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2. List of programming languages for artificial intelligence

   en.wikipedia.org/wiki/List_of_programming...

   Jupyter Notebooks can execute cells of Python code, retaining the context between the execution of cells, which usually facilitates interactive data exploration. [5] Elixir is a high-level functional programming language based on the Erlang VM. Its machine-learning ecosystem includes Nx for computing on CPUs and GPUs, Bumblebee and Axon for ...

3. Python (programming language) - Wikipedia

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

   Numba is used from Python, as a tool (enabled by adding a decorator to relevant Python code), a JIT compiler that translates a subset of Python and NumPy code into fast machine code. Pythran compiles a subset of Python 3 to C++ . [165] RPython can be compiled to C, and is used to build the PyPy interpreter of Python.

4. 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]

5. 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).

6. Stream processing - Wikipedia

   en.wikipedia.org/wiki/Stream_processing

   Stream processing is essentially a compromise, driven by a data-centric model that works very well for traditional DSP or GPU-type applications (such as image, video and digital signal processing) but less so for general purpose processing with more randomized data access (such as databases). By sacrificing some flexibility in the model, the ...

7. Data preprocessing - Wikipedia

   en.wikipedia.org/wiki/Data_Preprocessing

   Semantic data mining is a subset of data mining that specifically seeks to incorporate domain knowledge, such as formal semantics, into the data mining process.Domain knowledge is the knowledge of the environment the data was processed in. Domain knowledge can have a positive influence on many aspects of data mining, such as filtering out redundant or inconsistent data during the preprocessing ...

8. Codecademy - Wikipedia

   en.wikipedia.org/wiki/Codecademy

   The platform also provides courses for learning command line and Git. [3] In September 2015, Codecademy, in partnership with Periscope, added a series of courses designed to teach SQL, the predominant programming language for database queries. [21] In October 2015, Codecademy created a new course, a class on Java programming. As of January 2014 ...

9. Python syntax and semantics - Wikipedia

   en.wikipedia.org/wiki/Python_syntax_and_semantics

   A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers). The Python language has many similarities to Perl, C, and Java. However, there are some ...