze_support
Perhaps ThreadPoolExecutor is a better fit for your specific problemhttps://superfastpython.com/threadpoolexecutor-in-python/
Multiprocessing in Python: The Complete Guidehttps://superfastpython.com/multiprocessing-in-python/
reactive programminghttps://en.wikipedia.org/wiki/Reactive_programming
ProcessPoolExecutor Jump-Starthttps://superfastpython.com/pppej-further-reading
Concurrent Futures API Interview Questionshttps://superfastpython.com/python-concurrent-futures-interview-questions/
ProcessPoolExecutor PDF Cheat Sheethttps://marvelous-writer-6152.ck.page/c9de62c42a
Effective Pythonhttps://amzn.to/3GpopJ1
Python in a Nutshellhttps://amzn.to/3m7SLGD
Python ProcessPoolExecutor: The Complete Guidehttps://superfastpython.com/processpoolexecutor-in-python/
Python ThreadPoolExecutor: The Complete Guidehttps://superfastpython.com/threadpoolexecutor-in-python/
Python Multiprocessing: The Complete Guidehttps://superfastpython.com/multiprocessing-in-python/
Python Pool: The Complete Guidehttps://superfastpython.com/multiprocessing-pool-python/
concurrent.futures - Launching parallel taskshttps://docs.python.org/3/library/concurrent.futures.html
Multiprocessing — Process-based parallelismhttps://docs.python.org/3/library/multiprocessing.html
Thread (computing), Wikipediahttps://en.wikipedia.org/wiki/Thread_(computing)
Process (computing), Wikipediahttps://en.wikipedia.org/wiki/Process_(computing)
Thread Pool, Wikipediahttps://en.wikipedia.org/wiki/Thread_pool
Futures and promises, Wikipediahttps://en.wikipedia.org/wiki/Futures_and_promises
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