Python, every mention
8 scenes (2022) · ← back to Python
tap a year for its mentions
every year 2022 anyone Peter Wang 20Wes McKinney 14Matt Turck 9Jeremy Howard 8Gilad Lotan 6Florian Douetteau 6Solmaz Shahalizadeh 5Jordan Tigani 5Chris Wiggins 5Ben Rogojan (Seattle Data Guy) 5
Verbatim, from the transcripts: the passages where Python comes up
Fundamentals of Data Engineering | Joe Reis and Matt Housley
- ▶ 14:41 Matt Housley Or, yeah, yeah, data engineers really need to know Spark, or they need to know Python, or they need to know Pandas, or Snowflake, or whatever technology it is.
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 4:14 Viraj Parekh To where we are now, where we have folks like Steve State Startups, all the way through larger retailers that encode their business logic in Python with these Airflow DAGs.
- ▶ 4:25 Viraj Parekh And, you know, Airflow was designed for this kind of Python-based job scheduling, but if we think about the personas we went through before, that's really only the first step, and orchestration's a little more than that, or a lot more than… 2 times in the scene
- ▶ 7:26 Pete DeJoy And, you know, there, there definitely is a theme there in that, you know, Airflow kind of emerged as this really incredible, we think the best in the world tool for Python
- ▶ 18:12 Pete DeJoy So I can see both my tasks, i.e. those SQL queries and Python functions I just ran, predict user trends, and I can introspect the tables that they're actually producing in my snowflake instance under the hood.
- ▶ 22:52 Pete DeJoy So, I mean, we have a Python, or excuse me, like a CLI client that allows you to just run those deployments.
A Novel Approach to Data Quality for the Modern Data Stack | Datafold’s Gleb Mezhanskiy
- ▶ 15:58 Gleb Mezhanskiy We can also run it in Python.
The Next Layer of the Modern Data Stack | dbt's Tristan Handy
- ▶ 21:49 Tristan Handy It's executing on Snowflake, or this is a Python-based data transformation.