fix windows and remove anaconda

Author: chennesy

episodes/getting-started.md

@@ -71,7 +71,7 @@ Jupyter notebooks let us execute and view the results of our Python code immedia
 - Each notebook contains one or more cells that contain code, text, or images.
 
 ### Start JupyterLab
-Once you have created the `lc-python` directory on your Desktop, you can start JupyterLab by opening a shell command line interface or by using Anaconda Navigator.
+Once you have created the `lc-python` directory on your Desktop, you can start JupyterLab by opening a shell command line interface.
 
 #### Mac users - Command Line
 
@@ -92,14 +92,16 @@ $ jupyter lab
 
 To start the JupyterLab server you will need to access the Anaconda Prompt.
 
-1. Press the <kbd>Windows Logo Key</kbd> and search for `Anaconda Prompt`, click the result or press enter.
-
-2. Once you have launched the Anaconda Prompt, type the command `jupyter lab`. 
+1. Press the <kbd>Windows Logo Key</kbd> and search for `Miniforge Prompt`, click the result or press enter.
+2. Once you have launched the Miniforge Prompt, change directories to the `lc-python` folder you created earlier. (The example below assumes a starting path of `C:\Users\username`)
+3. Next run `conda activate carpentries` to launch a Python environment which includes Jupyter Notebooks and other tools we will need to proceed through the lesson. 
+4. Finally, type `jupyter lab` which should open a browser window where you can run Jupyter Notebooks.  
 
 Note that the `$` sign is used to indicate a command to be typed on the command prompt, but we never type the `$` sign itself, just what follows after it.
 
 ```bash
-$ cd ..\Desktop\lc-python
+$ cd \Desktop\lc-python
+$ conda activate carpentries
 $ jupyter lab
 ```
 
@@ -189,7 +191,6 @@ You can also use "hotkeys"" to change Jupyter cells from Code to Markdown and ba
 - Press the <kbd>y</kbd> key to convert the cell back to Code.
 ::::::::::::::::::::::::::::::::::::::::::::::::::
 
-[anaconda]: https://docs.anaconda.com/anaconda/install/
 [spyder]: https://www.spyder-ide.org/
 [jupyterlab]: https://jupyterlab.readthedocs.io/en/stable/
 

episodes/libraries.md

@@ -120,7 +120,7 @@ The ASCII letters are abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ
 
 ## Module not found error
 
-Before you can import a Python library, you sometimes will need to download and install it on your machine. Anaconda comes with many of the most popular Python libraries for scientific computing applications built-in, so if you installed Anaconda for this workshop, you'll be able to import many common libraries directly. Some less common tools, like the PyMarc library, however, would need to be installed first.
+Before you can import a Python library, you sometimes will need to download and install it on your machine. The Carpentries conda environment that we're using for the workshop installs a number of common Python libraries for academic computing. Since those are available when you activate the environment you'll be able to import many common libraries directly. Some less common tools, like the PyMarc library, however, would need to be installed first.
 
 ```python
 import pymarc
@@ -130,7 +130,7 @@ import pymarc
 ModuleNotFoundError: No module named 'pymarc'
 ```
 
-You can find out how to install the library by looking at the documentation. [PyMarc](https://pypi.org/project/pymarc/), for example, recommends using a command line tool, `pip`, to install it. You can install with pip in a Jupyter notebook by starting the command with a percentage symbol, which allows you to run shell commands from Jupyter:
+You can find out how to install the library by looking at the documentation. [PyMarc](https://pypi.org/project/pymarc/), for example, recommends using a command line tool, `pip`, for installation, though you can also [install PyMarc using conda](https://anaconda.org/asmeurer/pymarc). To install with pip in a Jupyter notebook you can begin the command with a percentage symbol, which allows you to run shell commands from Jupyter:
 
 ```python
 %pip install pymarc