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2. Python (programming language) - Wikipedia

   en.wikipedia.org/wiki/Python_(programming_language)

   The emitted code is specialized for certain data types and is faster than the standard Python code. Psyco does not support Python 2.7 or later. Psyco does not support Python 2.7 or later. PyS60 was a Python 2 interpreter for Series 60 mobile phones released by Nokia in 2005.

3. pandas (software) - Wikipedia

   en.wikipedia.org/wiki/Pandas_(software)

   Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.

4. scikit-learn - Wikipedia

   en.wikipedia.org/wiki/Scikit-learn

   scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

5. Orange (software) - Wikipedia

   en.wikipedia.org/wiki/Orange_(software)

   Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

6. Dataflow programming - Wikipedia

   en.wikipedia.org/wiki/Dataflow_programming

   POGOL, an otherwise conventional data-processing language developed at NSA, compiled large-scale applications composed of multiple file-to-file operations, e.g. merge, select, summarize, or transform, into efficient code that eliminated the creation of or writing to intermediate files to the greatest extent possible. [11]

7. Natural Language Toolkit - Wikipedia

   en.wikipedia.org/wiki/Natural_Language_Toolkit

   The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities. [4]

8. Stream processing - Wikipedia

   en.wikipedia.org/wiki/Stream_processing

   The first is an example of processing a data stream using a continuous SQL query (a query that executes forever processing arriving data based on timestamps and window duration). This code fragment illustrates a JOIN of two data streams, one for stock orders, and one for the resulting stock trades.

9. Flow-based programming - Wikipedia

   en.wikipedia.org/wiki/Flow-based_programming

   Flow-based programming defines applications using the metaphor of a "data factory". It views an application not as a single, sequential process, which starts at a point in time, and then does one thing at a time until it is finished, but as a network of asynchronous processes communicating by means of streams of structured data chunks, called "information packets" (IPs).