“A Whirlwind Tour of Python” by Jake VanderPlas is a handy little reference for those with some prior programming experience but who are new to Python. It is compact (only 98 pages) yet feature rich, and is a good starting point for picking up Python.
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Picking up Python through Kaggle Learn
One unexpected benefit of joining Kaggle was the discovery of an introductory Python course on Kaggle Learn. It is free to use and consists of short tutorials and hands-on notebook exercises that highlight the key aspects of the language.
The course has a focus on data science applications and is targeted at those with some prior coding experience.
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Installing Anaconda Individual Edition
One of the first tasks is to set up a programming environment on my personal laptop so that I can start coding as quickly as possible. For data science purposes, you can’t go wrong choosing the Anaconda Individual Edition.
It’s open source, free for individuals, has more than 20 million users worldwide and comes with all the key components and packages needed to get started in less than 30 minutes.
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Checkpoint Bravo: Basic computing tools
While strengthening my theoretical foundation, I’ll start familiarising myself with the basic tools to run data science projects. The good news here is that most of these are open source, freely available on the internet and well used by the global data science community.
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