Python for data science

Note this repo is a work in progress

Jupyter notebooks covering Python & it's application to data science

To run code:

1. Install VSCode and the VSCode Python plugin (which includes Jupyter notebooks)

2. Clone the repo with GitHub CLI:

gh repo clone CormacKinsella/python-data-science

3. Set up the Conda environment for software dependencies. Get conda here. To create and activate the environment:

conda env create -f python-data-science.yml
conda activate python-data-science

4. Open any of the notebooks within VSCode, and explore code interactively!

Notebooks

For getting familiar with Python:

python-fundamentals.ipynb

Setting up environment, fundamentals of stdlib Python coding

Bioinformatics:

python-bioinformatics.ipynb

Differences between Shell and Python pipelines, Subprocess, the Sh package, bioinformatics packages made for python, Biopython

Machine learning:

python-machine-learning.ipynb

Machine learning with Python

Data science and visualisation:

python-data_manipulation_and_graphics.ipynb

Numpy, Pandas, and graphics for data science

Dashboard visualisation:

python-dashboards.ipynb

Dashboard overview, the Dash package for Python, deploying to cloud