Python Binding
Advertisement
OpenOPC for Python v.1. 1. 2006
OpenOPC for Python is a free, open source OPC (OLE for Process Control) toolkit designed for use with the popular Python programming language. The unique features that set it apart from the many commercially available OPC toolkits include.
Advertisement
Python Encryption Library for Mac OS X v.9.3.2
Python encryption library for encrypting and decrypting both strings and binary data.
Python Encryption Library for Linux v.9.3.2
Python encryption library for encrypting and decrypting both strings and binary data.
Python Encryption Library x64 v.9.3.2
Python encryption library x64 for encrypting and decrypting both strings and binary data.
Movable Python v.2.5
Movable Python is a portable distribution of Python for Windows capable of running of a USB stick.
TruStudio PHP&Python IDE v.1.0.0
About TruStudio PHP&Python IDEPHP and Python IDE built on top of the Eclipse Platform.
Devart Python Connector for ASE v.1.0.1
Python Connector for ASE is a connectivity solution for accessing ASE databases from Python applications. It fully implements the Python DB API 2.0 specification. The connector is distributed as a wheel package for Windows, macOS, and Linux.
DC Binding Recordset v.4.0
DC Binding Recordset lets you effortlessly navigate database records, on top of adding, editing, saving, or deleting them. In a few clicks lets you set the links or relationships between database tables, and set up a search functionality.
Python Code Library v.2.1.0.146
Python Code Library is a powerful source code Library shipped with 1000+ lines of code, quick and powerful search engine, powerful printing capability, password protection, user notes & attachments handeling, favorites & rating support and more!
Enthought Python Distribution v.2. 5. 2001
The Enthought Python Distribution provides scientists with a comprehensive set of tools to perform rigorous data analysis and visualization.
Python mahotas-0.6.5 v.0.6.6
Mahotas is a set of functions for image processing in Python. It is completely based on numpy arrays as its datatype. It has its heavy routines implemented in clean C in a way that is both very clean, type independent (using templates), and fast.