Dunno why I bookmark this shit, maybe because someday I could need it.

Module::Starter - a simple starter kit for any module

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LogRocket is a production Redux logging tool that lets you replay problems as if they happened in your own browser. Instead of guessing why errors happen, or asking users for screenshots and log dumps, LogRocket lets you replay Redux actions + state, network requests, console logs, and see a video of what the user saw.

« Remember, components don’t have to emit DOM. They only need to provide composition boundaries between UI concerns. »

Staytus is a free, open source & beautiful status site that you can install on your own servers. It's fully-loaded with all the features you'd expect from any site you might pay for.

This is album is dedicated to the sacred ego, that wellspring of individuality and unique complexity. Sing the song of the Inner Voice. Recite the hymns to the Celestial Will. Rebuke all desire to succumb to corrosive idolatry—be it the militancy of extremity, the beneficence of untempered ideology, or the divinity of cherished relationships. Rebuke the impulse to capitulation, to hide beneath of hard shell of callous disregard and secede from the world. We surrender our power only to those worthy of wielding it. And we will not hesitate to strip authority from and war against all those that prove unworthy.

Erlang & Elixir Factory San Francisco is now Code BEAM SF! 15-16 March 2018. http://bit.ly/2nlioFp --- Erlang & Elixir Factory SF 2017 http://www.erlang-factory.com/sfbay20...

rakudo-pkg offers native packages of Rakudo Perl 6 that closely follow upstream development. Most of the time, the packages will be released on the same day as the Rakudo sources. At the moment, packages are provided for Alpine, CentOS, Debian, Fedora, openSUSE and Ubuntu. Feel free to contribute or request new packages.

rakudo-pkg aims to provide small self-contained (no dependencies, no files outside /opt/rakudo-pkg), pre-compiled native OS packages that can be used on user’s computers, servers and –very importantly– containers. Therefor, only the Rakudo compiler and the Zef package manager are provided. Third party modules can be easily installed if desired.

From a security point of view, we like to create the builds in the open: the packages are created, checksummed and automatically uploaded from the code in this repository by Travis CI to Github Releases and Bintray Repositories.

For those users, or rather System Administrators, that prefer to build their own Rakudo packages, rakudo-pkg can be used as a build framework. Because Docker containers are used when creating native Linux packages, any platform running Docker can be used as a host, including Linux, MacOS and Windows machines.

JSON Web Tokens are an open, industry standard RFC 7519 method for representing claims securely between two parties.

JWT.IO allows you to decode, verify and generate JWT.

Notablemind is a life manager

It is useful for

• note taking
• journaling
• writing & composition
• task/project management
• UI rapid prototyping

CmosPwd decrypts password stored in cmos used to access BIOS SETUP.

The goal of fpm is to make it easy and quick to build packages such as rpms, debs, OSX packages, etc.

fpm, as a project, exists to help you build packages, therefore:

• If fpm is not helping you make packages easily, then there is a bug in fpm.
• If you are having a bad time with fpm, then there is a bug in fpm.
• If the documentation is confusing, then this is a bug in fpm.

A composable charting library

All texts published in Internationale Situationniste may be freely reproduced, translated and adapted, even without indication of origin.

VisiData is an interactive multitool for tabular data. It combines the clarity of a spreadsheet, the efficiency of the terminal, and the power of Python, into a lightweight utility which can handle millions of rows with ease.

• Obtain data from websites, APIs, databases, and spreadsheets
• Perform scrub operations on text, CSV, HTML/XML, and JSON
• Explore data, compute descriptive statistics, and create visualizations
• Manage your data science workflow
• Create reusable command-line tools from one-liners and existing Python or R code
• Parallelize and distribute data-intensive pipelines
• Model data with dimensionality reduction, clustering, regression, and classification algorithms