Looking at more resources online for Python for Data Science.
There are many good resources available.
Of course the main tools are: Numpy, Pandas, MathPlotLib, SkiKit-Learn has some amazing tools.
Kaggle for instance has Data Science contents, but good to install a local system like the Jupyter Notebook to speed things up as the Kaggle editor can lag and take some time to run on small data-sets.
The newer DataCamp has some neat tutorials on it and simple App to do daily exercises on your mobile device.
Here is the Python DataScience Handbook. Really useful.
A short tutorial: Learn Python for Data Science, a fun read.
A list of cool DataSci tutorials is here, and another how to get started with Python for DS.
Will add more later.
There are many good resources available.
Of course the main tools are: Numpy, Pandas, MathPlotLib, SkiKit-Learn has some amazing tools.
Kaggle for instance has Data Science contents, but good to install a local system like the Jupyter Notebook to speed things up as the Kaggle editor can lag and take some time to run on small data-sets.
The newer DataCamp has some neat tutorials on it and simple App to do daily exercises on your mobile device.
Here is the Python DataScience Handbook. Really useful.
A short tutorial: Learn Python for Data Science, a fun read.
A list of cool DataSci tutorials is here, and another how to get started with Python for DS.
Will add more later.