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  1. Earth Analytics in Python Course

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser, Jenny Palomino, Chris Holdgraf1

    University of California - Berkeley

    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...

    https://qubeshub.org/qubesresources/publications/1437/?v=1

  2. Get Started With GIS in Open Source Python Workshop

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser1, Jenny Palomino1, Joe McGlinchy1

    Earth Lab - University of Colorado, Boulder

    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...

    https://qubeshub.org/qubesresources/publications/1441/?v=1

  3. Introduction to Version Control and Git Workshop

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser, Max Joseph

    Learn how to use version control with Git to work collaboratively and back up your work.

    https://qubeshub.org/qubesresources/publications/1443/?v=1

  4. Introduction to Earth Data Science Textbook

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Jenny Palomino, Leah Wasser

    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...

    https://qubeshub.org/qubesresources/publications/1440/?v=1

  5. Earth Analytics Bootcamp Course

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Jenny Palomino1, Leah Wasser

    Earth Lab - University of Colorado, Boulder

    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...

    https://qubeshub.org/qubesresources/publications/1438/?v=1

  6. Jessica Kleiss

    https://qubeshub.org/community/members/12651

  7. Sateesh Peri

    https://qubeshub.org/community/members/12360

  8. Working with spreadsheet-style data in Python with pandas and seaborn

    20 Dec 2018 | Teaching Materials | Contributor(s):

    By Madeleine Bonsma-Fisher

    University of Toronto

    This 4-hour participatory live-coding workshop takes learners through the basics of programming in Python via the Jupyter Lab interface and culminates with exploration and visualization of...

    https://qubeshub.org/qubesresources/publications/971/?v=1

  9. PyLadies

    Collections | 08 Nov 2018 | Posted by Alycia Crall

    https://qubeshub.org/community/groups/edsin/collections/initiatives

  10. Geraldine Klarenberg

    https://qubeshub.org/community/members/9762

  11. Introduction to Python for Data Science Course

    05 Nov 2018 | Teaching Materials

    Free Introduction to Python for Data Science Course at DataCamp

    https://qubeshub.org/qubesresources/publications/915/?v=1

  12. DataCamp

    05 Nov 2018 | Teaching Materials

    DataCamp: The Easiest Way to Learn Data Science Online

    https://qubeshub.org/qubesresources/publications/913/?v=1

  13. Madeleine Bonsma-Fisher

    https://qubeshub.org/community/members/8225

  14. Widodo Samyono

    BS in Pure MathMS in Applied MathematicsPhD in Computational and Applied Mathematics

    https://qubeshub.org/community/members/7017

  15. Mason Roarke Tollar

    https://qubeshub.org/community/members/6665

  16. Free Introduction to Python for Data Science Course at DataCamp

    out of 5 stars 

    06 Nov 2016 | | Contributor(s):: Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/915Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from...

  17. DataCamp

    out of 5 stars 

    06 Nov 2016 | | Contributor(s):: Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...

  18. Hong Qin

    My goal is to promote computing in undergraduate education and research training. I hope to help other faculty develop coding exercises in R or Python for teaching, and using computing to...

    https://qubeshub.org/community/members/1589

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