PyConDE & PyData Berlin 2019 | Parallel Programming

Tutorial PyConDE

An Introduction to Concurrency and Parallelism using Python Programming Language

Tanmoy Bandyopadhyay

Algorithms, Parallel Programming

Write simpler, faster code with Python concurrency and parallelism..

Tutorial PyData

CANCELED: Create CUDA kernels from Python using Numba and CuPy.

Valentin Haenel

Algorithms, Big Data, Data Science, Parallel Programming

Learn to program GPUs (e.g. Kernels) in Python with CuPy and Numba.

Talk PyConDE

Chips Made From Python

Dan Fritchman

Microcontrollers, Parallel Programming, Science, Makers

Chips Made From Python - Hardware description in Python (and friends), and their role in modern silicon

Talk PyConDE

Is it me, or the GIL?

Christoph Heer

Infrastructure, Parallel Programming, Visualisation

People often complain about the GIL, but does your application actually suffer from the GIL?

Talk PyData

Julia for Python

Simon Danisch

Data Science, Infrastructure, IDEs/ Jupyter, Parallel Programming

Julia is a new Language, that is fast, high level, dynamic and optimized for Data Science. Learn about Julia's strengths and how you can integrate it in your Python workflow!

Tutorial PyConDE

Parallel programming for python developers – Let’s Go(lang)

Dominik Henter, Jéssica Lins

Infrastructure, Networks, Parallel Programming

A tutorial about parallel programming in Go, from the perspective of a Python developer.

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