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richardfoltyn / repository
Jupyter notebooks for introductory Python course for the MSc program "Data Analytics for Economics and Finance" at the University of Glasgow.
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Author: Richard Foltyn, University of Glasgow
NOTE: This repository is no longer being maintained. Please use the material hosted here instead which was prepared for a more recent, similar course.
This introductory course consists of several units. Each unit corresponds to one interactive Jupyter notebook, which is also available as a static PDF file. Alternatively, you can download the entire course as a single PDF.
The launch binder link at the top to start an interactive notebook.
Click on the button
above to use the notebooks directly in your web browser
(in might take a while to set up the environment). No local
Python installation is required.
Selected from shared topics, language and repository description—not editorial ratings.
richardfoltyn /
Jupyter notebooks for the course "Introduction to Python Programming for Economics & Finance" taught at Glasgow University
52/100 healthrichardfoltyn /
Jupyter notebooks for part 1 of the course "Machine Learning in Finance with Python" (ECON5130) taught at Glasgow University
41/100 healthIf you are familiar with git, clone the repository:
git clone https://github.com/richardfoltyn/python-statistics.git
Otherwise, download the contents as a ZIP file by clicking on above.
On Windows, you need to install a local Python environment such as Anaconda. On Linux, your distribution comes with Python but the required packages are most likely outdated, so it is still recommended installing Anaconda.
Once Anaconda is installed, click on Jupyter Notebook in the Start menu
and navigate to where you extracted the repository contents. Select
index.ipynb to run the main notebook.
You need to create a new Python environment which contains all the required packages. You can use the specification provided in environment.yml to accomplish that:
conda env create -f environment.yml
Activate the virtual environment you just created:
conda activate python-statistics
To start the Jupyter notebook server, navigate to where you extracted the repository contents and run
cd path/to/repository
jupyter notebook index.ipynb
This material is licensed under a
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License,
except for the data files contained in the data/ folder, which
fall under the terms imposed by the original content creators.
Special thanks go to Jonna Olsson for reading through all units and suggesting various improvements.