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# Practical Python Programming
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# Practical Python Programming
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When I first learned Python nearly 25 years ago, I was immediately
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struck by the ease at which I could apply it to all sorts of messy
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work projects. Fast-forward a decade and I found myself teaching
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others the same joy. The result of that teaching is this
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course--material that has been actively taught to more than 400
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in-person groups since 2007. Traders, systems admins, astronomers,
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NASA rocket scientists, and even a few software engineers--they've all
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taken this course. Now, the course is available for free. Enjoy!
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--David Beazley (http://www.dabeaz.com)
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## Prerequisites and Target Audience
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The material you see here is the core of an instructor-led Python
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training course. It is typically taught in-person over the span of
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three or four days--requiring approximately 25-30 hours of work. This
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includes the completion of approximately 130 hands on coding exercises.
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The target audience is scientists, engineers, and programmers who
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already have experience in at least one other programming language. No
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prior knowledge of Python is required, but knowledge of common
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programming topics is assumed.
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The goal of the course is to cover foundational aspects of Python
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programming with an emphasis on script writing, data manipulation, and
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program organization. The course does NOT focus on Python tooling,
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IDEs, or third-party packages (i.e., it's not focused on using data
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science libraries in Jupyter Notebooks or on deploying web apps).
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To complete this course, you simply need a basic installation of
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Python 3.6 or newer and time--especially the latter.
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## Table of Contents
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## Table of Contents
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* [1. Introduction to Python](01_Introduction/00_Overview)
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* [1. Introduction to Python](01_Introduction/00_Overview)
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