Related Books

Pragmatic Guide to Git
Language: en
Pages: 160
Authors: Travis Swicegood
Categories: Computers
Type: BOOK - Published: 2010-11-15 - Publisher: Pragmatic Bookshelf

Need to learn how to wrap your head around Git, but don't need a lot of hand holding? Grab this book if you're new to Git, not to the world of programming. Git tasks displayed on two-page spreads provide all the context you need, without the extra fluff.
Pragmatic Guide to Subversion
Language: en
Pages: 150
Authors: Mike Mason
Categories: Computers
Type: BOOK - Published: 2010-11-28 - Publisher: Pragmatic Bookshelf

Subversion is the most popular open-source version control system on the planet. Development teams-big and small, enterprise and open source-use this fast, feature-rich tool daily. Pragmatic Guide to Subversion presents the 48 essential tasks you need to know. It's your shortcut to the Subversion master's recommended set of best practices.
Xcode Treasures
Language: en
Pages: 276
Authors: Chris Adamson
Categories: Computers
Type: BOOK - Published: 2018-10-22 - Publisher: Pragmatic Bookshelf

Learn the critical tips and techniques to make using Xcode for the iPhone, iPad, or Mac easier, and even fun. Explore the features and functionality of Xcode you may not have heard of. Go under the hood to discover how projects really work, so when they stop working, you'll know
Learning Neo4j
Language: en
Pages: 222
Authors: Rik Van Bruggen
Categories: Computers
Type: BOOK - Published: 2014-08-25 - Publisher: Packt Publishing Ltd

This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily.
Generatives Deep Learning
Language: de
Pages: 310
Authors: David Foster
Categories: Computers
Type: BOOK - Published: 2020 - Publisher:

Generative Modelle haben sich zu einem der spannendsten Themenbereiche der Künstlichen Intelligenz entwickelt: Mit generativem Deep Learning ist es inzwischen möglich, einer Maschine das Malen, Schreiben oder auch das Komponieren von Musik beizubringen - kreative Fähigkeiten, die bisher dem Menschen vorbehalten waren. Mit diesem praxisnahen Buch können Data Scientists einige