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Gather, analyze, and decode data to reveal hidden facts using Python, the perfect tool for all aspiring secret agents About This Book Discover the essential features of Python programming: statements, variables, expressions, and many of the built-in data types Use Python's standard library to do more sophisticated data gathering and analysis Written by a Python programming expert, with over 35 years' experience as a consultant, teacher, author and software developer Who This Book Is For This book is for Secret Agents who have some exposure to Python. Our focus is on the Field Agents who are ready to do more sophisticated and complex programming in Python. We'll stick to simple statistics for the most part. A steady hand with a soldering iron is not required, but a skilled field agent should be able to assemble a working Arduino circuit to gather their own sensor data. What You Will Learn Upgrade Python to the latest version and discover its latest and greatest tools Use Python libraries to extract data from log files that are designed more for people to read than for automated analysis Summarize log files and extract meaningful information Gather data from social networking sites and leverage your experience of analyzing log files to summarize the data you find Extract text and images from social networking sites Parse the complex and confusing data structures in a PDF file to extract meaningful text that we can analyze Connect small, intelligent devices to our computer to use them as remote sensors Use Python to analyze measurements from sensors to calibrate them and use sensors efficiently In Detail Python is easy to learn and extensible programming language that allows any manner of secret agent to work with a variety of data. Agents from beginners to seasoned veterans will benefit from Python's simplicity and sophistication. The standard library provides numerous packages that move beyond simple beginner missions. The Python ecosystem of related packages and libraries supports deep information processing. This book will guide you through the process of upgrading your Python-based toolset for intelligence gathering, analysis, and communication. You'll explore the ways Python is used to analyze web logs to discover the trails of activities that can be found in web and database servers. We'll also look at how we can use Python to discover details of the social network by looking at the data available from social networking websites. Finally, ...

Computer security. --- Python (Computer program language)

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Analyze, encrypt, and uncover intelligence data using Python, the essential tool for all aspiring secret agents In Detail Python is an easy-to-learn and extensible programming language that allows secret agents to work with a wide variety of data in a number of ways. It gives beginners a simple way to start programming, but Python's standard library also provides numerous packages that allow Python-using secret agents to easily utilize very sophisticated information processing. This book will guide new field agent trainees through putting together a Python-based toolset to gather, analyze, and communicate data. It starts by covering the basics and then moves on to sections such as file exchange, image processing, geocoding, simple trigonometry, and more sensitive statistical processing. You will then learn how to use polynomials to encode and decode data in different representations. Furthermore, this book shows you how to add tools to a Python environment, work with images, and parse HTML web pages to extract meaningful data. The idea of adding packages to Python is central to how an agent will leverage these tools for data processing. What You Will Learn Quickly get to grips with using Python to create tools and solve problems Manipulate image files and learn how to encode messages into an image using steganography Gather a file's hidden secrets, such as EXIF data and ZIP archive contents Build applications that access, filter, and analyze live data from the Web Design Python modules, libraries, and applications Customize your Python environment with specialized packages Extract data using HTTP and FTP internetworking protocols

Web sites --- Web site development --- Python (Computer program language) --- Scripting languages (Computer science) --- Development of Web sites --- Internet programming --- Authoring programs for Web sites --- Authoring programs. --- Computer software. --- Development --- Design --- Computer programs --- Software

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Being familiar with object-oriented design is an essential part of programming in Python. This new edition includes all the topics that made Python Object-Oriented Programming an instant Packt classic. Moreover, it's packed with updated content to reflect more recent changes in the core Python libraries and cover modern third-party packages.

Object-oriented programming (Computer science) --- Python (Computer program language) --- Programmation orientée objet (Informatique) --- Python (Langage de programmation)

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“Using this book has propelled my efficiency in solving leetcode challenges.” - Discord user, zizu Python isn't all about object-oriented programming. Discover a valuable way of thinking about code design through a function-first approach – and learn when you need to use it. Now with detailed exercises at the end of every chapter! Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn how, when, and why to adopt functional elements in your projectsExplore the Python modules essential to functional programming, like itertools and functoolsCover examples relevant to mathematical, statistical, and data analysis domainsBook DescriptionNot enough developers understand the benefits of functional programming, or even what it is. Author Steven Lott demystifies the approach, teaching you how to improve the way you code in Python and make gains in memory use and performance. If you’re a leetcoder preparing for coding interviews, this book is for you. Starting from the fundamentals, this book shows you how to apply functional thinking and techniques in a range of scenarios, with Python 3.10+ examples focused on mathematical and statistical algorithms, data cleaning, and exploratory data analysis. You'll learn how to use generator expressions, list comprehensions, and decorators to your advantage. You don't have to abandon object-oriented design completely, though – you'll also see how Python's native object orientation is used in conjunction with functional programming techniques. By the end of this book, you'll be well-versed in the essential functional programming features of Python and understand why and when functional thinking helps. You'll also have all the tools you need to pursue any additional functional topics that are not part of the Python language.What you will learnUse Python's libraries to avoid the complexities of state-changing classesLeverage built-in higher-order functions to avoid rewriting common algorithmsWrite generator functions to create lazy processingDesign and implement decorators for functional compositionMake use of Python type annotations to describe parameters and results of functionsApply functional programming to concurrency and web servicesExplore the PyMonad library for stateful simulationsWho this book is forThe functional paradigm is very useful for programmers working in data science or preparing for technical interviews, but any Python developer who wants to create more reliable, succinct, and expressive code will have much to learn from this book. No prior knowledge of functional programming is required to get started, though Python programming knowledge is assumed. A running Python environment is essential.

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