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Coding Python

Curation of Python — listings under the Coding tab.

Summary Table

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NAME URL DESCRIPTION
BioNumPy https://bionumpy.github.io/bionumpy/ Biological data as NumPy-like arrays (see preprint in repo notes).
Biopython https://biopython.org/ Tools for biological computation in Python.
Keras https://keras.io/ High-level neural network API.
Matplotlib https://matplotlib.org/ Plotting library.
NumPy https://numpy.org/ Numerical arrays and routines.
Plotly (Python) https://plotly.com/python/ Interactive charts.
PyTorch https://pytorch.org/ Deep learning framework.
Python packaging tutorial https://packaging.python.org/en/latest/tutorials/pack… How to package and publish Python projects.
SciPy https://scipy.org/ Scientific computing ecosystem for Python.
Seaborn https://seaborn.pydata.org/ Statistical data visualization.
TensorFlow https://www.tensorflow.org/ End-to-end ML platform.
pandas https://pandas.pydata.org/ Data analysis and manipulation.
pyensembl https://github.com/openvax/pyensembl Python interface to Ensembl references.
pyliftover https://github.com/konstantint/pyliftover Genomic coordinate liftover.
pysam https://github.com/pysam-developers/pysam SAM/BAM/VCF interface for Python.
scikit-allel https://scikit-allel.readthedocs.io/en/stable/ Large-scale genetic variation data utilities.
scikit-learn https://scikit-learn.org/ Machine learning in Python.
statannotations https://github.com/trevismd/statannotations Statistical annotations on matplotlib plots.
statsmodels https://www.statsmodels.org/stable/index.html Statistical models and tests.

SciPy

Coding
DESCRIPTION
Scientific computing ecosystem for Python.
URL
https://scipy.org/