uncleflo
Registered since September 28th, 2017
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AMPPS – WAMP, MAMP and LAMP Stack
Saved by uncleflo on February 12th, 2022.
AMPPS is a software stack from Softaculous enabling Apache, Mysql, MongoDB, PHP, Perl, Python and Softaculous auto-installer on desktops and office servers. AMPPS is a WAMP, MAMP and LAMP stack of Apache, MySQL, MongoDB, PHP, Perl & Python. AMPPS enables you to focus more on using applications rather than maintaining them. With AMPPS you can create a website by installing any of the 400+ Apps, customizing it, and then simply publishing it on the internet via a wide choice of hosting service providers Softaculous AMPPS helps you deploy Apps on your server. We have covered a wide array of Categories so that everyone could find the required application one would need to build their website and grow their business. AMPPS is one of the best WAMP stacks you can get with so many preconfigured Apps.
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OpenAPI-Specification/3.0.3.md at master · OAI/OpenAPI-Specification · GitHub
Saved by uncleflo on April 10th, 2021.
The OpenAPI Specification (OAS) defines a standard, language-agnostic interface to RESTful APIs which allows both humans and computers to discover and understand the capabilities of the service without access to source code, documentation, or through network traffic inspection. When properly defined, a consumer can understand and interact with the remote service with a minimal amount of implementation logic. An OpenAPI definition can then be used by documentation generation tools to display the API, code generation tools to generate servers and clients in various programming languages, testing tools, and many other use cases.
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How to use MySQL to search in php serialized fields
Saved by uncleflo on June 22nd, 2018.
Well, first rule – you should not do this. But if there is good reason, consider using such query for searching in index-based arrays: SELECT * FROM table WHERE your_field_here REGEXP '.*;s:[0-9]+:"your_value_here".*' In case you have assoc array serialized you can use: SELECT * FROM table WHERE your_field_here REGEXP '.*"array_key_here";s:[0-9]+:"your_value_here".*' Of course it won’t be very fast but in small tables should be enough
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Removing Elements from JavaScript Arrays
Saved by uncleflo on April 7th, 2018.
The JavaScript standard library is notoriously small. In fact, it is so small that the Array prototype doesn't even define a method for removing a specific element from an array. Because there's no such built-in method, developers have to create their own version if they want to remove a specific array element.
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Linfo
Saved by uncleflo on October 17th, 2016.
Very fast cross-platform php script that describes the host server in extreme detail, giving information such as ram usage, disk space, raid arrays, hardware, network cards, kernel, os, samba/cups/truecrypt status, temps, disks, and much more. Latest code is here: https://github.com/jrgp/linfo
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Iterating over jQuery and non-jQuery Objects | jQuery Learning Center
Saved by uncleflo on January 24th, 2014.
jQuery provides an object iterator utility called $.each() as well as a jQuery collection iterator: .each(). These are not interchangeable. In addition, there are a couple of helpful methods called $.map() and .map() that can shortcut one of our common iteration use cases. $.each() is a generic iterator function for looping over object, arrays, and array-like objects. Plain objects are iterated via their named properties while arrays and array-like objects are iterated via their indices. $.each() is essentially a drop-in replacement of a traditional for or for-in loop.
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Data Science Toolkit
Saved by uncleflo on December 11th, 2012.
This API takes either a single string representing a postal address, or a JSON-encoded array of addresses, and returns a JSON object with a key for every address. The value for each key is either null if no information was found for the address, or an object containing location information, including country, region, city and latitude/longitude coordinates.
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Pointers - C++ Documentation
Saved by uncleflo on March 13th, 2012.
We have already seen how variables are seen as memory cells that can be accessed using their identifiers. This way we did not have to care about the physical location of our data within memory, we simply used its identifier whenever we wanted to refer to our variable. The memory of your computer can be imagined as a succession of memory cells, each one of the minimal size that computers manage (one byte). These single-byte memory cells are numbered in a consecutive way, so as, within any block of memory, every cell has the same number as the previous one plus one. This way, each cell can be easily located in the memory because it has a unique address and all the memory cells follow a successive pattern. For example, if we are looking for cell 1776 we know that it is going to be right between cells 1775 and 1777, exactly one thousand cells after 776 and exactly one thousand cells before cell 2776.
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