FastScript vs. Nova vs. VBScript vs. statsmodels Comparison Chart

If we're being honest, Mac apps are a bit of a lost art. There are great reasons to make cross-platform apps — to start, they're cross-platform — but it's just not who we are. Founded as a Mac software company in 1997, our joy at Panic comes from building things that feel truly, well, Mac-like. Long ago, we created Coda, an all-in-one Mac web editor that broke new ground. But when we started work on Nova, we looked at where the web was today, and where we needed to be. It was time for a fresh start. It all starts with our first-class text-editor. It's new, hyper-fast, and flexible, with all the features you want: smart autocomplete, multiple cursors, a Minimap, editor overscroll, tag pairs and brackets, and way, way more. For the curious, Nova has built-in support for CoffeeScript, CSS, Diff, ERB, Haml, HTML, INI, JavaScript, JSON, JSX, Less, Lua, Markdown, Perl, PHP, Python, Ruby, Sass, SCSS, Smarty, SQL, TSX, TypeScript, XML, and YAML.

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.