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Lubanovic Bill: Introducing Python

Introducing Python

Modern Computing in Simple Packages

On today's web, performance isn't just a nice-to-have--it's essential. A slow or unstable experience drives users away, while a fast, reliable one builds trust and keeps them engaged. Web Performance Engineering in the Age of AI is a comprehensive, hands-on guide for developers, technical leads, and performance engineers focused on delivering high-impact, user-first web experiences. Written by Addy Osmani, director at Google Cloud AI, this book combines deep technical insight with a strong emphasis on usability and real-world effectiveness. Through case studies, modern optimization techniques, and a user-centered approach, you'll learn how to identify bottlenecks, debug performance issues, and apply improvements that make a measurable difference. Grounded in current browser internals and performance metrics, this book prepares you to design and maintain faster, more resilient websites at scale. <ul> <li>Understand how users perceive speed--and why it matters</li> <li>Evaluate and improve performance using key metrics</li> <li>Optimize for stability, responsiveness, and load time</li> <li>Identify and address the most common performance bottlenecks</li> <li>Apply real-world strategies that lead to lasting results</li> </ul>

Mastering Speed and Quality for Ai-Generated Applications

Web Performance Engineering in the Age of AI

DK Complete Courses

Learning to code has never been easier than with this innovative visual guide to computer programming for beginners. In our digital world, coding skills are in high demand and the need for programmers is still growing. Taking the first steps in learning to code may seem daunting but by using a graphic method to break code into small chunks, this book brings essential skills easily within reach. Each chapter explores one of the most popular languages, with practical programming projects to show you how programming works. You'll learn to think like a programmer by breaking a problem down into parts, before turning those parts into lines of code. Short, easy-to-follow steps then show you, piece by piece, how to build a complete program. There are challenges for you to tackle to build your confidence before moving on. Written by a team of expert coders and coding teachers, the Beginner's Step-by-Step Coding Course is the ideal way to get to grips with coding.

Learn Computer Programming the Easy Way

Beginner's Step-by-Step Coding Course

Build a more secure network with PF. The OpenBSD packet filter, PF, is central to the OpenBSD and FreeBSD network toolbox. With more services placing high demands on bandwidth and an increasingly hostile Internet environment, no sysadmin can afford to be without PF expertise. The fourth edition of The Book of PF covers the most up-to-date developments in PF, including new content on IPv6, dual stack configurations, the “queues and priorities” traffic-shaping system, NAT and redirection, wireless networking, spam fighting, failover provisioning, logging, and more.&nbsp; You’ll also learn how to: <ul><li>Create rulesets for all kinds of network traffic, IPv4 and IPv6 both, whether crossing a simple LAN, hiding behind NAT, traversing DMZs, or spanning bridges or wider networks</li><li>Set up wireless networks with access points, and lock them down using authpf and special access restrictions</li><li>Maximize flexibility and service availability via CARP, relayd, and redirection</li><li>Build adaptive firewalls to proactively defend against attackers and spammers</li><li>Harness OpenBSD’s latest traffic-shaping system to keep your network responsive, or use ALTQ and Dummynet configurations on FreeBSD to full effect</li><li>Stay in control of your traffic with monitoring and visualization tools (including NetFlow)</li></ul> The Book of PF is the essential guide to building a secure network with PF. With a little effort and this book, you’ll be well prepared to unlock PF’s full potential. Covers OpenBSD 7.x, FreeBSD 14.x, and NetBSD 10.x

Build a more secure network with PF. The OpenBSD packet filter, PF, is central to the OpenBSD and FreeBSD network toolbox. With more services placing high demands on bandwidth and an increasingly hostile Internet environment, no sysadmin can afford to be without PF expertise. The fourth edition of The Book of PF covers the most up-to-date developments in PF, including new content on IPv6, dual stack configurations, the “queues and priorities” traffic-shaping system, NAT and redirection, wireless networking, spam fighting, failover provisioning, logging, and more.&nbsp; You’ll also learn how to: <ul><li>Create rulesets for all kinds of network traffic, IPv4 and IPv6 both, whether crossing a simple LAN, hiding behind NAT, traversing DMZs, or spanning bridges or wider networks</li><li>Set up wireless networks with access points, and lock them down using authpf and special access restrictions</li><li>Maximize flexibility and service availability via CARP, relayd, and redirection</li><li>Build adaptive firewalls to proactively defend against attackers and spammers</li><li>Harness OpenBSD’s latest traffic-shaping system to keep your network responsive, or use ALTQ and Dummynet configurations on FreeBSD to full effect</li><li>Stay in control of your traffic with monitoring and visualization tools (including NetFlow)</li></ul> The Book of PF is the essential guide to building a secure network with PF. With a little effort and this book, you’ll be well prepared to unlock PF’s full potential. Covers OpenBSD 7.x, FreeBSD 14.x, and NetBSD 10.x

A No-Nonsense Guide to the OpenBSD Firewall

The Book of PF, 4th Edition

A no-nonsense guide to all the essentials you’ll need to become a TypeScript wizard and build a TypeScript application from scratch. “An invaluable resource to countless developers.” —Ryan Cavanaugh, Development Lead Microsoft TypeScript Team TypeScript makes JavaScript safer and your editor smarter. Matt Pocock’s Total TypeScript courses have trained thousands of developers by putting the editor first: You learn types by watching what TypeScript tells you, not by memorizing rules. This book brings that method to print. You’ll start by setting up a proper TypeScript environment, then immediately begin writing and annotating code. Each chapter builds on the last—primitive types to unions, objects to classes, basic generics to type transformations—with exercises woven throughout as checkpoints, not afterthoughts. Later chapters tackle what takes longer to learn: deriving types from other types, writing type predicates and assertion functions, configuring the compiler for real projects, and building type architectures that don’t collapse under their own weight. You’ll learn to: <ul><li>Read TypeScript’s error messages and use your editor as a teaching tool</li><li>Write precise types for objects, functions, and classes</li><li>Use unions, narrowing, and generics to make types flexible without losing safety</li><li>Derive and transform types so you don’t repeat yourself</li><li>Configure tsconfig.json for React, Node, or library development</li></ul> This is a workshop in print. The one Matt Pocock has been refining for years.

A no-nonsense guide to all the essentials you’ll need to become a TypeScript wizard and build a TypeScript application from scratch. If you're an experienced JavaScript developer or want to level up your current TypeScript skills, with Total TypeScript, you'll learn everything you need to build a TypeScript product from scratch. Based on a series of sold-out workshops, the material in Total TypeScript has been tested by hundreds of developers to ensure their effectiveness and value. You'll explore useful patterns you can immediately apply in your projects and helpful workarounds for TypeScript’s most common pitfalls. Dozens of exercises throughout range from writing solutions from scratch to advanced typing to debugging, so you'll be prepared for the gotchas that appear in real-world applications. You'll also learn how to: <ul><li>Set up a TypeScript development environment and how to leverage its superpower IDE.&nbsp;</li><li>Add types to functions, arrays, and objects, and make reusable types with type aliases</li><li>Express object types, including index signatures, Records, and interfaces</li><li>Take advantage of classic object-oriented patterns in your code</li><li>Configure TypeScript for any situation and powerful features to design your own types</li></ul> With this straightforward and approachable guide, you'll go from learning the foundations to a TypeScript wizard equipped to handle any TypeScript project that comes your way with confidence.

Total Typescript

Despite recent advances in technology, software developers, enterprise users, and business technologists still spend much of their time performing repetitive manual tasks. This cookbook shows you how to level up your automation skills with Power Automate to drive efficiency and productivity within your organization. Author Ahmad Najjar provides recipes to help you complete common tasks and solve a wide range of issues you'll encounter when working with Power Automate. This cookbook guides you through fundamental concepts as well as basic-to-intermediate Power Automate activities--everything from understanding flow components to automating approvals, building on-demand flows, and integrating Power Automate with other applications and services. You'll also learn how Microsoft 365 services correlate and integrate with Power Automate. <ul> <li>Use Power Automate to create a standard workflow </li><li>Integrate Power Automate with other applications and services </li><li>Leverage other Power Platform tools with Power Automate </li><li>Use Power Automate to work with files and build basic business process flows </li><li>Send notifications and reminders using Power Automate </li><li>Trigger workflows on demand
</li></ul>

Automating Business Processes Easily, Intuitively, and Quickly

Microsoft Power Automate Cookbook

This text offers a comprehensive introduction to data science and financial technology, with a focus on advanced tools, data modeling, and their applications in FinTech. Adopting an inquiry-based approach, it integrates detailed case studies, clear definitions of financial terms, and practical examples to guide readers through core concepts.

Models, Tools, and Case Studies

Applied Data Science in FinTech

Unlock the power of Polars, a Python package for transforming, analyzing, and visualizing data. In this hands-on guide, Jeroen Janssens and Thijs Nieuwdorp walk you through every feature of Polars, showing you how to use it for real-world tasks like data wrangling, exploratory data analysis, building pipelines, and more. Whether you're a seasoned data professional or new to data science, you'll quickly master Polars' expressive API and its underlying concepts. You don't need to have experience with pandas, but if you do, this book will help you make a seamless transition. The many practical examples and real-world datasets are available on GitHub, so you can easily follow along. <ul> <li>Process data from CSV, Parquet, spreadsheets, databases, and the cloud </li><li>Get a solid understanding of Expressions, the building blocks of every query </li><li>Handle complex data types, including text, time, and nested structures </li><li>Use both eager and lazy APIs, and know when to use each </li><li>Visualize your data with Altair, hvPlot, plotnine, and Great Tables </li><li>Extend Polars with your own Python functions and Rust plugins </li><li>Leverage GPU acceleration to boost performance even further </li></ul>

Transforming, Analyzing, and Visualizing Data with a Fast and Expressive Dataframe API

Python Polars: The Definitive Guide

Your Python code may run correctly, but what if you need it to run faster? This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory behind design choices, this expanded edition of High Performance Python helps experienced Python programmers gain a deeper understanding of Python's implementation. How do you take advantage of multicore architectures or compilation? Or build a system that scales up beyond RAM limits or with a GPU? Authors Micha Gorelick and Ian Ozsvald reveal concrete solutions to many issues and include war stories from companies that use high-performance Python for GenAI data extraction, productionized machine learning, and more. <ul> <li>Get a better grasp of NumPy, Cython, and profilers</li> <li>Learn how Python abstracts the underlying computer architecture</li> <li>Use profiling to find bottlenecks in CPU time and memory usage</li> <li>Write efficient programs by choosing appropriate data structures</li> <li>Speed up matrix and vector computations</li> <li>Process DataFrames quickly with Pandas, Dask, and Polars</li> <li>Speed up your neural networks and GPU computations</li> <li>Use tools to compile Python down to machine code</li> <li>Manage multiple I/O and computational operations concurrently</li> <li>Convert multiprocessing code to run on local or remote clusters</li> </ul>

Practical Performant Programming for Humans

High Performance Python

AI is transforming software development, shifting programmers from writing code to collaborating with AI in an intent-driven workflow. Vibe coding--a prompt-first, exploratory approach where you describe what you want in natural language and let a large language model fill in the blanks--represents a radical shift in the developer's role from writing code todirecting it. However, vibe coding comes with a serious caveat: Like a high-speed exploratory vehicle, it can take you off the beaten path quickly. Beyond Vibe Coding: From Coder to AI-Era Developer explores how AI-powered coding assistants like GitHub Copilot and OpenAI Codex are reshaping the way we build software, from automating routine coding tasks to influencing architecture and design decisions. Written by Addy Osmani, this guide provides developers, tech leads, and organizations with practical strategies to integrate AI into their workflows effectively. Learn how to formulate clear goals and constraints for the AI, review AI-generated code critically, and integrate those pieces into a coherent whole. Whether you're adopting AI tools today or preparing for the future of software engineering, this book offers insights and hands-on examples to keep your skills sharp in this evolving landscape. <ul> <li>Understand how AI-assisted development is reshaping programming</li> <li>Master techniques for refining, validating, and debugging AI-generated code, and understand how and why LLM generations can go wrong</li> <li>Explore multiagent coding systems and AI-driven software workflows</li> <li>Future-proof your career by adapting to AI's growing role in development</li> </ul>

Leveraging Your Experience in the Age of AI-Assisted Coding

Beyond Vibe Coding

An immersive, alarming, sharp-eyed journey into the bizarre world of computer code, told through the author's attempt to become a coder himself.

A Coding Odyssey

Devil in the Stack

This book provides readers with the concepts and tools necessary to bring a robot to life through programming. It will equip them with the skills necessary to undertake projects with ROS2, the new version of ROS, with no previous experience with ROS2 needed.

A Concise Introduction to Robot Programming with ROS 2

When Excel isn’t enough, it’s time to learn Python. If you’re comfortable in Excel, but you’ve hit a wall—slow files, broken formulas, hours spent on repetitive tasks—this book offers a way forward. It shows you how to take the work you already do in spreadsheets and make it faster, smarter, and more powerful with Python. You’ll start by setting up your environment and getting comfortable with Python through short, Excel-inspired exercises. From there, you’ll gradually move into writing scripts that automate manual work, structure your data, and generate consistent results—no prior programming knowledge required. You’ll use your preexisting Excel skills to learn how to: <ul><li>Translate spreadsheet logic into Python code</li><li>Use pandas to clean, reshape, and filter data</li><li>Automate reports you’d normally build by hand</li><li>Read and write Excel files directly from Python</li><li>Connect to databases and APIs</li><li>Create professional visualizations with Plotly and Dash</li><li>Organize code into sharable modules and write simple tests </li></ul> Throughout the book, you’ll find practical examples that show why and how to move your work out of spreadsheets and into scripts, and how to resolve issues along the way. Author Tracy Stephens has extensive practical experience with both Excel and Python. Her approach is grounded in real workflows, and she introduces each concept through tasks you’ve likely handled in Excel. This book won’t ask you to replace everything you do in spreadsheets, but it will help you use Python to work faster, more reliably, and with greater flexibility than you ever could with Excel.

When Excel isn’t enough, it’s time to learn Python. If you’re comfortable in Excel, but you’ve hit a wall—slow files, broken formulas, hours spent on repetitive tasks—this book offers a way forward. It shows you how to take the work you already do in spreadsheets and make it faster, smarter, and more powerful with Python. You’ll start by setting up your environment and getting comfortable with Python through short, Excel-inspired exercises. From there, you’ll gradually move into writing scripts that automate manual work, structure your data, and generate consistent results—no prior programming knowledge required. You’ll use your preexisting Excel skills to learn how to: <ul><li>Translate spreadsheet logic into Python code</li><li>Use pandas to clean, reshape, and filter data</li><li>Automate reports you’d normally build by hand</li><li>Read and write Excel files directly from Python</li><li>Connect to databases and APIs</li><li>Create professional visualizations with Plotly and Dash</li><li>Organize code into sharable modules and write simple tests </li></ul> Throughout the book, you’ll find practical examples that show why and how to move your work out of spreadsheets and into scripts, and how to resolve issues along the way. Author Tracy Stephens has extensive practical experience with both Excel and Python. Her approach is grounded in real workflows, and she introduces each concept through tasks you’ve likely handled in Excel. This book won’t ask you to replace everything you do in spreadsheets, but it will help you use Python to work faster, more reliably, and with greater flexibility than you ever could with Excel.

Know Excel? You Can Learn Python

Python for Excel Users

Introducing Python

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