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SQLAlchemy is an open-source Python library that provides an SQL toolkit (called "SQLAlchemy Core") and an Object Relational Mapper (ORM) for database interactions. It allows developers to work with databases using Python objects, enabling efficient and flexible database access.
Atlas ORM (data mapper, table data gateway, query builder, and PDO wrapper) [3]; Doctrine2 Object Relational Mapper (ORM) and the Database Abstraction Layer [4]; Cycle ORM (PHP DataMapper ORM and Data Modelling Engine) [5]
Codecademy is an American online interactive platform that offers free coding classes in 13 different programming languages including Python, Java, Go, JavaScript, Ruby, SQL, C++, C#, Lua, and Swift, as well as markup languages HTML and CSS.
From the MongoDB 2.6 release onward, the binaries for the official MongoDB RPM and DEB packages bind to localhost by default. From MongoDB 3.6, this default behavior was extended to all MongoDB packages across all platforms. As a result, all networked connections to the database are denied unless explicitly configured by an administrator. [59]
Mongoose is a JavaScript object-oriented programming library that creates a connection between MongoDB and the Node.js JavaScript runtime environment. [1] [2] It provides a straightforward, schema-based solution to model application data. Mongoose includes built-in type casting, validation, query building, business logic hooks, and more, out of ...
Interval scheduling is a class of problems in computer science, particularly in the area of algorithm design. The problems consider a set of tasks. The problems consider a set of tasks. Each task is represented by an interval describing the time in which it needs to be processed by some machine (or, equivalently, scheduled on some resource).
In computer science, the dining philosophers problem is an example problem often used in concurrent algorithm design to illustrate synchronization issues and techniques for resolving them. It was originally formulated in 1965 by Edsger Dijkstra as a student exam exercise, presented in terms of computers competing for access to tape drive ...
Convex optimization is a subfield of mathematical optimization that studies the problem of minimizing convex functions over convex sets (or, equivalently, maximizing concave functions over convex sets). Many classes of convex optimization problems admit polynomial-time algorithms, [1] whereas mathematical optimization is in general NP-hard. [2 ...