Unleash the power of python for your data analysis projects with For Dummies! python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into librarie...
详细信息
ISBN:
(数字)9781118844144
ISBN:
(纸本)1118844181;9781118844182
Unleash the power of python for your data analysis projects with For Dummies! python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. python for data Science For Dummies shows you how to take advantage of python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns. Youll get familiar with the python development environment, manipulate data, design compelling visualizations, and solve scientific computing challenges as you work your way through this user-friendly guide. Covers the fundamentals of python data analysis programming and statistics to help you build a solid foundation in data science concepts like probability, random distributions, hypothesis testing, and regression models Explains objects, functions, modules, and libraries and their role in data analysis Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib Whether youre new to data analysis or just new to python, python for data Science For Dummies is your practical guide to getting a grip on data overload and doing interesting things with the oodles of information you uncover.
Learn how to create interactive and visually aesthetic plots using the Bokeh package in python About This Book• A step by step approach to creating interactive plots with Bokeh• Go from nstallation all the way to depl...
详细信息
ISBN:
(数字)9781789131314
ISBN:
(纸本)9781789135404
Learn how to create interactive and visually aesthetic plots using the Bokeh package in python
About This Book
• A step by step approach to creating interactive plots with Bokeh
• Go from nstallation all the way to deploying your very own Bokeh application
• Work with a real time datasets to practice and create your very own plots and applications
Who This Book Is For
This book is well suited for data scientists and data analysts who want to perform interactive data visualization on their web browsers using Bokeh. Some exposure to python programming will be helpful, but prior experience with Bokeh is not required.
What You Will Learn
• Installing Bokeh and understanding its key concepts
• Creating plots using glyphs, the fundamental building blocks of Bokeh
• Creating plots using different data structures like NumPy and Pandas
• Using layouts and widgets to visually enhance your plots and add a layer of interactivity
• Building and hosting applications on the Bokeh server
• Creating advanced plots using spatial data
In Detail
Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in python offers users a way to create both interactive and visually aesthetic plots for free. This book gets you up to speed with Bokeh - a popular python library for interactive data visualization.
The book starts out by helping you understand how Bokeh works internally and how you can set up and install the package in your local machine. You then use a real world data set which uses stock data from Kaggle to create interactive and visually stunning plots. You will also learn how to leverage Bokeh using some advanced concepts such as plotting with spatial and geo data. Finally you will use all the concepts that you have learned in the previous chapters to create your very own Bokeh a
Learn how to create interactive and visually aesthetic plots using the Bokeh package in python Key Features A step by step approach to creating interactive plots with Bokeh Go from installation all the way to deployin...
详细信息
ISBN:
(数字)9781789131314
ISBN:
(纸本)9781789135404
Learn how to create interactive and visually aesthetic plots using the Bokeh package in python Key Features A step by step approach to creating interactive plots with Bokeh Go from installation all the way to deploying your very own Bokeh application Work with a real time datasets to practice and create your very own plots and applications Book Description Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in python offers users a way to create both interactive and visually aesthetic plots for free. This book gets you up to speed with Bokeh - a popular python library for interactive data visualization. The book starts out by helping you understand how Bokeh works internally and how you can set up and install the package in your local machine. You then use a real world data set which uses stock data from Kaggle to create interactive and visually stunning plots. You will also learn how to leverage Bokeh using some advanced concepts such as plotting with spatial and geo data. Finally you will use all the concepts that you have learned in the previous chapters to create your very own Bokeh application from scratch. By the end of the book you will be able to create your very own Bokeh application. You will have gone through a step by step process that starts with understanding what Bokeh actually is and ends with building your very own Bokeh application filled with interactive and visually aesthetic plots. What you will learn Installing Bokeh and understanding its key concepts Creating plots using glyphs, the fundamental building blocks of Bokeh Creating plots using different data structures like NumPy and Pandas Using layouts and widgets to visually enhance your plots and add a layer of interactivity Building and hosting applications on the Bokeh server Creating advance
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