Daniel Chen
where else to find them
no profile links on file
what they talk about
all 4 in the filters
where they keep going back
- PyData DC2 editions2016–2018
all 5 in the filters
on a stage with
- André Robergeonce
- Chiin-Rui Tanonce
- Kirby Urneronce
all 5 in the filters
who talks about the same things
- Reuven M. Lerner24 talks
- Tracy Teal7 talks
- Joe Cheng10 talks
- Allen Downey9 talks
- Mario Annau4 talks
- Marc Garcia9 talks
| title | conference | date |
|---|---|---|
| Tips to Level-Up Your Shiny for Python Applications | PyData Global 2024 | 2024-12-03 |
Built an adaptive filter component on Shiny for Python that prevents empty DataFrames by having filters update each other, using pandas Index.intersection… | ||
| Install Python. Quarto Render All the Things | PyData NYC 2022 | 2022-11-09 |
Shows how to get Python installed and use Quarto (the uploader description: Quarto built on Pandoc) to run live code, convert notebooks and qmd files, and… | ||
| 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… | ||
| Cleaning and Tidying Data in Pandas | PyData DC 2018 | 2018-11-16 |
Shows concrete cleaning steps using pandas: loading files with read_csv, inspecting df.head/df.info, reshaping with pd.melt() to turn wide tables into long… | ||
| Python useRs | PyData DC 2016 | 2016-10-07 |
Practical comparison of workflows and failures: example datasets are Ebola, a survey set, and Gapminder; Python demos use pandas, Jupyter/Anaconda… | ||
| Introduction to Pandas | PyData Carolinas 2016 | 2016-09-14 |
PyData Carolinas 2016
This tutorial aims to expose future data analysis with the Python Pandas library. The tutorial is meant for absolute beginners to Pandas… | ||
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