📝 企業を調べる時のメモ書きです。
- https://www.wantedly.com/
- https://jobs.forkwell.com/
- https://jp.indeed.com/
- 日本だとあんまり使ってる企業がいないけど、グローバルよりで日本でもやってる面白いものがたまに見つかる
- などの各種求人サイトを見る
- Note: 📝
📝 企業を調べる時のメモ書きです。
For MacOS Catalina, visit Install mysql2 on MacOS Catalina
Installing mysql2
gem errors on MacOS Mojave.
Make sure openssl
is installed on Mac via Homebrew.
I was trying forever to get autoloading relationships working with postgres 9.4 and gorm and primary keys of type uuid.
Many tutorials and examples, even those on the official docs were just not workiong or missing important details.
The program in this gist creates the table structure and inserts a nested record. A parent and a child object is created by simply creating the child, which holds the relation to a parent. The child element then is queried by ID. The returned object holds the nested parent object.
Used package versions:
package main | |
import ( | |
"context" | |
"crypto/tls" | |
"fmt" | |
"log" | |
"net/http" | |
"net/url" | |
"time" |
I created a CentOS 6.5 Droplet on Digital Ocean with 8GB RAM (you'll need at least 4 for the Java portion of the build), feel free to use any other CentOS 6.5 environment that you can have root on.
First, Mesos 0.21.0+ requires subversion 1.8+ devel package which is not available by default by yum. Add a repo that has subversion-devel 1.8 available, i.e:
Add new repo /etc/yum.repos.d/wandisco-svn.repo, with:
# OSX for Hackers (Mavericks/Yosemite) | |
# | |
# Source: https://gist.github.com/brandonb927/3195465 | |
#!/bin/sh | |
# Some things taken from here | |
# https://github.com/mathiasbynens/dotfiles/blob/master/.osx | |
# Ask for the administrator password upfront |
##Description Simple Dashing widget (and associated job) to display BBC News Stories.
##Dependencies nokogiri
Add it to dashing's gemfile:
gem 'nokogiri'
from numpy import loadtxt, zeros, ones, array, linspace, logspace | |
from pylab import scatter, show, title, xlabel, ylabel, plot, contour | |
#Evaluate the linear regression | |
def compute_cost(X, y, theta): | |
''' | |
Comput cost for linear regression | |
''' | |
#Number of training samples |
""" | |
This module implements the Lowess function for nonparametric regression. | |
Functions: | |
lowess Fit a smooth nonparametric regression curve to a scatterplot. | |
For more information, see | |
William S. Cleveland: "Robust locally weighted regression and smoothing | |
scatterplots", Journal of the American Statistical Association, December 1979, |