Verleger: Packt Publishing

Learning Flask Framework. Build dynamic, data-driven websites and modern web applications with Flask

Charles Leifer, Matthew Copperwaite

Learning Force.com Application Development. Use the Force.com platform to design and develop real-world, cutting-edge cloud applications

Chamil Madusanka

If you are a developer who wants to learn how to develop and deploy applications from the Salesforce.com platform, then this book is for you. No prior knowledge of Salesforce is necessary.

Learning Functional Data Structures and Algorithms. Click here to enter text

Atul S. Khot, Raju Kumar Mishra

Functional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs. How do we express traditional algorithms in functional setting? Won’t we end up copying too much? Do we trade performance for versioned data structures? This book attempts to answer these questions by looking at functional implementations of traditional algorithms. It begins with a refresher and consolidation of what functional programming is all about. Next, you’ll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical. Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs (abstract data types). Stacks, Queues, Trees and Graphs are all familiar ADTs. You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation to ensure efficiency.By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications.

Learning Functional Programming in Go. Change the way you approach your applications using functional programming in Go

Lex Sheehan

Lex Sheehan begins slowly, using easy-to-understand illustrations and working Go code to teach core functional programming (FP) principles such as referential transparency, laziness, recursion, currying, and chaining continuations.This book is a tutorial for programmers looking to learn FP and apply it to write better code. Lex guides readers from basic techniques to advanced topics in a logical, concise, and clear progression.The book is divided into four modules. The first module explains the functional style of programming: pure functional programming, manipulating collections, and using higher-order functions. In the second module, you will learn design patterns that you can use to build FP-style applications. In the next module, you will learn FP techniques that you can use to improve your API signatures, increase performance, and build better cloud-native applications. The last module covers Category Theory, Functors, Monoids, Monads, Type classes and Generics.By the end of the book, you will be adept at building applications the FP way.

Learning game AI programming with Lua. Leverage the power of Lua programming to create game AI that focuses on motion, animation, and tactics

David Young

If you are a game developer or a general programmer who wishes to focus on programming systems and techniques to build your game AI without creating low-level interfaces in a game engine, then this book is for you. Knowledge of C++ will come in handy to debug the entirety of the AI sandbox and expand on the features present within the book, but it is not required.

Learning GDScript by Developing a Game with Godot 4. A fun introduction to programming in GDScript 2.0 and game development using the Godot Engine

Sander Vanhove

In the digital landscape driven by interactive experiences, the demand for creative individuals with the skills to create captivating games has never been higher. Written by Sander Vanhove, a seasoned game developer with over 20 games to his credit, this book will serve as your entry point into game development, showing you how to leverage the powerful features of the open-source, versatile GDScript 2.0 to develop your ideas, from simple platformers to complex RPGs.Whether you're an aspiring game developer, a hobbyist seeking a creative outlet, or simply someone intrigued by the world of game programming, this book will guide you through the intricacies of the Godot 4 game engine. Starting with a primer on the fundamentals of programming, you’ll cover everything from data to logic, while familiarizing yourself with Godot’s built-in tools such as the physics engine, navigation, and cameras. As you progress, you’ll unlock deeper insights into more advanced tools that will take your programming to the next level. Aided by easy-to-follow step-by-step tutorials, examples, exercises, and experiments, you’ll seamlessly integrate this newfound knowledge to create a Vampire Survivor-like game from scratch.By the end of this book, you’ll have become proficient in leveraging the Godot 4 game engine to bring your gaming visions to life.

Learning Geospatial Analysis with Python. If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how

Joel Lawhead

Geospatial analysis is used in almost every field you can think of from medicine, to defense, to farming. It is an approach to use statistical analysis and other informational engineering to data which has a geographical or geospatial aspect. And this typically involves applications capable of geospatial display and processing to get a compiled and useful data.Learning Geospatial Analysis with Python uses the expressive and powerful Python programming language to guide you through geographic information systems, remote sensing, topography, and more. It explains how to use a framework in order to approach Geospatial analysis effectively, but on your own terms.Learning Geospatial Analysis with Python starts with a background of the field, a survey of the techniques and technology used, and then splits the field into its component speciality areas: GIS, remote sensing, elevation data, advanced modelling, and real-time data.This book will teach you everything there is to know, from using a particular software package or API to using generic algorithms that can be applied to Geospatial analysis. This book focuses on pure Python whenever possible to minimize compiling platform-dependent binaries, so that you don't become bogged down in just getting ready to do analysis.Learning Geospatial Analysis with Python will round out your technical library with handy recipes and a good understanding of a field that supplements many a modern day human endeavors.

Learning Geospatial Analysis with Python. Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7 - Third Edition

Joel Lawhead

Geospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python.This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data.By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.