Modifying the Official Google Chrome RPM to Run on Amazon Linux and CentOS 6 CentOS, Amazon Linux AMI, and Red Hat Enterprise Linux are three closely related GNU/Linux distributions which are all popular choices for server installations. They offer excellent performance and stability, but package availability can often be lacking. The Extra Packages for Enterprise Linux (EPEL), a community maintained repository of additional packages, significantly improves the situation, but doesn’t include Google Chrome/Chromium or a lot of other software that you would expect on more desktop-oriented distributions.
Have a great idea for an article?
We're always looking for guest contributors or article suggestions. Shoot us an email at email@example.com, we would love to hear yours!
Detecting Headles Chrome A short article titled Detecting Chrome Headless popped up on Hacker News over the weekend and it has since been making the rounds. Most of the discussion on Hacker News was focused around the author’s somewhat dubious assertion that web scraping is a “malicious task” that belongs in the same category as advertising fraud and hacking websites. That’s always a fun debate to get into, but the thing that I really took issue with about the article was that it implicitly promoted the idea of blocking users based on browser fingerprinting.
A Bug on Linux? Why, I never! I’ve been using GNU/Linux for about fifteen years and, I’ve got to admit, it used to be pretty rough around the edges (to put it lightly). A lot can change over fifteen years though; most of the things that were once major problem areas haven’t required a second thought in years. Laptop suspension, WIFI, advanced function keys, sound, and pretty much everything else all typically “just work” these days, and this has been the case for quite a while.
Update: This article is regularly updated in order to accurately reflect improvements in Firefox’s headless browsing capabilities. Note: Check out Running Selenium with Healdess Chrome if you’d rather use Google’s browser. Using Selenium with Headless Firefox (on Windows) Ever since Chrome implemented headless browsing support back in April, the other major browsers started following suit. In particular, Mozilla has since then expanded support for Firefox’s headless mode from Linux to its Windows and macOS builds, and fixed a number of bugs that might have been in the way of early adopters.
UPDATE: This article is updated regularly to reflect the latest information and versions. If you’re looking for instructions then skip ahead to see Setup Instructions. NOTE: Be sure to check out Running Selenium with Headless Chrome in Ruby if you’re interested in using Selenium in Ruby instead of Python. Background It has long been rumored that Google uses a headless variant of Chrome for their web crawls. Over the last two years or so it had started looking more and more like this functionality would eventually make it into the public releases and, as of this week, that has finally happened.
NOTE: Be sure to check out Running Selenium with Headless Chrome if you’re interested in using Selenium in Python instead of Ruby. Since Google added support to run Chrome and Chromium in headless mode as of version 59, it has become a popular choice for both testing and web scraping. There are a few Chrome-specific automation solutions out there, such as Puppeteer and Chrome Remote Interface, but Selenium remains a popular choice due to it’s uniform API across web browsers and it’s support for multiple programming languages.
It’s a common issue that scripts written and tested on GNU/Linux don’t run correctly on macOS–or vice versa–because of differences between the GNU and BSD versions of the core utils. Error messages can get drowned in the script output, making it far from obvious that something isn’t executing correctly. There are a couple of easy fixes to avoid problems like this, but they rely on some bash features that you may not be familiar with if you don’t do a ton of scripting.
How to Resize Matplotlib Legend Markers I frequently find myself plotting clusters of points in Matplotlib with relatively small marker sizes. This is a useful way to visualize the data, but the plot’s legend will use the same marker sizes by default and it can be quite difficult to discern the color of a single point in isolation. Let’s plot a few random clusters of points to see what this problem looks like in practice.
This page describes how to specify which SSH profile to use with git. This can be handy if you have more than one GitHub account and don’t wish to reuse your default SSH key or type in a password every time you push or pull. The commands will be written from the perspective of a GitHub user, but should be easy to adapt to other scenarios as well. Step-by-Step Instructions Generate a new SSH key: