Jupyter for Data Science

More Information
Learn
  • Understand why Jupyter notebooks are a perfect fit for your data science tasks
  • Perform scientific 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 3 with Jupyter to create dynamic notebooks
  • Create interactive dashboards and dynamic presentations
  • Master the best coding practices and deploy your Jupyter notebooks efficiently
About

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 is a comprehensive guide to getting started with data science using the popular Jupyter notebook.

If you are familiar with Jupyter notebook and want to learn how to use its capabilities 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 Python 3, R, and Julia can be integrated with Jupyter for various data science tasks.

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

Features
  • Get the most out of your Jupyter notebook to complete the trickiest of tasks in Data Science
  • Learn all the tasks in the data science pipeline—from data acquisition to visualization—and implement them using Jupyter
  • Get ahead of the curve by mastering all the applications of Jupyter for data science with this unique and intuitive guide
Page Count 242
Course Length 7 hours 15 minutes
ISBN 9781785880070
Date Of Publication 19 Oct 2017

Authors

Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.