Python, every mention
12 scenes (2017) · ← back to Python
tap a year for its mentions
every year 2017 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
A Fresh Approach to Technical Computing // Viral Shah & Stefan Karpinski, Julia Computing
- ▶ 3:59 Stefan Karpinski This is, this is, I'll talk about how we unify this, but this dichotomy, you know, that he observed is actually, has led to a pretty standard compromise in systems, and it's actually, it's actually very pragmatic, so for convenience, you… 4 times in the scene
- ▶ 10:50 Viral Shah Yeah, 800 people, there are 1600 contributed Julia packages, but people keep coming up to us and be like, oh, but, you know, R has 6000, or, you know, JavaScript has a bazillion or something, and, um, you know, the thing is that you could…
- ▶ 19:33 unnamed speaker I'm curious to know, people, ah, are using Python a lot because the libraries are so feature rich, it, ah, lets you write with less code, so how far will Julia go to that extent? 13 times in the scene
Three Loops of Analytics Efficiency // Sean Kandel, Trifacta (FirstMark's Data Driven)
- ▶ 6:41 Sean Kandel Uh, so probably still today the most common is using kind of hand coding tools, um, so programming languages, Python, Spark,
AI, Big Data, and Data Governance // Stan Christiaens, Collibra (FirstMark's Data Driven)
- ▶ 3:23 Stan Christiaens Uh, ideally, this translates all the way through, not into the technicalities of how to make a Python script, but actually into how does data get into an MBA program, for example, right?
- ▶ 12:24 Stan Christiaens Typing in Python commands in these notebooks and then immediately seeing a classifier or a visualization.
- ▶ 14:01 Stan Christiaens Right, and if you need to write a Python script or hack into the database of your own internal company, just do it.
Big Data as a Service // Prat Moghe, Cazena (FirstMark's Data Driven)
- ▶ 4:52 Prat Moghe It's Hadoop, it's Spark, it's Python, it's R, and it's like every three months there's a new open source project around it.
- ▶ 10:18 Prat Moghe You're running Python.
The Power of GPU Analytics // Todd Mostak, MapD (FirstMark's Data Driven)
- ▶ 12:46 Todd Mostak So one of the great things is that behind the scenes, MapD is ultimately a very, very fast database, so if I wanted to, I could create a, um, Python notebook out of this, um,
- ▶ 20:51 Todd Mostak Probably first written in CUDA, but later maybe in Python, right on top of the database.
Project Jupyter // Jason Grout & Sylvain Corlay, Bloomberg (FirstMark's Data Driven)
- ▶ 5:21 Jason Grout Now, it started with Python, but the point is, if you have a language or a computer system that's 4 times in the scene