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Various Python Tools

Project description

bpyth

Some boring Python Tools, see jupyter directory.
You can try the notebooks there online via Colab.

Install

pip install bpyth

Files Tools

  • dump_pickle: open, dump, close
  • load_pickle: open, load, close
  • StreamFiles: Iterable, returns all filenames of a parent directory
  • StreamLines: Iterable, returns all lines of a text file

Human Tools

  • human_readable_number: Rounds a number to a fixed number of significant digits.
  • human_readable_seconds: Converts seconds to human readable time
  • human_readable_bytes: Converts Bytes to human readable size

Iterable Tools

  • minivenn: Compare two sets
  • flatten: Yield all items from any nested iterable
  • remove_dups: Remove dups from a list whilst-preserving-order
  • sort_by_priority_list: Sort a list by a list or tuple of prioritized objects
  • cut_counter: Truncates rare values of a counter
  • ranking_from_counter: Converts a counter into a ranking

Object Analysis Tools

  • rtype: Recursive type. Parses an n-dimensional object and returns a tuple of stype for the scalar in the top left corner.
  • shape: Recursive len. Parses an n-dimensional object and returns a tuple of sizes.
  • has_shape: Does an object have additional dimensions? (Skalars: No, Strings: No, Empty Iterables: No, Other Iterables: Yes)
  • memory_consumption: Returns the memory consumption of Python objects.

String Tools

  • superstrip : Removes Unicode whitespaces
  • remove_words : Removes stopwords
  • remove_dupwords: Removes dup words from a string whilst-preserving-order
  • longest_substr : Finds the longest common substring in a list of strings
  • random_str : Returns a random string


          

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