Collection of the different sort of own data analysis performed with help of IPython and it's amazing Notebook (now known as Jupyter Notebook).
- Install one of the following
- Python 2.7 + Packages
- Anacoda
- Update Anaconda
- How to update already installed anaconda
-
conda update conda conda update anaconda conda update --all
- Plotting data from the weather web site tutiempo.net
- Sample analysis of Iris with sklearn
- Repeating data analysis of energy efficiency dataset previouslt done in publication
- Check
- Based on publication 'Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools' by A. Tsanas and A. Xifara published in Energy and Buildings, Vol. 49, pp. 560-567, 2012.
- Plotting irradiance data gathered by Solar Measurement Grid, Oahu, Hawaii provided by NREL
- To download data you may want to use script "download_nrel_oahu_solar.py" provided inside "nrel-oahu-solar/data" folder
- Start Jupyther Notebook with Anacoda
jupyter notebook
- Start IPython with Anaconda on machine with Windows for github repository
activate analysis
ipython notebook --ip='*' --notebook-dir=D:\git\data-analysis-ipython\
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Data Preprocessing
-
Jupyter Notebooks from Books
- Python Data Science Handbook by Jake Vanderplas
-
Tutorials and Videos
- Reproducible Data Analysis in Jupyter
- Very short, but descriptive video colletion by Jake Vanderplas, git repository is here - JupyterWorkflow
- Reproducible Data Analysis in Jupyter
- Viktor Dmitriyev