Search Results for "compiler python linux"
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Showing 5 open source projects for "compiler python linux"
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SageMaker Spark Container
Docker image used to run data processing workloads
Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data... -
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Render 4 Monitoring
Render Web Services for Viewing/Monitoring and Test Web Applications
Renders and aggregates other web services into static HTML monitoring output. Also implements simple and dynamic testing of web based applications using mechanize. Includes Basic authentication, and ADFS authentication for web service testing. Custom authentications can be implemented very easily with python programming. Implements PhantomJS rendering for Javascript/HTML5 dynamic web pages. Requires python3 -
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Envelop (Risk and Audits software)
Governance, Risk, and Compliance Management Tool
Envelop is a management tool that focuses on governance, risk and compliance processes and documentation. Auditing and managing audit workflows is the main feature of this tool. Envelop is an audit software, that helps with internal and external audits to be managed. The common usage of this tool would be for audits, e.g. financial audits done by internal or external auditors. The overall structure follows this hierarchy : Process > Objective > Risk > Control > Test > Finding You... -
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A python system designed to offload the weight of a server in to multiple clients, in theory preventing the need for a server in the first place...(currently minecraft only)
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CostosPy esta diseñado para manejar la ejecucion de pequeños proyectos de construcción, ayudar a la facturación y el analisis dia a dia de costos vs producido.
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