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Data Science Libraries Within Python
Numpy: A library that can be used for array operations and data computing.
Pandas: A library that allows for the manipulation of data structures with dataframes and clean data presentation.
Matplotlib: A library that offers multiple data visualization options.
Seaborn: A library based on Matplotlib that allows for visualizing statistical models in the medium of say a heatmap.
BeautifulSoup: A library that can be used for web crawling and data scraping.
SciPy: SciPy is an open source Python scientific computing library, which covers various tools in scientific computing, including statistics, integration, interpolation, optimization, image processing and so on.
StatsModels: A library provides many statistical models for statistical testing, exploration and visualization of statistical data.
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Python Programming Language
Data Science with Python
Data Science