Programming and scripting languages: general

Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software.

Introduction: Elevate Your Analytics with PythonIn today's data-driven world, the ability to efficiently analyze and interpret information is more crucial than ever, especially in the business sector.

Stop Trying to Learn C# the Hard way.

Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference.

First Edition, Published in February 2022In this book, the fifth book in the series, you will become comfortable with creating your own RPG.

Learn to automate tasks, develop custom extensions, and procedurally generate meshes in Blender.

Let's Play with ExcelWhat can you really make Excel do with VBA?

Understand and implement data structures and bridge the gap between theory and application.

Master AI, machine learning, and deep learning with practical insights into RNNs, LSTMs, NLP, and reinforcement learning.

Master AI, machine learning, and deep learning with practical insights into RNNs, LSTMs, NLP, and reinforcement learning.

This book covers ARM64 assembly language programming in a textbook style format.

This book is basically designed for those who are interested in learning new things.

Already popular among programmers for its memory safety and speed, the Rust programming language is also valuable for asynchrony.

Comprehensive guide to mastering Python and machine learning, with hands-on examples and practical projects.

C++ How to Program: An Objects-Natural Approach is a code-intensive, modular introduction to C++ programming.

In this book, Kajikawa and Okamoto explain how to use Python to calculate and visualize the optical response of microscopic structures and systems.

Harness the capabilities of Python and gain the expertise need to master data science techniques.

C# is undeniably one of the most versatile programming languages available to engineers today.

Unlike other books about R, written from the perspective of statistics, this book is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R.

This work was prepared to serve as an R supplement for textbooks on Linear Statistical Models.

Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics.

Learn C++ game programming through real-world demos of AI systems, animation, and rendering to build scalable, high-performance games using patterns you can reuse across any game engineFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesBuild real-time 2D and 3D games using C++ with practical, executable examplesGain proficiency in game programming domains like AI pathfinding, camera systems, animation, and rendering effectsBoost runtime efficiency with object pooling, LOD patterns, and terrain partitioning to create smoother, more responsive gameplay systems*Email sign-up and proof of purchase requiredBook DescriptionCreating responsive, intelligent games takes more than just following engine tutorials.

Gain a fundamental understanding of Python's syntax and features with this revised introductory and practical reference.

A comprehensive guide to mastering data structures and program design using Python, perfect for self-learners and students alike.

A comprehensive guide to mastering data structures and program design using Python, perfect for self-learners and students alike.

Python's simplicity and versatility make it an ideal language for both beginners and experienced programmers.

This book is among the first books to provide an in-depth look at how to implement Python with Maya,.

Introduction to Python for Science and Engineering offers a quick and incisive introduction to the Python programming language for use in any science or engineering discipline.

C++ is famous for getting all the default behaviors wrong and for sometimes making demons fly out of your nose.

Frama-C is a popular open-source toolset for analysis and verification of C programs, largely used for teaching, experimental research, and industrial applications.