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.

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.

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.

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

Contains the bibliographic text (front page) of each patent grant issued weekly (Tuesdays) from January 6, 1976 to present (excludes images/drawings). Subset of the Patent Grant Full Text Data.

Contains the full text of each patent grant issued weekly (Tuesdays) from January 6, 1976 to present (excludes images/drawings). Subset of the Patent Grant Full Text Data with Embedded TIFF Images.

Patent Full Text/Automated Patent System (APS) (Green Book) for one week's worth of data January 6, 1976 (Week 01).

Patent Full Text/Automated Patent System (APS) (Green Book) for one week's worth of data January 13, 1976 (Week 02).

Contains the full text, images/drawings, and complex work units (tables, mathematical expressions, chemical structures, and genetic sequence data) of each patent grant issued weekly (Tuesdays) from January 2, 2001 to present.

Contains the images of each patent grant issued weekly (Tuesdays) from July 31, 1790 to present in Portable Document Format (PDF) created from the Patent Grant Single-Page TIFF Images. Also included are older grants that have new Certificates-of-Correction (C-of-C) and rescanned images of older patent grants.