Open source and other operating systems

Use Traefik as a load balancer or a reverse proxy for microservices-based architecture.

Gain a thorough knowledge of Lucene's capabilities and use it to develop your own search applications.

Learn the skills to complete the full installation, configuration, and maintenance of an enterprise class internet server, no matter what Unix-like operating system you prefer.

Write your first code in Java 17 using simple, step-by-step examples that model real-word objects and events, making learning easy.

Know the basics of network security services and other stateful services such as NAT, gateway and distributed firewalls (L2-L7), virtual private networks (VPN), load balancing (LB), and IP address management.

Learn to integrate programming with good documentation.

Increasingly, business leaders are either looking to start a new developer program at their company or looking to increase the impact of their existing DevRel program.

Discover how to create a simple game environment in Blender 3D, from modeling and texturing game assets, to placing them in a scene.

Discover the functioning and example uses of the Common Lisp condition system.

Gain the skills to begin developing Raku applications from the ground up in this hands-on compact book, which includes a foreword from Larry Wall, creator of Perl.

Apply machine and deep learning to solve some of the challenges in the oil and gas industry.

Get a quick start to learn, understand, and apply GNU Octave using a math- and programming-friendly approach.

Learn what you need to succeed as a developer beyond the code.

Become productive with seamless interoperability between Windows and the Linux subsystem, and understand the problems that Windows Subsystem for Linux (WSL) solves.

Learn command line tricks, programs, and hacks you can use day to day as a Linux user, programmer, and system administrator.

Learn the concepts of time series from traditional to bleeding-edge techniques.

This book has accompanying online files for Angular 9, 10 and 11; all examples in the book work without changes in Angular 10 or 11.

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.