Python, every mention

Fireside Chat: Wes McKinney (Founder & CEO, Ursa Computing) with Matt Turck (Partner, FirstMark) Feb 1, 2021 · 14 mentions

• ▶ 0:22 Wes McKinney So pandas serve sort of as a, as a Swiss army knife for, for data access, data, data manipulation, analytics, and data visualization in Python. 4 times in the scene
• ▶ 2:50 Wes McKinney So it, people use it for, uh, not only loading the data into Python, but also the data cleaning, the, you know, what we call data preparation.
• ▶ 4:25 Wes McKinney Um, so it's, it's, you know, tends to be interactive, uh, very flexible, uh, and enables you to, to work with, uh, you know, datasets from a general purpose programming language like Python. 2 times in the scene
• ▶ 9:10 Wes McKinney So, uh, you know, I was interested in this problem and I'd experienced it from the perspective of pandas and the Python ecosystem, like wanting to build bridges from Python into all of these other, all of these other systems. 2 times in the scene
• ▶ 13:58 Wes McKinney So traditionally data comes into your, uh, into your Python interpreter, into your, into your R interpreter, your process, and you immediately have to convert it into, um, into some other, into some other format.
• ▶ 16:46 Wes McKinney They have one thing to think about and we can, on the Python side, we can deal with like, okay, you know, I know how to optimize getting data into pandas so we can maintain that for them and their developers don't have to solve that…
• ▶ 18:12 Wes McKinney They said, you know, make Python work better with, with all of this big data.
• ▶ 21:50 Wes McKinney Spark, uh, Spark supports Arrow as a, as an interchange format, and it's used heavily in the interface with Python and R, for example. 2 times in the scene