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Imppy3d: Image processing in python for 3D image stacks
Data provided by National Institute of Standards and Technology
Image Processing in Python for 3D image stacks, or imppy3d, is a softwarerepository comprising mostly Python scripts that simplify post-processing and3D shape characterization of grayscale image stacks, otherwise known asvolume-based images, 3D images, or voxel models. imppy3d was originally createdfor post-processing image stacks generated from X-ray computed tomographymeasurements. However, imppy3d also contains a functions to aid inpost-processing general 2D/3D images.Python was chosen for this library because of it is a productive, easy-to-uselanguage.
Tags: python,image processing,3d,x-ray,tomography,image stack,
Modified: 2024-02-22
Views: 0
"pyproject2conda": A script to convert `pyproject.toml` dependencies to `environemnt.yaml` files.
Data provided by National Institute of Standards and Technology
The main goal of `pyproject2conda` is to provide a means to keep all basicdependency information, for both `pip` based and `conda` based environments, in`pyproject.toml`. I often use a mix of pip and conda when developing packages,and in my everyday workflow. Some packages just aren't available on both. The application provides a simple comment based syntax to add information to dependencies when creating `environment.yaml`. This package is actively used by the author, but is still very much a work inprogress.
Tags: python,devoloper tool,python packaging,
Modified: 2024-02-22
Views: 0
Enhanced Global Steel Trade Monitor
Data provided by International Trade Administration
Enforcement and Compliance's Global Steel Trade Monitor provides global import and export trends for the top countries trading in steel mill products.To supplement ITA's core trade statistics in the Steel Import Monitoring and Analysis (SIMA) system, quarterly country reports for the top 20 steel importing and top 20 steel exporting countries will be published.Each country report includes export and import trends by country and aggregate product, production and consumption data, and where available, information about trade remedy actions taken on steel products.
Tags: exports,imports,SIMA,steel,steel mill products,trade,U S steel,
Modified: 2024-02-22
Views: 0
Steel Import Monitoring and Analysis System (SIMA)
Data provided by International Trade Administration
The Steel Import Monitoring and Analysis (SIMA) System, under the Department of Commerce, collects and publishes data of steel mill product imports. By design this information provides stakeholders and public valuable information on steel trade with the United States.
Tags: downstream products,imports,license,SIMA,steel,steel mill imports,US steel mill imports,
Modified: 2024-02-22
Views: 0
U.S. Steel Export Monitor
Data provided by International Trade Administration
Table of U.S. exports of steel mill products for all steel mill products by quantity in metric tons.
Tags: exports,SIMA,steel,steel mill products,US steel exports,
Modified: 2024-02-22
Views: 0
U.S. Steel Import Monitor
Data provided by International Trade Administration
The ‘Import Monitor’ aggregates detailed license information and makes it available for public analysis on a weekly basis. All imported steel products under the U.S. Bureau of the Census (Census) definition of steel mill products are required to have an import license effective June 9, 20051. The data from the licensing system are used in conjunction with similar Census data to put together the ‘Import Monitor’. This Monitor helps alert users to changes in import patterns.
Tags: imports,steel,US steel imports,
Modified: 2024-02-22
Views: 0
FAQs for Steel
Data provided by International Trade Administration
Frequently Asked Questions covering the Steel Import Monitoring system, which includes both the steel import monitoring system and the import monitor
Tags: imports,steel,US steel imports,license,
Modified: 2024-02-22
Views: 0
The NIST Scan Framework for ARTIQ
Data provided by National Institute of Standards and Technology
The NIST scan framework is a framework that greatly simplifies the process of writing and maintaining scans of experimental parameters using the ARTIQ control system and language. The framework adopts the philosophy of convention over configuration where datasets are stored for analysis and plotting in a standard directory structure. The framework provides a number of useful features such as automatic calculation of statistics, fitting, validation of fits, and plotting that do not need to be performed by the user.
Tags: ARTIQ,python,Scans,
Modified: 2024-02-22
Views: 0
multicomplex: C++ and Python code for multicomplex arithmetic
Data provided by National Institute of Standards and Technology
The library multicomplex is an implementation of multicomplex algebra in C++ to allow for higher-order derivatives of numerical functions. Many (though not all) mathematical functions are implemented, allowing for calculation of derivatives (straight and mixed) to approximately numerical precision, which is difficult or impossible to achieve in conventional double precision
Tags: mathematics,multicomplex,derivatives,C++,python,
Modified: 2024-02-22
Views: 0
Optimal Bayesian Experimental Design
Data provided by National Institute of Standards and Technology
Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given a parametric model - analogous to a fitting function - Bayesian inference uses each measurement "data point" to refine model parameters. Using this information, the software suggests measurement settings that are likely to efficiently reduce uncertainties. A TCP socket interface allows the software to be used from experimental control software written in other programming languages.
Tags: GitHub pages template,experimental design,Bayesian,optbayesexpt,python,measurement,
Modified: 2024-02-22
Views: 0