Basecamp's new book Shape Up is now available online (https://basecamp.com/shapeup) to read page-by-page.
There is a .pdf version, but that's not the best format for Kindle / other eReaders. Instead, we can convert the page-by-page into an eReader friendly format.
NOTE: This has only been tested on Chrome
| require "rspec/expectations" | |
| RSpec::Matchers.define :allow_content_type do |*content_types| | |
| match do |record| | |
| matcher.matches?(record, content_types) | |
| end | |
| chain :for do |attr_name| | |
| matcher.for(attr_name) | |
| end |
Last updated March 13, 2024
This Gist explains how to sign commits using gpg in a step-by-step fashion. Previously, krypt.co was heavily mentioned, but I've only recently learned they were acquired by Akamai and no longer update their previous free products. Those mentions have been removed.
Additionally, 1Password now supports signing Git commits with SSH keys and makes it pretty easy-plus you can easily configure Git Tower to use it for both signing and ssh.
For using a GUI-based GIT tool such as Tower or Github Desktop, follow the steps here for signing your commits with GPG.
| # Pass the env-vars to MYCOMMAND | |
| eval $(egrep -v '^#' .env | xargs) MYCOMMAND | |
| # … or ... | |
| # Export the vars in .env into your shell: | |
| export $(egrep -v '^#' .env | xargs) |
Sometimes you may want to undo a whole commit with all changes. Instead of going through all the changes manually, you can simply tell git to revert a commit, which does not even have to be the last one. Reverting a commit means to create a new commit that undoes all changes that were made in the bad commit. Just like above, the bad commit remains there, but it no longer affects the the current master and any future commits on top of it.
git revert {commit_id}
Deleting the last commit is the easiest case. Let's say we have a remote origin with branch master that currently points to commit dd61ab32. We want to remove the top commit. Translated to git terminology, we want to force the master branch of the origin remote repository to the parent of dd61ab32:
Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.
The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.
On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:
####### 1. A low-resolution photo of road signs
The issue:
..mobile browsers will wait approximately 300ms from the time that you tap the button to fire the click event. The reason for this is that the browser is waiting to see if you are actually performing a double tap.
(from a new defunct https://developers.google.com/mobile/articles/fast_buttons article)
touch-action CSS property can be used to disable this behaviour.
touch-action: manipulationThe user agent may consider touches that begin on the element only for the purposes of scrolling and continuous zooming. Any additional behaviors supported by auto are out of scope for this specification.
| const I = x => x | |
| const K = x => y => x | |
| const A = f => x => f (x) | |
| const T = x => f => f (x) | |
| const W = f => x => f (x) (x) | |
| const C = f => y => x => f (x) (y) | |
| const B = f => g => x => f (g (x)) | |
| const S = f => g => x => f (x) (g (x)) | |
| const S_ = f => g => x => f (g (x)) (x) | |
| const S2 = f => g => h => x => f (g (x)) (h (x)) |
You got your hands on some data that was leaked from a social network and you want to help the poor people.
Luckily you know a government service to automatically block a list of credit cards.
The service is a little old school though and you have to upload a CSV file in the exact format. The upload fails if the CSV file contains invalid data.
The CSV files should have two columns, Name and Credit Card. Also, it must be named after the following pattern:
YYYYMMDD.csv.
