Название: Data Structures and Algorithms for Beginners: Elevating Your Coding Skills with Data Structures and Algorithms
Автор: Sаm Саmрbеll
Издательство: Independently published
Год: 2024
Страниц: 112
Язык: английский
Формат: pdf
Размер: 13.8 MB

Dive into the world of data structures and algorithms with this comprehensive guide tailored for Python programmers. "Data Structures and Algorithms for Beginners: Elevating Your Coding Skills with Data Structures and Algorithms" is an essential resource for anyone looking to deepen their understanding of computational methods and enhance their problem-solving skills. Starting with the basics of Python and progressing through to complex data structures and algorithmic techniques, this book offers a structured approach to learning. It not only demystifies the theoretical aspects of the topics but also provides practical implementations and real-world applications, ensuring that readers gain hands-on experience. "Data Structures and Algorithms for Beginners" is more than just a book; it's a pathway to enhancing your coding expertise, improving your analytical thinking, and solving complex computational problems with confidence. Embark on this educational journey to unlock new possibilities in your programming career or hobbyist endeavors.

Название: Hacker: Hack The System - The "Ethical" Python Hacking Guide
Автор: Таkеhirо Каnеgi
Издательство: Reactive Publishing
Год: 2024
Страниц: 259
Язык: английский
Формат: pdf
Размер: 25.3 MB

Dive into the electrifying depths of the digital world with 'Hacker,' a book that doesn't just tell you about cybersecurity—it thrusts you into the heart of the action. This gripping guide peels back the layers of the internet we interact with daily, revealing a hidden universe teeming with potential and peril. From the basics of coding to the complexities of cyber attacks and defense mechanisms, 'Hacker' empowers you with the knowledge to explore the digital world safely and ethically. Experience firsthand the adrenaline of outsmarting cyber threats through immersive tutorials and real-world scenarios that transform abstract concepts into tangible skills. 'Hacker' is more than a book; it's your initiation into a clandestine community dedicated to safeguarding our digital frontier. Whether you're aspiring to become a cybersecurity expert or simply curious about how digital defenses are constructed and breached, this book offers a comprehensive and engaging journey through the landscape of modern hacking techniques.

Название: API Testing with Python 3 for Beginners: Programming
Автор: Мustаfа Аli
Издательство: Independently published
Год: 2024
Язык: английский
Формат: pdf
Размер: 10.1 MB

In today's software development landscape, robust and reliable APIs are crucial for seamless communication between various components and applications. API testing plays a vital role in ensuring the functionality and behaviour of these APIs meet expectations. This guide delves into how Python 3 and the PyTest framework can be effectively combined to automate API testing, empowering you to streamline backend automation and enhance the quality of your web applications.

Название: The Python Automation Cookbook: A Recipe Guide to Automate your Life
Автор: Науdеn Vаn Dеr Роst, Vinсеnt Вisеttе
Издательство: Reactive Publishing
Год: 2024
Страниц: 439
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Unleash the Power of Python: Simplify Your Life with Automation. In the modern world, time is the ultimate currency. Enter the "Python Automation Cookbook," your ultimate guide to reclaiming hours of your day. Authored by Hayden Van Der Post, this transformative book is more than just a programming manual—it's a lifeline to efficiency. Imagine a world where mundane tasks are a thing of the past: sorting emails, managing files, updating spreadsheets, all happening seamlessly in the background while you focus on what truly matters. This isn't a dream. Python, with its simplicity and vast array of powerful libraries, has set a benchmark in automation, making it the go-to language for professionals across various industries. However, to leverage Python’s full capabilities, one must venture beyond the basics and dive into the realm where automation transforms from a mere concept into a tangible asset in your professional toolkit. *The Python Automation Cookbook* is designed precisely for this journey. This book is tailored for advanced users of Python; those who are familiar with Python’s syntax and basic functionalities but wish to push the boundaries of what they can achieve with automation.

Название: Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors: Volume 2
Автор: Аtiqur Rаhmаn Аhаd, Sоzо Inоuе, Guillаumе Lореz
Издательство: CRC Press
Год: 2024
Страниц: 285
Язык: английский
Формат: pdf (true)
Размер: 18.6 MB

Human Activity and Behavior Analysis relates to the field of vision and sensor-based human action or activity and behavior analysis and recognition. The book includes a series of methodologies, surveys, relevant datasets, challenging applications, ideas, and future prospects. Activity recognition has been a hot research topic for some years now. One of its main applications is ambient assisted living, so that people in need of assistance might stay in their own environment longer than previously possible. There is a wide range of sensors of different types and applications being tested in this domain, ranging from ambient binary motion sensors and pressure mats to wearable gyroscopes or sensors monitoring body functions. This is also due to the many different levels of surveillance tested by the researchers. The library we selected to use here is Apache Beam and in-memory database Redis. There are two reasons to use Apache Beam: The first is the ease of implementation. Apache Beam can be written in programming languages such as Java or Python, and the process is represented as a pipeline, so it is intuitive and easy to implement. We used Machine Learning methods for classification and extracted statistical features from raw 3-D acceleration and 3-D angular velocity for each axis within the segment. In this work, we compared three types of classifiers, multi-class support vector machine (SVM), Random Forest (RF), and K Nearest Neighbors (KNN) from Scikit-learn, a Machine Learning library for Python. We chose to set all of the parameters of Machine Learning models to default values of Scikit-learn. Before training data with classifiers, we chose RF and KNN classifiers which calculate distances between different points in their algorithm.

Название: Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors: Volume 1
Автор: Аtiqur Rаhmаn Аhаd, Sоzо Inоuе, Guillаumе Lореz
Издательство: CRC Press
Год: 2024
Страниц: 457
Язык: английский
Формат: pdf (true)
Размер: 21.9 MB

The book discusses topics such as action recognition, action understanding, gait analysis, gesture recognition, behavior analysis, emotion and affective computing, and related areas. Sensors and cameras are exploited for the analysis and recognition of human activity and behavior. In the book Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors, we have divided across two volumes, 40 wonderful chapters under five parts: Part 1: Healthcare and Emotion (Chapters 1–7), Part 2: Mental Health (Chapters 8–14), Part 3: Nurse Care Records (Chapters 15–26), Part 4: Movement and Sensors (Chapters 27–36), and Part 5: Sports Activity Analysis (Chapters 37–40). In a complex problem such as stress detection, the application of some type of Machine Learning (ML) algorithms makes sense. The vast amount of data in a context where multiple variables, such as HR, HRV, GSR, and ST, might have different outputs based on each other, makes it a prime target for the ML approach. Some of the most common classification algorithms are Support Vector Machines (SVM), K-Nearest Neighbours (K-NN), Random Forests (RF), Decision Trees, and Naive Bayes (NB). The data processing and model development used different Python libraries such as Pandas, Tensorflow, and Keras. To recognize stress from the physiological data, we tested different Machine Learning algorithms. We implemented the approach using Python and the Scikit-learn library.

Название: Data Analytics & Visualization All-in-One For Dummies
Автор: Jасk Нуmаn, Luса Маssаrоn, Раul МсFеdriеs
Издательство: For Dummies
Год: 2024
Страниц: 835
Язык: английский
Формат: pdf (true), epub (true)
Размер: 39.8 MB, 27.3 MB

Install data analytics into your brain with this comprehensive introduction. Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place. Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling. Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one. You'll learn all about sources of data like data lakes, and you'll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau. You'll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level. With this Dummies guide, you'll be well on your way to becoming a priceless data jockey. Data Science is the person behind the partition in the experience of the wonderment of technology. Python is uniquely suited to making it easier to work with Data science. For one thing, Python provides an incredible number of math-related libraries that help you perform tasks with a less-than-perfect understanding of precisely what is going on.

Название: Computer Science in Sport: Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Автор: Dаniеl Меmmеrt
Издательство: Springer
Год: 2024
Страниц: 247
Язык: английский
Формат: pdf (true), epub
Размер: 17.7 MB

In recent years, computer science in sport has grown extremely, mainly because more and more new data has become available. Computer Science tools in sports, whether used for opponent preparation, competition, or scientific analysis, have become indispensable across various levels of expertise nowadays. A completely new market has emerged through the utilization of these tools in the four major fields of application: clubs and associations, business, science, and the media. This market is progressively gaining importance within university research and educational activities. This textbook aims to live up to the now broad diversity of Computer Science in sport by having more than 30 authors report from their special field and concisely summarise the latest findings. The book is divided into four main sections: data sets, modelling, simulation and data analysis. In addition to background information on programming languages (R and Python) and visualisation, the textbook is framed by history and an outlook. Python is highly popular in the community of data scientists in general and sports analysts in particular because it is a open-source, dynamic, object-oriented, high-level programming language, which provides highly flexible and up-to-date functionalities due to its available modules and libraries.

Название: Object Oriented Programming with Python for Beginners: Mastering the Fundamentals of Python and OOP. A Beginner's Guide
Автор: Sаm Саmрbеll
Издательство: Independently published
Год: 2024
Язык: английский
Формат: pdf
Размер: 12.1 MB

Object Oriented Programming with Python for Beginners: Mastering the Fundamentals of Python and OOP. A Beginner's Guide is the quintessential handbook for newcomers eager to dive into the world of programming through the lens of Python, one of the most accessible and widely-used programming languages today. This comprehensive guide is meticulously crafted to introduce you to the fundamentals of programming, with a specific focus on the principles of Object-Oriented Programming (OOP). Starting with the very basics, the book walks you through setting up your programming environment, writing your first Python script, and understanding the syntax that makes Python a favorite among beginners and professionals alike. From there, it delves deep into the heart of OOP, demystifying concepts such as classes, objects, inheritance, polymorphism, encapsulation, and abstraction with clear explanations and engaging examples. What sets this guide apart is its practical approach to learning. Each theoretical concept is reinforced with hands-on projects, from simple games to web applications, ensuring that you not only understand the principles of OOP but also know how to apply them in real-world scenarios.

Название: Python for Data Analysis: Unlocking Insights and Driving Innovation with Powerful Data Techniques. 2 in 1 Guide
Автор: Вriаn Раul
Издательство: Independently published
Год: 2024
Страниц: 275
Язык: английский
Формат: pdf
Размер: 33.0 MB

In the age of information, the ability to extract meaningful insights from data is a superpower. "Python for Data Analysis" is your comprehensive 2 in 1 guide to harnessing the power of Python, one of the most versatile programming languages, to analyze data, uncover hidden patterns, and make data-driven decisions. Whether you're a beginner stepping into the world of data analysis or a seasoned analyst looking to refine your skills with Python, this book offers a clear, practical approach to data analysis techniques and practices. Dive into the essentials of Python for data analysis, starting with the basics of Python programming. Quickly move beyond the fundamentals to explore the rich ecosystem of data-centric Python libraries, including NumPy for numerical data processing, pandas for data manipulation, Matplotlib and Seaborn for data visualization, and many more. Through hands-on examples and real-world applications, you'll learn how to effectively manage and analyze data, perform exploratory data analysis, and visualize data patterns and relationships.