One of many reasons to love Performance Co-Pilot, is the fact that it is a fully fledged framework to do performance analysis. It makes it extremely simple to extend and to build anything on top of it. In this post we shall explore how simple it is to analyze your performance data using iPython and pandas.
Linux is full of awesome apps, both open source and proprietary. People new to Linux might be used to Windows or Mac OS X apps that aren’t available on Linux, and don’t know about available alternatives. Even seasoned Linux users tend to find new and useful software quite often.
Linux apps are also very easy to install. In most cases, they’re in your distribution’s repositories so all it takes is a quick search through your Software Center or a single command in the terminal. Speaking of terminals, there are plenty of apps that can help you avoid the terminal, if that’s your preference.