learn-generators
v1.7.2
Published
Learn ES6 generators in practice.
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Learn ES6 Generators
An Intro to ES6 generators via a set of self-guided workshops.
You can ask questions in nodeschool/discussions board:
Send an anonymous feedback about learn-generators
here: google/form.
Install or Update
You need nodejs >= 0.12.x or iojs >= 1.0.x
$ npm install learn-generators -g
Start learning
0. General information
learn-generators
is i18n-friendly workshopper, currently you can learn on English or French language.
Hit choose language
menu item or selet language with -l
flag with aviable prefixes: en
, fr
, ko
, ja
, es
and ru
. Type:
$ learn-generators -l
To see aviable languages and select the language which you like.
You can also get all available commads in help
:
$ learn-generators help
1. Select a topic to learn
Once the workshop is installed, run learn-generators
to print a menu
where you use the arrows ↑↓ (vim jk
works too) to select a topic to learn.
$ learn-generators
2. Writing your solution
Once you have selected a topic, the workshop will remember which problem you are working on. Using your preferred editor, simply create a file to write your solution in. Most topics will supply some boilerplate with which to get started. Copy this from the topic description to your solution file.
3. Testing your solution
Use the workshop's run
command to point the workshop at your solution file. Your solution will loaded
and passed the topic input. This usually won't perform any validation, it will only show the program output.
$ learn-generators run mysolution.js
4. Verifying your solution
Your solution will be verified against the output of the 'official' solution. If all of the output matches, then you have successfully solved the problem!
$ learn-generators verify mysolution.js
Stuck?
Feedback and criticism is welcome, please log your troubles in issues. Or you can send an anonymous feedback here: google/form.
Thanks
You can learn generators due to this people:
Rod Vagg (@rvagg) made this workshopper framework (⌐■_■)
License
MIT © Ruslan Ismagilov