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  2. NumPy - Wikipedia

    en.wikipedia.org/wiki/NumPy

    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 ...

  3. Naming convention (programming) - Wikipedia

    en.wikipedia.org/wiki/Naming_convention...

    In computer programming, a naming convention is a set of rules for choosing the character sequence to be used for identifiers which denote variables, types, functions, and other entities in source code and documentation . Reasons for using a naming convention (as opposed to allowing programmers to choose any character sequence) include the ...

  4. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    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 ...

  5. A new tool can crack a credit card number in six seconds

    techcrunch.com/2016/12/05/a-new-tool-can-crack-a...

    A new tool can crack a credit card number in six seconds. In what amounts to a very clever brute force attack, a group of researchers has figured out how to find credit card information ...

  6. Delimiter - Wikipedia

    en.wikipedia.org/wiki/Delimiter

    A delimiter is a sequence of one or more characters for specifying the boundary between separate, independent regions in plain text, mathematical expressions or other data streams. [ 1][ 2] An example of a delimiter is the comma character, which acts as a field delimiter in a sequence of comma-separated values.

  7. How early-stage startups can use data effectively | TechCrunch

    techcrunch.com/2019/09/05/how-early-stage...

    The best way is to split your data into two buckets or stages. The first one is a messy, unstructured bucket where you just record everything you need from different sources in different formats.

  8. Split and merge segmentation - Wikipedia

    en.wikipedia.org/wiki/Split_and_merge_segmentation

    Split and merge segmentation is an image processing technique used to segment an image. The image is successively split into quadrants based on a homogeneity criterion and similar regions are merged to create the segmented result. The technique incorporates a quadtree data structure, meaning that there is a parent-child node relationship.

  9. Split-step method - Wikipedia

    en.wikipedia.org/wiki/Split-step_method

    Split-step method. In numerical analysis, the split-step ( Fourier) method is a pseudo-spectral numerical method used to solve nonlinear partial differential equations like the nonlinear Schrödinger equation. The name arises for two reasons. First, the method relies on computing the solution in small steps, and treating the linear and the ...