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  2. Profiling (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Profiling_(computer...

    Python: Python profiling includes the profile module, hotshot (which is call-graph based), and using the 'sys.setprofile' function to trap events like c_{call,return,exception}, python_{call,return,exception}. Ruby: Ruby also uses a similar interface to Python for profiling. Flat-profiler in profile.rb, module, and ruby-prof a C-extension are ...

  3. List of performance analysis tools - Wikipedia

    en.wikipedia.org/wiki/List_of_performance...

    C, C++, Fortran/Fortran90 and Python applications. Performance profiler. Shows I/O, communication, floating point operation usage and memory access costs. Supports multi-threaded and multi-process applications - such as those with MPI or OpenMP parallelism and scales to very high node counts. Proprietary CodeAnalyst by AMD: Linux, Windows

  4. Feature (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Feature_(machine_learning)

    Examples of categorical features include gender, color, and zip code. Categorical features typically need to be converted to numerical features before they can be used in machine learning algorithms. This can be done using a variety of techniques, such as one-hot encoding, label encoding, and ordinal encoding.

  5. 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. PyS60 was a Python 2 interpreter for Series 60 mobile phones released by Nokia in 2005.

  6. Standard step method - Wikipedia

    en.wikipedia.org/wiki/Standard_Step_Method

    For an M1 Profile, you must find the rise at the downstream boundary condition, the normal depth at the upstream boundary condition, and also the length of the transition.) To find the length of the gradually varied flow transitions, iterate the “step length”, instead of height, at the boundary condition height until equations 4 and 5 agree.

  7. Column generation - Wikipedia

    en.wikipedia.org/wiki/Column_generation

    Column generation or delayed column generation is an efficient algorithm for solving large linear programs. The overarching idea is that many linear programs are too large to consider all the variables explicitly. The idea is thus to start by solving the considered program with only a subset of its variables.

  8. Help:Advanced table formatting - Wikipedia

    en.wikipedia.org/wiki/Help:Advanced_table_formatting

    For each table, insert an alpha-prefix on each column (making each row-token "|-" to sort as column zero, like prefix "Row124col00"), then sort into a new file, and then de-prefix the column entries. Again, bear in mind, the tedious hand-editing of items in each row is often faster than the potential delay of automated edits gone awry.

  9. UFT One - Wikipedia

    en.wikipedia.org/wiki/UFT_One

    Each row in the table represents a step that can be modified. The Keyword View can also contain any of the following columns: Item, Operation, Value, Assignment, Comment, and Documentation. For every step in the Keyword View, UFT displays a corresponding line of script based on the row and column value.