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Python 2.6 was released to coincide with Python 3.0, and included some features from that release, as well as a "warnings" mode that highlighted the use of features that were removed in Python 3.0. [ 28 ] [ 10 ] Similarly, Python 2.7 coincided with and included features from Python 3.1, [ 29 ] which was released on June 26, 2009.
Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and first released it in 1991 as Python 0.9.0. [36] Python 2.0 was released in 2000. Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last ...
Python: Guido van Rossum: Perl, ABC, C: 1991 Visual Basic: Alan Cooper, sold to Microsoft: QuickBASIC 1992 Borland Pascal: Turbo Pascal OOP 1992 Dylan: Many people at ...
Monty Python's Flying Circus – Just The Words Volume 1 (1989) ISBN 0-413-62540-0. Monty Python's Flying Circus – Just The Words Volume 2 (1989) ISBN 0-413-62550-8. Monty Python's Fliegender Zirkus (edited by Alfred Biolek) (1998) Compilations The Complete Works of Shakespeare and Monty Python.
The functional languages community moved to standardize ML and Lisp. Research in Miranda, a functional language with lazy evaluation, began to take hold in this decade. One important new trend in language design was an increased focus on programming for large-scale systems through the use of modules, or large-scale organizational units of code.
Jannik Sinner has accepted a three-month ban from tennis to settle a case which has lingered over the sport for months after he twice tested positive for a banned substance, the World Anti-Doping ...
The problem, according to co-owner Paul Allen, was Traf-O-Data’s business model and the fact that neither Gates, Allen nor Gilbert did any research on how to grow such a business.
Work on Machine learning shifts from a knowledge-driven approach to a data-driven approach. Scientists begin creating programs for computers to analyze large amounts of data and draw conclusions – or "learn" – from the results. [2] Support-vector machines (SVMs) and recurrent neural networks (RNNs) become popular. [3]