In this repo, we have resources for Cuemacro courses (including Python for finance taught on QDC), such as how to install Anaconda, PyCharm etc.

For more information about my Python for finance workshops, please contact [email protected]

For instructions on how to install Anaconda and PyCharm see Installing Anaconda and PyCharm

If you can't view the Jupyter notebook in GitHub, you can try viewing that by copying and pasting the URL for the installation guide https://github.com/cuemacro/teaching/blob/master/pythoncourse/installation/installing_anaconda_and_pycharm.ipynb in https://nbviewer.jupyter.org/ ie. to go to the following link https://nbviewer.jupyter.org/github/cuemacro/teaching/blob/master/pythoncourse/installation/installing_anaconda_and_pycharm.ipynb

• Installing Anaconda Python and PyCharm (nbviewer link) - how to install a Python environment for data analysis
• Coronavirus example (nbviewer link) - how to download case data for coronavirus and do basic analysis including charting

• 04 Jun 2020
  • Added Mac conda environment
• 30 May 2020
  • Added pyLDAvis to Anaconda installation files
• 27 May 2020
  • Updated Anaconda installation files (speeded up, removed modin)
• 27 May 2020
  • Updated Anaconda installation files (new Plotly version)
  • Added different filter for removing comments in Jupyter notebook
• 21 May 2020
  • Updated Anaconda installation files and environment YML files to include new Python libaries
• 06 May 2020
  • Note on using nbviewer to view Jupyter notebooks
  • Updated Anaconda installation files
  • Updated environment YML files for new versions of chartpy, findatapy and finmarketpy
• 12 Apr 2020
  • Updated coronavirus Jupyter notebook, fixing bugs and adding new charts
  • Updated Anaconda installation files for Windows and Linux with new libraries
• 28 Mar 2020
  • Updated coronavirus Jupyter notebook with interactive ipywidgets examples from Ewan Kirk
  • Updated Anaconda installation files for Windows and Linux
• 25 Mar 2020
  • Updated coronavirus Jupyter notebook with new paths for source data and lagged analysis
• 12 Mar 2020
  • Edited Anaconda installation files
  • Added coronavirus Jupyter notebook example
• 21 Feb 2020
  • Added extra details on checking Azure Notebook package installation
  • Added additional libraries to conda installations for Windows and Linux
• 21 Jan 2020
  • Added Jupyterlab installation extensions
• 07 Jan 2020
  • Added Dash example for event study
  • Added xlwings example for backtesting
  • Script to strip input code from Jupyter notebooks
• 03 Jan 2020 - Added more market data
• 31 Dec 2019 - Added extra Dash examples
• 19 Dec 2019 - Now using later findatapy version
• 08 Dec 2019 - Fixed updated instructions using Azure
• 04 Dec 2019 - Updated installation instructions for Anaconda/and using Azure notebooks
• 11 Nov 2019 - Added course code (xlwings)
• 28 Oct 2019 - Added Bloomberg installation
• 27 Oct 2019 - Added source code
• 24 Oct 2019 - Added sample FX data
• 23 Oct 2019 - Updated installation instructions for pip installation
• 12 Oct 2019 - Fixed typos and added GPU libraries
• 07 Oct 2019 - Added details on setting paths in Anaconda installation
• 02 Oct 2019 - Moved files for installation
• 01 Oct 2019 - Created teaching GitHub repo

End of note