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All Projects → bonzanini → VideoCourse-DataScienceRecipes

bonzanini / VideoCourse-DataScienceRecipes

Licence: other
Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing

Programming Languages

Jupyter Notebook
11667 projects

Labels

data-sciencemachine-learningvideo-course

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Practical Python Data Science Techniques

Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing.

Videos on PacktPub's Mapt (the publisher)

Videos on OReilly's Safari Online

Setting up the environment

Requirement: Python 3.6

The suggestion is to use the Anaconda distribution.

Create and activate a conda environment:

conda create --name packt-py36 python=3.6 --yes
source activate packt-py36  # Linux / macOS
activate packt-py36  # Windows

Install the libraries used in the course:

conda install --file conda-reqs.txt --yes

Launch Jupyter notebook:

jupyter notebook
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