Jupyter for Data Science
暫譯: Jupyter 在數據科學中的應用

Key Features

• Get the most out of your Jupyter notebook to complete the trickiest of tasks in Data Science quickly and effortlessly
• Covers all the tasks in the data science pipeline - from data acquisition to visualization - and implementing them using Jupyter
• Get ahead of the curve by mastering all the applications of Jupyter for Data Science with this unique and intuitive guide

Book Description

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations and visualizations. This book will be a comprehensive guide to getting started with data science using the popular Jupyter notebook.

If you are familiar with the Jupyter notebook and want to learn how to use its capabilties to perform various data science tasks, this is the book for you! From data exploration to visualization, this book will take you through every step of the way in implementing an effective data science pipeline using Jupyter. You will also see how you can utilize Jupyter's features to share your documents and codes with your colleagues. The book also explains how various languages such as Python, R, and Julia can be integrated with Jupyter for various data science tasks.

By the end of this book, you will be comfortably able to leverage the power of Jupyter to conduct various tasks in data science successfully.

What you will learn

• Understand why Jupyter notebooks are a perfect fit for your data science tasks
• Perform scientfic computing and data analysis tasks with Jupyter
• Interpret and explore different kinds of data visually with charts, histograms and more
• Extend SQL's capabilities with Jupyter notebooks
• Combine the power of R and Python with Jupyter to create dynamic notebooks
• Create interactive dashboards and dynamic presentations
• Master the best coding practices and deploy your Jupyter notebooks efficiently