datlife

// 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');
DEFAULT_URL = "https://jsonplaceholder.typicode.com"

async function getUser(id) {
    let resp = await axios.get(`${DEFAULT_URL}/users/${id}`)

datlife

Build LLVM / Clang on MacOS

Problem

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

Spark Setup MacOS Guide

Reference: https://spark.apache.org/docs/latest/

Overview:

• Install Java 8+, then add to PATH and JAVA_HOME

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/**  
* 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.

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{
    // Use IntelliSense to learn about possible attributes.
    // Hover to view descriptions of existing attributes.
    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
        
        {
            "name": "(lldb) Debug binary_tree",
            "type": "cppdbg",

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"""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.

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"""Give a list of image filenames, this script compute the mean and std over all the images.

Requires:
 * OpenCV
 * tqdm

In this example, I use `Stanford Dogs Datasets" (~20k images)

Example Outputs: (8 cores CPU i7 4970K)
(env) dat@desktop:****/StanfordDogs$ python compute_mean_std.py 

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Reference:

https://jany.st/post/2018-02-05-cross-compiling-tensorflow-for-jetson-tx1-with-bazel.html

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"""
Problem: 
--------
  We would like to explore which method perform row iteration in the most efficient way. 
  Create a data frammes with 3 columns and 100,000 rows
  
Results:
--------
vector:   Iterated over 100000 rows in 0.029180 | Sample at idx [0]: (1, 100000)
zip:      Iterated over 100000 rows in 0.073447 | Sample at idx [0]: [1, 100000]

datlife

ffmpeg -framerate 25 -i img%05d.jpg -c:v libx264 -profile:v high -crf 20 -pix_fmt yuv420p output.mp4