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๐Ÿ”ฌ Biology and Chemistry

Biopython

  • Description: A set of tools for biological computation.

  • Use Case: Used in biological computation including sequence analysis, 3D structure, and bioinformatics.

  • GitHub Repository: Biopython GitHub

ChemPy

  • Description: A Python package useful for solving problems in chemistry.

  • Use Case: Chemical kinetics, equilibrium, and thermodynamics calculations, and symbolically solving rate equations.

  • Documentation: ChemPy Documentation

  • GitHub Repository: ChemPy GitHub

Matplotlib

  • Description: A plotting library for creating static, animated, and interactive visualizations.

  • Use Case: Generating plots and charts for visualizing biological and chemical data.

  • GitHub Repository: Matplotlib GitHub

MDTraj

  • Description: A python library for analysis of molecular dynamics trajectories.

  • Use Case: Analyzing, visualizing, and computing on molecular dynamics trajectories in computational biology.

  • Documentation: MDTraj Documentation

  • GitHub Repository: MDTraj GitHub

NetworkX

  • Description: A package for the creation, manipulation, and study of complex networks.

  • Use Case: Analyzing biological networks and pathways, and chemical compound structures.

  • Documentation: NetworkX Documentation

  • GitHub Repository: NetworkX GitHub

NumPy

  • Description: Fundamental package for scientific computing.

  • Use Case: Handling numerical data and performing calculations for biological and chemical analysis.

  • Documentation: NumPy Documentation

  • GitHub Repository: NumPy GitHub

Open Babel

  • Description: A chemical toolbox designed to speak the many languages of chemical data.

  • Use Case: Interconverting file formats, molecular modeling, geometry optimization, and other chemical informatics tasks.

  • GitHub Repository: Open Babel GitHub

Pandas

  • Description: Data analysis and manipulation library.

  • Use Case: Organizing and analyzing biological and chemical data, such as experimental results or genomic data sets.

  • Documentation: Pandas Documentation

  • GitHub Repository: Pandas GitHub

PyMOL

  • Description: A Python-enhanced molecular graphics tool.

  • Use Case: Visualization of molecular structures, creation of publication-quality images, and animations of chemical processes.

  • Documentation: PyMOL Documentation

  • GitHub Repository: PyMOL GitHub

RDKit

  • Description: An open-source cheminformatics software.

  • Use Case: Cheminformatics, molecular modeling, and chemical structure analysis.

  • Documentation: RDKit Documentation

  • GitHub Repository: RDKit GitHub

SciPy

  • Description: An open-source Python library used for scientific and technical computing.

  • Use Case: Technical computations and simulations in biological and chemical research.

  • Documentation: SciPy Documentation

  • GitHub Repository: SciPy GitHub

Seaborn

  • Description: A statistical data visualization library.

  • Use Case: Creating attractive and informative statistical graphics in biological and chemical research.

  • Documentation: Seaborn Documentation

  • GitHub Repository: Seaborn GitHub

SymPy

  • Description: A Python library for symbolic mathematics.

  • Use Case: Solving symbolic equations and expressions in chemistry and molecular biology.

  • Documentation: SymPy Documentation

  • GitHub Repository: SymPy GitHub

TensorFlow

  • Description: An open-source software library for machine learning applications.

  • Use Case: Machine learning applications in bioinformatics, such as gene sequence analysis and predictive modeling in chemistry.

  • GitHub Repository: TensorFlow GitHub

Vega

  • Description: A visualization grammar for creating, saving, and sharing interactive visualization designs.

  • Use Case: Advanced data visualization in biology and chemistry, especially for complex datasets.

  • Documentation: Vega Documentation

  • GitHub Repository: Vega GitHub

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