Updated installation instructions

README.md

@@ -24,6 +24,8 @@ You can also run some of the notebooks interactively with Binder too
 
 # Coding log
 
+* 25 Oct 2021
+ * Minor update to installation instructions
 * 08 Oct 2021
  * Updated some library versions (chartpy, findatapy and finmarketpy)
 * 29 Jul 2021

pythoncourse/installation/installing_anaconda_and_pycharm.html

@@ -14321,9 +14321,9 @@ <h2 id="Download-and-install-Anaconda">Download and install Anaconda<a class="an
 </div>
 <div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
 </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h2 id="Windows:-Installing-a-conda-environment-for-Windows-from-YML-file-(quickest-method---recommended)">Windows: Installing a conda environment for Windows from YML file (quickest method - recommended)<a class="anchor-link" href="#Windows:-Installing-a-conda-environment-for-Windows-from-YML-file-(quickest-method---recommended)">&#182;</a></h2><p>We can download <a href="https://raw.githubusercontent.com/cuemacro/teaching/master/pythoncourse/installation/environment_windows.yml">environment_windows.yml (click to download)</a> from our browser or via <code>curl</code> in the command line. We can use that YML file to create our conda environment with all the necessary packages. This also installs the exact same libraries versions that I have (and reduces the likelihood of version conflicts between libraries). The conda environment file is periodically updated for new versions of libraries. Sometimes conda might hang for a very long time, if this is the case, try the "slower" method below.</p>
+<h2 id="Windows:-Installing-a-conda-environment-for-Windows-from-YML-file-(quickest-method---recommended)">Windows: Installing a conda environment for Windows from YML file (quickest method - recommended)<a class="anchor-link" href="#Windows:-Installing-a-conda-environment-for-Windows-from-YML-file-(quickest-method---recommended)">&#182;</a></h2><p>We can download <a href="https://raw.githubusercontent.com/cuemacro/teaching/master/pythoncourse/installation/environment_windows.yml">environment_windows.yml (click to download)</a> from our browser or via <code>curl</code> in the command line (or it will be alongside the teaching notes folder if you attend a Cuemacro course). We can use that YML file to create our conda environment with all the necessary packages. This also installs the exact same libraries versions that I have (and reduces the likelihood of version conflicts between libraries). The conda environment file is periodically updated for new versions of libraries. Sometimes conda might hang for a very long time, if this is the case, try the "slower" method below.</p>
 <ul>
-<li>Open up the Anaconda Prompt (should be in the Start Menu usually labelled Anaconda Prompt (Anaconda3))</li>
+<li>Open up the Anaconda Prompt (should be in the Start Menu usually labelled <em>Anaconda Prompt (Anaconda3)</em> try to avoid using <em>Anaconda Powershell Prompt (Anaconda3)</em>, because it can sometimes have issues with <code>curl</code>)</li>
 <li><p>In this prompt, your Anaconda folder will be on the path (ie. it will recognise where <code>conda</code> is installed etc.)</p>
 <ul>
 <li>Type in <code>conda activate</code> and press Enter to exit the current conda environment, then <code>conda remove -n py38class --all --yes</code> and press Enter to remove any existing environments called <code>py38class</code></li>
@@ -14338,7 +14338,7 @@ <h2 id="Windows:-Installing-a-conda-environment-for-Windows-from-YML-file-(quick
 </li>
 <li>Anaconda will then run all the necessary command to download the various packages above using conda and pip</li>
 <li>Sometimes when you see the progress bar for certain libraries it will appear to stall, but you can sometimes try pressing "y" to make it continue</li>
-<li>At the end of the process you'll have a Python 3.7 conda environment with the name 'py38class' which you can use, with all the packages you'll need for this course, such as pandas, numpy etc.</li>
+<li>At the end of the process you'll have a Python 3.8 conda environment with the name 'py38class' which you can use, with all the packages you'll need for this course, such as pandas, numpy etc.</li>
 <li>Note that you may need to put in the full path for wherever you downloaded the <code>environment_windows.yml</code> file or you can simply <code>cd</code> to that folder and then run the above conda command</li>
 <li>Typically when you download files from your internet browser, Windows will usually save it in the users downloads folder, this is usually accessable by doing
  <code>cd \Users\&lt;your-username&gt;\Downloads</code> and then pressing Enter</li>

pythoncourse/installation/installing_anaconda_and_pycharm.ipynb

@@ -75,9 +75,9 @@
  "source": [
  "## Windows: Installing a conda environment for Windows from YML file (quickest method - recommended)\n",
  "\n",
- "We can download [environment_windows.yml (click to download)](https://raw.githubusercontent.com/cuemacro/teaching/master/pythoncourse/installation/environment_windows.yml) from our browser or via `curl` in the command line. We can use that YML file to create our conda environment with all the necessary packages. This also installs the exact same libraries versions that I have (and reduces the likelihood of version conflicts between libraries). The conda environment file is periodically updated for new versions of libraries. Sometimes conda might hang for a very long time, if this is the case, try the \"slower\" method below.\n",
+ "We can download [environment_windows.yml (click to download)](https://raw.githubusercontent.com/cuemacro/teaching/master/pythoncourse/installation/environment_windows.yml) from our browser or via `curl` in the command line (or it will be alongside the teaching notes folder if you attend a Cuemacro course). We can use that YML file to create our conda environment with all the necessary packages. This also installs the exact same libraries versions that I have (and reduces the likelihood of version conflicts between libraries). The conda environment file is periodically updated for new versions of libraries. Sometimes conda might hang for a very long time, if this is the case, try the \"slower\" method below.\n",
  "\n",
- "* Open up the Anaconda Prompt (should be in the Start Menu usually labelled Anaconda Prompt (Anaconda3))\n",
+ "* Open up the Anaconda Prompt (should be in the Start Menu usually labelled *Anaconda Prompt (Anaconda3)* try to avoid using *Anaconda Powershell Prompt (Anaconda3)*, because it can sometimes have issues with `curl`)\n",
  "* In this prompt, your Anaconda folder will be on the path (ie. it will recognise where `conda` is installed etc.)\n",
  " * Type in `conda activate` and press Enter to exit the current conda environment, then `conda remove -n py38class --all --yes` and press Enter to remove any existing environments called `py38class`\n",
  " * If you haven't already downloaded the `environment_windows.yml` file you can do it from the command line using `curl`:\n",
@@ -87,7 +87,7 @@
  " * `conda env create -f .\\environment_windows.yml`\n",
  " * Anaconda will then run all the necessary command to download the various packages above using conda and pip\n",
  " * Sometimes when you see the progress bar for certain libraries it will appear to stall, but you can sometimes try pressing \"y\" to make it continue\n",
- " * At the end of the process you'll have a Python 3.7 conda environment with the name 'py38class' which you can use, with all the packages you'll need for this course, such as pandas, numpy etc.\n",
+ " * At the end of the process you'll have a Python 3.8 conda environment with the name 'py38class' which you can use, with all the packages you'll need for this course, such as pandas, numpy etc.\n",
  " * Note that you may need to put in the full path for wherever you downloaded the `environment_windows.yml` file or you can simply `cd` to that folder and then run the above conda command\n",
  " * Typically when you download files from your internet browser, Windows will usually save it in the users downloads folder, this is usually accessable by doing\n",
  " `cd \\Users\\<your-username>\\Downloads` and then pressing Enter\n",

pythoncourse/notebooks/coronavirus_example.html

@@ -16602,9 +16602,9 @@ <h2 id="Interactive-plots">Interactive plots<a class="anchor-link" href="#Intera
 
 
 
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