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Learn Python Programming
This edition offers updated content covering Python 3.9 to 3.12, new chapters on type hinting and CLI applications, and expanded practical examples, making it the ideal resource for both new and experienced Python programmersKey FeaturesCreate and deploy APIs and CLI applications, leveraging Python’s strengths in scripting and automationStay current with the latest features and improvements in Python, including pattern matching and the latest exception handling syntaxEngage with new real-world examples and projects, including competitive programming problems, to solidify your understanding of PythonBook DescriptionLearn Python Programming, Fourth Edition, provides a comprehensive, up-to-date introduction to Python programming, covering fundamental concepts and practical applications. This edition has been meticulously updated to include the latest features from Python versions 3.9 to 3.12, new chapters on type hinting and CLI applications, and updated examples reflecting modern Python web development practices. This Python book empowers you to take ownership of writing your software and become independent in fetching the resources you need. By the end of this book, you will have a clear idea of where to go and how to build on what you have learned from the book.Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned. This Python book offers a clear and practical guide to mastering Python and applying it effectively in various domains, such as data science, web development, and automation.What you will learnInstall and set up Python on Windows, Mac, and LinuxWrite elegant, reusable, and efficient codeAvoid common pitfalls such as duplication and over-engineeringUse functional and object-oriented programming approaches appropriatelyBuild APIs with FastAPI and program CLI applicationsUnderstand data persistence and cryptography for secure applicationsManipulate data efficiently using Python's built-in data structuresPackage your applications for distribution via the Python Package Index (PyPI)Solve competitive programming problems with PythonWho this book is forThis Python programming book is for everyone who wants to learn Python from scratch, as well as experienced programmers looking for a reference book. Prior knowledge of basic programming concepts will help you follow along, but it’s not a prerequisite
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AI-Assisted Python for Nonprogrammers
It's hard to exaggerate Python's popularity: It's used for everything from data science to servers to the web. It's also famously "easy" to learn. However, learning to program in Python can still be a frustrating experience. AI-Assisted Python for Nonprogrammers is designed to give you the context you need to build a deep understanding not just of Python's syntax but also of the concepts behind it, even if you don't have any previous programming experience.Through clear explanations and explorations, author Reuven Lerner will have you writing simple Python programs in no time. By collaborating with AI chatbots to complete focused hands-on exercises, you'll reinforce core concepts like variables and values, conditions and loops, functions, and modules (while also getting a taste of coding with GenAI). But most importantly, you'll learn how to think about computers and software like a programmer—setting you up to better participate in technical conversations at your job and understand the influence of technology on our world.Write simple Python programs using core data structures, conditions, and loopsWrite and use Python functionsUse Python modulesGain the confidence to continue your Python journey
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Python for Engineers and Scientists
This book equips technical professionals with a complete, structured path to mastering Python for real-world engineering and scientific applications. As Python becomes central to research labs, automation, simulation, and data-driven engineering, the learning curve remains steep. This book bridges that gap with a practical roadmap from fundamentals to professional-grade scientific computing.The book begins by building a strong programming foundation—covering Python’s architecture, essential syntax, data structures, modules, functions, control flow, and object-oriented design. Readers learn not only how to write Python, but why the language behaves the way it does, ensuring deep understanding and strong problem-solving skills. From there, the focus shifts to practical engineering tools. Dedicated chapters train readers in file handling, math modules, and key scientific libraries including NumPy, SciPy, Pandas, and Matplotlib, enabling efficient computation, signal processing, data analysis, and high-quality visualization. Advanced chapters then showcase Python’s versatility through GUI development with Kivy, database work with SQLAlchemy, and hands-on control system modeling and analysis. Each topic is rooted in industry and academic scenarios, making the content directly applicable to automation, simulation, data workflows, and engineering computation.Whether you're a student building foundational skills or a professional modernizing engineering workflows, this guide provides the programming depth, scientific tools, and applied knowledge needed to use Python confidently for prototyping, simulation, analysis, and automation. It is the one-stop resource for mastering Python in technical disciplines.What you will learn:Learn core Python programming concepts, including variables, loops, functions, and object-oriented principles in a scientific and engineering context.Build strong skills in key scientific Python libraries such as NumPy, Pandas, Matplotlib, and SciPy for computation, analysis, and visualization.Apply Python to real-world engineering scenarios, including dynamic control systems and automation workflows.Develop interactive engineering applications by creating graphical user interfaces (GUIs) with Kivy. Who this book is for:This book is intended for practicing engineers and scientists across various disciplines of engineering who need to use Python for complex problem-solving, simulation, and data analysis in their work.
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Think Python
Python is an excellent way to get started in programming, and this clear, concise guide walks you through Python a step at a time-beginning with basic programming concepts before moving on to functions, data structures, and object-oriented design. This revised third edition reflects the growing role of large language models (LLMs) in programming and includes exercises on effective LLM prompts, testing code, and debugging skills.With this popular hands-on guide at your side, you'll get:A grounding in the syntax and semantics of the Python languageA clear definition of each programming concept, with emphasis on clear vocabularyHow to work with variables, statements, functions, and data structures in a logical progressionTechniques for reading and writing files and databasesA solid understanding of objects, methods, and object-oriented programmingDebugging strategies for syntax, runtime, and semantic errorsAn introduction to recursion, interface design, data structures, and basic algorithmsHow to use LLMs-including effective prompts, testing code, and debuggingAnd more
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Python Programming
Maintaining a practical perspective, Python Programming: A Practical Approach acquaints you with the wonderful world of programming. The book is a starting point for those who want to learn Python programming. The backbone of any programming, which is the data structure and components such as strings, lists, etc., have been illustrated with many examples and enough practice problems to instill a level of self-confidence in the reader.Drawing on knowledge gained directly from teaching Computer Science as a subject and working on a wide range of projects related to ML, AI, deep learning, and blockchain, the authors have tried their best to present the necessary skills for a Python programmer. Once the foundation of Python programming is built and the readers are aware of the exact structure, dimensions, processing, building blocks, and representation of data, they can readily take up their specific problems from the area of interest and solve them with the help of Python. These include, but are not limited to, operators, control flow, strings, functions, module processing, object-oriented programming, exception and file handling, multithreading, synchronization, regular expressions, and Python database programming.This book on Python programming is specially designed to keep readers busy with learning fundamentals and generates a sense of confidence by attempting the assignment problems. We firmly believe that explaining any particular technology deviates from learning the fundamentals of a programming language. This book is focused on helping readers attempt implementation in their areas of interest through the skills imparted through this book. We have attempted to present the real essence of Python programming, which you can confidently apply in real life by using Python as a tool.Salient Features Based on real-world requirements and solution. Simple presentation without avoiding necessary details of the topic. Executable programs on almost every topic. Plenty of exercise questions, designed to test readers’ skills and understanding.Purposefully designed to be instantly applicable, Python Programming: A Practical Approach provides implementation examples so that the described subject matter can be immediately implemented due to the well-known versatility of Python in handling different data types with ease.
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Python Made Easy
Python has become one of the most versatile and widely used programming languages, known for its simplicity and efficiency. Python Made Easy is designed to help beginner developers easily learn the fundamentals and intermediate concepts of Python. This book provides a structured approach to learning Python, covering essential topics from basic syntax to complex data structures and numerical computing. The book starts with an introduction to Python, explaining its advantages, drawbacks, and the importance of style guides. It then delves into key programming concepts, including variables, lists, strings, dictionaries, tuples, and rare data structures, helping readers build a strong foundation. Readers will also explore loops, conditional statements, Boolean logic, essential mathematical operations, and NumPy's use for numerical computations. Complex topics such as object-oriented programming, inheritance, file handling, unit testing, and data visualization using Matplotlib are covered in depth. Additionally, the book introduces practical applications in numerical mathematics, including Monte Carlo integration and differential equations. By the end, readers will have an understanding of Python's core principles and practical applications, empowering them to write efficient, scalable, and well-structured code. This book is particularly helpful if you already know some other programming language and you want to kick start your Python knowledge. What you will learn: Understand Python fundamentals, including variables, loops, and data structures. What is object-oriented programming, inheritance, and file handling. Explore numerical computing with NumPy and data visualization using Matplotlib. Gain hands-on experience with unit testing, Monte Carlo integration, and real-world applications. Who this book is for: Beginners and aspiring programmers, software professionals transitioning to Python and students
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