Books

Quickly learn how to create 19 online games using Construct2 or Construct3. This student's workbook is tailored for both the novice and advanced game designers Workshop attendees. Use these lessons to build 17+ Construct games from this single Game Mechanics. Instructor package includes presentation slide, online course access and Instructor guide.

Quickly learn how to create 10 online games using Construct2 or Construct3. This student's workbook is tailored for both the novice and advanced game designers Workshop attendees. Use these lessons to build 10 Construct games from this single Game Mechanics. Instructor package includes presentation slide, online course access and Instructor guide.

This expanded chapter from the Construct Starter Kit Collection leads you through "White Labeled" Role Playing Game development. This tutorial uses both Construct3 & Construct2 encoding. It supplies client-side & php "back-end" encoding. These advanced "full-stack" development topics are for anyone interested in RPG "trade-secrets" development.

This is a single chapter from the Construct Starter Kit Collection. This chapter leads you through Collapsing Blocks (aka "Same Game") development. This tutorial has both Construct v3 & v2 encoding. It's perfect for novices, experienced web developers, and just anyone wanting their own bespoke game, artwork, and features.

Want to use sensors in your next Raspberry Pi Pico but don't know which sensor to use, how to connect it or how to use it in your code? This book is for you! Here you will find detailed explanations of how sensors work, how to connect them to the Pi Pico and how to use them in C/C++, MicroPython and CircuitPython.

Kata, palabra japonesa que representa una secuencia de movimientos establecidos que se realizan con la finalidad de perfeccionar una técnica. Esta referencia quiero transmitirla a ustedes en el ámbito del desarrollo frontend, intentando crear una serie de conceptos y técnicas que deben adquirirse y perfeccionarse por cada nivel de aprendizaje.

"Antlers: Building Beautiful Websites with Statamic" approaches Statamic website development through the lens of the Antlers templating language. Written by the creator of Antlers Runtime and Antlers Toolbox, this book covers common tasks, strings, loops, nuanced language features, and more to make you more productive building Statamic websites.

This book will be a lot of programming and describing the most popular design of patterns. In this book, I tried to focus more on the implementation concept of how and with what vision it is necessary to approach the creation of a test framework and an architecture.

Quickest Markdown Tutorial for Technical Writing.

You will learn that NumPy has very efficient arrays that are easy to use due to the powerful indexing mechanism. This book describes some of the more advanced and tricky indexing techniques.Also we will try to make an attempt to document the most essential methods that every user should know. NumPy has many methods to even mention in this book!

In this book, there will be a large number of examples and descriptions of approaches to solving some problems in test automation. In this book, I have tried to focus more on the concept of how to use the strengths and weaknesses of Selenium WebDriver.

This book will be a lot of programming and describing patterns. I tried to create instructions on how to write code for API testing. In this book, I tried to focus more on the concept of how and with what vision it is necessary to approach the testing of an API.

Most data science programs teach the math. Almost none teach you how to set up your machine, structure a project, or make your work reproducible. This book is the missing half, distilled from a decade of hard-won lessons into a short guide you can read in a weekend.

A book about D programming language or DLang for Python programmers. “There is no best programming language”, they say. There is, for most applications it is D. The book starts from a comparison of D to Python and teaches all important features of D. D has all the features of Python but speed comparable to C and reliability comparable to Ada!

Learn how to implement various feature selection methods in a few lines of code and train faster, simpler, and more reliable machine learning models. Using Python open-source libraries, you will learn how to find the most predictive features from your data through filter, wrapper, embedded, and additional feature selection methods.