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datlife /
Created Oct 7, 2019
Spark on K8s using helm

Status: alpha

alias k=kubectl

# Add microsoft charts to heml
helm repo add msftcharts
helm repo update

# Launch spark cluster with custom config
datlife /
Last active Sep 14, 2019
Fractional Scaling for Ubuntu 18.04
# Enable fractional scaling on Ubuntu 18.04
# Problem:
# --------
# - Ubuntu 18.04 runs on Gnome 3.28, whichs does not support fractional scaling (120%, 130%).
# - As a result, the text and icon on my 4K 27" monitor are very small.
# Usage:
# -------
datlife / async.jsx
Last active May 19, 2019
Event Loop
View async.jsx
// Async should be first priority over callbacks and promises
// High level idea:
// - Avoid .then .catch in promise
// - Syntatic sugar to make async programming similar to sequential code
const axios = require('axios');
async function getUser(id) {
let resp = await axios.get(`${DEFAULT_URL}/users/${id}`)
datlife /
Last active Dec 16, 2019
Build LLVM / Clang on MacOS

Build LLVM / Clang on MacOS


Built-in Clang / LLVM shipped by Xcode does not support Leak Santizer (-fsantize=leak) feature. For example, this code has memory leak:

// File: main.c

#include <stdlib.h>
datlife /
Last active Mar 5, 2019
Setup Apache Spark/ Jupyter Notebook on MacOS
datlife / trie.h
Created Dec 3, 2018
Trie Implementation in Modern C++ (Kind of, I am learning)
View trie.h
* MIT License
* Copyright (c) 2018 Dat Nguyen
* Trie (aka Prefix Tree) is a type of Tree Data Structure. A node contains a
* list of child Nodes.
* Applications:
* ============
* * Word completion: quickly validate if a word is correctly type.
datlife / launch.json
Last active Nov 9, 2018
C/C++ Workspace settings for VSCode on MacOS (lldb for Debugger)
View launch.json
// Use IntelliSense to learn about possible attributes.
// Hover to view descriptions of existing attributes.
// For more information, visit:
"version": "0.2.0",
"configurations": [
"name": "(lldb) Debug binary_tree",
"type": "cppdbg",
"""Move Forward
Start from the first element in the array (A), index is i. Move forward by A[i] steps max.
The algorithm is to return true/false, to indicate whether we can move from the first element
to the last element in the array
A = [2, 0, 1, 2, 0, 3] --> True
# Assumption:
* A[i] > 0 and there are [1 ... N] possible steps A[i] can move if A[i] = N.
datlife /
Last active Jul 9, 2018
Compute mean and standard deviation (std) per channel give a list of images
"""Give a list of image filenames, this script compute the mean and std over all the images.
* OpenCV
* tqdm
In this example, I use `Stanford Dogs Datasets" (~20k images)
Example Outputs: (8 cores CPU i7 4970K)
(env) dat@desktop:****/StanfordDogs$ python
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