As configured in my dotfiles.
start new:
tmux
start new with session name:
As configured in my dotfiles.
start new:
tmux
start new with session name:
Execute the shell script: jenkins_install.sh
Configure a proxy using nginx or apache to http://ci.company.example.com.br(I'll use this URL as example).
This pioneering book deep-dives into the Rails plugin APIs and shows you, the intermediate Rails developer, how to use them to write better web applications and make your day-to-day work with Rails more productive.
You’ll learn how the Rails rendering stack works and customize it to read templates from the database while you discover how to mimic Active Record behavior, such as validations, in any other object. You’ll find out how Rails integrates with Rack, the different ways to stream data from your web application, and how to mix Rails engines and Sinatra applications into your Rails apps, so you can choose the most appropriate tool for the job. In addition, you’ll improve your productivity by customizing generators and responders.
Rails uses the model-view-controller (MVC) architecture pattern to organize our code.
How to use discipline, consistency and code organization to make your code grow more gently.
As you cycle through patterns, your application is becoming a patchwork of different coding techniques.
All those new techniques actually help, or if you are just adding layers of inderection.
Large applications are large so what we can do is organize a codebase in a way that "scales logarithmically".
{ | |
"auto_complete": true, | |
"auto_complete_commit_on_tab": true, | |
"bold_folder_labels": true, | |
"caret_extra_bottom": 2, | |
"caret_extra_top": 2, | |
"caret_extra_width": 4, | |
"caret_style": "solid", | |
"theme": "Material-Theme.sublime-theme", | |
"color_scheme": "Packages/Material Theme/schemes/Material-Theme.tmTheme", |
factorial = Hash.new do |hash, key| | |
if key > 1 | |
hash[key] = hash[key - 1] * key | |
else | |
hash[key] = 1 | |
end | |
end | |
factorial[1] # 1 | |
factorial[2] # 2 |
So we will start by introducing you to where big data comes from and what kinds of things you can do with it.
We'll also provide an overview of some of the key characteristics of big data and a short summary of the data science process to get value out of big data.
{ | |
"auto_complete": true, | |
"auto_complete_commit_on_tab": true, | |
"auto_complete_with_fields": true, | |
"bold_folder_labels": true, | |
"caret_extra_bottom": 2, | |
"caret_extra_top": 2, | |
"caret_extra_width": 4, | |
"caret_style": "solid", | |
"color_scheme": "Packages/User/itg.dark (Flake8Lint).tmTheme", |