Open source and other operating systems

Use ensemble learning techniques and models to improve your machine learning results.

Are you a Unity developer looking to switch to the Godot engine quickly?

Master the booting procedure of various operating systems with in-depth analysis of bootloaders and firmware.

William "e;Bo"e; Rothwell's Advanced Perl Programming continues where his previous book left off, more or less, as it guides you through advanced techniques of the Perl programming language starting with command-line options, references, and arrays and hashes from advanced data types.

Learn GUI application development from the ground up, taking a practical approach by building simple projects that teach the fundamentals of using PyQt.

Understand and implement big data analysis solutions in pandas with an emphasis on performance.

Apply computer vision and machine learning concepts in developing business and industrial applications ?

This book builds on basic Python tutorials to explain various Python language features that aren't routinely covered: from reusable console scripts that play double duty as micro-services by leveraging entry points, to using asyncio efficiently to collate data from a large number of sources.

Analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud.

Follow a step-by-step, hands-on approach to building production-ready enterprise cognitive virtual assistants using Google Dialogflow.

Become an effective cyber forensics investigator and gain a collection of practical, efficient techniques to get the job done.

Use Java to develop neural network applications in this practical book.

Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach.

Implement natural language processing applications with Python using a problem-solution approach.

Build practical applications of computer vision using the OpenCV library with Python.

Understand how and why the separation between layers and tiers in service-oriented architectures holds software developers back from being truly productive, and how you can remedy that problem.

Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python.

Examine the latest technological advancements in building a scalable machine-learning model with big data using R.

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining.

Learn about bot programming, using all the latest and greatest programming languages, including Python, Go, and Clojure, so you can feel at ease writing your Telegram bot in a way that suits you.

Build Angular applications faster and better with TypeScript and Material Design.

Start with the basics of bug hunting and learn more about implementing an offensive approach by finding vulnerabilities in web applications.

Discover the pillars of AWS infrastructure automation, starting with API-driven infrastructure concepts and its immediate benefits such as increased agility, automation of the infrastructure life cycle, and flexibility in experimenting with new architectures.

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice.

Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world.

Explore microservices using the Python-based Django framework and review the benefits and drawbacks of them.

Immerse yourself in learning Python and introductory data analytics with this book s project-based approach.

Discover the 3D-modeling and animation power of Blender 3D.

Obtain all the necessary tools for developing a progressive web application (PWA) with Vue.

Learn software engineering from scratch, from installing and setting up your development environment, to navigating a terminal and building a model command line operating system, all using the Scala programming language as a medium.

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection.

Discover how to write manuscripts in Markdown and translate them with Pandoc into different output formats.

Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python.

Use this book to write an Ethereum Blockchain Smart Contract, test it, deploy it, and create a web application to interact with your smart contract.

Become a Linux sysadmin and expert user of Linux, even with no previous Linux experience and learn to manage complex systems with ease.

Develop RESTful web services using the Flask micro-framework and integrate them using MySQL.

Design and architect resilient OpenShift clusters and gain a keen understanding of how hundreds of projects are integrated into a powerful solution.

Develop and optimize deep learning models with advanced architectures.

Explore what Flutter has to offer, where it came from, and where it's going.

Leverage machine and deep learning models to build applications on real-time data using PySpark.

Start building Python-based Android applications using Kivy with Android Studio.

Explore fundamental to advanced Python 3 topics in six steps, all designed to make you a worthy practitioner.

Get your feet wet in developing visual novels and take a guided tour through easy to follow tutorials using three of the most popular tools (Ren'Py, TyranoBuilder, and Twine).

Get the most out of MongoDB using a problem-solution approach.

Discover the essential concepts of libvirt development and see how to interface to Linux virtualization environments, such as QEMU/KVM, XEN, Virtuozzo, VMWare ESX, LXC, Bhyve, and more.

Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods.

Gain the key language concepts and programming techniques of Scala in the context of big data analytics and Apache Spark.

Treat yourself to a lively, intuitive, and easy-to-follow introduction to computer programming in Python.

Experience an in-depth exploration of logical volume management and the use of file managers to manipulate files and directories and the critical concept that, in Linux, everything is a file and some fun and interesting uses of the fact that everything is a file.

Build an in-depth understanding of the Istio service mesh and see why a service mesh is required for a distributed application.