Fixed issue with sklearn => scikit-learn

README.md

@@ -25,6 +25,9 @@ You can also run some of the notebooks interactively with Binder too
 
 # Coding log
 
+* 26 Apr 2023
+ * 
+
 * 04 Apr 2022
  * Added French election example
 * 24 Mar 2022

pythoncourse/installation/create_conda_env_linux.sh

@@ -60,7 +60,7 @@ pip install arctic==1.79.4 \
  cufflinks==0.17.3 plotly kaleido wordcloud \
  dash dash-html-components dash-core-components \
  dash-table jupyter-dash chart_studio Pillow==7.2.0 \
- finmarketpy chartpy findatapy financepy==0.193 pandas==1.2.3
+ finmarketpy chartpy findatapy financepy==0.220 pandas==1.2.3
 
 # plotly==4.14.3
 # Hack for vaex!

pythoncourse/installation/create_conda_env_mac.sh

@@ -57,7 +57,7 @@ pip install arctic==1.79.4 \
  cufflinks==0.17.3 plotly kaleido wordcloud \
  dash dash-html-components dash-core-components \
  dash-table jupyter-dash chart_studio \
- finmarketpy chartpy findatapy financepy==0.193 pandas==1.2.3 numpy==1.19.5
+ finmarketpy chartpy findatapy financepy==0.220 pandas==1.2.3 numpy==1.19.5
 
 # Hack for vaex!
 pip uninstall progressbar2

pythoncourse/installation/create_conda_env_windows.bat

@@ -52,7 +52,7 @@ call pip install arctic==1.79.4 ^
  cufflinks==0.17.3 plotly kaleido wordcloud ^
  dash dash-html-components dash-core-components ^
  dash-table jupyter-dash chart_studio Pillow==7.2.0 ^
- finmarketpy chartpy findatapy financepy==0.193 pandas==1.2.3
+ finmarketpy chartpy findatapy financepy==0.220 pandas==1.2.3
 
 REM plotly==4.14.3
 REM Hack for vaex!

pythoncourse/installation/environment_linux.yml

@@ -682,9 +682,9 @@ dependencies:
  - datetime==4.4
  - enum-compat==0.0.3
  - fake-useragent==0.1.11
- - financepy==0.193
+ - financepy==0.220
  - findatapy==0.1.26
- - finmarketpy==0.11.11
+ - finmarketpy==0.11.12
  - fxcmpy==1.2.10
  - imutils==0.5.4
  - jupyter-dash==0.4.1
@@ -708,7 +708,7 @@ dependencies:
  - retrying==1.3.3
  - rise==5.7.1
  - seasonal==0.3.1
- - sklearn==0.0
+ - scikit-learn==1.0.2
  - twython==3.9.1
  - tzdata==2022.1
  - tzlocal==4.1

pythoncourse/installation/environment_mac.yml

@@ -567,10 +567,10 @@ dependencies:
  - fake-useragent==0.1.11
  - feedfinder2==0.0.4
  - feedparser==6.0.2
- - financepy==0.193
+ - financepy==0.220
  - findatapy==0.1.25
  - findspark==1.4.2
- - finmarketpy==0.11.10
+ - finmarketpy==0.11.12
  - flask-compress==1.9.0
  - flask-ngrok==0.0.25
  - freetype-py==2.2.0
@@ -652,7 +652,7 @@ dependencies:
  - seasonal==0.3.1
  - sentencepiece==0.1.95
  - sgmllib3k==1.0.0
- - sklearn==0.0
+ - scikit-learn==1.0.2
  - smart-open==3.0.0
  - smmap==4.0.0
  - socketio-client==0.7.2

pythoncourse/installation/environment_windows.yml

@@ -632,9 +632,9 @@ dependencies:
  - datetime==4.4
  - enum-compat==0.0.3
  - fake-useragent==0.1.11
- - financepy==0.193
+ - financepy==0.220
  - findatapy==0.1.26
- - finmarketpy==0.11.11
+ - finmarketpy==0.11.12
  - fxcmpy==1.2.10
  - imutils==0.5.4
  - jupyter-dash==0.4.1
@@ -658,7 +658,7 @@ dependencies:
  - retrying==1.3.3
  - rise==5.7.1
  - seasonal==0.3.1
- - sklearn==0.0
+ - scikit-learn==1.0.2
  - twython==3.9.1
  - tzdata==2022.1
  - tzlocal==4.1

pythoncourse/installation/installing_anaconda_and_pycharm.html

@@ -14250,12 +14250,29 @@ <h2 id="Windows/Linux/Mac:-Installing-a-conda-environment-if-all-else-fails">Win
 </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="Problems-with-Jupyter-notebook">Problems with Jupyter notebook<a class="anchor-link" href="#Problems-with-Jupyter-notebook">&#182;</a></h2><p>When running a Jupyter notebook if you get a kernal error displaed and in the command line it shows an error like <code>Kernal Error - FileNotFoundError: [WinError 2] The system cannot find the file specified</code>, you might need to install the <code>ipykernel</code> from the command line. To do this in the Anaconda Prompt type in the following:</p>
+<h2 id="Problems-with-getting-correct-Python-to-run-in-Jupyter-notebook">Problems with getting correct Python to run in Jupyter notebook<a class="anchor-link" href="#Problems-with-getting-correct-Python-to-run-in-Jupyter-notebook">&#182;</a></h2><p>When running a Jupyter notebook if you get a kernal error displaed and in the command line it shows an error like <code>Kernal Error - FileNotFoundError: [WinError 2] The system cannot find the file specified</code>. Basically, this means that Jupyter can't find the correct Python under your conda environment (eg. <code>py38class</code>).</p>
+<p>One fix is to search for <code>kernel.json</code> under your Anaconda folder, and check it has the correct path for the Python under your conda environment. Eg. for <code>py38class</code> we would likely find it in <code>&lt;&lt;Whatever your Anaconda Folder Is&gt;&gt;/py38class/share/jupyter/kernels/python3/kernel.json</code> and below is a sample file.</p>
+<p><code>{
+ "argv": [
+ "c:/Anaconda3/envs/py38class\\python.exe",
+ "-m",
+ "ipykernel_launcher",
+ "-f",
+ "{connection_file}"
+ ],
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "metadata": {
+ "debugger": true
+ }
+}</code></p>
+<p>Once, you've made these changes you'll need to restart Jupyter.</p>
+<p>Alternatively, you might need to install the <code>ipykernel</code> from the command line. To do this in the Anaconda Prompt type in the following:</p>
 <ul>
 <li><code>conda activate py38class</code></li>
-<li><code>python -m ipykernel install --user</code></li>
+<li><code>python -m ipykernel install --user --name=py38class</code></li>
 </ul>
-<p>More details can be found on <a href="https://github.com/jupyter/notebook/issues/4079">https://github.com/jupyter/notebook/issues/4079</a></p>
+<p>More details can be found on <a href="https://github.com/jupyter/notebook/issues/4079">https://github.com/jupyter/notebook/issues/4079</a> and <a href="https://towardsdatascience.com/get-your-conda-environment-to-show-in-jupyter-notebooks-the-easy-way-17010b76e874">https://towardsdatascience.com/get-your-conda-environment-to-show-in-jupyter-notebooks-the-easy-way-17010b76e874</a></p>
 
 </div>
 </div>

pythoncourse/installation/installing_anaconda_and_pycharm.ipynb

@@ -269,14 +269,35 @@
  "cell_type": "markdown",
  "metadata": {},
  "source": [
- "## Problems with Jupyter notebook\n",
+ "## Problems with getting correct Python to run in Jupyter notebook\n",
  "\n",
- "When running a Jupyter notebook if you get a kernal error displaed and in the command line it shows an error like `Kernal Error - FileNotFoundError: [WinError 2] The system cannot find the file specified`, you might need to install the `ipykernel` from the command line. To do this in the Anaconda Prompt type in the following:\n",
+ "When running a Jupyter notebook if you get a kernal error displaed and in the command line it shows an error like `Kernal Error - FileNotFoundError: [WinError 2] The system cannot find the file specified`. Basically, this means that Jupyter can't find the correct Python under your conda environment (eg. `py38class`).\n",
+ "\n",
+ "One fix is to search for `kernel.json` under your Anaconda folder, and check it has the correct path for the Python under your conda environment. Eg. for `py38class` we would likely find it in `<<Whatever your Anaconda Folder Is>>/py38class/share/jupyter/kernels/python3/kernel.json` and below is a sample file.\n",
+ "\n",
+ "`{\n",
+ " \"argv\": [\n",
+ " \"c:/Anaconda3/envs/py38class\\\\python.exe\",\n",
+ " \"-m\",\n",
+ " \"ipykernel_launcher\",\n",
+ " \"-f\",\n",
+ " \"{connection_file}\"\n",
+ " ],\n",
+ " \"display_name\": \"Python 3 (ipykernel)\",\n",
+ " \"language\": \"python\",\n",
+ " \"metadata\": {\n",
+ " \"debugger\": true\n",
+ " }\n",
+ "}`\n",
+ "\n",
+ "Once, you've made these changes you'll need to restart Jupyter.\n",
+ "\n",
+ "Alternatively, you might need to install the `ipykernel` from the command line. To do this in the Anaconda Prompt type in the following:\n",
  "\n",
  "* `conda activate py38class`\n",
- "* `python -m ipykernel install --user`\n",
+ "* `python -m ipykernel install --user --name=py38class`\n",
  "\n",
- "More details can be found on https://github.com/jupyter/notebook/issues/4079"
+ "More details can be found on https://github.com/jupyter/notebook/issues/4079 and https://towardsdatascience.com/get-your-conda-environment-to-show-in-jupyter-notebooks-the-easy-way-17010b76e874"
  ]
  },
  {
@@ -543,4 +564,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}