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    Introduction to Python for Data Science Course
    Free Introduction to Python for Data Science Course at DataCamp
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    Get Started With GIS in Open Source Python Workshop
    There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...
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    DataCamp
    DataCamp: The Easiest Way to Learn Data Science Online
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    Introduction to Earth Data Science Textbook
    Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...
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    MiniWorkshop Follow-Up October 2, 2020
    A follow up to our mini workshop of August 14, 2020. Further information about the python pipeline for HGT and the new cytoscape lesson.
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    Earth Analytics in Python Course
    Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
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    Earth Analytics Bootcamp Course
    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...
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    Mini-Workshop August 14, 2020
    We reviewed the materials available on Genome Solver (other lessons here) and described our new python pipeline for examining horizontal gene transfer and a new synteny lesson in detail.
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    Introduction to Version Control and Git Workshop
    Learn how to use version control with Git to work collaboratively and back up your work.
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    Coding Club: A Positive Peer-Learning Community
    Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh
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    Passion-Driven Statistics
    E-book in .pdf format and customizable .iba format

    Keywords: statisticstextbook

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    Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
    In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear...
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