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Turtle graphics are often associated with the Logo programming language. [2] Seymour Papert added support for turtle graphics to Logo in the late 1960s to support his version of the turtle robot, a simple robot controlled from the user's workstation that is designed to carry out the drawing functions assigned to it using a small retractable pen set into or attached to the robot's body.
According to Steve McConnell, timeboxing is a "Best Practice" for RAD and a typical timebox length should be 60–120 days. [14] Scrum was influenced by ideas of timeboxing and iterative development. [16] Regular timeboxed units known as sprints form the basic unit of development. [17] A typical length for a sprint is less than 30 days.
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
A pomodoro kitchen timer. The Pomodoro Technique is a time management method developed by Francesco Cirillo in the late 1980s. [1] It uses a kitchen timer to break work into intervals, typically 25 minutes in length, separated by short breaks.
Turtle graphics were added to the Logo language by Seymour Papert in the late 1960s to support Papert's version of the turtle robot, a simple robot controlled from the user's workstation that is designed to carry out the drawing functions assigned to it using a small retractable pen set into or attached to the robot's body.
Timeboxing is a variant of timeblocking used in project management. [10] The Pomodoro technique is a productivity framework that espouses that professionals should focus without distraction on work for 25 minutes then take a break. Its interval-based technique complements timeblocking, though the Pomodoro technique is more of an ad hoc measure ...
JAX is a Python library that provides a machine learning framework for transforming numerical functions developed by Google with some contributions from Nvidia. [2] [3] [4] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and OpenXLA's XLA (Accelerated Linear Algebra).
In software engineering, a pipeline consists of a chain of processing elements (processes, threads, coroutines, functions, etc.), arranged so that the output of each element is the input of the next.