PyNamecheap is a Namecheap API client in Python.

This package implements functionality to work with plyline. Features:

• Visvalingham-Whyatt - removes the smallest triangles formed by three consecutive points in a polyline or polygon

• Douglas-Peucker - gives a better representation of the convex hull

Yamllint is a linter for YAML files. yamllint does not only check for syntax validity, but for weirdnesses like key repetition and cosmetic problems such as lines length, trailing spaces, indentation, etc.

pikepdf is a Python library for reading and writing PDF files.

The property-manager package defines several custom property variants for Python programming including required properties,writable properties, cached properties, etc.

This Python module enables remote procedure calls, clustering, and distributed-computing. For this purpose, it makes use of object-proxying, a technique that employs python's dynamic nature, to overcome the physical boundaries between processes and computers, so that remote objects can be manipulated as if they were local.

RFC 4648 specifies that Base64 should be padded to a multiple of 4 bytes using “=” characters. However this conveys no benefit so many protocols choose to use Base64 without the “=” padding.

jsonpointer allows you to access specific nodes by path in a JSON document (see RFC 6901).

This library connects to a database, using SQLAlchemy URL connect strings, then issue SQL commands within IPython or IPython Notebook.

pyquery allows you to make jQuery queries on xml documents. The API is as much as possible the similar to jQuery. pyquery uses lxml for fast xml and html manipulation.

oj is a command line tool to help solving problems on various online judges. This command automates downloading sample cases, generating additional test cases, testing for your code, and submitting it.

This package provides a parser to parse binary structs into dataclasses.

This is a library to support the Internationalised Domain Names in Applications (IDNA) protocol as specified in RFC 5891. This version of the protocol is often referred to as “IDNA2008” and can produce different results from the earlier standard from 2003. The library is also intended to act as a suitable drop-in replacement for the “encodings.idna” module that comes with the Python standard library but currently only supports the older 2003 specification.

This package provides tools to convert files in the format used by multiple Spanish banks (standard 43 of the Spanish Banking Council [CSB43] / Spanish Banking Association [AEB43]) to other formats.

Supported output formats are: OFX, HomeBank CSV, HTML, JSON, ODS (OpenDocument spreadsheet), CSV, TSV, XLS, XLSX (Microsoft Excel spreadsheet), and YAML.

The Scooby package reports the following information about the currently running system:

• operating system name;

• hardware information including machine type (e.g., i386, x86_64, etc.), CPU count and total RAM;

• Python environment (e.g., Python, IPython, etc.);

• file system name;

• Python version;

• versions of specified Python packages.

It can generate reports as HTML tables or plain text lists.

Scooby has no required dependencies, and only few optional dependencies.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

This package provides wrappers for the commands of Python 3.x such that they can also be invoked under their usual names---e.g., python instead of python3 or pip instead of pip3.

To function properly, this package should not be installed together with the python package: this package uses the python package as a propagated input, so installing this package already makes both the versioned and the unversioned commands available.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

This package provides wrappers for the commands of Python 3.x such that they can also be invoked under their usual names---e.g., python instead of python3 or pip instead of pip3.

To function properly, this package should not be installed together with the python package: this package uses the python package as a propagated input, so installing this package already makes both the versioned and the unversioned commands available.

This package provides wrappers for the commands of Python 3.x such that they can also be invoked under their usual names---e.g., python instead of python3 or pip instead of pip3.

To function properly, this package should not be installed together with the python package: this package uses the python package as a propagated input, so installing this package already makes both the versioned and the unversioned commands available.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.