PyCon SE 2022
| title | author | length |
|---|---|---|
| Conference Opening | Christine Winter | 06m |
Conference org starts in 2013 and follows a tight seasonal loop of venue scouting, CFP, summer silence and September rush, run by volunteers and sponsors, and… | ||
| Reinventing Machine Learning with Transformers and Hugging Face | Julien Simon | 01h 09m |
Hugging Face demonstrates building and deploying Transformer-based apps using the Transformers library, the Hub, AutoTrain and Diffusers: the Hub hosts 83,000… | ||
| I hate writing tests, that's why I use Hypothesis | Cheuk Ting Ho | 27m |
Demonstrates using Hypothesis to replace example-based tests with generated inputs, showing a real run where pytest plus Hypothesis finds a crash on an empty… | ||
| Lightning Talks | 43m | |
Eight five‑minute demos show concrete wins and gotchas: Docker notes urge read-only filesystem, non‑root users and running pip compile to pin exact versions… | ||
| From crontab to celery with no regrets | Marco Pavanelli | 32m |
A company migrates hundreds of messy cron jobs into a Celery-based system and proves it handles backups, large imports/exports, session cleanup and long CPU… | ||
| A Python Introduction to Behavior Driven Development | Meder Kamalov | 21m |
Explains how to write executable requirements with Gherkin and run them in Python using behave, tying feature files to step implementations, backgrounds and… | ||
| Interactive Lectures and Active Learning with Python in Scientific | Jonas Lindemann | 34m |
Shows active learning raises retention (10% read, 20% hear, 30% see, 70% say/write, 90% do) and swaps static slides for executable notebooks. Uses Google Colab… | ||
| "Python for Everyone", yes it is | Anwesha Das | 30m |
Community-run program trains immigrant and career‑changing women in practical Python skills through nine sessions (four offline, rest online), covering syntax… | ||
| Data Literacy | Magnus Perman | 51m |
Claims that only 11% of employees feel confident with data and 67% of executives avoid their analytics tools drives a focus on upskilling, governance and… | ||
| PyScript - what you need to know | Nicholas H. Tollervey | 32m |
PyScript embeds real Python compiled to WebAssembly (defaults to Pyodide) and exposes it via simple HTML tags so browser pages can run Python, show matplotlib… | ||
| Enhance your work with graph database | Tetiana Kolmychek | 52m |
Company with 15M users and 14M catches moves a friends-of-friends email feature from slow SQL joins (up to 15s) and hourly caching to a Neo4j graph model with… | ||
| Detecting Wireless Jammers and Hackers with JADE | Caner Kilinc | 28m |
Claims an automated, data-driven jammer detector called JADE that uses hourly operator cell-level KPIs, TensorFlow LSTM autoencoders plus RSSI prediction and… | ||
| Pytest vs Robot, A battle or Co existence | Vivek Mohan | 31m |
Compares concrete examples: simple GitHub and NASA API status-code tests are implemented in pytest using pytest fixtures and run with the pytest-html plugin to… | ||
| Working smarter to fight cancer: using dunder special methods to automate | Ryan Hill | 31m |
Anocca builds an immune-therapy data platform with Django, Celery, PostgreSQL, Graphene-Django GraphQL, TypeScript React/Apollo, Docker/Kubernetes and MinIO… | ||
| Keeping up with the renewable energy transition | Samuel Eliasson Godonou | 31m |
Python framework that produces two-hour forecasts at five-minute resolution and predicts the critical 15–25 minute window used to size MFRR activations. It… | ||
| Building Python Data Apps using Gradio | Merve Noyan | 24m |
A practical tour of Gradio shows how to build UIs with a few lines of Python, instantiate an Interface or Blocks, and launch local, Colab or Hugging Face… | ||
| Chasing birds with code | Chayim Kirshen, Meir Shpilraien | 28m |
A working system captures an RTSP camera feed on a Raspberry Pi + camera, pushes frames into Redis Streams + Gears + RedisAI, runs a YOLO model inside Redis to… | ||
| Discover semantic topics in a collection of documents | Gabriela Zarzar Gandler | 57m |
Uses transformer embeddings (a Sentence-BERT multilingual model) plus sentence-transformers for document vectors, reduces dimensions with UMAP + HDBSCAN… | ||
| nothing matches | ||