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__ Bonus - Selected packages |
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{: .no_toc } Below, you will find a collection of Python packages that might be useful to your journey into advanced python programming and data analysis. This list is not exhaustive but it should cover a good ground!
Table of contents
{: .text-delta } - TOC {:toc}| Package Name | Description | Link |
|---|---|---|
| Matplotlib | Comprehensive data visualization library with a low-level and high-level interface for creating 2D plots and charts | https://matplotlib.org/ |
| Seaborn | High-level data visualization library built on top of Matplotlib for creating more complex and aesthetic visualizations | https://seaborn.pydata.org/ |
| Plotly | Interactive data visualization library with support for creating complex visualizations such as heatmaps, contour plots, and 3D scatterplots | https://plotly.com/python/ |
| Bokeh | Interactive data visualization library with support for creating dashboards and interactive visualizations in web browsers | https://bokeh.org/ |
| Altair | Declarative data visualization library with a simple syntax for creating interactive visualizations using Vega-Lite JSON specification | https://altair-viz.github.io/ |
| ggplot | Python port of R's ggplot2, a grammar of graphics data visualization library | https://pypi.org/project/ggplot/ |
| Package Name | Description | Link |
|---|---|---|
| NumPy | Library for working with arrays and matrices, often used for numerical computing | https://numpy.org/ |
| Pandas | Library for data manipulation and analysis, often used for working with structured data | https://pandas.pydata.org/ |
| SciPy | Library for scientific computing, often used for solving complex mathematical problems | https://www.scipy.org/ |
| Statsmodels | Library for statistical modeling and data analysis, often used for fitting regression models and time series analysis | https://www.statsmodels.org/stable/index.html |
| Scikit-learn | Library for machine learning, often used for classification, regression, and clustering | https://scikit-learn.org/ |
| NLTK | Library for natural language processing, often used for text analysis and processing | https://www.nltk.org/ |
| Gensim | Library for topic modeling and document similarity analysis | https://radimrehurek.com/gensim/ |
| PyCaret | Low-code machine learning library for training and deploying models | https://pycaret.org/ |
| Package Name | Description | Link |
|---|---|---|
| Biopython | Library for working with biological data, including DNA, RNA, and protein sequences | https://biopython.org/ |
| Scikit-bio | Library for bioinformatics, including sequence alignment, phylogenetics, and microbiome analysis | https://scikit-bio.org/ |
| NetworkX | Library for working with complex networks, often used for analyzing biological pathways and interactions | https://networkx.github.io/ |
| PyMOL | Molecular visualization system for structural biology | https://pymol.org/ |
| RDKit | Collection of cheminformatics and machine learning tools for working with molecular data | https://www.rdkit.org/ |
| OpenCV | Library for computer vision, often used for analyzing medical images such as X-rays and MRI scans | https://opencv.org/ |
| Package Name | Description | Link |
|---|---|---|
| Flake8 | Tool for checking PEP8 compliance and detecting code smells and errors | https://flake8.pycqa.org/ |
| Pylint | Tool for checking Python code against coding standards and detecting programming errors | https://www.pylint.org/ |
| Black | Opinionated code formatter that enforces a consistent style | https://black.readthedocs.io/en/stable/ |
| mypy | Static type checker for Python code | https://mypy.readthedocs.io/en/stable/index.html |
| Bandit | Tool for finding security issues in Python code | https://bandit.readthedocs.io/en/stable/ |
| Pytest | Testing framework for Python code, often used for unit testing and integration testing | https://docs.pytest.org/en/stable/ |