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Results 1,2311,240 of 1,719 for /textproc/.(0.003 seconds)
textproc/creole-1.0.1 (Score: 0.068937615)
Markup converter in pure Python
python-creole is an markup converter in pure Python: * creole markup -> html * html -> creole markup * reStructuredText -> html * html -> reStructuredText markup * html -> textile markup
textproc/csvkit-0.9.1 (Score: 0.068937615)
Command line tools for working with CSV
csvkit is a suite of command-line tools for converting to and working with CSV, the king of tabular file formats.
textproc/dbfread-2.0.6 (Score: 0.068937615)
Read DBF files, returning data as native Python objects
Read DBF files with Python. DBF is a file format used by databases such as dBase, Visual FoxPro and FoxBase+. This library reads DBF files and returns the data as native Python data types for further processing. It is primarily intended for batch jobs and one-off scripts.
textproc/Text-CharWidth-0.04 (Score: 0.068937615)
Get number of occupied columns of a string on terminal
This module supplies features similar as wcwidth(3) and wcswidth(3) in C language. Characters have its own width on terminal depending on locale. For example, ASCII characters occupy one column per character, east Asian fullwidth characters (like Hiragana or Han Ideograph) occupy two columns per character, and combining characters (apperaring in ISO-8859-11 Thai, Unicode, and so on) occupy zero columns per character. mbwidth() gives the width of the first character of the given string and mbswidth() gives the width of the whole given string. The names of mbwidth and mbswidth came from "multibyte" versions of wcwidth and wcswidth which are "wide character" versions. mblen(string) returns number of bytes of the first character of the string. Please note that a character may consist of multiple bytes in multibyte encodings such as UTF-8, EUC-JP, EUC-KR, GB2312, or Big5. mbwidth(string) returns the width of the first character of the string. mbswidth(string) returns the width of the whole string. Parameters are to be given in locale encodings, not always in UTF-8.
textproc/docutils-0.12 (Score: 0.068937615)
Python Documentation Utilities
Utilities for the documentation of Python modules.
textproc/pdfminer-20140328 (Score: 0.068937615)
PDF parser and analyzer
PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis.
textproc/dsv-1.4.1 (Score: 0.068937615)
Python module to parse or write delimeter-separated (e.g. CSV) files
Paraphrasing the website: Python-DSV is a Python module for importing and exporting DSV (delimiter separated values) files. DSV is a generalization of CSV (comma separated values). CSV is a common file format used by many programs to import and export data. Features: - Pure Python - Optional wxPython GUI - Optional heuristics for determining file format - Handles embedded quotes, delimiters and newlines - Customizable error handling - Simple to use - Portable
textproc/curator-3.5.1 (Score: 0.068937615)
Python index manager for Elasticsearch
Have indices in Elasticsearch? This is the tool for you! Like a museum curator manages the exhibits and collections on display, Elasticsearch Curator helps you curate, or manage your indices.
textproc/elasticsearch-dsl-py-0.0.8 (Score: 0.068937615)
High level Python client for Elasticsearch
Elasticsearch DSL is a high-level library whose aim is to help with writing and running queries against Elasticsearch. It is built on top of the official low-level client (elasticsearch-py). It provides a more convenient and idiomatic way to write and manipulate queries. It stays close to the Elasticsearch JSON DSL, mirroring its terminology and structure. It exposes the whole range of the DSL from Python either directly using defined classes or a queryset-like expressions. It also provides an optional wrapper for working with documents as Python objects: defining mappings, retrieving and saving documents, wrapping the document data in user-defined classes. To use the other Elasticsearch APIs (eg. cluster health) just use the underlying client.
textproc/Text-Table-1.131 (Score: 0.068937615)
Organize Data in Tables
Organization of data in table form is a time-honored and useful method of data representation. While columns of data are trivially generated by computer through formatted output, even simple tasks like keeping titles aligned with the data columns are not trivial, and the one-shot solutions one comes up with tend to be particularly hard to maintain. Text::Table allows you to create and maintain tables that adapt to alignment requirements as you use them.