Wydawca: Packt Publishing
Palo Alto Networks from Policy to Code. Automate PAN-OS security policies with Python precision
Nikolay Matveev, Migara Ekanayake
Palo Alto Networks firewalls are the gold standard in enterprise security, but managing them manually often leads to endless configurations, error-prone changes, and difficulty maintaining consistency across deployments.Written by cybersecurity experts with deep Palo Alto Networks experience, this book shows you how to transform firewall management with automation, using a code-driven approach that bridges the gap between powerful technology and practical implementation.You’ll start with next-gen firewall fundamentals before advancing to designing enterprise-grade security policies, applying threat prevention profiles, URL filtering, TLS decryption, and application controls to build a complete policy framework. Unlike other resources that focus on theory or vendor documentation, this hands-on guide covers best practices and real-world strategies. You’ll learn how to automate policy deployment using Python and PAN-OS APIs, structure firewall configurations as code, and integrate firewalls with IT workflows and infrastructure-as-code tools.By the end of the book, you’ll be able to design, automate, test, and migrate firewall policies with confidence, gaining practical experience in quality assurance techniques, pilot testing, debugging, and phased cutovers—all while maintaining security and minimizing business impact.
David Brian Mathews, David B Mathews, Reinier...
Panda3D is a game engine, a framework for 3D rendering and game development for Python and C++ programs. It includes graphics, audio, I/O, collision detection, and other abilities relevant to the creation of 3D games. Also, Panda3D is Open Source and free for any purpose, including commercial ventures. This book will enable you to create finished, marketable computer games using Panda3D and other entirely open-source tools and then sell those games without paying a cent for licensing.Panda3D 1.6 Game Engine Beginner's Guide follows a logical progression from a zero start through the game development process all the way to a finished, packaged installer. Packed with examples and detailed tutorials in every section, it teaches the reader through first-hand experience. These tutorials are followed by explanations that describe what happened in the tutorial and why.You will start by setting up a workspace, and then move on to the basics of starting up Panda3D. From there, you will begin adding objects like a level and a character to the world inside Panda3D. Then the book will teach you to put the game's player in control by adding change over time and response to user input. Then you will learn how to make it possible for objects in the world to interact with each other by using collision detection and beautify your game with Panda3D's built-in filters, shaders, and texturing. Finally, you will add an interface, audio, and package it all up for the customer.
Christoph Lang, Reinier de Blois
Matt Harrison, Theodore Petrou
The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.
William Ayd, Matthew Harrison, Wes McKinney
Unlock the full power of pandas 2.x with this hands-on cookbook, designed for Python developers, data analysts, and data scientists who need fast, efficient solutions for real-world data challenges. This book provides practical, ready-to-use recipes to streamline your workflow. With step-by-step guidance, you'll master data wrangling, visualization, performance optimization, and scalable data analysis using pandas’ most powerful features. From importing and merging large datasets to advanced time series analysis and SQL-like operations, this cookbook equips you with the tools to analyze, manipulate, and visualize data like a pro. Learn how to boost efficiency, optimize memory usage, and seamlessly integrate pandas with NumPy, PyArrow, and databases. This book will help you transform raw data into actionable insights with ease.*Email sign-up and proof of purchase required
Theodore Petrou
This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas 0.20. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way.The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.Many advanced recipes combine several different features across the pandas 0.20 library to generate results.