~/conference

PyOhio 2024

date:2024-07-27..2024-07-28
location:Cleveland, United States
series:PyOhio · 11 editions
tags:[python]

python developers, web developers, data scientists, machine learning engineers, devops engineers, site reliability engineers, bioinformatics researchers

WebAssembly AI inferencing; PyO3 Rust extensions; pathlib file handling; Wagtail CMS with Django; Locust PostgreSQL load testing; pydantic complex type validation; asyncio by example; Kubernetes operations automation; JupyterLab bioinformatics extensions; Qiskit quantum computing; Discord bot development; dynamic C++ numeric integration

titleauthorlength
"Keynote"Steph Hippo38m
Keynote gives concrete, actionable career playbook: a guided exercise to map out your career, list three people who helped and whom you help, and a four-part…
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"Keynote: Brains Are Beautiful Liars"Trey Hunner41m
Brains constantly model the world and routinely misleads via cognitive shortcuts: shows sunk cost bias with a 30‑minute failed edit vs a <30‑minute re‑record…
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"Keynote: Changelong"Mariatta33m
Argues that big non-code changes — the change long of processes, governance, docs and tooling — require the same proposals, reviews and records as code. Gives…
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How to Do the Same Thing Over and Over Again and Yield Different ResultsJessica Garson28m
Automates Elasticsearch index updates using GCP Cloud Functions + Cloud Scheduler to refresh time-sensitive datasets (example: Boston Celtics game results) and…
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"Python ‹3 Rust"Moshe Zadka28m
Rust code implements a tiny validator that checks whether a character appears at least N times with optional reset on newline or space, compiled and exposed to…
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"Wagtail: The Python CMS Taking the World by Storm"Vince Salvino30m
Wagtail is a Django‑based CMS that claims rapid growth and real-world use — NASA, Google Blogs, The Motley Fool and the NHS run public sites on it — and the…
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"Hot: Pathlib, Not: String Paths"Josh Schneider30m
Live demo replaces os.path strings with pathlib Path objects showing concrete methods and results: creating paths (Path, PurePath, platform-specific…
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"Serverless AI Inferencing Using Python and WebAssembly"Shivay Lamba31m
Demonstrates using Spin and the Python SDK (componenti_py) to compile Python handlers into WebAssembly components, build with spin build and deploy to a…
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"Python + Discord = Great Bots!"Alex Oladele33m
Builds a dice-rolling Discord bot using the Pycord library and Discord slash commands, reading the bot token from environment variables, using async handlers…
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Signal Processing in Electrochemistry with Python: Applications to the US Opioids CrisisRodrigo Silva Ferreira30m
Cyclic voltammetry data are processed with scipy.signal Savitzky‑Golay smoothing, FFT decomposition, and db4 wavelet denoising to recover peaks obscured by…
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"Building Vector-Symbolic Architectures with Python"Fabio Cumbo27m
Introduces hdlib, a Python library (GitHub and JOSS doi provided) that implements binary/bipolar hyperdimensional vectors, elementwise bind/permute/sum, and a…
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"Stress Less: Easy Database Load Testing Using Python and Locust"Miguel Johnson15m
Uses Locust plus psycopg3 to send SQL directly to PostgreSQL instead of HTTP endpoints, instrumenting calls with Locust’s request event so response times and…
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"Boosting Python Numeric Computations with Dynamic C++ Integration"Mandar Deshpande25m
Builds a C++ extension with pybind11 and a simple setup to compare identical for‑loop matrix multiplies called from Python, reporting a 79x improvement at…
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"How to Use Static Typing in Python with Type Hints, MyPy and Pydantic"Jack Bennett27m
Demonstrates using type hints together with MyPy and Pydantic to catch real errors: MyPy performs static analysis and flags incompatible assignments (e.g…
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"Zen Commandments"Paul Hutchings25m
The talk argues the Zen shaped Python by nudging design toward explicit is better than implicit and clearer intent, cites concrete milestones — original 1999…
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"Data Science & Agile: Strategies for Working Together"Alyssa Batula25m
Data science and Agile collide over timelines, access, and measurement; concrete fixes include using research spikes or a month‑long proof of concept instead…
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"Data Engineering: The World Between Worlds"Rainu Ittycheriah25m
One engineer's 5–6 year journey maps data engineering as the bridge between OLTP and OLAP, owning ingestion, transformation and serving cleaned features for ML…
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Efficient Path Planning for Search and Rescue Missions Using Neural NetworksKeith Martin Machina29m
A Python/Tkinter simulated robot generates a Amalgamated Cost Map (ACM) by merging static map features (road network, buildings, simplified slope) with dynamic…
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"Boosting Neuroimaging Analysis and Results Digestibility 🧠"Carlos A Aranibar27m
Uses MNE Python to load varied EEG formats, run ICA denoising, and export concise visuals and stats; demos include data from a consumer Muse headband (8…
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Mastering the Zen of Dev Experience: Kubernetes and the Art of SimplicityCalvin Hendryx-Parker31m
Opinionated open-source template called scaff generates a Django backend + Next.js frontend, pins deps with pip-tools, wires Postgres locally (CloudNativePG…
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Simplifying Python Web App Operations: Automating K8s Ops with Open SourceDavid Andersson29m
A simple Flask app is containerized two ways (handwritten Dockerfile and Canonical’s rockcraft) and deployed via Helm charts, fly.io, and Juju onto microk8s…
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"A Confession of My Python Sins"Jamie Bliss24m
Thirty percent of a catalog of real hacks: operator overloading used for pathlike and dictset APIs, decorators that turn functions into registration or…
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"Validating Complex Types Using Pydantic"Daniel Schelkoph28m
Shows how to turn typing metadata into runtime checks using Pydantic: use Annotated/TypeAlias plus Pydantic’s Field and after_validator to express constraints…
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"What Django Deployment is Really About"James Walters30m
Breaks Django deployment into four concrete concerns: static files (use manage.py collectstatic, or middleware like WhiteNoise and CDNs, and serve uploads from…
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"Snakes & Ladders: A Gentle Introduction to Generators and Iterators"JR Rickerson27m
Shows a working Snakes & Ladders implemented in Python that uses __iter__ and __next__ for the iterator protocol and yield and send for generators, with code…
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Device Authorization Flow 101: Logging in From Input Constrained DevicesJessica Temporal30m
Explains device authorization flow by actually building a Micropython badge (Badge 2040) game that posts high scores: device requests a device code and user…
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"So, I Got Some Code Working… Now How Do I Share It?!"Elaine Wong23m
Non-technical team copies 4–6 playlists daily into a Google Sheet; goal is one-click CSV export with proper metadata and secrets handled. Tests: Google Colab…
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"Asyncio by Example"Andrew Kubera30m
Covers async/await basics to practical patterns using Python's asyncio (running on 3.12.4) with live Jupyter demos: explains futures vs coroutines, how…
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"A Python Sequence (Un)Packing Primer"Brian Costlow27m
Explains that what looks like “multiple return” is actually tuple creation and unpacking, with the subtle rule that the comma makes the tuple and that nested…
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"Quantum Computing with Qiskit in Galaxy"Bryan Raubenolt30m
Integrates Qiskit runtime into Galaxy to run hybrid variational algorithms that generate initial protein folds from an amino‑acid sequence, send circuits to…
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"20 GOTO 10: How to Make Scrolling ASCII Art"Al Sweigart22m
Shows concrete programs called Zigzag, Starfield and Toggler that are implemented in Python using print() and loops, the random module, and time.sleep…
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"Lightning Talks"Er Ste01h 08m
Quick hits and working demos: a dataset library provides declarative datasets with caching via decorators so intermediate steps run once and dependencies are…
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Introducing Immortal Objects: Building Block Towards a Multi-core Python RuntimeAditya Mehra31m
Explains PEP 683’s concrete change: marking a small set of long-lived objects as immortal by setting a magic refcount 4294967295 (low 32 bits on 64-bit)…
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Enhancing the JupyterLab Notebook to Overcome Bioinformatics Analysis Challenges with GiNJayadev Joshi26m
A JupyterLab extension called GiN (Galaxy in Notebooks) connects to Galaxy via its API and renders actual Galaxy tool forms inside notebook cells so users can…
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Evolve or Die: How I Stopped Avoiding and Starting Loving Python UpgradesRuby Henry, Ph.d.26m
A tool called version up scans lockfiles and requirements.txt, flags deprecated stdlib modules and package imports, and estimates time to upgrade; demo shows…
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23, Python and Me: Using Machine Learning in Python to Analyze Consumer Genomics DataNathan Brouwer30m
Shows exactly what files look like and the Python stack used: pandas/Polars for large text files, scikit‑learn PCA and classifiers, and simple preprocessing to…
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"Technical Empathy"Leon Adato33m
Technical empathy means designing from the user’s perspective and verifying assumptions with concrete checks: provide alt text, captions, color‑blind…
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