BOOKS - PROGRAMMING - javascript and Open Data
javascript and Open Data - Robert Jeansoulin 2018 PDF Wiley-ISTE BOOKS PROGRAMMING
ECO~14 kg CO²

1 TON

Views
71479

Telegram
 
javascript and Open Data
Author: Robert Jeansoulin
Year: 2018
Pages: 272
Format: PDF
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Data Analytics for Absolute Beginners A Deconstructed Guide to Data Literacy, Second Edition
Data Quality Engineering in Financial Services Applying Manufacturing Techniques to Data
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights
Data Mesh Delivering Data-Driven Value at Scale (Third Early Release)
Data Wrangling on AWS: Clean and organize complex data for analysis
The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R
Python Data Science Handbook: Essential Tools for Working with Data
Data and AI Driving Smart Cities (Studies in Big Data, 128)
The Visual Organization Data Visualization, Big Data, and the Quest for Better Decisions
Multi-dimensional Urban Sensing Using Crowdsensing Data (Data Analytics)
Python Data Science Handbook Essential Tools for Working with Data
Data Visualisation A Handbook for Data Driven Design 2nd Edition
Data as a Service A Framework for Providing Reusable Enterprise Data Services
Introduction to Data Science Data Wrangling and Visualization with R, 2nd Edition
Data Analytics and Machine Learning Navigating the Big Data Landscape
Data Analytics and Machine Learning Navigating the Big Data Landscape
R for Data Science Import, Tidy, Transform, Visualize, and Model Data
I Heart Logs Event Data, Stream Processing, and Data Integration
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Network Security through Data Analysis From Data to Action, 2nd Edition
Effective Data Science Infrastructure How to Make Data Scientists Productive
Data Mining and Exploration From Traditional Statistics to Modern Data Science
Foundations for Architecting Data Solutions Managing Successful Data Projects
Agile Data Science Building Data Analytics Applications with Hadoop
Behavioral Data Analysis with R and Python Customer-Driven Data for Real Business Results
Humanities Data in R Exploring Networks, Geospatial Data, Images, and Text, 2nd Edition
Effective Data Science Infrastructure How to make data scientists productive (MEAP Version 7)
The Self-Service Data Roadmap Democratize Data and Reduce Time to insight (Early Release)
Python for Data Analysis Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition
Data Centric Artificial Intelligence: A Beginner|s Guide (Data-Intensive Research)
Data Science Essentials with R Learn with focus on data manipulation, visualization, and machine learning
Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
Big Data, Data Mining, and Machine Learning Value Creation for Business Leaders and Practitioners
The Data Preparation Journey: Finding Your Way with R (Chapman and Hall CRC Data Science Series)
Tableau for Salesforce Visualise data and generate insights with the leading platforms for data analytics
SQL for Data Analysis Advanced Techniques for Transforming Data into Insights (Early Release)
Data Universe Organizational Insights with Python Embracing Data Driven Decision Making
Data Universe Organizational Insights with Python Embracing Data Driven Decision Making
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)