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  2. Python (programming language) - Wikipedia

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

    Strings in Python can be concatenated by "adding" them (with the same operator as for adding integers and floats), e.g. "spam" + "eggs" returns "spameggs". If strings contain numbers, they are added as strings rather than integers, e.g. "2" + "2" returns "22". Python has various string literals :

  3. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    def foo(x): if x == 0: bar() else: baz(x) foo(x - 1) and could be written like this in C with K&R indent style : void foo(int x) { if (x == 0) { bar(); } else { baz(x); foo(x - 1); } } Incorrectly indented code could be misread by a human reader differently than it would be interpreted by a compiler or interpreter.

  4. Zen of Python - Wikipedia

    en.wikipedia.org/wiki/Zen_of_Python

    The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. Python code that aligns with these principles is often referred to as "Pythonic".

  5. History of Python - Wikipedia

    en.wikipedia.org/wiki/History_of_Python

    Python 2.5 was released in September 2006 and introduced the with statement, which encloses a code block within a context manager (for example, acquiring a lock before the block of code is run and releasing the lock afterwards, or opening a file and then closing it), allowing resource acquisition is initialization (RAII)-like behavior and replacing a common try/finally idiom.

  6. Machine code - Wikipedia

    en.wikipedia.org/wiki/Machine_code

    Machine code is by definition the lowest level of programming detail visible to the programmer, but internally many processors use microcode or optimize and transform machine code instructions into sequences of micro-ops. Microcode and micro-ops are not generally considered to be machine code; except on some machines, the user cannot write ...

  7. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    Library for machine learning. License. New BSD License. Website. scikit-learn .org. 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]

  8. NumPy - Wikipedia

    en.wikipedia.org/wiki/NumPy

    NumPy (pronounced / ˈnʌmpaɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3] The predecessor of NumPy, Numeric, was originally created by Jim Hugunin with contributions ...

  9. Source lines of code - Wikipedia

    en.wikipedia.org/wiki/Source_lines_of_code

    Source lines of code. Source lines of code ( SLOC ), also known as lines of code ( LOC ), is a software metric used to measure the size of a computer program by counting the number of lines in the text of the program's source code. SLOC is typically used to predict the amount of effort that will be required to develop a program, as well as to ...

  10. Spyder (software) - Wikipedia

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

    Spyder is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language. Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.

  11. Assembly language - Wikipedia

    en.wikipedia.org/wiki/Assembly_language

    Assembly language (or Assembler) is a compiled, low-level computer language. It is processor-dependent since it basically translates the Assembler's mnemonics directly into the commands a particular CPU understands, on a one-to-one basis. These Assembler mnemonics are the instruction set for that processor.