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Welcome to graph-tool’s documentation! — graph-tool 2.2.29.1 documentation
Overview of Bulbs, a Python Framework for Graph Databases like Neo4j | Bulbflow Overview of Bulbs, a Python Framework for Graph Databases like Neo4j | Bulbflow A Python framework for graph databases. Bulbs is an open-source Python persistence framework for graph databases and the first piece of a larger Web-development toolkit that will be released in the upcoming weeks. It’s like an ORM for graphs, but instead of SQL, you use the graph-traveral language Gremlin to query the database. Bulbs supports pluggable backends, and you can use it to connect to either Neo4j Server or Rexster. Neo4j Server is Neo4j‘s official server.
Something I've heard a few times from developers coming to Python from languages such as PHP is that module importing and the PYTHONPATH is a bit of a mystery. I remember understanding PYTHONPATH when I learned Python since I'd done a bit of Java at university (and PYTHONPATH is conceptually the same as Java's CLASSPATH), but several flavours of import confused me. This post covers both; first we'll talk about the import statement, and then we'll cover PYTHONPATH. Understanding import and from ... import ... Python has two forms of import statement. Understanding imports and PYTHONPATH — Stereoplex Understanding imports and PYTHONPATH — Stereoplex

python plotting — Matplotlib 1.2.0 documentation

python plotting — Matplotlib 1.2.0 documentation matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell (ala MATLAB®* or Mathematica®†), web application servers, and six graphical user interface toolkits. matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code. For a sampling, see the screenshots, thumbnail gallery, and examples directory
jython

The Python Tutorial Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site, http://www.python.org/, and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C).

The Python Tutorial

Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site, http://www.python.org/, and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation. The Python Tutorial — Python v3.3.0 documentation The Python Tutorial — Python v3.3.0 documentation
Python Programming Language – Official Website Python Programming Language – Official Website Get Started Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Start with our Beginner’s Guide Download

Python (programming language)

Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.[18] Like other dynamic languages, Python is often used as a scripting language, but is also used in a wide range of non-scripting contexts. Python (programming language)

PyBrain

PyBrain PyBrain is a modular Machine Learning Library for Python. Its goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms. PyBrain is short for Python-Based Reinforcement Learning, Artificial Intelligence and Neural Network Library.
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