LEADER 02362oam 2200601 450 001 9910703587203321 005 20150603151053.0 035 $a(CKB)5470000002431825 035 $a(OCoLC)890826510 035 $a(EXLCZ)995470000002431825 100 $a20140918j201404 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUser's guide to SILVAH $ea stand analysis, prescription, and management simulator program for hardwood stands of the Alleghenies /$fPeter D. Knopp and Susan L. Stout 210 1$aNewtown Square, Pa :$cU.S. Forest Service, Northern Research Station,$dApril 2014. 215 $a1 online resource (122 pages) $cillustrations 225 1 $aGeneral technical report NRS ;$v128 300 $aTitle from title screen (viewed Apr. 13, 2015). 300 $aCover title. 300 $a"April 2014." 300 $a"This user's guide for the SILVAH computer program, version 6.2, supersedes the 1992 user's guide (Gen. Tech. Rep. NE-162)"--page 2 of cover. 320 $aIncludes bibliographical references (pages 118-120) and index. 517 $aUser's guide to SILVAH 606 $aComputer programs$vHandbooks, manuals, etc 606 $aHardwoods$zAllegheny Mountains$xComputer programs$vHandbooks, manuals, etc 606 $aForest management$zAllegheny Mountains$xComputer programs$vHandbooks, manuals, etc 606 $aForest management$xComputer programs$2fast 606 $aHardwoods$xComputer programs$2fast 607 $aUnited States$zAllegheny Mountains$2fast 608 $aHandbooks, manuals, etc.$2fast 608 $aHandbooks and manuals.$2lcgft 615 0$aComputer programs 615 0$aHardwoods$xComputer programs 615 0$aForest management$xComputer programs 615 7$aForest management$xComputer programs. 615 7$aHardwoods$xComputer programs. 700 $aKnopp$b Peter D.$01404582 702 $aStout$b Susan L$g(Susan Laurane), 712 02$aUnited States.$bForest Service.$bNorthern Research Station, 801 0$bORE 801 1$bSTF 801 2$bORE 801 2$bOCLCF 801 2$bCOO 801 2$bOCLCO 801 2$bGPO 906 $aBOOK 912 $a9910703587203321 996 $aUser's guide to SILVAH$93503048 997 $aUNINA LEADER 03828nam 2200445 450 001 9910819537503321 005 20240108183434.0 035 $a(CKB)4110000000007779 035 $a(Au-PeEL)EBL5379703 035 $a(CaPaEBR)ebr11554652 035 $a(OCoLC)1035517229 035 $a(CaSebORM)9781788629874 035 $a(MiAaPQ)EBC5379703 035 $a(EXLCZ)994110000000007779 100 $a20180615d2018 uy 0 101 0 $aeng 135 $aurcn####||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRaspberry Pi 3 cookbook for Python programmers $eunleash the potential of Raspberry Pi 3 with over 100 recipes /$fTim Cox, Dr. Steven Lawrence Fernandes 205 $aThird edition. 210 1$aBirmingham :$cPackt,$d2018. 215 $a1 online resource (552 pages) 311 $a1-78862-987-6 330 $aA recipe-based guide to programming your Raspberry Pi 3 using Python About This Book Leverage the power of Raspberry Pi 3 using Python programming Create 3D games, build neural network modules, and interface with your own circuits Packed with clear, step-by-step recipes to walk you through the capabilities of Raspberry Pi Who This Book Is For This book is for anyone who wants to master the skills of Python programming using Raspberry Pi 3. Prior knowledge of Python will be an added advantage. What You Will Learn Learn to set up and run Raspberry Pi 3 Build text classifiers and perform automation using Python Predict sentiments in words and create games and graphics Detect edges and contours in images Build human face detection and recognition system Use Python to drive hardware Sense and display real-world data Build a neural network module for optical character recognition Build movie recommendations system In Detail Raspberry Pi 3 Cookbook for Python Programmers ? Third Edition begins by guiding you through setting up Raspberry Pi 3, performing tasks using Python 3.6, and introducing the first steps to interface with electronics. As you work through each chapter, you will build your skills and apply them as you progress. You will learn how to build text classifiers, predict sentiments in words, develop applications using the popular Tkinter library, and create games by controlling graphics on your screen. You will harness the power of a built in graphics processor using Pi3D to generate your own high-quality 3D graphics and environments. You will understand how to connect Raspberry Pi's hardware pins directly to control electronics, from switching on LEDs and responding to push buttons to driving motors and servos. Get to grips with monitoring sensors to gather real-life data, using it to control other devices, and viewing the results over the internet. You will apply what you have learned by creating your own Pi-Rover or Pi-Hexipod robots. You will also learn about sentiment analysis, face recognition techniques, and building neural network modules for optical character recognition. Finally, you will learn to build movie recommendations system on Raspberry Pi 3. Style and approach Written in a cookbook style, this book contains a series of recipes on various topics. It is an easy-to-follow step-by-step guide with examples of feature integration suitable for any search application. 606 $aRaspberry Pi (Computer)$xProgramming 606 $aPython (Computer program language) 615 0$aRaspberry Pi (Computer)$xProgramming. 615 0$aPython (Computer program language) 676 $a794.81526 700 $aCox$b Tim$01098136 702 $aFernandes$b Steven L. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910819537503321 996 $aRaspberry Pi 3 cookbook for Python programmers$94113287 997 $aUNINA