November 2020
Intermediate to advanced
420 pages
8h 50m
English
Content preview from Applied Computational Thinking with Python
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Section 3:Data Processing, Analysis, and Applications Using Computational Thinking and Python
Data is all around us. We use data to inform decisions about policies, such as how many resources are provided for a school district, how large the budget for a county or state's Medicare program will be, how much we pay for housing in an area, and the trends of the real estate market. Data is embedded in the way that we interact with advertisements too. Simply put, understanding more about data and how to use Python to analyze this data is a really important skillset.
In this section, you will be introduced to advanced functionalities of the Python programming language associated with data analysis and other applications, such as cryptography, experimental ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.