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Python programming language

CellProfiler is designed to analyze large amounts of images automatically (17, 18). Since the analysis of thousands of images is very computationally intensive, a version is available to run on a Linux cluster allowing the parallelization of the analysis. The software is written in the Python programming language and the source code can be downloaded and extended by the community. [Pg.109]

Python Programming Language Official Website, http //www.python.org/... [Pg.151]

The SBML homepage (http //sbml.org) provides an impressive list of software implementing the notation. The site offers downloads of software libraries that enable easy incorporation to several programming languages (C, C++, Java, Python) as well as mathematics packages (Matlab, Mathematica), and this accessibility has significantly contributed to its success. [Pg.116]

CHEOPS is developed using C++ first under Unix, then under Microsoft Windows. However, certain components, in particular the tool wrappers, can be developed using other programming languages (e.g., Python, Fortran) even under different platforms. An inherent feature of CHEOPS is the support of inter-platform communication between the components using CORBA middleware. For instance, the tool and the corresponding wrapper component can run on a software platform other than Windows. [Pg.490]

Sometimes these general-purpose applications are not sufficiently specific to the needs of database users. In that case, custom applications can be written. Many programming languages have extensions that allow data to be selected from the database and read into data structures for further operations. This chapter considers ways of using ODBC (Open Database Correctivity), JDBC for Java, Perl DBI (Database Interface), pg and pgdb for Python, and PDO for PHP... [Pg.37]

Once methods like these are in place, they readily replace traditional read statements. RDBMS access methods are available for almost every programming language, not just python as in this example. These were discussed in Chapter 5. [Pg.132]

Python is a popular open source programming language, which is commonly used amongst scientists and engineers. We have chosen to use Python for creating companion software for this book, as opposed to conventional scientific software such as MATLAB, for two noteworthy reasons as follows ... [Pg.318]

Jupyter notebooks (previously known as IPython notebooks) are web applications that are best described as interactive documents containing code (i.e., written in a programming language such as Python), formatted explanatory text, interactive visualizations, and displayed mathematics, as shown in Figure C.l. [Pg.318]

RAVEN has been developed in a highly modular and pluggable way in order to enable easy integration of different programming languages (i.e., C-H-, Python) and, as already mentioned, coupling with any system code. [Pg.759]

Van Rossum, G. Python Programming Language (2007). USENIX Annual Technical Conference... [Pg.128]

PyRx is written in Python programming language and it can run on nearly any modern computer, from PC (personal computer) to supercomputer. Below details are provided of the Windows PC used in Subheading 3, although similar methods also work on Linux and Mac OS as well. [Pg.244]

In addition to the requirements for data storage and integration, there are also varying requirements for interfaces to the data to support the community. Bench scientists generally require intuitive Web interfaces or click-and-install graphical user interfaces. Application developers within the bioinformatics sector require stable application programming interfaces (APIs) in their preferred language (e.g., Java, Perl, C, C++, or Python). [Pg.390]


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Programming language

Python

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