Pyconf A Framework For Efficient Pyconf A Framework For Efficient

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About on Pyconf A Framework For Efficient Pyconf A Framework For Efficient

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Beginning this year, the LHCb experiment at CERN's Large Hadron Collider will process 4 TBytes of data per second in real-time. Speaker: Cory Benfield One of the great strengths of the Python ecosystem is the enormous collection of powerful, flexible ... "Speaker: Matthew Rocklin Dask is a general purpose parallel computing system capable of Celery-like task scheduling, ... Speaker: Łukasz Langa The wait for the killer feature of Python 3 is over! Come learn about asyncio and the beauty of event loops, ... Paris Buttfield-Addison Imagine you're building a fancy robot-driven warehouse. Your pick, place, and packing robots need to get ... Algorithmic ideas, engineering tricks, and trivia behind CPython's new sorting algorithm [official version with broken audio on ...

SQLite is a capable database that can run production Django apps Speaker: Stephanie Kim Anyone who is interested in deep learning has gotten their hands dirty playing around with Tensorflow, ... Speaker: Kyle Knapp Writing quality Python code can be both tough and tedious. On top of the general design, there are many ... So, you want to build an AI-powered application in Python. In addition to the UI and database you would need in any application, ... Use my n-point checklist to become exponentially happier with your Python project by Max Kahan This year, I took over two ... "Speaker: Alex Orlov Are you running a Web application? Do you suffer from CPU bottlenecks that slow down your growth?

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Famous PyConf: A Framework for Efficient Configuration of Complex Workflows- Niklas Nolte | SciPy 2022 Profile
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"Speaker: Jason Myers Serverless Architectures that allow us to run python functions in the cloud in an event-driven parallel ... Serverless orchestration of async serverless workers in the cloud - Nikolay Grishchenko - (Ed Schofield) Dataframes are an abstraction that proven extremely useful for data analysis in dynamic languages like S, R, ... (Muhammad Sakib Khan Inan, Rubaiath E Ulfath) Time series data is everywhere. Across industries such as environmental ... (Nic Crouch, Jack Skinner) The Data & AI specialist track is all about the technology, skills, and practices that engineers, data ...

Latest News

Cory Benfield - Building Protocol Libraries The Right Way - PyCon 2016 Net Worth
Stay updated on Pyconf A Framework For Efficient Pyconf A Framework For Efficient's newest achievements.

Łukasz Langa - Thinking In Coroutines - PyCon 2016
Building, designing, teaching and training simulation environments for Machine Learning
Quicksort, Timsort, Powersort - PyCon US 2023 talk
PyCon PT 24 | Django, SQLite, and Production
Stephanie Kim - Exploring Deep Learning Framework PyTorch - PyCon 2018
Kyle Knapp - Automating Code Quality - PyCon 2018
Maarten Huijsmans: 5 Things we've learned building large APIs with FastAPI
[PyCon HK 2025] What are AI pipeline frameworks good for? - Mark Cohen
PyCon PT 2022 | Use my n-point checklist to become exponentially happier with your Python project
Alex Orlov Cython as a Game Changer for Efficiency PyCon 2017
Jason Myers Leveraging Serverless Architecture for Powerful Data Pipelines PyCon 2017
Serverless orchestration of async serverless workers - Nikolay Grishchenko - PyCon Israel 2019

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Last Updated: June 14, 2026

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Famous Matthew Rocklin   Dask A Pythonic Distributed Data Science Framework   PyCon 2017 Net Worth
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