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...database application. The product is composed of three separate modules: The server backend is written in Python, and provides data storage and processing facilities. The Graphical User Interface front-end is written in Adobe Flex, and provides aid to the functionality exposed by the server. It requires a live connection to the server in order to function. A JavaScript 'tracking code' is installed on client web pages and provides the server with active web analytics. Some of the other technol...
...data, as well as a Subversion source code repository. All of the features are integrated, and we leverage a number of modern techniques to help you manage your data, such as RSS, Tagging, and an intuitive "Ajax" interface. You can manage your data as an outline, or build custom queries with complete control over filter criteria, column layout, and sort order. We figure that you know more about your project than we do, so we give you a set of very flexible tools to mold our software aro...
...data typing and very late binding Tight integration with C, C++, and Java modules May be compiled to Java byte code for use in any JVM String and regular expression processing Extensive XML and web services support HTTP, FTP, SMTP, POP, IMAP, NNTP, telnet, and other IP protocols HTML, MIME, base64, binhex, uuencode, and other internet data handling GUI development and multimedia services Unit testing, profiling, and documentation generation Restricted execution security option Availabl...
...data types and C/C++ data types and error checking, translation error return values into Python exception. Creation of glue extensions is simplified by the existence of SWIG, which reads header files containing function and method prototypes and automatically generates the necessary type conversion and error checking code. In situations where the underlying code (usually C code) doesn't use an object-oriented model, the glue extension can in turn be wrapped in a Python module that defi...
...data, XML has expanded to encompass databases, distributed computing, and so on. The XML Topic Guide, maintained by the XML SIG, contains links to documentation, source, and so on. While Python includes basic XML processing capabilities, the goal of this SIG is to make Python become the premier language for XML processing. The SIG, through the mailing list and the PyXML project hosted on SourceForge, is helping to decide what software is required for this purpose, and coordinate i...
...Databases Data Mining Documentation Development Email Embedded Systems Functional Testing Game Development Groupware High Availability Java and Python Legacy System Integration Network Development Product Development Python on Windows Rapid Application Development Real Time Reuse RSS aggregator Scalability Systems Administration Testing Unit Testing Unix/Linux Developers User Interface Visual Effects Web Development Web2.0 XML Arts Film Business Apparel Industry Aviation Business Information...
...data structures describing biomolecules. Choice of languages The choice of Python plus C was made after an evaluation of various languages. I was rapidly convinced that only a mixture of a high-level interpreted language and a CPU-efficient compiled language could meet my seemingly conflicting requirements of rapid development and efficient execution. For the high-level part, Tcl was ruled out because it could not handle the complex data structures required by the project. Perl was ruled out b...
...data typing and very late binding Tight integration with C, C++, and Java modules May be compiled to Java byte code for use in any JVM String and regular expression processing Extensive XML and web services support HTTP, FTP, SMTP, POP, IMAP, NNTP, telnet, and other IP protocols HTML, MIME, base64, binhex, uuencode, and other internet data handling GUI development and multimedia services Unit testing, profiling, and documentation generation Available third party modules for database acc...
...Data Flow My primary task was to translate arbitrary data mined from various sources scattered throughout my organization into sensible-looking Microsoft Word 97 reports. I decided that this was best handled through a core pipeline of applications that cooperated with each other using common data conventions. This pipeline would be controlled by a Python generator application that would drive a set of front end translators, a content inserter, and a post-processing formatter to generate the repo...
...data analysis and visualization. Anaconda is a free collection of powerful packages for Python that enables large-scale data management, analysis, and visualization for Business Intelligence, Scientific Analysis, Engineering, Machine Learning, and more. Python and a comprehensive set of third-party packages and libraries are also available from several open source package manager projects for OS X, including: MacPorts Homebrew Fink
...data typing and very late binding Tight integration with C, C++, and Java modules May be compiled to Java byte code for use in any JVM String and regular expression processing Extensive XML and web services support HTTP, FTP, SMTP, POP, IMAP, NNTP, telnet, and other IP protocols HTML, MIME, base64, binhex, uuencode, and other internet data handling GUI development and multimedia services Unit testing, profiling, and documentation generation Restricted execu...
...data types. While this feature allows for quick and flexible code, it is the responsibility of the programmer to make explicit the data types that a function expects. A standard coding style that names variables according to their expected data type is an easy way to address this problem. A 30-day evaluation of Ultraseek 5.2 is available for download at http://www.verity.com/. About the Author Ryan Weisenberger is a software developer and project lead for Verity Ultraseek. He has been involved...
...data type, and Python is no exception. However, graphs are easily built out of lists and dictionaries. For instance, here's a simple graph (I can't use drawings in these columns, so I write down the graph's arcs): A -> B A -> C B -> C B -> D C -> D D -> C E -> F F -> C This graph has six nodes (A-F) and eight arcs. It can be represented by the following Python data structure: graph = {'A': ['B', 'C'], 'B': ['C', 'D'],...
...data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are avai...
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Released: June 3, 2025
This is a security release of Python 3.12 Note: The release you're looking at is Python 3.12.11, a security bugfix release for the legacy 3.12 series. Python 3.13 is now the latest feature release series of Python 3. Get the latest release of 3.13.x here. Security content in this …
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This is a security release of Python 3.10 Note: The release you're looking at is Python 3.10.18, a security bugfix release for the legacy 3.10 series. Python 3.13 is now the latest feature release series of Python 3. Get the latest release of 3.13.x here. Security content in this …
This is a security release of Python 3.11 Note: The release you're looking at is Python 3.11.13, a security bugfix release for the legacy 3.11 series. Python 3.13 is now the latest feature release series of Python 3. Get the latest release of 3.13.x here. Security content in this …
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