Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Test Write Strategy: A simple test that emulates a simulation loop and write raw numpy data and an HDF5 file to compare sizes and times to output a large amount of data.
Accumulative Sum Benchmark: a comparison between different implementations to deal with accumulative sum using Python native loops, numpy.cumsum and sci20 Array.
Install nbformat in the root environment: conda install -n root nbformat
Create an environment to run jupyter notebook: type conda env create in the root directory of this project (or conda env update if the notebooks environment was already created previously)
Activate the environment: type activate notebooks (Windows) or source activate notebooks (Unix)
Run and open it: jupyter notebook
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