The Accelerator: Some exciting improvements
Some time ago, we presented a blog post where we discussed an efficient tool that we use internally for big-data projects: the Accelerator. In that post, we focused on the performance perspective, comparing it with Pandas. At that point, the features it was providing meant a big blast in the projects we developed, but it still required a bit of ingeneering effort for setup and configuration. Luckly, the developers of the project have spent a lot of time improving that caveat, providing a smooth installation path and therefore making it available to a much wider audience. In addition, latest version also includes some further improvements, like a new user interface that makes up for a better experience.