Design Patterns for e-Science: 4 (Texts in Computational Science and Engineering)

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Libraries for accessing third party services APIs. Also see awesome-CIandCD.

Factory Design Pattern Introduction

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Python Makefile. Python Branch: master New pull request. Find File. Download ZIP. Sign in Sign up. Launching GitHub Desktop Go back. Launching Xcode Launching Visual Studio Latest commit 15fa Sep 16, Awesome Python A curated list of awesome Python frameworks, libraries, software and resources. Inspired by awesome-php. Algorithms and Design Patterns Python implementation of algorithms and design patterns. PyPattyrn - A simple yet effective library for implementing common design patterns. Audio Libraries for manipulating audio and its metadata. TimeSide - Open web audio processing framework.

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Metadata beets - A music library manager and MusicBrainz tagger. Authentication Libraries for implementing authentications schemes. Build Tools Compile software from source code. BitBake - A make-like build tool for embedded Linux. PlatformIO - A console tool to build code with different development platforms. SCons - A software construction tool. Built-in Classes Enhancement Libraries for enhancing Python built-in classes. Box - Python dictionaries with advanced dot notation access. DottedDict - A library that provides a method of accessing lists and dicts with a dotted path notation.

Kotti - A high-level, Pythonic web application framework built on Pyramid. Caching Libraries for caching data. HermesCache - Python caching library with tag-based invalidation and dogpile effect prevention. ChatOps Tools Libraries for chatbot development. Code Analysis Tools of static analysis, linters and code quality checkers. Code Analysis coala - Language independent and easily extendable code analysis application.

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Code Linters flake8 - A wrapper around pycodestyle , pyflakes and McCabe. Code Formatters black - The uncompromising Python code formatter. Static Type Checkers, also see awesome-python-typing mypy - Check variable types during compile time. Static Type Annotations Generators MonkeyType - A system for Python that generates static type annotations by collecting runtime types Command-line Interface Development Libraries for building command-line applications.

Productivity Tools cookiecutter - A command-line utility that creates projects from cookiecutters project templates. PathPicker - Select files out of bash output. Compatibility Libraries for migrating from Python 2 to 3. Computer Vision Libraries for computer vision. SimpleCV - An open source framework for building computer vision applications. Concurrency and Parallelism Libraries for concurrent and parallel execution.

Configuration Libraries for storing and parsing configuration options. Cryptography cryptography - A package designed to expose cryptographic primitives and recipes to Python developers. Data Analysis Libraries for data analyzing. Orange - Data mining, data visualization, analysis and machine learning through visual programming or scripts. Pandas - A library providing high-performance, easy-to-use data structures and data analysis tools. Data Validation Libraries for validating data.

Used for forms in many cases. Cerberus - A lightweight and extensible data validation library. Schematics - Data Structure Validation. Data Visualization Libraries for visualizing data. Altair - Declarative statistical visualization library for Python. Bokeh - Interactive Web Plotting for Python. Matplotlib - A Python 2D plotting library. PyGraphviz - Python interface to Graphviz. Seaborn - Statistical data visualization using Matplotlib. Database Databases implemented in Python. A key-value and object graph database.

Database Drivers Libraries for connecting and operating databases. Telephus - Twisted based client for Cassandra. Date and Time Libraries for working with dates and times. Chronyk - A Python 3 library for parsing human-written times and dates. Inspired by Moment. Pendulum - Python datetimes made easy.

Algorithm pdf notes

Brings the tz database into Python. Debugging Tools Libraries for debugging code. Tracing lptrace - strace for Python programs. Written in Rust. Others icecream - Inspect variables, expressions, and program execution with a single, simple function call. SerpentAI - Game agent framework.

Use any video game as a deep learning sandbox. Theano - A library for fast numerical computation. OpenStack - Open source software for building private and public clouds. Distributed Computing Frameworks and libraries for Distributed Computing. Ray - A system for parallel and distributed Python that unifies the machine learning ecosystem. Stream Processing faust - A stream processing library, porting the ideas from Kafka Streams to Python. Distribution Libraries to create packaged executables for release distribution.

Nuitka - Compile scripts, modules, packages to an executable or extension module. PyInstaller - Converts Python programs into stand-alone executables cross-platform. Documentation Libraries for generating project documentation. Downloader Libraries for downloading. E-commerce Frameworks and libraries for e-commerce and payments. Cartridge - A shopping cart app built using the Mezzanine. Vim jedi-vim - Vim bindings for the Jedi auto-completion library for Python.

Has free community edition available. Email Libraries for sending and parsing email. Marrow Mailer - High-performance extensible mail delivery framework. Environment Management Libraries for Python version and virtual environment management. PyFilesystem2 - Python's filesystem abstraction layer. Foreign Function Interface Libraries for providing foreign function interface. Forms Libraries for working with forms. WTForms - A flexible forms validation and rendering library.

Functional Programming Functional Programming with Python.

Coconut - Coconut is a variant of Python built for simple, elegant, Pythonic functional programming. CyToolz - Cython implementation of Toolz: High performance functional utilities. Toolz - A collection of functional utilities for iterators, functions, and dictionaries. GUI Development Libraries for working with graphical user interface applications.

Flexx - Flexx is a pure Python toolkit for creating GUI's, that uses web technology for its rendering. Gooey - Turn command line programs into a full GUI application with one line. Game Development Awesome game development libraries. Panda3D - 3D game engine developed by Disney. Pygame - Pygame is a set of Python modules designed for writing games. PyOgre - Python bindings for the Ogre 3D render engine, can be used for games, simulations, anything 3D.

RenPy - A Visual Novel engine. Geolocation Libraries for geocoding addresses and working with latitudes and longitudes. GeoDjango - A world-class geographic web framework. Hardware Libraries for programming with hardware. PyUserInput - A module for cross-platform control of the mouse and keyboard. Image Processing Libraries for manipulating images. Quads - Computer art based on quadtrees. It enables on-demand crop, re-sizing and flipping of images.

Implementations Implementations of Python. CPython - Default, most widely used implementation of the Python programming language written in C. Cython - Optimizing Static Compiler for Python.


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Grumpy - More compiler than interpreter as more powerful CPython2. Clark, J. Thompson, and B. Knowledge Patterns. Cohn, F. Giunchiglia, and B. Morgan Kaufmann. Gamma, R. Helm, R. Johnson, and J. Addison-Wesley, Reading, MA, Ontology design patterns for semantic web content. Springer, Gangemi and V. Towards a pattern science for the semantic web. Semantic Web, 1 —68, Gruninger and M. Presutti and A. O'Reilly, April Van Der Aalst, A.

Ter Hofstede, B. Kiepuszewski, and A. Workflow Patterns. Distributed and Parallel Databases, —51, In this brief chapter, we will elaborate on the different roles which logical axiomatizations can play for ontology design patterns and for ontologies in general. While doing this, we also encounter some of the many open research questions regarding this issue. Ontology design patterns are a promising approach for ontology engineering. In this chapter, we introduce the notion of Ontology Pattern Language OPL as a way to organize domain-related ontology patterns.

This chapter is organized as follows: Section 7.

Why choose this course?

Section 7. Finally, Section 7. Though they were both specifically developed for the Semantic Web and their development occurred in tandem, the motivations underlying RDF and OWL are different, and this is reflected in the syntax and semantics of each. RDF is intended to be simple and open, allowing users on the Web to make statements about resources. From the standpoint of logical expressivity, it is relatively limited. OWL, in contrast, is intended explicitly for the development of formal ontologies, and as such it has a more sophisticated logical syntax and semantics. Guest Access.

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As a guest user you are not logged in or recognized by your IP address. Series Studies on the Semantic Web.

Description The use of ontologies for data and knowledge organization has become ubiquitous in many data-intensive and knowledge-driven application areas, in science, industry, and the humanities. Order hardcopy. Front Matter. Bibliography [1] C. The Timeless Way of Building.

Learning Outcomes (Undergraduate)

Oxford Press, Elements of Pattern Theory. Johns Hopkins University Press, Baltimore, Data Model Patterns. Dorset House Publishing,