update installation instructions

README.md

@@ -1,8 +1,8 @@
 # Jupylet
 
-*Jupylet* is a Python library that lets you create 2D and 3D games, graphics,
-music and sound synthesizers, interactively in a Jupyter notebook. It is 
-intended for three types of audiences:
+*Jupylet* is a Python library for programming 2D and 3D games, graphics, music 
+and sound synthesizers, interactively in a Jupyter notebook. It is intended 
+for three types of audiences:
 
 * Computer scientists, researchers, and students of deep reinforcement learning.
 * Musicians interested in sound synthesis and live music coding.
@@ -63,22 +63,22 @@ chapters in the Jupylet Programmer's Reference Guide.
 
 ## Requirements
 
-_jupylet_ should run on Python 3.6+ on Windows, Mac, and Linux.
+_jupylet_ should run on Python 3.6, 3.7, or 3.8 on Windows, Mac, and Linux.
 
 ## How to Install and Run Jupylet
 
 If you are new to Python, I recommend that you install and use the
 [Miniconda Python](https://docs.conda.io/en/latest/miniconda.html)
-distribution. Download and run the 64-bit installer and stick to the default
-install options.
+distribution. 
 
-| `⚠️ NOTE` On Mac OS X follow carefully the Miniconda [installation instructions](https://conda.io/projects/conda/en/latest/user-guide/install/macos.html). |
-| --- |
+On Windows download and run the 64-bit installer for Python 3.8. Once 
+Miniconda is installed press the `⊞ Winkey` and then type *Miniconda* and 
+press the `Enter` key. This should open a small window that programmers call 
+*console* or *shell* in which you can enter commands and run programs.
 
-Once Miniconda is installed start a Miniconda Prompt. To do this on Windows
-click the `⊞ Winkey` then type *Miniconda* and press the
-`Enter` key. This should open a small dark window that programmers
-call *console* or *shell* in which you can enter commands and run programs.
+On Mac OS X download and run "Miniconda3 MacOSX 64-bit pkg" for Python 3.8.
+Once installed click the Spotlight icon `🔍` and in the search field type 
+*terminal* and press the `Enter` key to open the console.
 
 To run *jupylet* first install it by typing the following command in the
 console:
@@ -89,21 +89,14 @@ If you are using Python 3.8 on Windows you also need to run following command:
 
     python -m jupylet postinstall
 
-Next, if you want to run the example notebooks, download the *jupylet* code 
-base. If you have [Git](https://git-scm.com/) installed type the following
-command:
+Next, to run the example notebooks, download the *jupylet* source code. 
+If you have [Git](https://git-scm.com/) installed type the following command:
 
     git clone https://github.com/nir/jupylet.git
 
-Alternatively, you can download and unzip the *jupylet* code base by 
-copying-pasting the following commands into the console:
-
-    python -m wget https://github.com/nir/jupylet/archive/master.zip
-    python -m zipfile -e jupylet-master.zip .
-    move jupylet-master jupylet
+Alternatively, you can download the source code with the following command:
 
-| `⚠️ NOTE` On Mac OS X or Linux type *mv* instead of *move* in the command above. |
-| --- |
+    python -m jupylet download
 
 Next, enter the *jupylet/examples/* directory with the change directory
 command:

docs/programmers_reference_guide/getting_started.rst

@@ -6,16 +6,17 @@ How to Install and Run Jupylet
 
 If you are new to Python, I recommend that you install and use the
 `Miniconda Python <https://docs.conda.io/en/latest/miniconda.html>`_
-distribution. Download and run the 64-bit installer and stick to the default
-install options.
+distribution. 
 
-.. note::
-    On Mac OS X follow carefully the Miniconda `installation instructions <https://conda.io/projects/conda/en/latest/user-guide/install/macos.html>`_.
+On Windows download and run the 64-bit installer for Python 3.8. Once 
+Miniconda is installed press the :guilabel:`⊞ Winkey` and then type 
+*Miniconda* and press the :guilabel:`Enter` key. This should open a small 
+window that programmers call *console* or *shell* in which you can enter 
+commands and run programs.
 
-Once Miniconda is installed start a Miniconda Prompt. To do this on Windows
-click the :guilabel:`⊞ Winkey` then type *Miniconda* and press the
-:guilabel:`Enter` key. This should open a small dark window that programmers
-call *console* or *shell* in which you can enter commands and run programs.
+On Mac OS X download and run "Miniconda3 MacOSX 64-bit pkg" for Python 3.8.
+Once installed click the Spotlight icon :guilabel:`🔍` and in the search field 
+type *terminal* and press the :guilabel:`Enter` key to open the console.
 
 To run *jupylet* first install it by typing the following command in the
 console:
@@ -30,25 +31,18 @@ If you are using Python 3.8 on Windows you also need to run following command:
 
     python -m jupylet postinstall
 
-Next, if you want to run the example notebooks, download the *jupylet* code 
-base. If you have `Git <https://git-scm.com/>`_ installed type the following
-command:
+Next, to run the example notebooks download the *jupylet* source code. If 
+you have `Git <https://git-scm.com/>`_ installed type the following command:
 
 .. code-block:: bash
 
     git clone https://github.com/nir/jupylet.git
 
-Alternatively, you can download and unzip the *jupylet* code base by 
-copy-pasting the following commands into the console:
+Alternatively, you can download the source code with the following command:
 
 .. code-block:: bash
 
-    python -m wget https://github.com/nir/jupylet/archive/master.zip
-    python -m zipfile -e jupylet-master.zip .
-    move jupylet-master jupylet
-
-.. note::
-    On Mac OS X or Linux type *mv* instead of *move* in the command above.
+    python -m jupylet download
 
 Next, enter the *jupylet/examples/* directory with the change directory
 command:

docs/programmers_reference_guide/introduction.rst

@@ -1,7 +1,7 @@
 INTRODUCTION
 ============
 
-*Jupylet* is a Python library that lets you create 2D and 3D games, graphics,
+*Jupylet* is a Python library for programming 2D and 3D games, graphics,
 music and sound synthesizers, interactively in a Jupyter notebook. It is 
 intended for three types of audiences:
 

jupylet/__init__.py

@@ -74,12 +74,7 @@ def download_url(url, progress=False):
 
    import tqdm
 
-   pbar = tqdm.tqdm(
-      unit='B', 
-      unit_scale=True,
-      miniters=1, 
-      desc=url.split('/')[-1]
-   )
+   pbar = tqdm.tqdm(unit='B', unit_scale=True, desc=url.split('/')[-1])
 
    def update(b=1, bsize=1, tsize=None):
       if tsize is not None: