Jeanhwea

Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:

TensorFlow is now distributed under an Apache v2 open source license on GitHub.

On Ubuntu 16.04LTS+:

Step 1. Install NVIDIA CUDA:

To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown:

Jeanhwea

Install SQL*Plus

1. Download .rpm package here
   • oracle-instantclinet*-basic-*.rpm
   • oracle-instantclinet*-devel-*.rpm
   • oracle-instantclinet*-sqlplus-*.rpm
2. Install alien (sudo apt-get install alien)
3. Convert the rpm files and install
   • sudo alien -i oracle-instantclinet*-basic-*.rpm

• sudo alien -i oracle-instantclinet*-devel-*.rpm

Jeanhwea

If you are getting this in gdb on macOS while trying to run a program:

Unable to find Mach task port for process-id 57573: (os/kern) failure (0x5).
 (please check gdb is codesigned - see taskgated(8))

1. Open Keychain Access
2. In menu, open Keychain Access > Certificate Assistant > Create a certificate
3. Give it a name (e.g. gdbc)

Jeanhwea

;; http://www.paulgraham.com/rootsoflisp.html

;; ========================================
;; ATOM := [a-zA-Z]*
;; LIST := (EXPR1 EXPR2 ...)
;; EXPR := ATOM | LIST

;; EXPR
foo
()

Jeanhwea

;; Package setup

(require 'package)
(package-initialize)
(add-to-list 'package-archives
	     '("melpa" . "http://melpa.milkbox.net/packages/") t)

(defvar local-packages '(projectile auto-complete epc jedi))

(defun uninstalled-packages (packages)

Jeanhwea

REMOTE := username@hostname:path/
LOCAL := .
EXCLUDES := --exclude='*.pyc' --exclude='.git' --exclude='cscope*' --exclude='Makefile'

all: sync

sync: get put

get:
	rsync --archive --verbose --recursive --rsh=ssh $(EXCLUDES) $(REMOTE) $(LOCAL)

Jeanhwea

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import hashlib
import random


def gen_nonce(length = 16):
    base = 'abcdefghijklmnopqrstvuwxyzABCDEFGHIJKLMNOPQRSTVUWXYZ0123456789'
    chars = [base[random.randrange(0, len(base))] for _ in xrange(length)]

Jeanhwea

import copy

class Student(object):

    @property
    def score(self):
        return self._score

    @score.setter
    def score(self, value):

Jeanhwea

function! s:OpenSpecial(ochar,cchar)
    echo "OpenSpecial"
    let line = getline('.')
    let col = col('.') - 2
    if(line[col] != a:ochar)
        if(col > 0)
            return "\<ESC>a\<CR>"
        else
            return "\<CR>"
        endif

Jeanhwea

function! s:OpenSpecial(ochar,cchar)
    echo "OpenSpecial"
    let line = getline('.')
    let col = col('.') - 2
    if(line[col] != a:ochar)
        if(col > 0)
            return "\<ESC>a\<CR>"
        else
            return "\<CR>"
        endif