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science skills

10 skills. Every one is readable here; downloads and live use need a subscription.

astropy

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

biopython

Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks.

cirq

Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators.

matplotlib

Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots.

networkx

NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.

qiskit

Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers.

scanpy

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis.

seaborn

Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.

statsmodels

Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods.

sympy

SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.