Cheuk Ting Ho
where else to find them
what they talk about
all 17 in the filters
where they keep going back
- PyCon US5 editions2021–2025
- PyData London4 editions2019–2026
- PyData Paris2 editions2024–2025
all 18 in the filters
on a stage with
- Antonis Kalipetisonce
- Brian Douglasonce
- Georgi Keronce
all 23 in the filters
who talks about the same things
- James Powell43 talks
- Larry Hastings9 talks
- Vincent D Warmerdam22 talks
- Reuven M. Lerner24 talks
- Łukasz Langa15 talks
- Trey Hunner23 talks
| title | conference | date |
|---|---|---|
| Do you know how well your model is doing? Evaluate your LLMs | PyData London 2026 | 2026-06-05 |
Hands-on workshop that shows how to fine-tune a small GPT2 locally on GSM‑8K, run comparisons between two models (GPT2 and Qen) with Lighteval, and plug custom… | ||
| Backstage interview | PyData Paris 2025 | 2025-09-30 |
Developer advocate for JetBrains and a member of the board of directors of the Python Software Foundation, focused on conference outreach, blog posts, and… | ||
| Is coding assistant as good as we thought | PyData London 2025 | 2025-06-06 |
Claims that coding assistants boost productivity and test coverage, but evidence is specific: a homebuilt agent (a failed precursor) runs a deepseek LLaMA file… | ||
| Lightning Talks - Friday, May 16th | PyCon US 2025 | 2025-05-16 |
Rapid five minute reports: lightning talk tips and a beginner Humble Data workshop; a web app to catalog conference freebies at swag.dev; archery coaching… | ||
| Power up your Polars code with Polars extention | PyCon DE & PyData 2025 | 2025-04-23 |
Shows how to replace Python apply calls by writing Polars extensions in Rust using PyO3 and Maturin to register custom Polars expressions, implement… | ||
| Counting down for CRA: updates and expectations | PyData Paris 2024 | 2024-09-25 |
EU vote happens later this year with formal adoption possibly taking years; law carves out an open source steward category and adds supplier-style obligations… | ||
| PyO3 101 - Writing Python modules in Rust | PyCon US 2024 | 2024-05-15 |
Step‑by‑step demo of setting up a Cargo project setup and adding PyO3 to produce a native Python extension written in Rust, with live code that builds a small… | ||
| Acknowledging Women’s Contributions in the Python... | PyCon US 2024 | 2024-05-15 |
Data analysis of three long‑running Python podcasts finds 17% women guests after reviewing 666 episodes analyzed, so the team launches Hidden Figures of Python… | ||
| Making Python safer than ever | PyCon US 2024 | 2024-05-15 |
PSF funds PSF Security Developer-in-Residence and PyPI Safety & Security Engineer roles (backed by OpenSSF’s Alpha-Omega and AWS) and is now a CVE CNA for… | ||
| Let's build a BeeWare app that uses Django | DjangoCon US 2023 | 2023-10-16 |
Claims that a Django backend can be packaged into a native Python UI and deployed to desktops and phones using Briefcase and Toga are demonstrated end to end… | ||
| The Shadows That Follow AI Generative Models | Web Summer Camp 2023 | 2023-08-31 |
Lists recent tools like Stable Diffusion, ChatGPT, LLaMA, MidJourney and GitHub Copilot and shows concrete harms: majority of some model answers are wrong… | ||
| Day 2 Lightning Talks | DjangoCon Europe 2023 | 2023-05-29 |
A rapid sampler of concrete takeaways: a critique that “real developer” status is meaningless and impact matters more than clever code; actionable… | ||
| HTMX vs WASM - more backend or more frontend? | DjangoCon Europe 2023 | 2023-05-29 |
Compares two concrete approaches: running Python in-browser with Pyodide and PyScript demos (pip-install numpy/pandas in the browser, VM RAM ~4GB limit, big… | ||
| Power up your work with compiling and profiling | PyCon US 2023 | 2023-04-19 |
Workshop demonstrates using Numba to speed numeric Python: profiling with cProfile identifies backprop and element‑wise loops as hotspots, then applying Numba… | ||
| Trying No GIL on Scientific Programming | PyCon US 2023 | 2023-04-19 |
Last year, Sam Gross, the author of nogil fork on Python 3.9, demonstrated the GIL can be removed. For scientific programs which use heavy CPU-bound processes… | ||
| I Hate writing Tests, That's Why I Use Hypothesis | PyData Tel Aviv 2022 | 2022-12-13 |
Hypothesis is a Python property-based testing library that uses composable strategies for inputs and demonstrates with a round‑trip encode/decode example that… | ||
| I hate writing tests, that's why I use Hypothesis | PyData Global 2022 | 2022-12-01 |
Argues that Hypothesis replaces hand-picked examples with property-based testing that generates inputs and finds edge cases, using pytest integration via the… | ||
| Trying No GIL on Scientific Programming | PyData Global 2022 | 2022-12-01 |
Claim: nogil fork on Python 3.9 can remove the GIL and speed CPU‑bound scientific code. Experiment uses scikit‑learn, NumPy and SciPy examples, C extensions… | ||
| Using Numba Effectively Today | PyData NYC 2022 | 2022-11-09 |
Numba is a JIT compiler for NumPy that compiles functions on first use so the initial call is slower but subsequent calls run much faster; use @jit or the… | ||
| I hate writing tests, that's why I use Hypothesis | PyData NYC 2022 | 2022-11-09 |
Claims that property-based testing with Hypothesis replaces example thinking, shows concrete tools: given and strategies drive generation, ghostwriter… | ||
| I hate writing tests, that's why I use Hypothesis | PyCon SE 2022 | 2022-11-03 |
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… | ||
| Picking What to Watch Next: Build a Recommendation System | PyData London 2022 | 2022-06-17 |
Builds an item‑based collaborative filtering recommender by turning the dataset into an m×n rating matrix, filtering low‑activity users and unpopular items… | ||
| Lightning Talks - Day 1 | PyCon US 2022 | 2022-04-27 |
Five-minute slots report concrete claims and working tools: Devron demos a way to do “data science without data” and is hiring; trustor (Python 3.10 required)… | ||
| Knowledge graph data modelling with TerminusDB | PyCon US 2022 | 2022-04-27 |
Hands‑on workshop that turns two CSVs into a working knowledge graph in TerminusDB: build a schema (Employee document, Address subdocument, Team enum), load… | ||
| How to be Pythonic? Design a Query Language in Python | Conf42 Python 2021 | 2021-05-27 |
TerminustDB ships a Python client called WOQLpy that builds native WOQL queries as Python objects, converts results to pandas DataFrames, and renders… | ||
| Maintainers | PyCon US 2021 | 2021-05-14 |
Collection of concrete maintainer tactics and failures: GitHub Actions recipes that run Lighthouse, draft releases with release-drafter, and an take-action… | ||
| Under and Dunder - Python secret functions | PyCon India 2020 | 2020-10-02 |
Covers Python’s single-underscore convention and double-underscore name mangling, shows how dir() exposes attributes, and demonstrates concrete dunder methods… | ||
| Under and Dunder - Python secret functions | PyConline AU 2020 | 2020-09-04 |
Shows how Python reveals hidden methods by uses dir to inspect dunder methods and demonstrates concrete effects for __getitem__, __iter__ and __next__… | ||
| Open-source in the eyes of a Minority Contributor | PyData Fest Amsterdam 2020 | 2020-06-15 |
Covers concrete wins and gaps: built a Python client for TerminusDB and runs frequent Twitch tutorials, started contributing at a Bloomberg sprint where… | ||
| Do we have a diversity problem in Python community | PyCon UK 2019 | 2019-09-13 |
Counts from a video-review of conference talks and a small survey find concrete gaps: most European conferences show 75%+ male speakers by gender inference… | ||
| 3 things about Chatbot (you don't have to learn it the hard way) | PyData London 2019 | 2019-07-12 |
Three practical takeaways: a chatbot needs NLP, a dialog manager, scripted content and integrations and those are the things that take most time to build not… | ||
| Launch Jupyter to the Cloud: an example of using Docker and Terraform | PyData Berlin 2018 | 2018-07-06 |
Deploys a Jupyter notebook on GCP by building a Docker image (swapping to GPU variants), writing a startup shell that installs drivers and Docker, and… | ||
| Case Study in Travel Business - Time Series Analysis with Seasonal Data | PyData Amsterdam 2018 | 2018-05-25 |
Case study on B2B worldwide travel bookings shows a concrete pipeline: decompose series into trend seasonality and noise using the open source Seasonal library… | ||
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