NguyenDa18

import numpy as np
 
# X = (hours sleeping, hours studying), y = score on test
X = np.array(([2, 9], [1, 5], [3, 6]), dtype=float)
y = np.array(([92], [86], [89]), dtype=float)
 
# scale units
X = X/np.amax(X, axis=0) # maximum of X array
y = y/100 # max test score is 100
 

NguyenDa18

Free O'Reilly books and convenient script to just download them.

Thanks /u/FallenAege/ and /u/ShPavel/ from this Reddit post

How to use:

1. Take the download.sh file and put it into a directory where you want the files to be saved.
2. cd into the directory and make sure that it has executable permissions (chmod +x download.sh should do it)
3. Run ./download.sh and wee there it goes. Also if you do not want all the files, just simply comment the ones you do not want.

NguyenDa18

/// functions.js ////
const functions = {
  add: (num1, num2) => num1 + num2,
  isNull: () => null,
  checkValue: x => 4,
  createUser: () => {
    const user = { firstName: 'Deku' };
    user['lastName'] = 'Midoriya';
    return user;
  }

NguyenDa18

Java Setup

• Download JDK (software development kit for Java), includes JRE (Java Runtime Environment) with JVM (Java Virtual Machine), from Oracle
• An IDE (think IntelliJ)

Java 9 Feature: JShell -immediate results from line of code, lives in terminal

NguyenDa18

Netflix Overview

• AWS: Compute and Storage
• Akamai: UI & Small Assets
• Netflix Open Connect CDN: All Video Bits

1. Homebuilt caching infrastructure given to a provider (ISP) to use - decentralize the way video is streamed WOW

• Microservices Infrastructure (hundreds)
• No data centers: completely cloud based

NguyenDa18

Medium Web Development Bookmarks

NodeJS

• GraphQL & Node

React

• React Docker
• React Course Dev
• React & GraphQL
• Deploy React App on Heroku

NguyenDa18

Medium Machine Learning Bookmarks

Computer Vision

• Face Detection for Beginners
• Neural Nets for Generating Music
• Raccoon Object Detection with TensorFlow
• Fashion CV
• Hot Dog Detection -Sillicon Valley Show
• FaceID
• Tensorflow.js

NguyenDa18

Medium DevOps Bookmarks

• NodeJS + Docker
• Docker for Data Science
• Docker Tips for Data Science
• Dockerizing NodeHS and Mongo
• Dockerfile for NodeJS
• Deploying Node with Docker
• Docker for Web Dev
• [Docker Selenium](https://medium.freecodecamp.org/a-recipe-for-website-automated-tests-with-python-selenium-headless-c

NguyenDa18

SQL Notes from DataCamp

SELECT cols & basic counts

• SELECT col1, col2, col3 FROM table; // Select multiple rows
• SELECT col1 FROM table LIMIT 5; // Limit results to first 5
• SELECT DISTINCT language FROM table; // Select only unique values from col
• SELECT COUNT(*) FROM table; // Return number of rows in table
• SELECT COUNT(col) FROM table; // Return number of NON-MISSING column values in table
• SELECT COUNT(DISTINCT col) FROM table; // Count number of distinct non-missing vals in col

NguyenDa18

# Installing OpenCV globally on Anaconda
- [https://www.codingforentrepreneurs.com/blog/install-opencv-3-for-python-on-mac/]


# 1. Download and install the latest Anaconda distribution from  https://www.continuum.io/downloads#macos

# 2. Create a new Python environment. Make sure you choose python 3.5 as your python version for the virtual environment:

conda create -n myenv python=3.5