Search Results for "python excel"
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Showing 10 open source projects for "python excel"
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AWS Data Wrangler
Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.
An AWS Professional Service open-source python initiative that extends the power of Pandas library to AWS connecting DataFrames and AWS data-related services. Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON, and EXCEL). Built on top of other open-source projects like Pandas, Apache Arrow and Boto3, it offers abstracted functions to execute usual ETL tasks like load/unload data from Data Lakes, Data Warehouses, and Databases. ... -
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KherveFitting
Fit X-ray Photoelectron Spectroscopy (XPS) and Raman data
KherveFitting is a full featured XPS & now Raman fitting software for Windows & macOS that is simple and easy to use. KherveFitting can open Excel files (.xlsx) or import/convert .vms, .avg, .kal, .spe (Thermo, Kratos, Specs, Scienta, Omicron, Phi) files into Excel format. 5 background types available: Tougaard, Shirley, Smart, Adaptive Smart. Various peak fitting models: Product and Sum of Gaussian and Lorentzian (GL & SGL), Voigt, Asymmetric Lorentzian (LA), Doniac-Sunjic (G*DS) and many... -
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asammdf
Fast Python reader and editor for ASAM MDF / MF4 (Measurement Format)
*asammdf* is a fast Python parser and editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF / MF4 (Measurement Data Format) files. It supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4). *asammdf* works on Python 2.7, and Python >= 3.4 -
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GrainSizeTools script
A Python script for estimating the grain size from thin sections
Homepage & docs: http://marcoalopez.github.io/GrainSizeTools/ GrainSizeTools is a free, open-source, cross-platform script written in Python that provides several tools for (1) estimating average grain size in polycrystalline materials, (2) characterizing the nature of the distribution of grain sizes (either from apparent distributions or approximating 3D grain size distributions via stereology), and estimating differential stress via paleopizometers. The script requires as the input the... -
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Open source steam property routines in C. Implements the IAPWS-IF97 steam tables from the International Association for the Properties of Water and Steam. Includes two-way property solvers and test suite. Can be used from C/C++, Fortran, Python, LabVIEW, Octave and ASCEND.
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QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
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Salstat2
statistical package designed for the end user, multiplatform
Salstat2 is an statistical package written in python and designed for the end user It has a graphical user interface and also it is scriptable, It's multiplatform, It has a graphic system inherited from matplotlib, It allows you to use different libraries like numpy - for numerical calculations, it also lets you to interact with Microsoft Excel (R) by using a com client under windows(R) platform and finally you can create your own dialogs by using the interactive shell or the script panel. -
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Protospacer
Rapid gRNA design and validation for CRISPR
Sign up to our mailing list at http://www.protospacer.com/contact.html. Protospacer allows researchers to build, analyze, and share their own database of CRISPR target-sites. This enables the development of custom libraries and helps to transfer the CRISPR technology to new organisms. Each Protospacer database is a simple catalogue of all possible Cas9 target-sites within a given FASTA sequence, i.e. all NGG/NAG sites. Protospacer then allows the user to sub-select targets from the... -
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wt210tocsv
Converts Yokogawa WT210 output to easily chartable CSV format
The Yokogawa WT210 outputs a CSV file through its GPIB-USB interface. The CSV is not easily chartable in Excel/Libreoffice. This will parse the CSV in a way that makes it more easily charted. -
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Command-line tool to calculate error propagation. Generates the error formulas and applies them to the data.
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