Jupyter for Data Science: Exploratory analysis,statistical modeling,machine learning,and data visualization with Jupyter
by: Dan Toomey
ISBN-10: 1785880071
ISBN-13: 9781785880070
Released: 2017-10-20
Pages: 242
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 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.
Contents
1: JUPYTER AND DATA SCIENCE
2: WORKING WITH ANALYTICAL DATA ON JUPYTER
3: DATA VISUALIZATION AND PREDICTION
4: DATA MINING AND SQL QUERIES
5: R WITH JUPYTER
6: DATA WRANGLING
7: JUPYTER DASHBOARDS
8: STATISTICAL MODELING
9: MACHINE LEARNING USING JUPYTER
10: OPTIMIZING JUPYTER NOTEBOOKS
What You Will 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
Authors
Dan Toomey
Dan Toomey has been developing applications for over 20 years. He has worked in a variety of industries and companies of all sizes,in roles ranging from sole contributor to the VP/CTO level. For the last 10 years or so,he has been contracting with companies in the eastern Massachusetts area,under Dan Toomey Software Corp. Dan has also written a few books with Packt Publishing.
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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.
Contents
1: JUPYTER AND DATA SCIENCE
2: WORKING WITH ANALYTICAL DATA ON JUPYTER
3: DATA VISUALIZATION AND PREDICTION
4: DATA MINING AND SQL QUERIES
5: R WITH JUPYTER
6: DATA WRANGLING
7: JUPYTER DASHBOARDS
8: STATISTICAL MODELING
9: MACHINE LEARNING USING JUPYTER
10: OPTIMIZING JUPYTER NOTEBOOKS
What You Will 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
Authors
Dan Toomey
Dan Toomey has been developing applications for over 20 years. He has worked in a variety of industries and companies of all sizes,in roles ranging from sole contributor to the VP/CTO level. For the last 10 years or so,he has been contracting with companies in the eastern Massachusetts area,under Dan Toomey Software Corp. Dan has also written a few books with Packt Publishing.
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相关推荐
- ROS 2 from Scratch: Get started with ROS 2 and create robotics applications with Python and C++
- An Introduction to Partial Differential Equations with MATLAB, 3rd Edition
- Outlier Detection in Python
- Signals and Systems: Theory and Practical Explorations with Python
- Text Processing with JavaScript: Regular Expressions, Tools, and Techniques for Optimal Performance
- Introduction to Python Programming
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1: JUPYTER AND DATA SCIENCE
2: WORKING WITH ANALYTICAL DATA ON JUPYTER
3: DATA VISUALIZATION AND PREDICTION
4: DATA MINING AND SQL QUERIES
5: R WITH JUPYTER
6: DATA WRANGLING
7: JUPYTER DASHBOARDS
8: STATISTICAL MODELING
9: MACHINE LEARNING USING JUPYTER
10: OPTIMIZING JUPYTER NOTEBOOKS
What You Will Learn
What You Will 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
Authors
Dan Toomey
Dan Toomey has been developing applications for over 20 years. He has worked in a variety of industries and companies of all sizes,in roles ranging from sole contributor to the VP/CTO level. For the last 10 years or so,he has been contracting with companies in the eastern Massachusetts area,under Dan Toomey Software Corp. Dan has also written a few books with Packt Publishing.
[/erphpdown]
未经允许不得转载：finelybook » Jupyter for Data Science: Exploratory analysis,statistical modeling,machine learning,and data visualization with Jupyter
相关推荐
- ROS 2 from Scratch: Get started with ROS 2 and create robotics applications with Python and C++
- An Introduction to Partial Differential Equations with MATLAB, 3rd Edition
- Outlier Detection in Python
- Signals and Systems: Theory and Practical Explorations with Python
- Text Processing with JavaScript: Regular Expressions, Tools, and Techniques for Optimal Performance
- Introduction to Python Programming
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觉得文章有用就打赏一下
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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
Authors
Dan Toomey
Dan Toomey has been developing applications for over 20 years. He has worked in a variety of industries and companies of all sizes,in roles ranging from sole contributor to the VP/CTO level. For the last 10 years or so,he has been contracting with companies in the eastern Massachusetts area,under Dan Toomey Software Corp. Dan has also written a few books with Packt Publishing.
[/erphpdown]
未经允许不得转载：finelybook » Jupyter for Data Science: Exploratory analysis,statistical modeling,machine learning,and data visualization with Jupyter
相关推荐
- ROS 2 from Scratch: Get started with ROS 2 and create robotics applications with Python and C++
- An Introduction to Partial Differential Equations with MATLAB, 3rd Edition
- Outlier Detection in Python
- Signals and Systems: Theory and Practical Explorations with Python
- Text Processing with JavaScript: Regular Expressions, Tools, and Techniques for Optimal Performance
- Introduction to Python Programming
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Dan Toomey
Dan Toomey has been developing applications for over 20 years. He has worked in a variety of industries and companies of all sizes,in roles ranging from sole contributor to the VP/CTO level. For the last 10 years or so,he has been contracting with companies in the eastern Massachusetts area,under Dan Toomey Software Corp. Dan has also written a few books with Packt Publishing.
[/erphpdown]
[/erphpdown]
未经允许不得转载：finelybook » Jupyter for Data Science: Exploratory analysis,statistical modeling,machine learning,and data visualization with Jupyter
相关推荐
- ROS 2 from Scratch: Get started with ROS 2 and create robotics applications with Python and C++
- An Introduction to Partial Differential Equations with MATLAB, 3rd Edition
- Outlier Detection in Python
- Signals and Systems: Theory and Practical Explorations with Python
- Text Processing with JavaScript: Regular Expressions, Tools, and Techniques for Optimal Performance
- Introduction to Python Programming
评论 抢沙发
觉得文章有用就打赏一下
您的打赏，我们将继续给力更多优质内容
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