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Fernando Pérez is a Colombian physicist, software developer, and free software advocate. ... He is a fellow of the Python Software Foundation, [10] ...
Pygame version 2 was planned as "Pygame Reloaded" in 2009, but development and maintenance of Pygame completely stopped until the end of 2016 with version 1.9.1. After the release of version 1.9.5 in March 2019, development of a new version 2 was active on the roadmap. [11] Pygame 2.0 released on 28 October, 2020, Pygame's 20th anniversary. [12]
Python 2.0 was released on October 16, 2000, with many major new features, such as list comprehensions, cycle-detecting garbage collector (in addition to reference counting) and reference counting, for memory management and support for Unicode, along with a change to the development process itself, with a shift to a more transparent and ...
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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.
Construct, a python library for the declarative construction and deconstruction of data structures; Genshi, a template engine for XML-based vocabularies; IPython, a development shell both written in and designed for Python; Jinja, a Python-powered template engine, inspired by Django's template engine; Kid, simple template engine for XML-based ...
Figure 3. The process-data model of the development phase. The second phase, the development of the technology roadmap phase (see figure 3.), consists of 7 steps: 1. Identify the "product" that is the focus of the roadmap, 2. Identify the critical system requirements and their targets, 3. Specify the major technology areas, 4.
By default, a Pandas index is a series of integers ascending from 0, similar to the indices of Python arrays. However, indices can use any NumPy data type, including floating point, timestamps, or strings. [4]: 112 Pandas' syntax for mapping index values to relevant data is the same syntax Python uses to map dictionary keys to values.