Introduction to Batch APIs In modern Python applications, it’s common to access remote API using REST or other web-based technologies. Batch APIs are capable of processing multiple requests with a single call. You can use batch APIs to reduce the number of network calls to the remote service. This is ideal when you have to […]
Using Asyncio and Batch APIs for Remote Services Read More »
Most CPU manufacturers are creating multi-core CPUs now. Even cell phones come with multiple cores! Python threads can’t use those cores because of the Global Interpreter Lock. Starting in Python 2.6, the multiprocessing module was added which lets you take full advantage of all the cores on your machine. In this article, you will learn
Python 101 – Creating Multiple Processes Read More »
The concurrent.futures module was added in Python 3.2. According to the Python documentation it provides the developer with a high-level interface for asynchronously executing callables. Basically concurrent.futures is an abstraction layer on top of Python’s threading and multiprocessing modules that simplifies using them. However it should be noted that while the abstraction layer simplifies the
Python 3 Concurrency – The concurrent.futures Module Read More »
The multiprocessing module was added to Python in version 2.6. It was originally defined in PEP 371 by Jesse Noller and Richard Oudkerk. The multiprocessing module allows you to spawn processes in much that same manner than you can spawn threads with the threading module. The idea here is that because you are now spawning
Python 201: A multiprocessing tutorial Read More »
The threading module was first introduced in Python 1.5.2 as an enhancement of the low-level thread module. The threading module makes working with threads much easier and allows the program to run multiple operations at once. Note that the threads in Python work best with I/O operations, such as downloading resources from the Internet or
Python 201: A Tutorial on Threads Read More »
The asyncio module was added to Python in version 3.4 as a provisional package. What that means is that it is possible that asyncio receives backwards incompatible changes or could even be removed in a future release of Python. According to the documentation asyncio “provides infrastructure for writing single-threaded concurrent code using coroutines, multiplexing I/O
Python 3 – An Intro to asyncio Read More »
Python has a number of different concurrency constructs such as threading, queues and multiprocessing. The threading module used to be the primary way of accomplishing concurrency. A few years ago, the multiprocessing module was added to the Python suite of standard libraries. This article will be focused on the threading module though.
Python Concurrency: An Intro to Threads Read More »
I managed to make it to three talks in the middle session. Here’s the list: “508 and You: Taking the Pain out of Accessibility” with Katie Cunningham, “Actors: What, Why, and How” with Donovan Preston and “Python Metaprogramming” with Nicolas Lara. I’ll see you after the jump!
PyCon 2010: Saturday Session 2 (early afternoon) Read More »