Get to know Travis Oliphant
Maybe it is the first time you hear his name, but chances are that, if you are a data geek, you are already deeply connected to him.
Travis is a data scientist, entrepreneur and creator of NumPy, SciPy and Anaconda. A massive contributor to the ecosystem of tools we -data professionals- use every day.
This is a conversation with Lex Fridman. Yes, more than 3 hours of talking. A rare document. Enjoy and learn.
Some links related with Travis and this talk:
Travis's Twitter: https://twitter.com/teoliphant Travis's Wiki Page: https://en.wikipedia.org/wiki/Travis_... NumPy:
https://numpy.org/
SciPy: https://scipy.org/about.html Anaconda: https://www.anaconda.com/products/ind... Quansight:
https://www.quansight.com
Revisiting Conway’s Game of Life
What is it? The Game of Life, also known simply as Life, is a cellular automaton devised by the British mathematician John Horton Conway in 1970.[1] It is a zero-player game, meaning that its evolution is determined by its initial state, requiring no further input. One interacts with the Game of Life by creating an initial configuration and observing how it evolves. It is Turing complete and can simulate a universal constructor or any other Turing machine. (Wikipedia)
The origins of Life can be traced back to the 1940’s when American mathematician John Von Neumann began exploring the idea of a universal constructor; a program that has the ability to process data and automatically replicate itself. To explore this problem, Von Neumann created a discrete game for which each generation’s cell state is determined by the neighboring cell’s status on a two-dimensional grid of square cells for which each cell could have as many as 29 different states. This universal constructor fascinated British mathematician John Conway, and caused him to begin doing his own research on another computable discrete universe based on Alan Turing’s notion of a “universal computer”; a machine capable of imitating any computational process through implementations based on a set of short instructions. Thus Conway began his search for a simplified set of rules and states, a “simple universe” capable of computation. After experimenting with various setups on a two-dimensional grid, he found a suitable set of rules that achieved a balance between extinction and infinite cellular expansion and he named these rules the Game of Life. (cs.stanford)
Just a guy coding a GOL in Python.
Want to try yourself? Then Golly is your best friend.
Oh my links!
Deep learning’s diminishing returns. The cost of improvement is becoming unsustainable.
The first rule of machine learning: start without machine learning.
JupyterLab Desktop App now available.
Beyond Bar and Box Plots. Great set of slides that show how bar charts and box plots are often NOT the best choice for presenting data and what you should use instead.
AI Can Write Code Like Humans—Bugs and All.
IDC Forecasts Companies to Spend Almost $342 Billion on AI Solutions in 2021.
Let’s connect! I am Walter, and you can get in touch via Twitter or LinkedIn.