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ANU-inversion-course-0.1.0.dev9
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ANU Inversion Course Package
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | ANU-inversion-course-0.1.0.dev9 |
| نام | ANU-inversion-course |
| نسخه کتابخانه | 0.1.0.dev9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | InLab |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/ANU-inversion-course/ |
| مجوز | - |
# ANU Inversion Course Package
[](https://github.com/anu-ilab/ANUInversionCourse/actions/workflows/build_wheels.yml)
[](https://badge.fury.io/py/ANU-inversion-course)
This package contains resources to be used in the [inversion course practicals](https://github.com/anu-ilab/JupyterPracticals).
## Table of contents
- [Getting started](README.md#getting-started)
- [Pre-requisites](README.md#1-pre-requisites)
- [Set up a virtual environment (optional)](README.md#2-set-up-a-virtual-environment-optional)
- [Installation](README.md#3-installation)
- [Check](README.md#4-check)
- [Troubleshooting](README.md#troubleshooting)
- [Developer notes](README.md#developer-notes)
## Getting started
### 1. Pre-requisites
Before installing the `ANU-inversion-course` package, make sure you have the following ready:
- A computer
- OS-specific dependencies
- For *Linux* users: ensure your `apt` / `dnf` / `pacman` works
- For *MacOS* users:
1. download `XCode` from "App Store" (you'll need to create an Apple account if not already)
2. install command line tools by typing this in the "Terminal": `xcode-select --install`
- For *Windows* users: install [Cygwin](https://www.cygwin.com/), and remember to use it for the following dependencies
- [Python](https://www.python.org/downloads/) >= 3.6
- [gfortran](https://fortran-lang.org/learn/os_setup/install_gfortran)
### 2. Set up a virtual environment (optional)
It's recommended to use a virtual environment (e.g. [`venv`](https://docs.python.org/3/library/venv.html), [`virtualenv`](https://virtualenv.pypa.io/en/latest/), [`mamba`](https://mamba.readthedocs.io/en/latest/) or [`conda`](https://docs.conda.io/en/latest/)) so that it doesn't conflict with your other Python projects.
Open a terminal (or a Cygwin shell for Windows users) and refer to the cheat sheet below for how to create, activate, exit and remove a virtual environment.
<details>
<summary>venv</summary>
Ensure you have *python >= 3.6*.
Use the first two lines below to create and activate the new virtual environment. The other lines are for your
future reference.
```console
$ python -m venv <path-to-new-env>/inversion_course # to create
$ source <path-to-new-env>/inversion_course/bin/activate # to activate
$ deactivate # to exit
$ rm -rf <path-to-new-env>/inversion_course # to remove
```
</details>
<details>
<summary>virtualenv</summary>
Use the first two lines below to create and activate the new virtual environment. The other lines are for your
future reference.
```console
$ virtualenv <path-to-new-env>/inversion_course -p=3.10 # to create
$ source <path-to-new-env>/inversion_course/bin/activate # to activate
$ deactivate # to exit
$ rm -rf <path-to-new-env>/inversion_course # to remove
```
</details>
<details>
<summary>mamba</summary>
Use the first two lines below to create and activate the new virtual environment. The other lines are for your
future reference.
```console
$ mamba create -n inversion_course python=3.10 # to create
$ mamba activate inversion_course # to activate
$ mamba deactivate # to exit
$ mamba env remove -n inversion_course # to remove
```
</details>
<details>
<summary>conda</summary>
Use the first two lines below to create and activate the new virtual environment. The other lines are for your
future reference.
```console
$ conda create -n inversion_course python=3.10 # to create
$ conda activate inversion_course # to activate
$ conda deactivate # to exit
$ conda env remove -n inversion_course # to remove
```
</details>
### 3. Installation
Type the following in your terminal (or Cygwin shell for Windows users):
```console
$ pip install jupyterlab anu-inversion-course
```
### 4. Check
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:
```console
$ 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
```
## Troubleshooting
If you find problems *importing* `anu_inversion_course.rf`, try to search the error message you get. [Here](https://stackoverflow.com/questions/58793399/importerror-library-not-loaded-for-f2py) contains a nice explanation for the possible cause. And here is how to locate `libgfortran`:
```console
gfortran --print-file-name libgfortran.5.dylib
```
## Developer Notes
Check out [NOTES.md](NOTES.md) if you'd like to contribute to this package.
1. [Getting started](NOTES.md#getting-started)
2. [Cheatsheet](NOTES.md#cheatsheet)
1. [conda environment](NOTES.md#conda-environment)
2. [git operations](NOTES.md#git-operations)
3. [package development](NOTES.md#package-development)
4. [package metadata](NOTES.md#package-metadata)
5. [package building test & release](NOTES.md#package-building-test--release)
3. [Adding C/C++ extensions](NOTES.md#adding-cc-extensions)
4. [Adding Fortran extensions](NOTES.md#adding-fortran-extensions)
5. [More references](NOTES.md#more-references)
6. [Appendix - semantic versioning](NOTES.md#appendix-i---sementic-versioning)
7. [Additional Notes about gfortran](NOTES.md#additional-notes-about-gfortran)
نیازمندی
| مقدار | نام |
|---|---|
| >=1.18 | numpy |
| >=1.0.0 | scipy |
| >=4.62.0 | tqdm |
| >=0.11.0 | seaborn |
| - | corner |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl ANU-inversion-course-0.1.0.dev9:
pip install ANU-inversion-course-0.1.0.dev9.whl
نصب پکیج tar.gz ANU-inversion-course-0.1.0.dev9:
pip install ANU-inversion-course-0.1.0.dev9.tar.gz