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.