https://moox.io/blog/keep-in-sync-git-repos-on-github-gitlab-bitbucket/
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// sequelize config | |
var sequelize = new sequelize('database', 'user', 'pass', { | |
host: '127.0.0.1', | |
dialect: 'mysql', | |
port: 3306, | |
pool: { | |
max: 10, | |
min: 0, | |
idle: 20000 |
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/** | |
* Example to refresh tokens using https://github.com/auth0/node-jsonwebtoken | |
* It was requested to be introduced at as part of the jsonwebtoken library, | |
* since we feel it does not add too much value but it will add code to mantain | |
* we won't include it. | |
* | |
* I create this gist just to help those who want to auto-refresh JWTs. | |
*/ | |
const jwt = require('jsonwebtoken'); |
- Hyperpolyglot: Side by side comparison of a variety of languages and programming tools.
- Git Cheatsheet, Git Tips/Tricks
- Explainshell: Type a shell command and get an explanation of what it does through showing the docs
- RegExr: A learning tool and a cheat sheet for Regex.
- Pramp: Free forever peer-to-peer technical interview practice.
- InterviewBit: Gamified practice for typical coding interview questions.
- Project Euler: Math/CS related challenge problems. Try them and complete them at your own pace.
By Adam Anderson
These notes are mostly just summaries of the provided references. The purpose of this document is to centralize the resources I found useful so they would be easy to find. Most definitions and explanations are paraphrased or quoted directly from the sources.
- Intro to Python Guide - http://anandology.com/python-practice-book/index.html
- Another Intro to Python Guide - http://pymbook.readthedocs.io/en/latest/
- Quick Python Reference Sheet - https://learnxinyminutes.com/docs/python/
- Simple Data Mining and Natural Language Processing - http://www.karsdorp.io/python-course/
- Using Python with Numpy and Scipy on IPython Notebooks - http://www.scipy-lectures.org
- Computational Statistics in Python (Duke University) - http://people.duke.edu/~ccc14/sta-663-2016/index.html
- PyCon2016 Conference Videos (covers a broad range of using Python in things like Natural Language Processing) - https://www.youtube.com/channel/UCwTD5zJbsQGJN75MwbykYNw/videos
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