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共有5,161项符合/ports-mgmt/的查询结果,以下是第4,3114,320项(搜索用时0.009秒)
textproc/jaxml-3.02 (Score: 0.006224396)
Python module to generate XML easily
A Python module to generate XML easily
textproc/asv-0.5 (Score: 0.006224396)
Extensible Python module to parse simple text file formats like CSV
ASV is a popular Python module to parse or write simple text file formats such as comma-separated values (CSV), tab-separated values (TSV) and colon-separated values. It can easily be extended to cope with other related file formats. This port installs both a Python module ("ASV"), and an executable command-line script ("asv"). This release of ASV requires Python 2.0 or later, and is still to be regarded as a beta version.
textproc/dsv-1.4.1 (Score: 0.006224396)
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/pystemmer-1.3.0 (Score: 0.006224396)
Snowball Stemming Algorithms for Information Retrieval
PyStemmer provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". PyStemmer provides algorithms for several (mainly european) languages, by wrapping the libstemmer library from the Snowball project in a Python module. It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
textproc/pss-1.41 (Score: 0.006224396)
Tool for grepping through source code
You can think of pss as an enhanced grep designed to search inside source code files. pss is very similar to the Perl ack tool (see https://bitbucket.org/eliben/pss/wiki/PssAndAck).
textproc/excelerator-0.6.4.1 (Score: 0.006224396)
生成 Excel 97/2000/XP/2003 文件的 Python 库
pyExcelerator 是一个 Python 库,能生成 Excel 97+ 文件和导入 Excel 95+ 文件。 在 Excel 文件中支持 Unicode 并能使用多种格式化功能和打印选项。可以导出 Excel 和 OLE2 复合文件。
textproc/rss2gen-1.1 (Score: 0.006224396)
Python library for generating RSS 2.0 feeds
RSS2Gen is a Python library for generating RSS 2.0 feeds.
textproc/libtre-0.8.0 (Score: 0.006224396)
Python interface for the tre regular expressions library
Libtre is an attempt to create a lightweight, robust, and efficient fully POSIX compliant regexp matching library. There is still some work left, but the results so far are promising. At the core of Libtre is a new algorithm for regular expression matching with submatch addressing. The algorithm uses linear worst-case time in the length of the text being searched, and quadratic worst-case time in the length of the used regular expression. In other words, the time complexity of the algorithm is O(M2N), where M is the length of the regular expression and N is the length of the text. The used space is also quadratic on the length of the regex, but does not depend on the searched string. This quadratic behaviour occurs only on pathological cases which are probably very rare in practice.
textproc/ltxml-1.3 (Score: 0.006224396)
Python bindings to the LT XML toolkit
Python bindings for the LT XML API and toolkit.
textproc/wordnet-2.0.1 (Score: 0.006224396)
Python Interface to WordNet
PyWordNet is a Python interface to the WordNet database of word meanings and lexical relationships. (A lexical relationship is a relationship between words, such as synonym, antonym, hypernym ("poodle" -> "dog"), and hyponym ("poodle" -> "dog").