remove 3.9 from tox

README.md

@@ -1,6 +1,7 @@
 # ESPNN - Electronic Stopping Power Neural Network
 
- [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![develstat](https://github.com/ale-mendez/ESPNN/actions/workflows/espnn_ci.yml/badge.svg)](https://github.com/ale-mendez/ESPNN/actions/workflows/espnn_ci.yml/badge.svg) [![codecov](https://codecov.io/gh/ale-mendez/ESPNN/branch/master/graph/badge.svg?token=R49KN0O0I1)](https://codecov.io/gh/ale-mendez/ESPNN) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1UCDj0XT_4Ex_Mvp1vurleeeDVcjed6vP)
+ [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![develstat](https://github.com/ale-mendez/ESPNN/actions/workflows/espnn_ci.yml/badge.svg)](https://github.com/ale-mendez/ESPNN/actions/workflows/espnn_ci.yml/badge.svg) [![codecov](https://codecov.io/gh/ale-mendez/ESPNN/branch/master/graph/badge.svg?token=R49KN0O0I1)](https://codecov.io/gh/ale-mendez/ESPNN) [![Binder](https://mybinder.org/badge_logo.svg)](https://hub.ovh2.mybinder.org/user/ale-mendez-espnn-tiiyobkb/doc/tree/workflow/prediction.ipynb)
+ <!-- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1UCDj0XT_4Ex_Mvp1vurleeeDVcjed6vP) -->
  <!-- [![Research software impact](http://depsy.org/api/package/pypi/)](http://depsy.org/package/python/) -->
 
 The ESPNN is a python-based deep neural network that allows the user to predict the electronic stopping power cross-section for any ion and target[^1] combinations for a wide range of incident energies. The deep neural network was trained on tens of thousands of curated data points from the [IAEA database](https://www-nds.iaea.org/stopping/). See more details of the ESPNN in this [publication](https://github.com/ale-mendez/ESPNN-doc).
@@ -23,19 +24,19 @@ If you have problems installing the package or notice troubling features in the
 
 ## Run ESPNN online
 
-The ESPNN package can be used remotely in the <a href="https://colab.research.google.com/drive/1UCDj0XT_4Ex_Mvp1vurleeeDVcjed6vP" target="_blank">Google Colab</a> platform[^3]. There, you'll find a jupyter notebook with a quick tutorial on how to use the ESPNN. You can also make a copy of the notebook to your own personal Drive and compute the stopping power of any projectile-target combination.
+The ESPNN package can be used remotely in the <a href="https://hub.ovh2.mybinder.org/user/ale-mendez-espnn-tiiyobkb/doc/tree/workflow/prediction.ipynb" target="_blank">Binder</a> platform. There, you'll find a Jupyter notebook with a quick tutorial on how to use the ESPNN. You can also make a copy of the notebook to your own personal Drive and compute the stopping power of any projectile-target combination.
 
 ## Install ESPNN
 
-To use the ESPNN in your computer, first you'll need to install it. We recommend using a python virtual environment to this end (for example, see <a href="https://docs.anaconda.com/anaconda/install/index.html" target="_blank">anaconda</a> or <a href="https://virtualenv.pypa.io/en/stable/installation.html" target="_blank">virtualenv</a>). If you are not familiar with virtual environments and would like to rapidly start using python, follow the <a href="https://docs.anaconda.com/anaconda/install/index.html" target="_blank">anaconda</a> indications according to your operating system:
+To use the ESPNN in your computer, first you'll need to install it. ESPNN is currently restricted to python 3.7 and 3.8. We recommend using a python virtual environment to this end (for example, see <a href="https://docs.anaconda.com/anaconda/install/index.html" target="_blank">anaconda</a> or <a href="https://virtualenv.pypa.io/en/stable/installation.html" target="_blank">virtualenv</a>). If you are not familiar with virtual environments and would like to rapidly start using python, follow the <a href="https://docs.anaconda.com/anaconda/install/index.html" target="_blank">anaconda</a> indications according to your operating system:
 
 - <a href="https://docs.anaconda.com/anaconda/install/linux/" target="_blank">Install anaconda in Linux</a>
 - <a href="https://docs.anaconda.com/anaconda/install/windows/" target="_blank">Install anaconda in Windows</a>
 - <a href="https://docs.anaconda.com/anaconda/install/mac-os/" target="_blank">Install anaconda in macOS</a>
 
 ### Using pip
 
-The simplest way to install the ESPNN is via pip. Indistinctively, Ubuntu, Windows and macOS users can install the package by typing in the terminal or the anaconda bash terminal:
+The simplest way to install the ESPNN is via pip. Indistinctly, Ubuntu, Windows and macOS users can install the package by typing in the terminal or the anaconda bash terminal:
 
 ```console
 pip install ESPNN
@@ -120,5 +121,4 @@ python -m ESPNN -h
 The following institutions financially support this work: the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) by the PIP-11220200102421CO and the Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT) of Argentina PICT-2020-SERIEA-01931. CCM also acknowledges the financial support of the IAEA.
 
 [^1]: *ESPNN first release considers only mono-atomic targets.*
-[^2]: felipebihaiek@gmail.com, alemdz.7@gmail.com
-[^3]: *A Google account is required.*
+[^2]: felipebihaiek@gmail.com, alemdz.7@gmail.com

setup.py

@@ -10,13 +10,13 @@
 PATH = pathlib.Path(os.path.abspath(os.path.dirname(__file__)))
 
 REQUIREMENTS = [
-    "matplotlib==3.5.2",
+    "matplotlib>=3.5.2",
     "numpy>=1.21.6",
-    "pandas==1.3.5",
-    "pyvalem==2.5.7",
-    "torch==1.11.0",
-    "scikit-learn==0.24.2",
-    "joblib==1.0.0",
+    "pandas>=1.3.5",
+    "pyvalem>=2.5.7",
+    "torch>=1.11.0",
+    "scikit-learn>=0.24.2",
+    "joblib>=1.0.0",
 ]
 
 with open(PATH / "ESPNN" / "__init__.py") as fp:

tox.ini

@@ -2,7 +2,7 @@
 envlist =
     py37,
     py38,
-    py39,
+    ; py39,
     style,
     coverage,
     check-manifest
@@ -11,7 +11,7 @@ envlist =
 python =
     3.7: py37
     3.8: py38
-    3.9: py39
+    ; 3.9: py39
 
 [py37]
 basepython = py37
@@ -23,10 +23,10 @@ basepython = py38
 commands =
     python setup.py sdist
 
-[py39]
-basepython = py39
-commands =
-    python setup.py sdist
+; [py39]
+; basepython = py39
+; commands =
+;     python setup.py sdist
 
 [testenv]
 deps =