Found insideThis book is published open access under a CC BY 4.0 license. Over the past decades, rapid developments in digital and sensing technologies, such as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. This anthology of essays from the inventor of literate programming includes Knuth's early papers on related topics such as structured programming, as well as the Computer Journal article that launched literate programming itself. Found inside – Page iThis textbook on Python programming is meant for all interested people in Python- from beginners to those seeking to graduate to the advanced level, researchers, professionals, aspiring data analysts and data visualizers. Found inside – Page iWhat You'll Learn Understand the core concepts of data analysis and the Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image analysis Examine popular ... Found inside – Page 196A fun, project-based guide to learning Python 3 while building real-world ... Jupyter. Finally, there is Jupyter. We're familiar with this tool already, ... Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists. Found insideUnderstand, evaluate, and visualize data About This Book Learn basic steps of data analysis and how to use Python and its packages A step-by-step guide to predictive modeling including tips, tricks, and best practices Effectively visualize ... Found insideKey Features: Convert static ggplot2 graphics to an interactive web-based form Link, animate, and arrange multiple plots in standalone HTML from R Embed, modify, and respond to plotly graphics in a shiny app Learn best practices for ... Found inside – Page 172JavaScript, warning about, 99 JSON-based HTML, interactivity with, 57 Jupyter Notebooks, Python, 49 online tutorial with, 57 origins of, 6, ... Thorough enough to offer valuable counsel to those already working with GIS & RS, yet presupposing no knowledge of computing, the book takes readers step by step from the simplest hows & whys all the way to the architecture, implementation, ... Year two of this fresh, timely, beautiful addition to the Best American series, introduced by Nate Silver The rise of infographics across virtually all print and electronic media reveals patterns in our lives and worlds in fresh and ... If you want to explore the complete range of PostGIS techniques and expose the related extensions, then this book is for you. This is a tutorial-style book that helps you to perform Geospatial and GIS analysis with Python and its tools/libraries. Found inside – Page 1Once you’ve mastered these techniques, you’ll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Found insideSpatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language. Found inside – Page 157If you open a Leaflet GeoJSON file (see https://leafletjs.com), ... Brian Granger, “Project Jupyter: From Computational Notebooks to Large Scale Data ... Found insideIn this book, you'll cover different ways of downloading financial data and preparing it for modeling. Found inside – Page iThis book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross ... Found inside – Page 338... 260, 262, 263, 271 ipynb 276–278, 337 ipython 32, 34, 37, 58–60, 257–259, ... 317 LaTex 21 lattice 156, 304, 307 lazyeval 326 leaflet 247 len 51, 56, ... Found inside – Page 4-101Das Handbuch für den Einsatz von IPython, Jupyter, NumPy, Pandas, ... Moderne Lösungen wie die Leaflet-Bibliothek oder die API für Google Maps sind für ... Found insideThis book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels. After reading this book, you’ll have the solid foundation you need to start a career in data science. Helpful tips: If you are able to search the book, search for "Where are the lesson files?" Go to the very last page of the book and scroll backwards. Found inside – Page 229First, we show a simple example of ipyleaflet, which offers a Python interface to use the Leaflet.js interactive mapping library ... Found inside – Page 228It tends to be utilized in Python and IPython shells, Jupyter note pad and ... to make a Leaflet web map from scratch with Python and the Folium library. This book presents the latest findings on one of the most intensely investigated subjects in computational mathematics--the traveling salesman problem. Found inside – Page iWho This Book Is For IT professionals, analysts, developers, data scientists, engineers, graduate students Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Found inside – Page 138... see the Leaflet.js tutorials at: https://leafletjs.com/examples.html. ... Notebook tutorial: www.datacamp.com/community/tutorials/tutorial-jupy ter- ... Python comes with many libraries and tools that help you work on geoprocessing tasks without investing in expensive tools. This book introduces you to new libraries that perform geospatial and statistical analysis and data management. Found inside – Page 175... Python objects, introspecting 53 Python scripts, running from IPython 51, ... Leaflet about 134 folium 134 mplleaflet 134 references 134 libdynd URL 155 ... Found insideEffective Python will help students harness the full power of Python to write exceptionally robust, efficient, maintainable, and well-performing code. Found insideThis book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share, scientific applications. Satellite Earth observation (EO) data have already exceeded the petabyte scale and are increasingly freely and openly available from different data providers. Found inside – Page iAbout the book Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Get started using a dataset based on the Toronto transit system. It explains how to accurately reproduce a scientific result. Divided into three parts, the book discusses the tools, practices, and dissemination platforms for ensuring reproducibility in computational science. Found insideOver 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python About This Book Explore the practical process of using geospatial analysis to solve simple to complex problems with reusable recipes ... Found insideThis practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats—by using Python. The role open-source geospatial software plays in data handling within the spatial information technology industry is the overarching theme of the book. Found inside – Page 106... for developing web-based applications Python back-end based Leaflet ... Yes High Active Yes https://rstudio.githubio/shinydashboard/ Jupyter dashboard 0 ... Found insideIn this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ... This updated edition describes both the mathematical theory behind a modern photorealistic rendering system as well as its practical implementation. Found insideYou can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub. Found insideThe professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to ... Tools, practices, and dissemination platforms for ensuring reproducibility in computational science into three parts, the book search! 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