Reuven M. Lerner
where else to find them
what they talk about
all 10 in the filters
where they keep going back
- PyCon US7 editions2020–2026
- PyData Tel Aviv2 editions2024–2025
all 4 in the filters
on a stage with
- André Robergeonce
- Anthony Shawonce
- Chiin-Rui Tanonce
all 18 in the filters
who talks about the same things
- Trey Hunner23 talks
- James Powell43 talks
- Matt Harrison16 talks
- Cheuk Ting Ho61 talks
- Nina Zakharenko15 talks
- Ian Ozsvald17 talks
| title | conference | date |
|---|---|---|
| Tutorial Sneak Peak: "All about decorators" | PyCon US 2026 | 2026-05-13 |
Shows how decorators are implemented and what the syntax actually does behind the scenes, steps through building multiple concrete decorators from simple… | ||
| Marimo - A new notebook | PyData Tel Aviv 2025 | 2025-11-05 |
Marimo claims predictable, spreadsheet‑like single-assignment variables that auto‑percolate changes through dependent cells, builtin widgets (sliders, radios)… | ||
| The PyArrow revolution in Pandas | PyCon US 2025 | 2025-05-16 |
Pandas experiments with PyArrow show concrete wins and clear trade‑offs: CSV reads drop from ~103s to ~8.6s (≈10×), binary formats shrink a 2.2GB CSV to… | ||
| Comprehending Comprehensions | PyCon US 2025 | 2025-05-16 |
Live notebook demonstrations show working code for list comprehensions, set comprehensions, dict comprehensions and nested comprehensions plus generator… | ||
| Times and Dates in Pandas | PyData Tel Aviv 2024 | 2024-09-25 |
Pandas code converts CSV strings to real datetimes with pd.to_datetime and read_csv(parse_dates=...), shrinking NYC taxi timestamps from ~977 MB as strings to… | ||
| All about decorators | PyCon US 2024 | 2024-05-15 |
Shows exactly what gets built and what works: writes a bunch of decorators that wrap functions, uses splat args and double-splat kwargs so wrappers accept any… | ||
| Times and dates in Pandas | PyCon US 2024 | 2024-05-15 |
Pandas converts messy timestamp text into real datetime64 and timedelta64 types using pd.to_datetime, and can parse on import with read_csv parse_dates or the… | ||
| Comprehending comprehensions | PyCon US 2023 | 2023-04-19 |
Claims that comprehensions are both essential and often misunderstood get demonstrated with concrete code: live Jupyter notebooks pushed to GitHub show list… | ||
| Generators, coroutines and nanoservices | PyCon US 2023 | 2023-04-19 |
Generator functions have been a part of Python for many years already, and are a well known technique for creating iterators. But generators have a few… | ||
| What happens when you import a module? | PyCon Israel 2022 | 2022-06-28 |
Explains exactly how import works: Python checks sys.modules cache, walks sys.meta_path finders (pathfinder, builtins, frozen), gets a ModuleSpec, uses the… | ||
| Diversity & Inclusion Workgroup | PyCon US 2022 | 2022-04-27 |
Started November 2020 with 20 members, the workgroup documents concrete election problems: 2020 had four board seats and 26 nominees yet all winners are from… | ||
| Understanding attributes (Or: They're not nearly as boring as you think!) | PyCon US 2022 | 2022-04-27 |
Explains exactly what the dot does and why attributes drive Python behavior with concrete examples: variables vs object attributes, a population counter moved… | ||
| Working with dates and times in Pandas | Conf42 Python 2021 | 2021-05-27 |
Live coding in a Jupyter notebook shows reading taxi.csv with pd.read_csv and using parse_dates to convert pickup/dropoff strings into 64-bit timestamps… | ||
| When is an exception not an exception? Using warnings in Python | PyCon US 2021 | 2021-05-14 |
Shows concrete APIs and behaviors: uses warnings.warn with categories and stacklevel to point to the caller, explains built-in categories and why deprecation… | ||
| Education | PyCon US 2021 | 2021-05-14 |
Session reports specific tools and outcomes: a traceback helper called python -m friendly explains errors in English and French, covers ~200 tested cases, and… | ||
| Trainers | PyCon US 2021 | 2021-05-14 |
A two-hour summit catalogs concrete tactics for remote Python training: role splits like a supporting instructor role and helpers, a scaffolding cloud server… | ||
| Function dissection lab -- learn how functions | PyCon US 2020 | 2020-04-15 |
Asserts that Python treats functions as objects and demonstrates the mechanics: inspect __code__ and its fields (co_argcount, co_varnames, co_flags… | ||
| Python Trainers Summit - Hatchery 2020 | PyCon US 2020 | 2020-04-15 |
A practical summary of what actually happens and what to expect: live coding often uses a terminal mirroring setup (tmux) so students see only one window while… | ||
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