Josh Weissbock
Appearances by year
- PyCon (national Python conferences)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| May 14, 2025 | PyCon US 2025 | PyCon (national Python conferences) | speaker | Missing the Apex: Predicting F1 Races with Python Inspired by, and iterates upon, a paper published in an academic journal, this talk walks throughs through how I used Python to predict Fomula 1 (F1) races. | Video |
| Apr 19, 2023 | PyCon US 2023 | PyCon (national Python conferences) | speaker | Using Python to Help the UnhousedHow a group of volunteers from around the globe use Python to help an NGO in Victoria, BC, Canada to help the unhoused. By building a tool to find social media…Show lessHow a group of volunteers from around the globe use Python to help an NGO in Victoria, BC, Canada to help the unhoused. By building a tool to find social media activity on unhoused in the Capitol Region, the NGO can use a dashboard of results to know where to move their limited resources. | Video |
| Apr 27, 2022 | PyCon US 2022 | PyCon (national Python conferences) | speaker | Distributed Web Scraping in PythonWeb scraping is easy to do in Python, but it quickly becomes tedious when routinely running large batch scraping jobs. This talk looks at how to build a…Show lessWeb scraping is easy to do in Python, but it quickly becomes tedious when routinely running large batch scraping jobs. This talk looks at how to build a distributed web scraper to reduce batch scraping job times and improve durability of your code as well as lessons learned & stories along the way. | Video |
| Apr 15, 2020 | PyCon US 2020 (Online) | PyCon (national Python conferences) | speaker | Distributed Web Scraping in PythonWeb scraping is easy in Python when it is just a single web page. It becomes much more difficult when you regularly have to scrape 10,000s webpages efficiently,…Show lessWeb scraping is easy in Python when it is just a single web page. It becomes much more difficult when you regularly have to scrape 10,000s webpages efficiently, quickly and ensuring minimal failures from traditional network issues. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Łukasz Langa | 4 | — | 2025 |
| Maria Jose Molina Contreras | 4 | — | 2025 |
| Pablo Galindo Salgado | 4 | — | 2025 |
| Paul Ganssle | 4 | — | 2025 |
| Reuven M. Lerner | 4 | — | 2025 |
| Brandt Bucher | 3 | — | 2025 |
| Christopher Ariza | 3 | — | 2025 |
| Jimmy Lai | 3 | — | 2025 |
| Neeraj Pandey | 3 | — | 2025 |
| Russell Keith-Magee | 3 | — | 2025 |
| Tadeh Hakopian | 3 | — | 2025 |
| William Woodruff | 3 | — | 2025 |
| A. Jesse Jiryu Davis | 3 | — | 2023 |
| Calvin Hendryx-Parker | 3 | — | 2023 |
| Débora Azevedo | 3 | — | 2023 |
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.