ENGLISH

Loving Common Lisp, or the Savvy Programmer’s Secret Weapon (online version) [4th ed.]

Book information

Publisher
Leanpub
Year
2017
Language
english
Format
PDF
Filesize
1 MB (1094434 bytes)
Pages
96\96
Time added
2019-05-04 13:10:28

Description

Contents......Page 1 Preface......Page 3 Intro......Page 4 Start with SBCL......Page 6 Basics of Lisp Programming......Page 8 Operations on Lists......Page 12 Arrays & Vectors......Page 14 Strings......Page 15 Hash Tables......Page 17 Evaluate Lisp Forms......Page 19 Recovering from Errors......Page 20 Loading Working Environment quickly......Page 21 Defining Lisp Functions......Page 22 Lambda Forms......Page 23 Recursion......Page 24 Quicklisp......Page 25 Quicklisp to find Packages......Page 26 Example Macro......Page 27 macroexpand-1......Page 28 do......Page 29 Common Lisp Package System......Page 30 read & read-line Functions......Page 32 Lisp Printing Functions......Page 34 Plotting Data......Page 35 Example of CLOS Class......Page 36 Implementation of HTMLstream Class......Page 37 Heuristically guided Search......Page 39 Intro to Drakma......Page 42 Intro to Hunchentoot......Page 43 Complete REST Client Server Example Using JSON for Data Serialization......Page 44 Accessing Relational Databases......Page 46 MongoDB, CouchDB & Solr NoSQL Data Stores......Page 48 MongoDB......Page 49 CouchDB......Page 51 A Common Lisp Solr Client......Page 56 NoSQL Wrapup......Page 63 Loading & Running the NLP Library......Page 64 Part of Speech Tagging......Page 66 Categorizing Text......Page 68 Detecting People’s & Place Names......Page 69 Summarizing Text......Page 70 DBPedia Lookup Service......Page 72 Using Apache Nutch......Page 74 CL Machine-Learning Library......Page 75 CLML Data Loading & Access APIs......Page 76 K-Means Clustering of Cancer Data Set......Page 77 SVM Classification of Cancer Data Set......Page 78 Backpropagation Neural Networks......Page 80 Hopfield Neural Networks......Page 87 Tutorial on passing data between Common Lisp and Java......Page 91 Using DeepLearning4j Java Code......Page 93 Book Wrapup......Page 95

Similar books