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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.
none (unique language) 1951 Intermediate Programming Language Arthur Burks: Short Code 1951 Boehm unnamed coding system Corrado Böhm: CPC Coding scheme 1951 Klammerausdrücke Konrad Zuse: Plankalkül 1951 Stanislaus (Notation) Fritz Bauer: none (unique language) 1951 Sort Merge Generator: Betty Holberton: none (unique language) 1952
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.
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.
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]
PROGRAMMING LANGUAGES: BASIC, JAVA, PYTHON, RUBY 4. THINGS THAT CAN STRIKE: COBRA, INSPIRATION, LIGHTNING, UNION. How'd you do? Did You Miss a Few Days? Let's Catch You Up With Recent Connections ...
This is a "genealogy" of programming languages. Languages are categorized under the ancestor language with the strongest influence. Those ancestor languages are listed in alphabetic order. Any such categorization has a large arbitrary element, since programming languages often incorporate major ideas from multiple sources.
The vast majority of programming languages in use today have a free software implementation available. Since the 1990s, the release of major new programming languages in the form of open-source compilers and/or interpreters has been the norm, rather than the exception. Examples include Python in 1991, Ruby in 1995, and Scala in 2003.