Top HN posts
| use std::fmt::Display; | |
| /* | |
| money = currency_symbol number ; | |
| currency_symbol = '$' | '£' | '€' ; | |
| number = INTEGER ; | |
| */ | |
| #[derive(Debug, PartialEq, Clone, Copy)] | |
| enum TokenType { |
There a times when you need to build something from the nix unstable channel. For example the master contains a new package you need, but the next nixpkgs release is somewhere in the future, and you need this package now. In this guide I want to show how to install packages from unstable by using nix-env. Furthermore I hope to give a basic understanding of the channels concept.
A channel is a set of expressions which includes severall build, installation and configuration instructions for packages, services and the system itself. The repository normaly used here is nixpkgs. It is developed at https://github.com/NixOS/nixpkgs.
The unstable channel is a copy of the NixOS/nixpkgs master. It is pulled from github once in a while and will be available from a mirror under https://nixos.org/channels/nixpkgs-unstable. Since NixOS uses half-anual released stable channels, some changes (especially new f
| # accompanying blog - https://kaushikc.org/posts/matrix-jitsi-nixos.html | |
| # /etc/nixos/configuration.nix | |
| imports = | |
| let | |
| nur-no-pkgs = | |
| import ( | |
| builtins.fetchTarball | |
| "https://github.com/nix-community/NUR/archive/master.tar.gz" |
| Below are the Big O performance of common functions of different Java Collections. | |
| List | Add | Remove | Get | Contains | Next | Data Structure | |
| ---------------------|------|--------|------|----------|------|--------------- | |
| ArrayList | O(1) | O(n) | O(1) | O(n) | O(1) | Array | |
| LinkedList | O(1) | O(1) | O(n) | O(n) | O(1) | Linked List | |
| CopyOnWriteArrayList | O(n) | O(n) | O(1) | O(n) | O(1) | Array |
| { | |
| "folders": [{ | |
| "follow_symlinks": true, | |
| "path": "." | |
| }], | |
| "settings": { | |
| "detect_indentation": false, | |
| "ensure_newline_at_eof_on_save": true, | |
| "tab_size": 2, | |
| "file_exclude_patterns": [ |
| import java.util.*; | |
| import java.util.function.*; | |
| import java.util.stream.*; | |
| import static java.util.stream.Collectors.*; | |
| import static java.util.Comparator.*; | |
| /** | |
| * http://stackoverflow.com/questions/22845574/how-to-dynamically-do-filtering-in-java-8 | |
| * |
Movies Recommendation:
- MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
- Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
- Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
- Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/
Music Recommendation:
- Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html