LA STRUTTURA DELLA LETTERA✍🏻
La corretta struttura di una lettera: la conosci?
#writingtips#scrittura
Conosci la struttura della lettera? 📭
Certo, nelle lettere personali possiamo scrivere come vogliamo ma forse ti può essere utile sapere quale sia la corretta struttura dell'epistola.
✅ Luogo e data.
✅ Apertura (una formula di saluto, l'inizio della lettera.
✅ Motivazione: il motivo che ci porta a scrivere.
✅ Contenuto centrale, trattazione.
✅ Conclusione e saluti.
✍🏻 Le lettere sono una tipologia scrittura terapeutica e la tradizione epistolare è davvero interessante.
Se vuoi saperne di più ti consiglio il mio libro Scrivere per guarire.📕📕📕
@writingway
🙌Se hai trovato interessante questo post e pensi possa piacere ad altri, inoltralo cliccando sulla freccia a destra.
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https://docs.python.org/3/library/subprocess.html
The #subprocess module allows you to spawn new #processes, connect to their input/output/error pipes, and obtain their return codes. This module intends to replace several older #modules and #functions.
#python
https://pymotw.com/3/asyncio/executors.html
Combining Coroutines with Threads and Processes
A lot of existing libraries are not ready to be used with #asyncio natively. They may block, or depend on concurrency features not available through the module. It is still possible to use those libraries in an application based on asyncio by using an #executor from #concurrent.futures to run the code either in a separate thread or a separate process.
#Threads
The #run_in_executor() method of the event loop takes an executor instance, a regular callable to invoke, and any arguments to be passed to the callable. It returns a Future that can be used to wait for the function to finish its work and return something. If no executor is passed in, a #ThreadPoolExecutor is created. This example explicitly creates an executor to limit the number of worker threads it will have available.
#Processes
A ProcessPoolExecutor works in much the same way, creating a set of worker #processes instead of threads. Using separate processes requires more system resources, but for computationally-intensive operations it can make sense to run a separate task on each CPU core.
#learn