Python and Algorithmic Thinking for the Complete Beginner. Learn to think like a programmer by mastering Python programming and algorithmic foundations

Aristides Bouras

This course is meticulously designed to take beginners on a journey through the fascinating world of Python programming and algorithmic thinking. The initial chapters lay a strong foundation, starting with the basics of how computers operate, moving into Python programming, and familiarizing learners with integrated development environments like IDLE and Visual Studio Code.Further, the course delves into essential programming constructs such as variables, constants, input/output handling, and operators. You'll gain practical experience with trace tables, sequence control structures, and decision control structures through comprehensive exercises and examples. The curriculum emphasizes hands-on learning with chapters dedicated to manipulating numbers, strings, and understanding complex mathematical expressions. By mastering these concepts, you'll be well-prepared to tackle more advanced topics.The final chapters introduce you to object-oriented programming and file manipulation, rounding out your skill set. Throughout the course, practical tips and tricks are provided to enhance your coding efficiency and problem-solving skills. By the end of this course, you will have a robust understanding of Python programming and the ability to apply algorithmic thinking to solve real-world problems.

Python: Master the Art of Design Patterns. Click here to enter text

Dusty Phillips, Chetan Giridhar, Sakis Kasampalis

Python is an object-oriented scripting language that is used in everything from data science to web development. Known for its simplicity, Python increases productivity and minimizes development time. Through applying essential software engineering design patterns to Python, Python code becomes even more efficient and reusable from project to project. This learning path takes you through every traditional and advanced design pattern best applied to Python code, building your skills in writing exceptional Python. Divided into three distinct modules, you’ll go from foundational to advanced concepts by following a series of practical tutorials.Start with the bedrock of Python programming – the object-oriented paradigm. Rethink the way you work with Python as you work through the Python data structures and object-oriented techniques essential to modern Python programming. Build your confidence as you learn Python syntax, and how to use OOP principles with Python tools such as Django and Kivy.In the second module, run through the most common and most useful design patterns from a Python perspective. Progress through Singleton patterns, Factory patterns, Façade patterns and more all with detailed hands-on guidance. Enhance your professional abilities in in software architecture, design, and development.In the final module, run through the more complex and less common design patterns, discovering how to apply them to Python coding with the help of real-world examples. Get to grips with the best practices of writing Python, as well as creating systems architecture and troubleshooting issues.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Python 3 Object-Oriented Programming - Second Edition by Dusty Phillips? Learning Python Design Patterns - Second Edition by Chetan Giridhar? Mastering Python Design Patterns by Sakis Kasampalis

Essential Statistics for Non-STEM Data Analysts. Get to grips with the statistics and math knowledge needed to enter the world of data science with Python

Rongpeng Li

Statistics remain the backbone of modern analysis tasks, helping you to interpret the results produced by data science pipelines. This book is a detailed guide covering the math and various statistical methods required for undertaking data science tasks.The book starts by showing you how to preprocess data and inspect distributions and correlations from a statistical perspective. You’ll then get to grips with the fundamentals of statistical analysis and apply its concepts to real-world datasets. As you advance, you’ll find out how statistical concepts emerge from different stages of data science pipelines, understand the summary of datasets in the language of statistics, and use it to build a solid foundation for robust data products such as explanatory models and predictive models. Once you’ve uncovered the working mechanism of data science algorithms, you’ll cover essential concepts for efficient data collection, cleaning, mining, visualization, and analysis. Finally, you’ll implement statistical methods in key machine learning tasks such as classification, regression, tree-based methods, and ensemble learning.By the end of this Essential Statistics for Non-STEM Data Analysts book, you’ll have learned how to build and present a self-contained, statistics-backed data product to meet your business goals.

FreeSWITCH 1.6 Cookbook. Over 45 practical recipes to empower you with the latest FreeSWITCH 1.6 features

Giovanni Maruzzelli, Anthony Minessale II

Metasploit 5.0 for Beginners. Perform penetration testing to secure your IT environment against threats and vulnerabilities - Second Edition

Sagar Rahalkar

Securing an IT environment can be challenging, however, effective penetration testing and threat identification can make all the difference. This book will help you learn how to use the Metasploit Framework optimally for comprehensive penetration testing.Complete with hands-on tutorials and case studies, this updated second edition will teach you the basics of the Metasploit Framework along with its functionalities. You’ll learn how to set up and configure Metasploit on various platforms to create a virtual test environment. Next, you’ll get hands-on with the essential tools. As you progress, you’ll learn how to find weaknesses in the target system and hunt for vulnerabilities using Metasploit and its supporting tools and components. Later, you'll get to grips with web app security scanning, bypassing anti-virus, and post-compromise methods for clearing traces on the target system. The concluding chapters will take you through real-world case studies and scenarios that will help you apply the knowledge you’ve gained to ethically hack into target systems. You’ll also discover the latest security techniques that can be directly applied to scan, test, ethically hack, and secure networks and systems with Metasploit.By the end of this book, you’ll have learned how to use the Metasploit 5.0 Framework to exploit real-world vulnerabilities.

GameMaker Essentials. Learn all the essential skills of GameMaker: Studio and start making your own impressive games with ease

Nathan T Auckett USD, Nathan Thomas Auckett

Pragmatic Test-Driven Development in C# and .NET. Write loosely coupled, documented, and high-quality code with DDD using familiar tools and libraries

Adam Tibi

Test-driven development is a manifesto for incrementally adding features to a product but starting with the unit tests first. Today’s project templates come with unit tests by default and implementing them has become an expectation. It’s no surprise that TDD/unit tests feature in most job specifications and are important ingredients for most interviews and coding challenges. Adopting TDD will enforce good design practices and expedite your journey toward becoming a better coding architect.This book goes beyond the theoretical debates and focuses on familiarizing you with TDD in a real-world setting by using popular frameworks such as ASP.NET Core and Entity Framework. The book starts with the foundational elements before showing you how to use Visual Studio 2022 to build an appointment booking web application. To mimic real-life, you’ll be using EF, SQL Server, and Cosmos, and utilize patterns including repository, service, and builder. This book will also familiarize you with domain-driven design (DDD) and other software best practices, including SOLID and FIRSTHAND.By the end of this TDD book, you’ll have become confident enough to champion a TDD implementation. You’ll also be equipped with a business and technical case for rolling out TDD or unit testing to present to your management and colleagues.

Implementing GitOps with Kubernetes. Automate, manage, scale, and secure infrastructure and cloud-native applications on AWS and Azure

Pietro Libro, Artem Lajko

This book covers actionable GitOps practices for automated, secure Kubernetes deployments with industry-tested scenarios. You’ll be able to leverage GitOps to tackle cloud-native software delivery challenges, such as preventing data drifts between systems and Git repositories, and ensuring rapid, error-free deployments.The book introduces GitOps core concepts and principles and then delves into integrating version control and GitOps tools such as Argo CD, Flux CD, Helm, and Kustomize with Kubernetes. You’ll learn about scaling GitOps across multiple clusters, architectural designs for efficient cloud-native operations, and the cultural transformation needed to support GitOps adoption within an organization. As you progress, you’ll be able to automate infrastructure and implement CI/CD processes on OpenShift, MS Azure, and AWS platforms using GitOps, Terraform, OpenTofu, and Argo CD. You’ll also explore examples and best practices for integrating observability, enhancing security, managing financial operations (FinOps), and future trends such as AI and sustainability in GitOps.By the end of this book, you’ll have gained the skills you need to apply GitOps strategies for robust Kubernetes and cloud deployments, thereby boosting your productivity and efficiency.

Sage ACT! 2011 Dashboard and Report Cookbook. Take your Customer Relations Management to new levels of efficiency with the 65+ recipes in this indispensable Cookbook. You’ll be creating and customizing superb dashboards and reports from your Sage ACT! data in no time

Karen Fredricks, Roy Laudenslager

Sage ACT! is the top selling CRM software application, and it helps businesses to centralize contact information, organize their calendars and notes, and ultimately maximize contact relationships to optimize business efficiency and profitability. In ACT! 2011, a variety of new dashboards and reports are available for producing graphical representations of client information and for measuring the success of your sales force.This cookbook is full of practical and immediately applicable recipes that will take you from being an ACT! report and dashboard novice to a report-writing pro in no time. The recipes will show you how to create custom dashboards and reports, as well as utilize the new templates available in recent ACT! versions. You will learn to use ACT!'s Report Editor and Dashboard Designer so that you will be able to easily view important information about your business and your sales force.The recipes begin by covering the most basic elements of the ACT! reports and continue to include several recipes that will guide you through creating brand-new reports. If you have an ACT! database, you need to be able to access it quickly and logically; this book will help you do just that.

PHP Web 2.0 Mashup Projects: Practical PHP Mashups with Google Maps, Flickr, Amazon, YouTube, MSN Search, Yahoo!. Create practical mashups in PHP grabbing and mixing data from Google Maps, Flickr, Amazon, YouTube, MSN Search, Yahoo!, Last.fm, and 411Sync.com

Shu-Wai Chow

A mashup is a web page or application that combines data from two or more external online sources into an integrated experience. This book is your entryway to the world of mashups and Web 2.0. You will create PHP projects that grab data from one place on the Web, mix it up with relevant information from another place on the Web and present it in a single application. This book is made up of five real-world PHP projects. Each project begins with an overview of the technologies and protocols needed for the project, and then dives straight into the tools used and details of creating the project: Look up products on Amazon.Com from their code in the Internet UPC database A fully customized search engine with MSN Search and Yahoo! A personal video jukebox with YouTube and Last.FM Deliver real-time traffic incident data via SMS and the California Highway Patrol! Display pictures sourced from Flickr in Google mapsAll the mashup applications used in the book are built upon free tools and are thoroughly explained. You will find all the source code used to build the mashups used in this book in the code download section for this book.

VMware Horizon View Essentials. Successfully design, install, and configure an end-to-end VDI infrastructure with VMware Horizon View

Peter von Oven

Backbone.js Testing

Ryan Glenn Roemer

Oracle E-Business Suite R12.x HRMS - A Functionality Guide. Design, implement, and build an entire end-to-end HR management infrastructure with Oracle E-Business Suite

Pravin S Ingawale

Windows Forensics Analyst Field Guide. Engage in proactive cyber defense using digital forensics techniques

Muhiballah Mohammed

In this digitally driven era, safeguarding against relentless cyber threats is non-negotiable. This guide will enable you to enhance your skills as a digital forensic examiner by introducing you to cyber challenges that besiege modern entities. It will help you to understand the indispensable role adept digital forensic experts play in preventing these threats and equip you with proactive tools to defend against ever-evolving cyber onslaughts.The book begins by unveiling the intricacies of Windows operating systems and their foundational forensic artifacts, helping you master the art of streamlined investigative processes. From harnessing opensource tools for artifact collection to delving into advanced analysis, you’ll develop the skills needed to excel as a seasoned forensic examiner. As you advance, you’ll be able to effortlessly amass and dissect evidence to pinpoint the crux of issues. You’ll also delve into memory forensics tailored for Windows OS, decipher patterns within user data, and log and untangle intricate artifacts such as emails and browser data.By the end of this book, you’ll be able to robustly counter computer intrusions and breaches, untangle digital complexities with unwavering assurance, and stride confidently in the realm of digital forensics.

Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow

Nazia Habib

Q-learning is a machine learning algorithm used to solve optimization problems in artificial intelligence (AI). It is one of the most popular fields of study among AI researchers.This book starts off by introducing you to reinforcement learning and Q-learning, in addition to helping you become familiar with OpenAI Gym as well as libraries such as Keras and TensorFlow. A few chapters into the book, you will gain insights into model-free Q-learning and use deep Q-networks and double deep Q-networks to solve complex problems. This book will guide you in exploring use cases such as self-driving vehicles and OpenAI Gym’s CartPole problem. You will also learn how to tune and optimize Q-networks and their hyperparameters. As you progress, you will understand the reinforcement learning approach to solving real-world problems. You will also explore how to use Q-learning and related algorithms in scientific research. Toward the end, you’ll gain insight into what’s in store for reinforcement learning.By the end of this book, you will be equipped with the skills you need to solve reinforcement learning problems using Q-learning algorithms with OpenAI Gym, Keras, and TensorFlow.

SketchBook Pro Digital Painting Essentials. Explore the styles and capabilities of Sketchbook Pro with this excellent guide to the essentials of digital painting. In no time, you'll be bringing your own unique creativity to the virtual easel or drawing pad

Gil Robles

Sketchbook Pro is a professional grade painting app that is easy to use and which helps you create digital art that looks like paintings created using ink and color. Using Sketchbook Pro, you can transform your digital art into true masterpieces that resemble work done using traditional mediums.SketchBook Pro Digital Painting Essentials will show you how to transform your digital art into true masterpieces. This book will guide you through the many tools and options available in Sketchbook Pro such as the symmetry tool, layer editor, and blend modes to create images that look as though they were done by hand using traditional tools and mediums. This unique book offers inspiration with hands-on techniques and gives you an insight into a professional artist's mind.Starting with an overview of the program, this book will help you customize and set your preferences to help you produce the best possible images for use on the Web or for print. You will be able to look over the author's shoulder as he demonstrates the use of the tools to create artwork that looks like it was painted or inked. This book will then show you how you can draw basic illustrations and then how to create acrylic paintings. You will also learn about file saving options; which ones are best for what you intend to do with the artwork. The book will also show you how to export the images you've created to other software and will give you tips and tricks that will help you make the most out of Sketchbook Pro. SketchBook Pro Digital Painting Essentials will give you an extensive overview complete with supporting imagery of how each piece of art was made, and by the end of this book, you will have created multiple drawings using Sketchbook Pro.

LLVM Essentials. Become familiar with the LLVM infrastructure and start using LLVM libraries to design a compiler

Mayur Pandey, Suyog Sarda, David Farago

LLVM is currently the point of interest for many firms, and has a very active open source community. It provides us with a compiler infrastructure that can be used to write a compiler for a language. It provides us with a set of reusable libraries that can be used to optimize code, and a target-independent code generator to generate code for different backends. It also provides us with a lot of other utility tools that can be easily integrated into compiler projects.This book details how you can use the LLVM compiler infrastructure libraries effectively, and will enable you to design your own custom compiler with LLVM in a snap.We start with the basics, where you’ll get to know all about LLVM. We then cover how you can use LLVM library calls to emit intermediate representation (IR) of simple and complex high-level language paradigms. Moving on, we show you how to implement optimizations at different levels, write an optimization pass, generate code that is independent of a target, and then map the code generated to a backend. The book also walks you through CLANG, IR to IR transformations, advanced IR block transformations, and target machines. By the end of this book, you’ll be able to easily utilize the LLVM libraries in your own projects.

jQuery Mobile Cookbook. Over 80 recipes with examples and practical tips to help you quickly learn and develop cross-platform applications with jQuery Mobile book and

Chetan Jain

jQuery Mobile is an award winning, HTML5/CSS3 based open source cross-platform UI framework. It offers a very cool and highly customizable UX. It is built on the popular jQuery library and uses declarative coding making it easy to use and learn. It is the market leader today considering the numerous browsers and platforms that it supports.jQuery Mobile Cookbook presents over a hundred recipes written in a simple and easy manner. You can quickly learn and start writing code immediately. Advanced topics such as using scripts to manipulate, customize, and extend the framework are also covered. These tips address your common everyday problems. The book is very handy for both beginner and experienced jQuery Mobile developers.You start by developing simple apps using various controls and learn to customize them. Later you explore using advanced aspects like configurations, events, and methods.Develop single and multi-page applications. Use caching to boost performance. Use custom transitions, icon sprites, styles, and themes. Learn advanced features like configurations, events, and methods. Explore future trends by using HTML5 new features and semantics with jQuery Mobile.jQuery Mobile Cookbook is an easy read and is packed with practical tips and screenshots.

Penetration Testing with BackBox. This tutorial will immerse you in the fascinating environment of penetration testing. Thoroughly practical and written for ease of understanding, it will give you the insights and knowledge you need to start using BackBox

Stefan Umit Uygur

Joomla! 3 Beginner's Guide. Build, develop, and manage a fully functioning, professional looking, and feature-rich website with the Joomla! CMS

Eric Tiggeler

Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks

Karthiek Reddy Bokka, Shubhangi Hora, Tanuj Jain, Monicah Wambugu

Applying deep learning approaches to various NLP tasks can take your computational algorithms to a completely new level in terms of speed and accuracy. Deep Learning for Natural Language Processing starts by highlighting the basic building blocks of the natural language processing domain.The book goes on to introduce the problems that you can solve using state-of-the-art neural network models. After this, delving into the various neural network architectures and their specific areas of application will help you to understand how to select the best model to suit your needs. As you advance through this deep learning book, you’ll study convolutional, recurrent, and recursive neural networks, in addition to covering long short-term memory networks (LSTM). Understanding these networks will help you to implement their models using Keras. In later chapters, you will be able to develop a trigger word detection application using NLP techniques such as attention model and beam search.By the end of this book, you will not only have sound knowledge of natural language processing, but also be able to select the best text preprocessing and neural network models to solve a number of NLP issues.

Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j

Rahul Raj

Java is one of the most widely used programming languages in the world. With this book, you will see how to perform deep learning using Deeplearning4j (DL4J) – the most popular Java library for training neural networks efficiently.This book starts by showing you how to install and configure Java and DL4J on your system. You will then gain insights into deep learning basics and use your knowledge to create a deep neural network for binary classification from scratch. As you progress, you will discover how to build a convolutional neural network (CNN) in DL4J, and understand how to construct numeric vectors from text. This deep learning book will also guide you through performing anomaly detection on unsupervised data and help you set up neural networks in distributed systems effectively. In addition to this, you will learn how to import models from Keras and change the configuration in a pre-trained DL4J model. Finally, you will explore benchmarking in DL4J and optimize neural networks for optimal results.By the end of this book, you will have a clear understanding of how you can use DL4J to build robust deep learning applications in Java.

Master Data Science with Python. Combine Python with machine learning principles to discover hidden patterns in raw data

Rohan Chopra, Aaron England, Mohamed Noordeen Alaudeen

Data Science with Python begins by introducing you to data science and teaches you to install the packages you need to create a data science coding environment. You will learn three major techniques in machine learning: unsupervised learning, supervised learning, and reinforcement learning. You will also explore basic classification and regression techniques, such as support vector machines, decision trees, and logistic regression.As you make your way through the book, you will understand the basic functions, data structures, and syntax of the Python language that are used to handle large datasets with ease. You will learn about NumPy and pandas libraries for matrix calculations and data manipulation, discover how to use Matplotlib to create highly customizable visualizations, and apply the boosting algorithm XGBoost to make predictions. In the concluding chapters, you will explore convolutional neural networks (CNNs), deep learning algorithms used to predict what is in an image. You will also understand how to feed human sentences to a neural network, make the model process contextual information, and create human language processing systems to predict the outcome.By the end of this book, you will be able to understand and implement any new data science algorithm and have the confidence to experiment with tools or libraries other than those covered in the book.

Python Web Penetration Testing Cookbook. Over 60 indispensable Python recipes to ensure you always have the right code on hand for web application testing

Benjamin May, Cameron Buchanan, Andrew Mabbitt, Dave Mound, ...