4 products were found matching your search for toolchain in 2 shops:

Very Good condition. Shows only minor signs of wear, and very minimal markings inside (if any). 2.35

VEVOR V Bridle Chain, 5/16 in x 2 ft Tow Chain Bridle, Grade 80 V-Bridle Transport Chain, 9260 Lbs Break Strength with TJ Hooks & Grab Hooks, Heavy Duty Pear Link Connector and Chain ShortenersExcellent Rated CapacityThoughtful Design15 x 6 In Large J HookAn Extra ShackleHeavy Duty G80 V-ChainMultifunctional ToolChain Size: 23.6 x 0.3 in / 0.6 m x 8 mm,J Hook Size: 15 x 6 in / 38 x 15 cm,Model: 4.3 ft V Bridle Chain,Material: G80 Mn-steel, Alloy Steel,T Hook Size: 3.9 x 2.4 in / 10 X 6 cm,Item Weight: 16.1 lbs / 7.3 kg,Working Load Limit: 9260 lbs / 4.2 t,Product Size: 4.3 ft x 6 in / 1.3 m x 15 cm

This book contains the practical labs corresponding to the "Embedded Linux System Development: Training Handouts" book from Bootlin. Get your hands on an embedded board based on an ARM processor (the Atmel/Microchip SAMA5D3 Xplained board), and apply what you learned to: make you own cross-compiling toolchain, compile and install your bootloader and Linux kernel, make a custom root filesystem, manage your storage in an efficient and reliable way, cross-compile extra open-source component together with your own applications, implement real-time requirements so that you can quickly turn your ideas into a working prototype!

Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript libraries—including Scrapy, Matplotlib, Pandas, Flask, and D3—for crafting engaging, browser-based visualizations.As a working example, throughout the book Dale walks you through transforming Wikipedia’s table-based list of Nobel Prize winners into an interactive visualization. You’ll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScript’s D3 library. If you’re ready to create your own web-based data visualizations—and know either Python or JavaScript— this is the book for you.Learn how to manipulate data with PythonUnderstand the commonalities between Python and JavaScriptExtract information from websites by using Python’s web-scraping tools, BeautifulSoup and ScrapyClean and explore data with Python’s Pandas, Matplotlib, and Numpy librariesServe data and create RESTful web APIs with Python’s Flask frameworkCreate engaging, interactive web visualizations with JavaScript’s D3 library