Updated installation instructions, bumped version in other places.

docs-source/source/setup.rst

@@ -4,8 +4,8 @@ Installation
 Installing the :code:`hmc_tomography` package is dead-simple. It requires you to have 
 Python 3.7 on your system. Virtual environments and :code:`Conda` are also fine. 
 
-Installing the package in a new Conda environment
-*************************************************
+Installing the package (in a new Conda environment)
+***************************************************
 
 Activate your environment of choice. To create e.g. a new :code:`Conda` environment with the
 appropriate Python version, run the following from your terminal:
@@ -24,6 +24,11 @@ There's at the moment two options to install the package:
 
 1. Install the code directly from GitHub;
 2. Clone the GitHub repo and install from that directory.
+3. Download the :code:`.zip` file of the repo, unzip, and install from that directory.
+
+
+Option one
+^^^^^^^^^^
 
 Option one simply requires you to run the following command from your shell (with the
 appropriate environment activated):
@@ -32,6 +37,17 @@ appropriate environment activated):
     
     > $ pip install -e [email protected]:larsgeb/hmc-tomography.git@master#egg=hmc_tomography
 
+This won't work as long as the GitHub repo is private. If you've set up SSH keys with 
+your GitHub account, and we've granted you access, you can run the following command 
+instead:
+
+.. code-block:: bash    
+
+    > $ pip install -e git+ssh://[email protected]/larsgeb/hmc-tomography.git#egg=hmc_tomography
+
+Option two
+^^^^^^^^^^
+
 Option two requires you to run the following commands (with the appropriate environment
 activated):
 
@@ -41,6 +57,17 @@ activated):
     > $ cd hmc-tomography
     > $ pip install -e .
 
+Option three
+^^^^^^^^^^^^
+
+Option three requires you to decompress the :code:`.zip` file and go open a terminal in 
+the resulting folder (such that you see the files :code:`setup.py`, :code:`README.md`, 
+etc. Once you have activated the proper environment in your shell, run the following:
+
+.. code-block:: bash    
+    
+    > $ pip install -e .
+
 If the command succeeds, you now have access to the package from your Python 3.7 
 distribution by importing :code:`hmc_tomography`:
 

hmc_tomography/__init__.py

@@ -1,5 +1,5 @@
 """HMC Tomography module.
-Copyright 2019 Andrea Zunino, Andreas Fichtner, Lars Gebraad
+Copyright 2019-2020 Andrea Zunino, Andreas Fichtner, Lars Gebraad
 """
 from hmc_tomography import (
     MassMatrices,

setup.py

@@ -5,7 +5,7 @@
 
 setuptools.setup(
     name="hmc-tomography",
-    version="0.1.0",
+    version="0.2.1",
     author="Lars Gebraad, Andreas Fichtner, Andrea Zunino",
     author_email="[email protected]",
     description="An example HMC tomography package",
@@ -15,11 +15,11 @@
     packages=setuptools.find_packages(),
     classifiers=[
         "Development Status :: 3 - Alpha",
-        "Programming Language :: Python :: 3.6",
+        "Programming Language :: Python :: 3.7",
         "License :: OSI Approved :: BSD License",
         "Operating System :: OS Independent",
     ],
-    python_requires=">=3.6",
+    python_requires=">=3.7",
     install_requires=[
         "numpy",
         "scipy",
@@ -29,6 +29,8 @@
         "h5py",
         "pyyaml",
     ],
-    extras_require={"dev": ["black", "pre-commit", "sphinx", "numpydoc", "codecov", "pytest"]},
+    extras_require={
+        "dev": ["black", "pre-commit", "sphinx", "numpydoc", "codecov", "pytest"]
+    },
     entry_points={"console_scripts": ["hmc_tomography=hmc_tomography.__main__:cli"]},
 )