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Setting Up Your Python Environment, Easily

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Introduction to Python in Earth Science Data Analysis

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Abstract

This chapter introduces the Python programming language to geologists. To do so, it first describes the main features of Python, and subsequently defines the programming paradigms supported in Python. Finally, it provides a step-by-step guide to prepare a Python environment for scientific computing.

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Notes

  1. 1.

    https://www.python.org.

  2. 2.

    https://www.anaconda.com.

  3. 3.

    https://www.anaconda.com/products/individual/.

  4. 4.

    https://docs.conda.io/.

  5. 5.

    https://www.spyder-ide.org.

  6. 6.

    https://repl.it.

  7. 7.

    https://www.pythonanywhere.com.

  8. 8.

    https://numpy.org.

  9. 9.

    https://pandas.pydata.org.

  10. 10.

    https://scipy.org.

  11. 11.

    https://matplotlib.org.

  12. 12.

    https://www.sympy.org.

  13. 13.

    https://scikit-learn.org.

  14. 14.

    https://github.com/petrelli-m/python_earth_science_book.

Author information

Authors and Affiliations

  1. Department of Physics and Geology, University of Perugia, Perugia, Italy

    Maurizio Petrelli

Authors
  1. Maurizio Petrelli
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Corresponding author

Correspondence to Maurizio Petrelli .

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this chapter

Petrelli, M. (2021). Setting Up Your Python Environment, Easily. In: Introduction to Python in Earth Science Data Analysis. Springer Textbooks in Earth Sciences, Geography and Environment. Springer, Cham. https://doi.org/10.1007/978-3-030-78055-5_1

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