Companies Home Search Profile

Data Visualization with Python and JavaScript

Data Visualization with Python and JavaScript

Download pdf

Data Visualization with Python and JavaScript

Data Visualization with Python and JavaScript

Category

JavaScript

Python

Data Visualization

Author

Kyran Dale

Publication

OReilly Media

0 View

How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries.

Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can\'t compare with Python\'s. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started.

You\'ll learn how to:

Obtain data you need programmatically, using scraping tools or web APIs: Requests, Scrapy, Beautiful Soup
Clean and process data using Python\'s heavyweight data processing libraries within the NumPy ecosystem: Jupyter notebooks with pandas+Matplotlib+Seaborn
Deliver the data to a browser with static files or by using Flask, the lightweight Python server, and a RESTful API
Pick up enough web development skills (HTML, CSS, JS) to get your visualized data on the web
Use the data you\'ve mined and refined to create web charts and visualizations with Plotly, D3, Leaflet, and other libraries

'

Download pdf

ISBN-10

ISBN-13

9781098111878

Publisher

OReilly Media

Price

0

File Type

PDF

Page No.

0

Kyran Dale

About the Author

Kyran Dale is a jobbing programmer, ex-research scientist, recreational hacker, independent researcher, occasional entrepreneur, cross-country runner and improving jazz pianist. During 15 odd years as a research scientist he hacked a lot of code, learned a lot of libraries and settled on some favorite tools. These days he finds Python, JavaScript, and a little C++ goes a long way to solving most problems out there. He specializes in fast-prototyping and feasibility studies, with an algorithmic bent but is happy to just build cool things. --This text refers to the paperback edition.

Similar Books

Developing a React.js Edge, Second Edition: The JavaScript Library for User Interfaces

Developing a React.js Edge, Second Edition: The JavaScript Library for User Interfaces

Richard Feldman

Svelte: A Beginner's Guide

Svelte: A Beginner's Guide

Simon Holthausen

Web Development

Mastering JavaScript Functional Programming: Write clean, robust, and maintainable web and server code using functional JavaScript, 2nd Edition

Mastering JavaScript Functional Programming: Write clean, robust, and maintainable web and server code using functional JavaScript, 2nd Edition

Federico Kereki

Hands-On JavaScript High Performance: Build faster web apps using Node.js, Svelte.js, and WebAssembly

Hands-On JavaScript High Performance: Build faster web apps using Node.js, Svelte.js, and WebAssembly

Justin Scherer

Software Development

UI Testing with Puppeteer: Implement end-to-end testing and browser automation using JavaScript and Node.js

UI Testing with Puppeteer: Implement end-to-end testing and browser automation using JavaScript and Node.js

Dario Kondratiuk

Automation Testing

Learning Jupyter 5: Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab, 2nd Edition

Learning Jupyter 5: Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab, 2nd Edition

Dan Toomey

JavaScript Crash Course

JavaScript Crash Course

Nick Morgan

Modern Asynchronous JavaScript

Modern Asynchronous JavaScript

Faraz K. Kelhini

Understanding JavaScript Promises

Understanding JavaScript Promises

Nicholas C. Zakas

JavaScript Coding for Teens: A Beginner's Guide to Developing Websites and Games

JavaScript Coding for Teens: A Beginner's Guide to Developing Websites and Games

Andrew Yueh

Web Development

The Jamstack Book: Beyond static sites with JavaScript, APIs, and markup

The Jamstack Book: Beyond static sites with JavaScript, APIs, and markup

Raymond Camden

Testing JavaScript Applications

Testing JavaScript Applications

Lucas da Costa

Software Testing

Luminescence Signal Analysis Using Python

Luminescence Signal Analysis Using Python

Vasilis Pagonis

Algorithmic Decision Making with Python Resources: From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs ... Research & Management Science Book 324)

Algorithmic Decision Making with Python Resources: From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraphs ... Research & Management Science Book 324)

Raymond Bisdorff

Embedded System Design with ARM Cortex-M Microcontrollers: Applications with C, C++ and MicroPython

Embedded System Design with ARM Cortex-M Microcontrollers: Applications with C, C++ and MicroPython

Cem Unsalan

Eye-Tracking with Python and Pylink

Eye-Tracking with Python and Pylink

Zhiguo Wang

Python Pandas for Beginners: Pandas Specialization for Data Scientist

Python Pandas for Beginners: Pandas Specialization for Data Scientist

AI Publishing

Python NumPy for Beginners: NumPy Specialization for Data Science

Python NumPy for Beginners: NumPy Specialization for Data Science

AI Publishing

Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python, 2nd Edition

Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python, 2nd Edition

Ted Petrou

Python GUI Programming - A Complete Reference Guide: Develop responsive and powerful GUI applications with PyQt and Tkinter

Python GUI Programming - A Complete Reference Guide: Develop responsive and powerful GUI applications with PyQt and Tkinter

B.M. Harwani

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

Tarek Amr

Supervised Machine Learning with Python: Develop rich Python coding practices while exploring supervised machine learning

Supervised Machine Learning with Python: Develop rich Python coding practices while exploring supervised machine learning

Taylor Smith

Training Systems Using Python Statistical Modeling: Explore popular techniques for modeling your data in Python

Training Systems Using Python Statistical Modeling: Explore popular techniques for modeling your data in Python

Curtis Miller

Getting Started with Python: Understand key data structures and use Python in object-oriented programming

Getting Started with Python: Understand key data structures and use Python in object-oriented programming

Fabrizio Romano

Multilayer Networks: Analysis and Visualization: Introduction to muxViz with R

Multilayer Networks: Analysis and Visualization: Introduction to muxViz with R

Manlio De Domenico

Getting Started with Tableau 2019.2: Effective data visualization and business intelligence with the new features of Tableau 2019.2, 2nd Edition

Getting Started with Tableau 2019.2: Effective data visualization and business intelligence with the new features of Tableau 2019.2, 2nd Edition

Tristan Guillevin

Business Intelligence

Learning Kibana 7: Build powerful Elastic dashboards with Kibana's data visualization capabilities, 2nd Edition

Learning Kibana 7: Build powerful Elastic dashboards with Kibana's data visualization capabilities, 2nd Edition

Anurag Srivastava

Data Visualization

The Tableau Workshop: A practical guide to the art of data visualization with Tableau

The Tableau Workshop: A practical guide to the art of data visualization with Tableau

Sumit Gupta

Data Visualization

IPython Interactive Computing and Visualization Cookbook - Second Edition

IPython Interactive Computing and Visualization Cookbook - Second Edition

Cyrille Rossant

Linked Data Visualization: Techniques, Tools, and Big Data (Synthesis Lectures on the Semantic Web: Theory and Technology)

Linked Data Visualization: Techniques, Tools, and Big Data (Synthesis Lectures on the Semantic Web: Theory and Technology)

Laura Po

Data Visualization

Statistics and Data Visualization Using R: The Art and Practice of Data Analysis

Statistics and Data Visualization Using R: The Art and Practice of Data Analysis

David S. Brown

Tableau Desktop Pocket Reference: Essential Features, Syntax, and Data Visualizations

Tableau Desktop Pocket Reference: Essential Features, Syntax, and Data Visualizations

Ryan Sleeper

Data Visualization

Hands-On Data Visualization: Interactive Storytelling From Spreadsheets to Code

Hands-On Data Visualization: Interactive Storytelling From Spreadsheets to Code

Ilya Ilyankou

Data Visualization

Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist

Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist

Thomas Mailund

Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)

Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)

Ágnes Vathy-Fogarassy

Data Visualization

Making Data: Materializing Digital Information

Making Data: Materializing Digital Information

Ian Gwilt

Data Architecture

Other Authors' Books

Other Publishing Books

Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy

Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy

Vlad Khononov

Software Architecture

CockroachDB: The Definitive Guide: Distributed Data at Scale

CockroachDB: The Definitive Guide: Distributed Data at Scale

Guy Harrison

SQL Server Advanced Troubleshooting and Performance Tuning: Best Practices and Techniques

SQL Server Advanced Troubleshooting and Performance Tuning: Best Practices and Techniques

Dmitri Korotkevitch

Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark

Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark

Akash Tandon

Snowflake: The Definitive Guide: Architecting, Designing, and Deploying on the Snowflake Data Cloud

Snowflake: The Definitive Guide: Architecting, Designing, and Deploying on the Snowflake Data Cloud

Joyce Avila

Cloud Computing

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter

Wes McKinney

Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence

Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence

Bonny P McClain

Efficient Go: Data-Driven Performance Optimization

Efficient Go: Data-Driven Performance Optimization

Bartlomiej Plotka

Software Development

Foundations of Scalable Systems: Designing Distributed Architectures

Foundations of Scalable Systems: Designing Distributed Architectures

Ian Gorton

Software Development

Consul: Up and Running: Service Mesh for Any Runtime or Cloud

Consul: Up and Running: Service Mesh for Any Runtime or Cloud

Luke Kysow

Reliable Machine Learning: Applying SRE Principles to ML in Production

Reliable Machine Learning: Applying SRE Principles to ML in Production

Todd Underwood

Machine Learning

Operating OpenShift: An SRE Approach to Managing Infrastructure

Operating OpenShift: An SRE Approach to Managing Infrastructure

Manuel Dewald

Software Development

User Reviews

Log in first to post a comment

Rating

0

0

0

0

0

average 0

Total votes0