Neeraj Pandey
Neeraj is a polyglot. Over the years, he has worked on a variety of full-stack software and data-science applications, as well as computational arts and Quantitative finance projects, and likes the challenge of creating new tools and applications.
Sessions
This tutorial is crafted for those new to the concepts of concurrent programming, offering a deep dive into the intricacies of parallelism and concurrency in Python. We will cover basic threading, multiprocessing, concurrent.futures to the advanced asynchronous I/O capabilities of AsyncIO.
Async IO is a concurrent programming design that has received dedicated support in Python; whereas the package in the Python standard library asyncio provides a foundation and API for running and managing coroutines. Whether you're handling I/O-bound or CPU-bound tasks, this tutorial will equip you with the knowledge to write efficient, robust, and high-performing Python applications.
Basic Python programming experience is needed.
This tutorial is crafted for those new to the concepts of concurrent programming, offering a deep dive into the intricacies of parallelism and concurrency in Python. We will cover basic threading, multiprocessing, concurrent.futures to the advanced asynchronous I/O capabilities of AsyncIO.
Async IO is a concurrent programming design that has received dedicated support in Python; whereas the package in the Python standard library asyncio provides a foundation and API for running and managing coroutines. Whether you're handling I/O-bound or CPU-bound tasks, this tutorial will equip you with the knowledge to write efficient, robust, and high-performing Python applications.
Basic Python programming experience is needed.