Название: Python Programming
Автор: S. Sridhar, J. Indumathi, V.M. Hariharan
Издательство:‎ Pearson Education
Год: 2023
Страниц: 794
Язык: английский
Формат: epub
Размер: 20.2 MB

Python Programming is designed to be a textbook for undergraduate and postgraduate students to provide programming knowledge and enhance problem-solving skills. The book begins with the basics of Python programming followed by the basics of algorithms and further focuses on topics like introduction to programming language, looping, functions, and data structures like lists, tuples, sets, dictionary, and strings. It covers functional programming concepts such as higher-order functions. It also covers Object Oriented Programming concepts such as inheritance and polymorphism. The book also deals with modules and packages, errors and exceptions, Python testing, profiling, debugging, and file handling. The book then focuses on GUI programming. An introduction to data analytics, databases, network programming, and security is provided in this book. The book is also helpful for diploma courses, school curricula, competitive examinations like GATE, coding interviews, and coding competitions. This book can also be used for imparting training and certificate courses to professionals. This book is also ideal for self-study who wishes to make a career in the IT field. Whether a beginner or an experienced coder, this book will help readers navigate through Python and enable them to maximize its power, versatility, and general-purpose nature as a programming language.

Название: Python in Excel: Boost Your Data Analysis and Automation with Powerful Python Scripts
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 769
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unlock the Full Potential of Excel with Python Integration. Transform your data analysis and automation tasks with "Python in Excel: Boost Your Data Analysis and Automation with Powerful Python Scripts." This groundbreaking guide combines the versatility of Python programming with the robust functionalities of Excel, empowering you to elevate your spreadsheet game like never before. Excel is renowned for its user-friendly interface and powerful built-in functionalities. However, it has limitations when dealing with large datasets, performing complex calculations, or automating repetitive tasks. Python complements Excel by offering extensive libraries such as Pandas, NumPy, and Matplotlib, which are designed for data manipulation, numerical computations, and visualization. This integration can mitigate Excel's limitations, providing a robust platform for comprehensive data analysis. Python excels in data manipulation with its Pandas library, which simplifies tasks like filtering, grouping, and aggregating data. This can be particularly useful in cleaning and preparing data before analysis. Join the Data Revolution: With "Python in Excel: Boost Your Data Analysis and Automation with Powerful Python Scripts," you’ll harness the power of Python to transform your Excel experience. Embrace the future of data analysis and automation with this essential guide.

Название: Programming for Corpus Linguistics with Python and Dataframes
Автор: Daniel Keller
Издательство: Cambridge University Press
Год: 2024
Страниц: 114
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This Element offers intermediate or experienced programmers algorithms for Corpus Linguistic (CL) programming in the Python language using dataframes that provide a fast, efficient, intuitive set of methods for working with large, complex datasets such as corpora. This Element demonstrates principles of dataframe programming applied to CL analyses, as well as complete algorithms for creating concordances; producing lists of collocates, keywords, and lexical bundles; and performing key feature analysis. An additional algorithm for creating dataframe corpora is presented including methods for tokenizing, part-of-speech tagging, and lemmatizing using spaCy. This Element provides a set of core skills that can be applied to a range of CL research questions, as well as to original analyses not possible with existing corpus software.

Название: Automating boring Stuff Using Python: The Complete Guide With Code Examples and Exercises to Become a Professional
Автор: Adam Barone, Ane Gaytan
Издательство: Independently published
Год: 2024
Страниц: 131
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Python also has a large and supportive community with many online resources and documentation. Many tutorials, forums, and videos can help beginners get started with Python programming. Selenium is an open-source tool that automates web browsers. It provides a single interface that lets you write test scripts in programming languages like Ruby, Java, NodeJS, PHP, Perl, Python, and C#, among others. I personally prefer Python as it’s very easy to write code in Python. A browser-driver then executes these scripts on a browser-instance on your device. To install this module run this command into your terminal: pip install selenium. Here what you'll learn after downloading this book: - Automate Instagram Messages using Python; - Automating Happy Birthday post on Facebook using Selenium; - Automatic Birthday mail sending with Python; - Automated software testing with Python; - Automate Google Search using Selenium; - Automate linkedin connections using Python; - Automated Trading using Python; - Automate the Conversion from Python2 to Python3; - Bulk Posting on Facebook Pages using Selenium; - Automate WhatsApp Messages With Python using Pywhatkit module; - Automate backup with Python Script; - Automated software testing with Python; - Hotword detection with Python; - Automate linkedin connections using Python, and more… I have explained every topic in the most simplest way and you can use these topics in multiple place.

Название: The Rise of AI User Applications: Chatbots Integration Foundations and Trends
Автор: Svetlana Bialkova
Издательство: Springer
Год: 2024
Страниц: 257
Язык: английский
Формат: pdf (true), epub
Размер: 17.6 MB

This monograph introduces readers to core theories and applications in the chatbot AI context. Although AI is attracting significant attention, there is a literature gap and lack of practical guidelines on the key drivers of chatbot efficiency and agency capacity. There is a caveat between algorithmic explanations and actionable understanding, despite the acknowledged importance of inherently human-centric properties. Addressing these gaps, this state-of-the-art book offers a distinctive combination of content, theory, practice evaluation, and a holistic framework encompassing cognitive, emotional and social aspects, focusing on how to enhance AI agency and user experience. The framework aims to drive design, encouraging development of intelligent systems, techniques to evaluate chatbot with purposes, to appropriately meet user needs and market demand for responsible and explainable AI, XAI. Avenues for transforming business and life by implementing new generation AI systems are further discussed, as well as recommendations to overcome consumer resistance and advice for policy measures to reduce risks given the AI boost.

Название: Android Malware Detection and Adversarial Methods
Автор: Weina Niu, Xiaosong Zhang, Ran Yan
Издательство: Springer
Год: 2024
Страниц: 197
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

The rise of Android malware poses a significant threat to users’ information security and privacy. Malicious software can inflict severe harm on users by employing various tactics, including deception, personal information theft, and device control. To address this issue, both academia and industry are continually engaged in research and development efforts focused on detecting and countering Android malware. This book is a comprehensive academic monograph crafted against this backdrop. The publication meticulously explores the background, methods, adversarial approaches, and future trends related to Android malware. This book is divided into four parts, covering all aspects of Android malware detection. The first part is an overview of Android malware. Through an overview of Android malware detection, it provides readers with an overall understanding of this field. The second part is the general method of Android malware detection, including signature-based malware detection method, behavior-based malware detection method, and artificial intelligence-based malware detection method. These methods are currently widely researched and applied technologies. By introducing their principles and applications in detail, readers can have an in-depth understanding and apply them to actual malware detection work. The third part is Android malware detection and adversarial methods, including static adversarial methods in Android, dynamic adversarial methods in Android, and adversarial technology in machine learning. These methods are designed to help readers understand and respond to the adversarial behavior of malware and improve detection accuracy and effectiveness. Finally, the fourth part is about the future trends of Android malware. By discussing future development trends, it shows readers the cutting-edge research and development directions in this field.

Название: Android Studio Hedgehog Essentials - Kotlin Edition: Developing Android Apps Using Android Studio 2023.1.1 and Kotlin
Автор: Neil Smyth
Издательство: Payload Media
Год: 2023
Страниц: 1263
Язык: английский
Формат: epub (true)
Размер: 56.7 MB

Fully updated for Android Studio Hedgehog (2023.1.1) and the new UI, this book teaches you how to develop Android-based applications using the Kotlin programming language. This book begins with the basics and outlines how to set up an Android development and testing environment, followed by an introduction to programming in Kotlin, including data types, control flow, functions, lambdas, and object-oriented programming. Asynchronous programming using Kotlin coroutines and flow is also covered in detail. The primary goals of the Kotlin language are to make code both concise and safe. Code is generally considered concise when it can be easily read and understood. Conciseness also plays a role when writing code, allowing code to be written more quickly and with greater efficiency. In terms of safety, Kotlin includes a number of features that improve the chances that potential problems will be identified when the code is being written instead of causing runtime crashes. A third objective in the design and implementation of Kotlin involves interoperability with Java. Chapters also cover the Android Architecture Components, including view models, lifecycle management, Room database access, the Database Inspector, app navigation, live data, and data binding. Assuming you already have some programming experience, are ready to download Android Studio and the Android SDK, have access to a Windows, Mac, or Linux system, and have ideas for some apps to develop, you are ready to get started.

Название: Android Studio Iguana Essentials - Java Edition: Developing Android Apps Using Android Studio 2023.2.1 and Java
Автор: Neil Smyth
Издательство: Payload Media
Год: 2024
Страниц: 792
Язык: английский
Формат: epub (true)
Размер: 59.4 MB

This book, fully updated for Android Studio Iguana (2023.2.1) and the new UI, teaches you how to develop Android-based applications using the Java programming language. This book begins with the basics and outlines how to set up an Android development and testing environment, followed by an overview of areas such as tool windows, the code editor, and the Layout Editor tool. An introduction to the architecture of Android is followed by an in-depth look at the design of Android applications and user interfaces using the Android Studio environment. Chapters also cover the Android Architecture Components, including view models, lifecycle management, Room database access, content providers, the Database Inspector, app navigation, live data, and data binding. More advanced topics, such as intents, are also covered, as are touch screen handling, gesture recognition, and audio recording and playback. This book edition also covers printing, transitions, and foldable device support. Assuming you already have some Java programming experience, are ready to download Android Studio and the Android SDK, have access to a Windows, Mac, or Linux system, and have ideas for some apps to develop, you are ready to get started.

Название: Mobile System Design: Resourceful Engineering (Early Release v005b)
Автор: Tjeerd in 't Veen
Издательство: Independently published
Год: 2024
Страниц: 315
Язык: английский
Формат: pdf, epub
Размер: 22.1 MB

The term "System Design" is nebulous, because it touches upon many overlapping software design practices that fall under the umbrella of Software Architecture, such as: domain modeling, architectural patterns, API design, or component design. With this book, we try to define System Design as designing a technical solution to satisfy business requirements. To put it simply: You receive requirements, and you have to figure out what components to make and how they work together to solve the business’ needs. Specifically in this book, we narrow it down to business requirements, since it mostly reflects requirements found at work. As opposed to any software requirements, such as hobby projects and toy apps where a lot more rules can be broken. Another way to think about System Design is coming up with the components and their APIs to solve a problem. This book uses Swift as a vehicle to explain concepts and best practices, and it's not relying a lot on iOS specifically. This book focuses mostly on concepts, mental tools, reasoning, and approaches. With some basic programming knowledge you'll be able to understand the Swift code examples with ease. We won't go too deep about platform or language-specific requirements. Where needed, the book explains specific Swift keywords. So whether you're an iOS engineer, Android engineer or use Flutter, React Native or other mobile platforms, you can apply the knowledge from this book.

Название: Data Mining with Python: Theory, Application, and Case Studies
Автор: Di Wu
Издательство: CRC Press
Серия: The Python Series
Год: 2024
Страниц: 415
Язык: английский
Формат: pdf (true)
Размер: 13.8 MB

Data is everywhere and it’s growing at an unprecedented rate. But making sense of all that data is a challenge. Data Mining is the process of discovering patterns and knowledge from large data sets, and Data Mining with Python focuses on the hands-on approach to learning Data Mining. It showcases how to use Python Packages to fulfill the Data Mining pipeline, which is to collect, integrate, manipulate, clean, process, organize, and analyze data for knowledge. The contents are organized based on the Data Mining pipeline, so readers can naturally progress step by step through the process. Topics, methods, and tools are explained in three aspects: “What it is” as a theoretical background, “why we need it” as an application orientation, and “how we do it” as a case study. Data collection is a crucial step in the process of obtaining valuable insights and making informed decisions. In today’s interconnected world, data can be found in a multitude of sources, ranging from traditional files such as .csv, .html, .txt, .xlsx, .html, and .json, to databases powered by SQL, websites hosting relevant information, and APIs (Application Programming Interfaces) offered by companies. To efficiently gather data from these diverse sources, various tools can be employed. Python offers a rich ecosystem of packages for data collection. Some commonly used Python packages for data collection include: including: Pandas, BeautifulSoup, Requests, mysql-connector-python, psycopg2, and sqlite3. This book is designed to give students, data scientists, and business analysts an understanding of Data Mining concepts in an applicable way. Through interactive tutorials that can be run, modified, and used for a more comprehensive learning experience, this book will help its readers to gain practical skills to implement Data Mining techniques in their work.