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Learn more using this Biopython tutorial.

biopython is a package that allows easier manipulation of genetic and genomic data.pandas is also used in fredhutch.io’s Intro to Python class. More information is available in this introduction. pandas is the Python Data Analysis Library, which includes capabilities for parsing, manipulating, and summarizing spreadsheet-style data as data frames.These packages are also used in fredhutch.io’s Intermediate Python: Programming class. More information is available on the Scipy site. numpy and scipy are complementary packages including many functions relevant for scientific computing.The following packages are commonly used by our research community: Packages (sometimes also referred to as libraries)Īre collections of related functions created and You may find the following resources useful as you get started learning Python:Ĭommon Python packages for scientific research computing See our page on Training and Finding Helpįor additional information on Hutch support for Python learning and code sharing. Though instructor-led courses are also periodically available through Hutch Learning. These materials are publicly available for work-at-your-own pace learning at any time, Including checkpointing on Gizmo, logging in Python, running tensorflow, and more! Learning Pythonįredhutch.io offers introductory Python class material designed specifically for new coders in our research community, Please also see our Resource Library for tutorials on a variety of Python topics, Please see our Software Development Standards page. Including templates for data analysis and packages in Python,

Here we share information on learning Python,Īccessing python either locally or via remote computing at Fred Hutch,Īnd overviews of a few common software options for running and writing Python code.įor more information on coding best practices, Whether you’re new to Python or are an experienced Python coder interested in how members of the Coop community works with this language, Common Python packages for scientific research computing.Updated: Edit this Page via GitHub Comment by Filing an Issue Have Questions? Ask them here.