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  2. MicroPython - Wikipedia

    en.wikipedia.org/wiki/MicroPython

    MicroPython is a software implementation of a programming language largely compatible with Python 3, written in C, that is optimized to run on a microcontroller. [ 2 ] [ 3 ] MicroPython consists of a Python compiler to bytecode and a runtime interpreter of that bytecode.

  3. Python (programming language) - Wikipedia

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

    Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...

  4. 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 ...

  5. Set (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Set_(abstract_data_type)

    OCaml's standard library contains a Set module, which implements a functional set data structure using binary search trees. The GHC implementation of Haskell provides a Data.Set module, which implements immutable sets using binary search trees. [9] The Tcl Tcllib package provides a set module which implements a set data structure based upon TCL ...

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  7. Serialization - Wikipedia

    en.wikipedia.org/wiki/Serialization

    Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...

  8. Standard streams - Wikipedia

    en.wikipedia.org/wiki/Standard_streams

    Standard output is a stream to which a program writes its output data. The program requests data transfer with the write operation. Not all programs generate output. For example, the file rename command (variously called mv, move, or ren) is silent on success. Unless redirected, standard output is inherited from the parent process.

  9. Machine code - Wikipedia

    en.wikipedia.org/wiki/Machine_code

    A program in machine code consists of a sequence of machine instructions (possibly interspersed with data). [1] Each machine code instruction causes the CPU to perform a specific task. Examples of such tasks include: Load a word from memory to a CPU register; Execute an arithmetic logic unit (ALU) operation on one or more registers or memory ...