ANU Inversion Course Package

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Project description

ANU Inversion Course Package

This package contains resources to be used in the inversion course practicals.

Installation

(optional) It's recommended to use a virtual environment (using conda or venv, etc.) so that it doesn't conflict with your other Python projects.

Type the following in your terminal:

pip install anu-inversion-course

And when you run jupyter-lab to do the practicals, make sure you are in the same environment as where your anu-inversion-course was installed. You can try to test this by checking if the following commands give you similar result:

$ which pip
<some-path>/bin/pip
$ which jupyter-lab
<same-path>/bin/jupyter-lab
$ pip list | grep anu-inversion-course
anu-inversion-course               0.1.0

Project details

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

0.1.1

Feb 16, 2024

0.1.0.dev14 pre-release

Jul 21, 2022

0.1.0.dev13 pre-release

Jul 21, 2022

0.1.0.dev12 pre-release

Jul 19, 2022

0.1.0.dev11 pre-release

Jul 18, 2022

0.1.0.dev10 pre-release

May 20, 2022

0.1.0.dev9 pre-release

May 19, 2022

0.1.0.dev8 pre-release

May 19, 2022

0.1.0.dev7 pre-release

Mar 9, 2022

0.1.0.dev6 pre-release

Mar 9, 2022

0.1.0.dev5 pre-release

Mar 9, 2022

0.1.0.dev4 pre-release

Feb 25, 2022

This version

0.1.0.dev3 pre-release

Feb 25, 2022

0.1.0.dev2 pre-release

Feb 23, 2022

0.1.0.dev1 pre-release

Feb 23, 2022

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Uploaded Feb 25, 2022 CPython 3.9 manylinux: glibc 2.17+ x86-64

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Uploaded Feb 25, 2022 CPython 3.8 macOS 10.9+ x86-64

ANU_inversion_course-0.1.0.dev3-cp38-cp38-macosx_10_9_universal2.whl (410.9 kB view hashes)

Uploaded Feb 25, 2022 CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

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