Edit: This list is now maintained in the rust-anthology repo.
# Load all registers into various databases | |
library(tidyverse) | |
library(DBI) | |
library(registr) # https://github.com/nacnudus/registr | |
library(stringr) | |
library(getPass) | |
library(here) | |
beta <- rr_registers() |
Head over the to Github repository for the TestDrive document
tl;dr I want to use Rust to program robots. Help me find the best core libraries to build on.
Robotic systems require high performance and reliability, but also have enormous complexity in terms of algorithms employed, number of subsystems, embedded hardware control, and other metrics. Development is mostly split between C++ for performance and safety critical components, and MatLab or Python for quick research or task iteration.
# This program is free software: you can redistribute it and/or modify | |
# it under the terms of the GNU General Public License as published by | |
# the Free Software Foundation, either version 3 of the License, or | |
# (at your option) any later version. | |
# | |
# This program is distributed in the hope that it will be useful, | |
# but WITHOUT ANY WARRANTY; without even the implied warranty of | |
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | |
# GNU General Public License for more details. | |
# |
Document moved to: https://github.com/servo/servo/blob/master/HACKING_QUICKSTART.md
""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |
This is a small demo of how to create a library in Rust and call it from Python (both CPython and PyPy) using the CFFI instead of ctypes
.
Based on http://harkablog.com/calling-rust-from-c-and-python.html (dead) which used ctypes
CFFI is nice because:
- Reads C declarations (parses headers)
- Works in both CPython and PyPy (included with PyPy)
- Lower call overhead than
ctypes
Most text nowadays is encoded as unicode, and yet some programming languages either don't natively support it, or require you to jump through some hoops to support it. Elixir and Haskell have good support for Unicode, however there are some issues we have to understand, in order to manipulate text well.
If you were to give recommendations to your "little brother/sister" on things that they need to do to become a data scientist, what would those things be?
I think the "Data Science Venn Diagram" (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) is a great place to start. You need three things to be a good data scientist:
- Statistical knowledge
- Programming/hacking skills
- Domain expertise