Python Crash Course is the world’s bestselling programming book, with over 1,500,000 copies sold to date!Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction will have you writing programs, solving problems, and developing functioning applications in no time.You’ll start by learning basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You’ll also learn how to make your programs interactive and test your code safely before adding it to a project. You’ll put your new knowledge into practice by creating a Space Invaders–inspired arcade game, building a set of data visualizations with Python’s handy libraries, and deploying a simple application online.As you work through the book, you’ll learn how to:Use powerful Python libraries and tools, including pytest, Pygame, Matplotlib, Plotly, and DjangoMake increasingly complex 2D games that respond to keypresses and mouse clicksGenerate interactive data visualizations using a variety of datasetsBuild apps that allow users to create accounts and manage their own data, and deploy your apps online Troubleshoot coding errors and solve common programming problems New to this edition: This third edition is completely revised to reflect the latest in Python code. New and updated coverage includes VS Code for text editing, the pathlib module for file handling, pytest for testing your code, as well as the latest features of Matplotlib, Plotly, and Django.If you’ve been thinking about digging into programming, Python Crash Course will provide you with the skills to write real programs fast. Why wait any longer? Start your engines and code!Covers Python 3.x Read more

Created for developers of all skill levels to find the essentials of common operations combined with the fastest reference guide for writing code. This handy 6 page laminated guide is a concise desktop reference to key concepts behind Python logic, syntax, and operation. Expertly written to concisely cover the planning of a program written in Python, assigning your first variables, importing other libraries, formatting output strings, and creating classes. Beginning students or seasoned programmers will find this tool a perfect go-to for reference to those core concepts. This unbeatable value makes it easy to add this reference to your programmer’s toolbox. 6 page laminated guide includes: Working with Python Using Python Code Importing Modules Scope (Indentation) Naming Conventions Reserved Keywords Comments Writing Code Basics Making Variables Types Console Error Handling Saving & Loading Files Coding Structures Math Operators (int, float & complex) List Operations (list, tuple & dict) Strings Statements Functions Dictionaries Using Structures String Formatting String Methods Escape Sequences Bool Characters Writing Boolean Statements Recursion & Iteration Classes Coding Concepts Inheritance Generators Polymorphism Lambda Expressions Read more

Learn how to code while you write programs that effortlessly perform useful feats of automation!The second edition of this international fan favorite includes a brand-new chapter on input validation, Gmail and Google Sheets automations, tips for updating CSV files, and more.If you've ever spent hours renaming files or updating spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? Automate the Boring Stuff with Python, 2nd Edition teaches even the technically uninclined how to write programs that do in minutes what would take hours to do by hand—no prior coding experience required!This new, fully revised edition of Al Sweigart’s bestselling Pythonic classic, Automate the Boring Stuff with Python, covers all the basics of Python 3 while exploring its rich library of modules for performing specific tasks, like scraping data off the Web, filling out forms, renaming files, organizing folders, sending email responses, and merging, splitting, or encrypting PDFs. There’s also a brand-new chapter on input validation, tutorials on automating Gmail and Google Sheets, tips on automatically updating CSV files, and other recent feats of automations that improve your efficiency.Detailed, step-by-step instructions walk you through each program, allowing you to create useful tools as you build out your programming skills, and updated practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks. Boring tasks no longer have to take to get through—and neither does learning Python! Read more

The Ultimate Python Programming for Beginners 360° Bootcamp 2025❌ Struggling to learn Python?❌ Feeling stuck, unable to apply Python to real-world projects?❌ Tired of wasting time on repetitive tasks that Python could automate for you?❌ Want to fast-track your Python skills and start coding with confidence?If yes, then this 3-in-1 Python bundle is exactly what you need!Python is one of the most in-demand programming languages, driving AI, web development, data science, and automation. But most guides focus only on theory—leaving you wondering how to apply your skills in the real world.This step-by-step bundle provides a 360° learning experience, combining Python fundamentals with hands-on, real-world projects to ensure you don’t just learn—you apply. Unlike other books, it includes a dedicated Real-World Python Projects & Fast Track Career Guide, helping you build practical applications and gain job-ready skills that set you apart.Perfect for beginners, this bundle takes you from hands-on exercises to industry-relevant projects, ensuring you develop the confidence and expertise to write efficient Python code, automate tasks, and create impactful applications.Here's What You'll Master:Book 1: Python Basics & Gamified Learning- Master Python fundamentals: Learn variables, loops, functions, and object-oriented programming through interactive lessons.- Develop logical thinking: Solve engaging coding challenges and strengthen problem-solving skills.- Write real Python scripts: Work through hands-on exercises and mini-projects to solidify your learning.- Gain confidence : Start coding with zero prior experience and build a strong programming foundation.and so much more...Book 2: Real-World Python Projects & Fast Track Career Guide- Master data handling: Work with Pandas, NumPy, and Matplotlib for data analysis and visualization.- Develop web applications: Learn Flask and Django to create dynamic websites.- Work with APIs: Fetch, send, and integrate data from REST APIs for live applications.- Solve real-world problems: Develop scripts for data processing, web scraping, and automation.and so much more...Book 3: Python Automation Mastery:- Web Scraping & API Integration: Extract real-time data from websites and automate data collection.- Automate Emails & File Management: Write scripts to send scheduled emails and organize files automatically.- Task Scheduling & Workflow Optimization: Set up cron jobs and task schedulers to run scripts on autopilot.- Advanced Python Automation Projects: Build business automation, productivity optimization, and system management tasks.and so much more...Unlike generic Python books, this action-driven bundle focuses on learning by doing, ensuring you apply Python in real-world scenarios instead of just memorizing theory. Whether you're an aspiring developer or an intermediate programmer, this bundle equips you with job-ready skills.By the end, you’ll be writing efficient code, building practical applications, and automating tasks like a pro, ready to use Python with confidence in your career or projects.Stop struggling—learn Python the right way!Scroll up and Click 'Buy Now' and start coding with confidence! 🚀 Read more

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurélien Géron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started. Use Scikit-learn to track an example ML project end to end Explore several models, including support vector machines, decision trees, random forests, and ensemble methods Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning Read more

Coding Interview Patterns - Nail Your Next Coding InterviewCoding interviews are tough, and they're only getting tougher, typically demanding months of preparation. What we all want is a way to master algorithms and data structures without having to spend countless hours sifting through endless, unfocussed resources. Introducing "Coding Interview Patterns," your complete guide to mastering the key patterns needed to ace your next coding interview.What’s inside?An insider’s perspective on what interviewers are truly looking for and why.101 real coding interview problems with detailed solutions.Intuitive explanations that guide you through each problem as if you were solving it in a live interview.1000+ diagrams to illustrate key concepts and patterns.Table of ContentsChapter 1: Two PointersChapter 2: Hash Maps and SetsChapter 3: Linked ListsChapter 4: Fast and Slow PointersChapter 5: Sliding WindowsChapter 6: Binary SearchChapter 7: StacksChapter 8: HeapsChapter 9: IntervalsChapter 10: Prefix SumsChapter 11: TreesChapter 12: TriesChapter 13: GraphsChapter 14: BacktrackingChapter 15: Dynamic ProgrammingChapter 16: GreedyChapter 17: Sort and SearchChapter 18: Bit ManipulationChapter 19: Math and Geometry Read more

Games and activities that teach kids ages 10+ to code with PythonLearning to code isn't as hard as it sounds―you just have to get started! Coding for Kids: Python starts kids off right with 50 fun, interactive activities that teach them the basics of the Python programming language. From learning the essential building blocks of programming to creating their very own games, kids will progress through unique lessons packed with helpful examples―and a little silliness!Kids will follow along by starting to code (and debug their code) step by step, seeing the results of their coding in real time. Activities at the end of each chapter help test their new knowledge by combining multiple concepts. For young programmers who really want to show off their creativity, there are extra tricky challenges to tackle after each chapter. All kids need to get started is a computer and this book.This beginner's guide to Python for kids includes:50 Innovative exercises―Coding concepts come to life with game-based exercises for creating code blocks, drawing pictures using a prewritten module, and more.Easy-to-follow guidance―New coders will be supported by thorough instructions, sample code, and explanations of new programming terms.Engaging visual lessons―Colorful illustrations and screenshots for reference help capture kids' interest and keep lessons clear and simple.Encourage kids to think independently and have fun learning an amazing new skill with this coding book for kids. Read more

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An extremely handy programmer’s standard library reference that is as durable as it is portable. This 6 page laminated guide includes essential script modules used by developers of all skill levels to simplify the process of programming in Python. This guide is all script and is organized to find needed script quickly. As with QuickStudy reference on any subject, with continued reference, the format lends itself to memorization. Beginning students or seasoned programmers will find this tool a perfect go-to for the at-a-glance script answer and memory jog you might need. At this price and for the bank of script included it’s an easy add to your programmer’s toolbox. 6 page laminated guide includes: General FunctionalityDate/Time ProcessingSystem and Computer Controls OS ModuleClasses of the OS ModulePathlib ModuleThreading ModuleDebugging Functionality PDB ModuleDebugging for the PDB ModuleMathematic and Numeric Operations Math ModuleRandom ModuleIterable and Iterator Operations Collections ModuleClasses of the Collections ModuleItertools ModuleWeb and Data Transfer Operations HTML Parser ModuleHTML ModuleAudio Manipulation Read more

This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch's simple to code framework.Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn applied machine learning with a solid foundation in theoryClear, intuitive explanations take you deep into the theory and practice of Python machine learningFully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practicesBook DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself.Why PyTorch?PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric.You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP).This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learnExplore frameworks, models, and techniques for machines to 'learn' from dataUse scikit-learn for machine learning and PyTorch for deep learningTrain machine learning classifiers on images, text, and moreBuild and train neural networks, transformers, and boosting algorithmsDiscover best practices for evaluating and tuning modelsPredict continuous target outcomes using regression analysisDig deeper into textual and social media data using sentiment analysisWho this book is forIf you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch.Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.Table of ContentsGiving Computers the Ability to Learn from DataTraining Simple Machine Learning Algorithms for ClassificationA Tour of Machine Learning Classifiers Using Scikit-LearnBuilding Good Training Datasets – Data PreprocessingCompressing Data via Dimensionality ReductionLearning Best Practices for Model Evaluation and Hyperparameter TuningCombining Different Models for Ensemble LearningApplying Machine Learning to Sentiment AnalysisPredicting Continuous Target Variables with Regression AnalysisWorking with Unlabeled Data – Clustering AnalysisImplementing a Multilayer Artificial Neural Network from Scratch(N.B. Please use the Look Inside option to see further chapters) Read more

(2nd Edition: Covers Object Oriented Programming) Learn Python Fast and Learn It Well. Master Python Programming with a unique Hands-On Project.Have you always wanted to learn computer programming but are afraid it'll be too difficult for you? Or perhaps you know other programming languages but are interested in learning the Python language fast? This book is for you. You no longer have to waste your time and money learning Python from lengthy books, expensive online courses or complicated Python tutorials.What this book offers...Python for Beginners Complex concepts are broken down into simple steps to ensure that you can easily master the Python language even if you have never coded before. Carefully Chosen Python Examples Examples are carefully chosen to illustrate all concepts. In addition, the output for all examples are provided immediately so you do not have to wait till you have access to your computer to test the examples. Careful selection of topics Topics are carefully selected to give you a broad exposure to Python, while not overwhelming you with information overload. These topics include object-oriented programming concepts, error handling techniques, file handling techniques and more. Learn The Python Programming Language Fast Concepts are presented in a "to-the-point" style to cater to the busy individual. With this book, you can learn Python in just one day and start coding immediately.How is this book different...The best way to learn Python is by doing. This book includes a complete project at the end of the book that requires the application of all the concepts taught previously. Working through the project will not only give you an immense sense of achievement, it"ll also help you retain the knowledge and master the language. Are you ready to dip your toes into the exciting world of Python coding? This book is for you. With the first edition of this book being a #1 best-selling programming ebook on Amazon for more than a year, you can rest assured that this new and improved edition is the perfect book for you to learn the Python programming language fast. Click the BUY button and download it now.What you'll learn:- What is Python? - What software you need to code and run Python programs? - What are variables? - What are the common data types in Python? - What are Lists and Tuples? - How to format strings - How to accept user inputs and display outputs - How to control the flow of program with loops - How to handle errors and exceptions - What are functions and modules? - How to define your own functions and modules - How to work with external files - What are objects and classes - How to write your own class - What is inheritance - What are properties - What is name mangling .. and more... Finally, you'll be guided through a hands-on project that requires the application of all the topics covered. Click the BUY button and download the book now to start learning Python. Learn it fast and learn it well. Read more

Don't waste time bending Python to fit patterns you've learned in other languages. Python's simplicity lets you become productive quickly, but often this means you aren't using everything the language has to offer. With the updated edition of this hands-on guide, you'll learn how to write effective, modern Python 3 code by leveraging its best ideas. Discover and apply idiomatic Python 3 features beyond your past experience. Author Luciano Ramalho guides you through Python's core language features and libraries and teaches you how to make your code shorter, faster, and more readable. Complete with major updates throughout, this new edition features five parts that work as five short books within the book: Data structures: Sequences, dicts, sets, Unicode, and data classes Functions as objects: First-class functions, related design patterns, and type hints in function declarations Object-oriented idioms: Composition, inheritance, mixins, interfaces, operator overloading, protocols, and more static types Control flow: Context managers, generators, coroutines, async/await, and thread/process pools Metaprogramming: Properties, attribute descriptors, class decorators, and new class metaprogramming hooks that replace or simplify metaclasses Read more

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Transform Your Career and Become a Python Pro with This Ultimate Handbook for Python Mastery in Just 7 Days or Less!Are you secretly terrified that you’ll be rendered obsolete in today’s tech-driven economy? Do you worry about staying ahead in a rapidly evolving technological landscape? Or perhaps you're seeking a career-boosting guide packed with practical lessons and insider secrets to help you conquer your fear of programming and master Python? If so, this book might be exactly what you need.In today’s hyper-technical world, Python is an essential skill that can give you a significant edge in everything from web design and app creation to artificial intelligence (AI). But if complex jargon and confusing tutorials have scared you away, how will you be able to jumpstart your programming career?This comprehensive workbook offers hands-on lessons and step-by-step instructions that demystify the art of programming. You'll gain the seasoned skills and wisdom needed to read, write, and develop top-level code – even if you don’t see yourself as a tech expert!With clear and accessible instructions designed for absolute beginners, this book provides a practical deep dive into core Python skills, including data structures, file management, object-oriented programming, and much more. It’s your secret weapon to boost your confidence and set your career on an exciting new path and trajectory.Inside This Ultimate Blueprint for Mastering Python, You Will:Conquer Your Fear of Coding: Practical lessons and easy-to-understand advice help you stop stressing about programming and familiarize yourself with core skills.Master Beginner & Advanced Code: Build your coding toolkit and confidence with variables, loops, data types, control flows, conditions, object-oriented programming, and more.Troubleshoot Beginner Errors: Learn to effortlessly handle errors that often stump new programmers.Apply Real-World Python Skills: Become an invaluable team member by mastering data management, analysis, project automation, and web development.Launch Your Dream Career: Imagine unlocking a lucrative new job in tech. This book equips you with the skills needed to gain a powerful edge over your competition.Plus a Bonus 37 Precise Exercises: Featuring secret coding tips from industry insiders to help you become a Python pro!Here Are Some of the Skills You Will Learn from This Book:Effortlessly Set Up Python and Its Integrated Development Environments (IDEs): Transform your computer into a powerful coding machine ready to tackle any task.Understand Variables, Loops, and Data Types: Learn with clear, concise examples that make these concepts stick—forever.Handle Python Data Structures: Follow step-by-step instructions to become proficient and efficient at manipulating data like a seasoned coder.Master Control Flows and Conditionals: Automate and streamline tasks, reducing hours of manual work into mere minutes of coding.Get Hands-On with Object-Oriented Programming: This cornerstone of modern programming will elevate your coding skills from basic to brilliant.Manage Files and Handle Errors: Learn to protect and manage data effectively, making you a reliable and valuable tech team member.Imagine effortlessly harnessing the power of Python to change your career, stay up-to-date with the latest advancements, and position yourself at the cutting edge of technology. Forget about spending hundreds of dollars on expensive coursesPython Programming for Beginners is an essential guide that demystifies the world of Python programming.Are you ready to embrace the power of Python programming and transform your career? Scroll up and click the “Buy Now” button today! Read more

The bestselling introduction to Python programming, revised to include the latest Python features, improved explanations, and new chapters about databases and sound files.If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do this work for you?In this fully revised third edition of Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Early chapters will teach you the fundamentals of Python through clear explanations and engaging examples. You’ll write your first Python program; work with strings, lists, dictionaries, and other data structures; then use regular expressions to find and manipulate text patterns. Once you’ve mastered the basics, you’ll tackle projects that teach you to use Python to automate tasks like: Searching the web, downloading content, and filling out formsFinding, extracting, and manipulating text and data in files and spreadsheetsCopying, moving, renaming, or compressing saved files on your computerSplitting, merging, and extracting text from PDFs and Word documentsInteracting with applications through custom mouse and keyboard macrosManaging your inbox, unsubscribing from lists, and sending email or text notificationsNew to this edition: All code and examples have been thoroughly updated. You’ll also find four new chapters on database integration, speech recognition, and audio and video editing, as well as 16 new programming projects and expanded coverage of developer techniques like creating command line programs.Don’t spend your time on work a well-trained monkey could do. Even if you’ve never written a line of code, you can pass off that grunt work to your computer. Learn how in Automate the Boring Stuff with Python. Read more

The Ultimate Beginner's Guide to Learning Python in 2025!**Includes FREE Digital Bonuses! GitHub Repository, Cheat Sheets, and More!**Learn Why QuickStart Guides are Loved by Over 1 Million Readers Around the WorldLearn Python fundamentals that can be used in any programming setting – use the guidance in this book to program your own game in a unique and practical Python learning experience.The Easiest Way to Learn Python in a Comprehensive, Step-by-Step GuideFrom AI and machine learning to video game, app, and web development, Python is a critical behind-the-scenes component of everyday technology.Python powers the services of household names like Google, Netflix, and Spotify along with tech pioneers like NASA, IBM, and Intel. Put simply, Python is the in-demand and easy-to-learn programming language that gets stuff done.In Python QuickStart Guide, senior developer and programmer Robert Oliver lays out the quickest and most accessible path yet to the mastery of Python fundamentals.Written by a Programming Expert with Over 20 Years of ExperienceDistilling his experience drawn from over two decades of working with Python and other programming languages, Robert’s clear voice and writing present a practical, hands-on approach that anyone, at any experience level, can use to become a Python programmer.It doesn’t matter if you are a new or existing programmer, a job seeker looking for a career change or promotion, or just someone who wants to learn how to automate basic tasks with Python—Robert’s step-by-step approach, complete with a hands-on companion Python video game project, is the perfect starting point to master Python fundamentals!Python QuickStart Guide is Perfect for:New or experienced programmers looking to enhance their career opportunities with an in-demand programming languageJob seekers who want to supercharge their resumes and increase their value in the job marketplaceStudents or recent college grads who have their sights set on a lucrative position in the tech industryFull stack developers or programmers who need to round out their programming skills to take on new projectsAnyone who wants to explore the world of programming, use Python to automate tedious tasks, or enhance their resume and future-proof their skills!With Python QuickStart Guide, You'll Easily Understand These Crucial Concepts:How to Use Python – Practical Examples, Code Snippets, Plus Follow Along to Code Your Own Game!Python Fundamentals – How to Use Python for Web Design and Interfacing with GitHub, SQL, and Other ApplicationsObject-Oriented Programming Principles – Managing Data, Scripts, Logic, Inputs, Outputs, and More!Programming Essentials – Debugging, Producing Clean Code, Best Practices, Time-Savers, and TipsPython Next Steps –Testing, Optimization, Speed Improvements, and More!Go Beyond the Book with Exclusive QuickClips VideosLook for QuickClips QR codes when reading this book. Scan to access exclusive videos directly from the author at key points to enhance your learning and go beyond the book!**LIFETIME ACCESS TO FREE BONUS RESOURCES**Python QuickStart Guide comes with lifetime access to FREE digital resources you can access from inside the book! Each of these bonuses is crafted with our expert author to help you become a better programmer including:GitHub Code RepositoryRegular Expressions Cheat SheetPython resource library and more! Read more

To really learn data science, you should not only master the tools―data science libraries, frameworks, modules, and toolkits―but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability―and how and when they’re used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases Read more

Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information". Read more

Everything you need to know to get into Python coding, with 7 books in onePython All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language. Get started coding in Python―even if you’re new to computer programmingReference all the essentials and the latest updates, so your code is air-tightLearn how Python can be a solution for large-scale projects and big datasetsAccelerate your career path with this comprehensive guide to learning PythonExperienced and would-be coders alike will love this easy-to-follow guide to learning and applying Python. Read more