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@kkochubey1
kkochubey1 / The Technical Interview Cheat Sheet.md
Created June 26, 2017 14:44 — forked from Mohamed3on/The Technical Interview Cheat Sheet.md
This is a fork to fix the markdown errors in the original gist.

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

Array

Definition:

  • Stores data elements based on an sequential, most commonly 0 based, index.
  • Based on tuples from set theory.
@kmhofmann
kmhofmann / building_tensorflow.md
Last active August 11, 2024 14:14
Building TensorFlow from source

Building TensorFlow from source (TF 2.3.0, Ubuntu 20.04)

Why build from source?

The official instructions on installing TensorFlow are here: https://www.tensorflow.org/install. If you want to install TensorFlow just using pip, you are running a supported Ubuntu LTS distribution, and you're happy to install the respective tested CUDA versions (which often are outdated), by all means go ahead. A good alternative may be to run a Docker image.

I am usually unhappy with installing what in effect are pre-built binaries. These binaries are often not compatible with the Ubuntu version I am running, the CUDA version that I have installed, and so on. Furthermore, they may be slower than binaries optimized for the target architecture, since certain instructions are not being used (e.g. AVX2, FMA).

So installing TensorFlow from source becomes a necessity. The official instructions on building TensorFlow from source are here: ht

@aliang
aliang / Mac SSH Autocomplete
Created June 14, 2011 07:14
Add auto complete to your ssh, put into your .bash_profile
_complete_ssh_hosts ()
{
COMPREPLY=()
cur="${COMP_WORDS[COMP_CWORD]}"
comp_ssh_hosts=`cat ~/.ssh/known_hosts | \
cut -f 1 -d ' ' | \
sed -e s/,.*//g | \
grep -v ^# | \
uniq | \
grep -v "\[" ;