Christopher Ariza
Employers on the program
- 2019–2025Research Affiliates5 talks
Appearances by year
- PyCon (national Python conferences)
- PyData
- SciPy Conference (Scientific Computing with Python)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| May 14, 2025 | PyCon US 2025 | PyCon (national Python conferences) | speaker | Elastic Generics: Flexible Static Typing with TypeVarTuple and Unpack as Research Affiliates Since Python 3.5, generic tuples can be parameterized as either orderings of component types (e.g. tuple[int, str] ) or unbound sequences of a single type (e.g. | Video |
| Jul 10, 2023 | SciPy 2023 | SciPy Conference (Scientific Computing with Python) | speaker | Out-Performing NumPy is Hard: When and How to Try with Your Own C-Extensions as Research Affiliates While the NumPy C API lets developers write C that builds or evaluates arrays, just writing C is often not enough to outperform NumPy. NumPy's usage of Single…Show lessWhile the NumPy C API lets developers write C that builds or evaluates arrays, just writing C is often not enough to outperform NumPy. NumPy's usage of Single Instruction Multiple Data routines, as well as multi-source compiling, provide optimizations that are impossible to beat with simple C. | |
| Apr 19, 2023 | PyCon US 2023 | PyCon (national Python conferences) | speaker | Building NumPy Arrays from CSV Files, Faster than Pandas as Research Affiliates Twenty years ago, in 2003, Python 2.3 was released with csv.reader() , a function that provided support for parsing CSV files. | Video |
| Apr 27, 2022 | PyCon US 2022 | PyCon (national Python conferences) | speaker | Employing NumPy's NPY Format for Faster-Than-Parquet DataFrame Serialization as Research Affiliates Over 14 years ago the first NumPy Enhancement Proposal (NEP) defined the NPY format (a binary encoding of array data and metadata) and the NPZ format (zipped…Show lessOver 14 years ago the first NumPy Enhancement Proposal (NEP) defined the NPY format (a binary encoding of array data and metadata) and the NPZ format (zipped bundles of NPY files). | Video |
| Dec 3, 2019 | PyData Los Angeles 2019 | PyData | speaker | Fitting Many Dimensions into One: The Promise of Hierarchical Indices for Data Beyond Two Dimensions as Research Affiliates Recent versions of Pandas have warned users of the imminent deprecation of the Panel, Panda’s name-sake data structure for storing three-dimensional data. | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Brandt Bucher | 3 | — | 2025 |
| Josh Weissbock | 3 | — | 2025 |
| Łukasz Langa | 3 | — | 2025 |
| Maria Jose Molina Contreras | 3 | — | 2025 |
| Pablo Galindo Salgado | 3 | — | 2025 |
| Paul Ganssle | 3 | — | 2025 |
| Reuven M. Lerner | 3 | — | 2025 |
| Tadeh Hakopian | 3 | — | 2025 |
| Al Sweigart | 2 | — | 2025 |
| Alex Monahan | 2 | — | 2025 |
| Andres Pineda | 2 | — | 2025 |
| Daniel Hernández Méndez | 2 | — | 2025 |
| Glyph | 2 | — | 2025 |
| Hynek Schlawack | 2 | — | 2025 |
| Jason Fried | 2 | — | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.