@import vs #import – iOS 7

It’s a new feature called Modules or “semantic import”. There’s more info in the WWDC 2013 videos for Session 205 and 404. It’s kind of a better implementation of the pre-compiled headers. You can use modules with any of the system frameworks in iOS 7 and Mavericks. Modules are a packaging together of the framework … Read more

The difference between “require(x)” and “import x”

This simple diagram will help to you understand the differences between require and import. Apart from that, You can’t selectively load only the pieces you need with require but with import, you can selectively load only the pieces you need, which can save memory. Loading is synchronous(step by step) for require on the other hand … Read more

beyond top level package error in relative import

EDIT: There are better/more coherent answers to this question in other questions: Sibling package imports Relative imports for the billionth time Why doesn’t it work? It’s because python doesn’t record where a package was loaded from. So when you do python -m test_A.test, it basically just discards the knowledge that test_A.test is actually stored in … Read more

Why is using a wild card with a Java import statement bad?

The only problem with it is that it clutters your local namespace. For example, let’s say that you’re writing a Swing app, and so need java.awt.Event, and are also interfacing with the company’s calendaring system, which has com.mycompany.calendar.Event. If you import both using the wildcard method, one of these three things happens: You have an … Read more

Quickly reading very large tables as dataframes

An update, several years later This answer is old, and R has moved on. Tweaking read.table to run a bit faster has precious little benefit. Your options are: Using vroom from the tidyverse package vroom for importing data from csv/tab-delimited files directly into an R tibble. See Hector’s answer. Using fread in data.table for importing … Read more

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