Month: January 2018

variables

A quick start guide to Python for data science – Part II – Variables

In last week’s post, we installed Anaconda and learnt how to use Jupyter Notebook. Then we executed few arithmetic commands and saw how Jupyter Notebook shows the output. We also saw comments in the last post. If you have missed the last post, you can read it here. Part 1 – Preparation In this weeks …

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data science

A quick start guide to Python for data science – Part I – The Preparation

Data science is a multidisciplinary field where you need knowledge of programming, statistics and domain knowledge. At times you can do away with domain knowledge because chances are that you will be working with a subject matter expert. But the other two aspects, programming and statistics are must know if you want to be anywhere …

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