Catching Tensor Shape Errors without Running Your Code
27 min

Catching Tensor Shape Errors without Running Your Code

PyCon - PyCon US 2023
Pradeep Srinivasan
machine-learning tensor-shapes type-checking python numpy pytorch debugging static-analysis ml-development broadcasting
Inside Your Web Framework: Intro to the ASGI Spec, Middleware and Apps
26 min

Inside Your Web Framework: Intro to the ASGI Spec, Middleware and Apps

PyCon - PyCon US 2023
Adrian Garcia Badaracco
asgi python web-framework middleware async event-driven-programming uvicorn api debugging application-lifecycle
You *Can* Take It With You: Packaging Your Python Code with Briefcase
32 min

You *Can* Take It With You: Packaging Your Python Code with Briefcase

PyCon - PyCon US 2023
Russell Keith-Magee
python packaging briefcase app-distribution cross-platform macos windows linux ios android web
A Per-Interpreter GIL: Concurrency and Parallelism with Subinterpreters
31 min

A Per-Interpreter GIL: Concurrency and Parallelism with Subinterpreters

PyCon - PyCon US 2023
Eric Snow
python concurrency parallelism gil subinterpreters python-3.12 programming-languages performance-optimization
Reproducible molecular simulations with Python
31 min

Reproducible molecular simulations with Python

PyCon - PyCon US 2023
Iván Pulido
python molecular-dynamics simulations scientific-computing openmm machine-learning ai reproducibility computational-chemistry computational-physics
Trying No GIL on Scientific Programming
30 min

Trying No GIL on Scientific Programming

PyCon - PyCon US 2023
Cheuk Ting Ho
python gil scientific-programming data-science performance multithreading cpu-bound sam-gross cpython pca clustering scikit-learn pandas
Testing Spacecraft with Pytest
31 min

Testing Spacecraft with Pytest

PyCon - PyCon US 2023
Dan Craig
pytest python testing mission-critical-software safety-critical-software fixtures hooks generators context-managers threading telemetry-streams
Transforming a Jupyter Notebook into a Reproducible Pipeline for ML Experiments
27 min

Transforming a Jupyter Notebook into a Reproducible Pipeline for ML Experiments

PyCon - PyCon US 2023
Rob de Wit
jupyter-notebooks machine-learning ml-pipelines reproducible-research data-science git dvc experiment-tracking python stable-diffusion
Consistency and Isolation for Python Programmers
25 min

Consistency and Isolation for Python Programmers

PyCon - PyCon US 2023
A. Jesse Jiryu Davis
python database consistency isolation sql mongodb transactions distributed-systems replication concurrency anomalies linearizability
Kill All Mutants! (Intro to Mutation Testing)
30 min

Kill All Mutants! (Intro to Mutation Testing)

PyCon - PyCon US 2023
Dave Aronson
mutation-testing testing software-quality code-coverage test-suites unit-testing python
Start Thinking Small: Next Level Machine Learning with TinyML and Python
32 min

Start Thinking Small: Next Level Machine Learning with TinyML and Python

PyCon - PyCon US 2023
Maria Jose Molina Contreras
tinyml machine-learning python micropython circuitpython embedded-systems microcontrollers predictive-maintenance iot sensors
Working Around the GIL with asyncio
45 min

Working Around the GIL with asyncio

PyCon - PyCon US 2023
Łukasz Langa
python asyncio gil multiprocessing shared-memory concurrency parallelism data-processing performance python-3.11 event-loop