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What Should You Expect From This Book?

1. How to Read This Book
2. Python Built-in Methods
3. Python Utility Libraries
4. Pandas
5. NumPy
- 5.1. NumPy
6. Data Science Tools
7. Cool Tools
8. Jupyter Notebook
- 8.1. Jupyter Notebook

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Jupyter Notebook

8. Jupyter Notebook#

Jupyter Notebook is a popular tool among data scientists. This chapter covers some libraries and tools to improve Jupyter Notebook experience.

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7.7. Environment Management

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8.1. Jupyter Notebook

By Khuyen Tran

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