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Tags: python

All Categories (1-19 of 19)

  1. Coding Club: A Positive Peer-Learning Community

    22 Apr 2020 | Teaching Materials | Contributor(s):

    By Gergana Daskalova1, Sandra Angers-Blondin1, John Godlee1, Izzy Rich1, Beverly Tan1, Declan Valters1, Haydn Thomas1, Pedro Miranda1, Gabriela Hajduk1, Kat Keogan1, Isla Myers-Smith1, Kyle Dexter1, Christina Coakley1

    University of Edinburgh

    Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh

    https://qubeshub.org/qubesresources/publications/1816/?v=1

  2. DataCamp

    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...

  3. DataCamp

    05 Nov 2018 | Teaching Materials

    DataCamp: The Easiest Way to Learn Data Science Online

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

  4. 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

  5. Earth Analytics in Python Course

    01 Nov 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser1, Jenny Palomino1, Chris Holdgraf2

    1. Earth Lab - University of Colorado, Boulder 2. 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

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

    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...

  7. Geraldine Klarenberg

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

  8. 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

  9. 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

  10. 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

  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. 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

  13. Jessica Kleiss

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

  14. Madeleine Bonsma-Fisher

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

  15. Mason Roarke Tollar

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

  16. PyLadies

    Collections | 08 Nov 2018 | Posted by Alycia Crall

    https://qubeshub.org/community/groups/edsin/collections/organizations-and-initiatives

  17. Sateesh Peri

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

  18. Widodo Samyono

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

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

  19. 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