PyFunctional
abcd-hcp-pipeline
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PyFunctional | abcd-hcp-pipeline | |
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4 | 1 | |
2,332 | 44 | |
- | - | |
5.6 | 6.0 | |
about 2 months ago | 9 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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PyFunctional
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Python: Uncovering the Overlooked Core Functionalities
If you actually think this code is better there's a real library that does this: https://github.com/EntilZha/PyFunctional.
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Kotlin/Java/Javascript/Scala users do you miss the ability to chain functional operators in Python?
I often endup using [pyfunctional](https://github.com/EntilZha/PyFunctional) which gives the ability of using chained functional operators, but I am still kind of sad this is not a builtin solution in Python (please note I am not involved in the pyfunctional project and I do not know the author)
- PyFunctional makes creating data pipelines easy by using chained functional operators
- The pipe-operator to python |>
abcd-hcp-pipeline
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Siemens output from ABCD T1 and T2 sequences.
Who provided the sequence? They're usually the point of contact for this kind of question. Alternatively, you can bug one of the processing groups for ABCD (link, and they might point you in the right direction. A shot of getting one of the ABCD or ABIDE/HCP sequence designers to see this on reddit is unlikley, but good luck.
What are some alternatives?
awesome-functional-python - A curated list of awesome things related to functional programming in Python.
mara-pipelines - A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
RxPY - ReactiveX for Python
papermill - 📚 Parameterize, execute, and analyze notebooks
modin - Modin: Scale your Pandas workflows by changing a single line of code
fmriprep - fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
alkymi - Pythonic task automation
pdpipe - Easy pipelines for pandas DataFrames.
lisa - Linux Integrated System Analysis
skull-stripping-3D-brain-mri - Apply Skulll Stripping to any 3D Brain MRI images