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Open Source Python Formats and Protocols - Page 13

Browse free open source Python Formats and Protocols and projects below. Use the toggles on the left to filter open source Python Formats and Protocols by OS, license, language, programming language, and project status.

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  • 1
    PyML server (Python Markup Language) is a content management framework. Page contents are written in pure Python, Python objects can be created and used to render HTML for remote browsers. PyML has been developped to be very simple and easy to use.
    Downloads: 0 This Week
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  • 2
    PyMorseRSS is a project using Python to generate Morse code practice files and making them available via RSS. The Morse code practice files are generated according to the Koch method using Farnsworth timing and both MP3 and OGG outputs are supported.
    Downloads: 0 This Week
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  • 3
    PyOFX converts bank statement download files in the old OFC format used by MS Money 97 to the new OFX format.
    Downloads: 0 This Week
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  • 4
    PySOS, a python-based implementation of the OGC SOS standard. PySOS is a lightweight set of scripts that work in conjunction with a web server to serve data from a relational database.
    Downloads: 0 This Week
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  • 5

    PySimpleTable

    Lightweight Python 2D table object with column headers

    For 2D data objects in Python, you have 3 main options: - Numpy Array - Pandas DataFrame (built on np.array) - SQL table Numpy and Pandas are great for working with a complete set of data, but not very efficient for building up row by row. SQL is good for building up the object row by row, but you have to write SQL and leave the world of Python objects. PySimpleTable tries to find the middle ground with more flexibility than Numpy or Pandas for incrementally building a 2D object without needing to use SQL. Once the 2D object is created, call an included method to convert it to a more efficient and powerful Numpy Array or Pandas DataFrame for the real work. A PySimpleTable has column headers names. Cells are referenced by: tbl[row_num][col_num] tbl[row_num]['colname'] Rows are added easily. Columns cannot be added or removed. Other features include: - sorting by column(s) - filter by function - convert to Numpy Array or Pandas DataFrame
    Downloads: 0 This Week
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  • 6
    Python interface to NMR-STAR and mmCIF files
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  • 7
    Python implementation of the WS-CIM Standard. Includes a converter from CIM MOF files to XML Schema/WSDL files.
    Downloads: 0 This Week
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  • 8
    PyWeaver is going to be a fully functional HTML editor. It uses wxPython. We will being using Procedural Programming to give us the flexibility, simplicity and the kind of code reuse that Object Orientation cannot give at this stage of development.
    Downloads: 0 This Week
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  • 9
    pywincedb is a Python module to access native Windows CE databases and set of tools to manipulate them (conversion to/from XML, migration). Keywords: Python, WindowsCE, WinCE.
    Downloads: 0 This Week
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  • 10
    Pybtex is a drop-in replacement for BibTeX written in Python.
    Downloads: 0 This Week
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  • 11
    Pytago

    Pytago

    A source-to-source transpiler for Python to Go translation

    pytago is a source-to-source transpiler that converts some Python into human-readable Go. It enables developers to translate Python codebases into Go, facilitating migration or interoperability between the two languages. ​
    Downloads: 0 This Week
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  • 12
    Note: latest version can be found at https://github.com/targeted/pythomnic3k Pythomnic3k is a Python 3 framework for service-oriented middleware with hot reloading and fault tolerance. It is used for integrating various systems in enterprise network or writing standalone network services.
    Downloads: 0 This Week
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  • 13

    Python HTML Calendar Generator

    Command line HTML calendar generator.

    Python 3 based HTML calendar generator. Generates either a single calendar month or a set of 12 calendar months for a given year. Adjust for leap year and system file separator differences.
    Downloads: 0 This Week
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  • 14
    Python JSONPath Next-Generation

    Python JSONPath Next-Generation

    JSONPath implementation for Python that aims to be standard compliant

    A final implementation of JSONPath for Python that aims to be standard compliant, including arithmetic and binary comparison operators, as defined in the original JSONPath proposal. This package merges both jsonpath-rw and jsonpath-rw-ext and provides several AST API enhancements, such as the ability to update or remove nodes in the tree. This library provides a robust and significantly extended implementation of JSONPath for Python. It is tested with CPython 3.7 and higher. This library differs from other JSONPath implementations in that it is a full language implementation, meaning the JSONPath expressions are first-class objects, easy to analyze, transform, parse, print, and extend.
    Downloads: 0 This Week
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  • 15
    A python package for interpreting METAR coded weather reports
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  • 16
    A python module aimed to automate routine lab calculating and formatting tasks.
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  • 17
    A python program that implements the SMPP protocol and can connect to a Short Message Service Center (SMS-C) or other SMPP compliant software over a network. Generally used for sending and receiving of SMS.
    Downloads: 0 This Week
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  • 18

    Python Variable Variables Manager

    a python manager class for named variables (variable name is variable)

    Addressing the question for variable variables in python (i.e. variables with variable names), which has been posed on stackoverflow: http://stackoverflow.com/questions/1373164/how-do-i-do-variable-variables-in-python The consensus is to use a dictionary for this. This is a good idead, however, there are many aspects arising from this: * you'll yourself be responsible for this dictionary, including garbage collection (of in-dict variables) etc. * there's no locality for variable variables, all are global within the dictionary, unless you locally define different dictionaries for this purpose * you are more flexible, e.g. you can decide to overwrite existing variables or, alternatively, to raise an exception on overwriting (e.g. for const variables) * if you want to rename a variable name, you'll have to do it manually * ... Please Find some examples in the Wiki
    Downloads: 0 This Week
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  • 19
    a Project with All the bells and whistles to allow the average user to fully benefit from HTTP,DNS,FTP,SSH through python, allowing quick and easy deploying of servers without compiling, or installing anything but our favorite language.
    Downloads: 0 This Week
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  • 20
    Python library parser for the Windows NT/2k/XP/Vista registry file format.
    Downloads: 0 This Week
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  • 21
    Python XML Serialization
    pyxser stands for python xml serialization and is a python object to XML serializer that validates every XML deserialization against the pyxser 1.0 XML Schema. pyxser is written entirely in C as a python extension.
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    Downloads: 0 This Week
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  • 22
    Python XML Validator

    Python XML Validator

    Validates XML against xml schema. Based on Python lxml module.

    Validates XML against xml schema. Based on Python lxml module.
    Downloads: 0 This Week
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  • 23
    QAL

    QAL

    Query Abstraction Layer

    Project has moved to: https://github.com/OptimalBPM/qal QAL is a collection of libraries for mining, transforming and writing data from and to a number of places. Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. JSON and MongoDB is coming. It uses XML/JSON formats(self-generated SQL schemas) for representing queries, transformation and merging, making it scriptable. This means that QAL can be backend agnostic about a subset of SQL features and data types. Of course custom SQL:s are also supported. It is currently distributed as a Python 3 Library (pip3 install python3-qal) and Debian .deb package. It is related the Optimal BPM project, see its Optimal Sync application for usage examples. The text of this page is released under the Creative Commons Zero Waiver 1.0 (CC0).
    Downloads: 0 This Week
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  • 24
    This is a collection of REST specifications, and implementations of those specs, for very low-level information sharing and workflow operations using REST actions over HTTP. Implementations are in various languages, mainly Java, Python, and Ruby.
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  • 25
    RSS Proxy is software package written in Python. It can run on both Windows and Linux. It can either run as a proxy (i.e., RSS Reader get data through it), or run as a web server (i.e., there is a web interface for both common users and administrators).
    Downloads: 0 This Week
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