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More Resources

Part I: Bootcamp Experience (recommended)

(Estimated completion time: 10 minutes)

Read some blogs from our alumni on their experience during the data science bootcamp.


Part II: Additional Reading (recommended)

One of Guido's key insights is that code is read much more often than it is written. The guidelines provided here are intended to improve the readability of code and make it consistent across the wide spectrum of Python code. As PEP 20 says, "Readability counts".

A style guide is about consistency. Consistency with this style guide is important. Consistency within a project is more important. Consistency within one module or function is the most important.

The following tutorials are very helpful in preparing for the bootcamp. It is highly recommended that you review them prior to the bootcamp.

Python

Python - Pandas

Advanced Python

  • Think Complexity: This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science

Data Science

Statistics

Greek Math Letters

  • Greek letters - get comfortable with commonly used Greek letters in math

SQL

Web Development for D3