DS4UX (Spring 2016)/Day 1 lecture: Difference between revisions
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== | == Part 1: Why Programming and Data Science == | ||
The question of who controls our technology, our information, and our data, is increasingly the question of who controls our experience of the world and each other. Programming is the power to define technology. It can be in, this sense, deeply empowering. | The question of who controls our technology, our information, and our data, is increasingly the question of who controls our experience of the world and each other. Programming is the power to define technology. It can be in, this sense, deeply empowering. | ||
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Programming, you will also find — probably a little today and a lot more later on — is also enormously fun. For me, it's like meditation and problem solving. It's exactly as frustrating as a difficult puzzle and even more rewarding because your solution accomplish something else you were trying to do. | Programming, you will also find — probably a little today and a lot more later on — is also enormously fun. For me, it's like meditation and problem solving. It's exactly as frustrating as a difficult puzzle and even more rewarding because your solution accomplish something else you were trying to do. | ||
==== Python is a fantastic language to learn ==== | ==== Python is a fantastic language to learn ==== | ||
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* One of the langauges for science (national weather services, NASA, genomics reseachers) | * One of the langauges for science (national weather services, NASA, genomics reseachers) | ||
* ''Python really shines when it comes to dealing with data and with the web.'' | * ''Python really shines when it comes to dealing with data and with the web.'' | ||
== Part 2: Basic Python concepts == | |||
* ''from tutorial'' | |||
== Resources == | |||
[[Category:DS4UX_(Spring_2016)]] | [[Category:DS4UX_(Spring_2016)]] | ||
Revision as of 04:32, 26 March 2016
Part 1: Why Programming and Data Science
The question of who controls our technology, our information, and our data, is increasingly the question of who controls our experience of the world and each other. Programming is the power to define technology. It can be in, this sense, deeply empowering.
In a technological and data driven world, being able to programming and data science is a kind of literacy. Imagine a world in which everybody could read by only some people could write?
Our goal here is not turn you into the programming equivalent of novelists or journalists. Our goal is to demystify things and give you enough information to become dangerous.
Programming, you will also find — probably a little today and a lot more later on — is also enormously fun. For me, it's like meditation and problem solving. It's exactly as frustrating as a difficult puzzle and even more rewarding because your solution accomplish something else you were trying to do.
Python is a fantastic language to learn
Believe it or not, compared to other programming languages:
- Python has a low "syntatic overhead".
- It's easy to get work done quickly.
- It's relatively forgiving.
Python is versatile useful for a range of applications
There are easier programming languages to learn. But Python is important because it is not a toy. In designing the curriculum for this course, I have tried to only teach tools that professional data scientists and programmers use themselves and find useful.
Python is used for:
- Big Companies — Big companies like Google use Python to run much of the code that collects all the webpages that go into their search results.
- Web applications (Instagram, Pintrest, and the Washington Post all run websites written largely in Python).
- Python can be used to extend existing applications. You can use it to script many graphical applications.
- Python can be used to build graphical games (e.g., Civilization 4; Frets on Fire is a free version of Guitar Hero)
- Python is used for movies and graphics (e.g., Industrial Light and Magic; Disney Feature Animation)
- One of the langauges for science (national weather services, NASA, genomics reseachers)
- Python really shines when it comes to dealing with data and with the web.
Part 2: Basic Python concepts
- from tutorial
