Learn to code with Python

Migrate from pandas and scikit-Learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na鴳e Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using

Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python. What You Will LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve real-world problems Who This Book Is ForEntry-level to mid-level Python developers from various backg

Augment your knowledge of Python with this entertaining learning guide, which features 100 exercises and programming puzzles and solutions. Python Challenges will help prepare you for your next exam or a job interview, and covers numerous practical topics such as strings, data structures, recursion, arrays, and more.Each topic is addressed in its own separate chapter, starting with an introduction to the basics and followed by 10 to 15 exercises of various degrees of difficulty, helping you to improve your programming skills effectively. Detailed sample solutions, including the algorithms used for all tasks, are included to maximize your understanding of each area. Author Michael Inden also describes alternative solutions and analyzes possible pitfalls and typical errors.Three appendices round out the book: the first covers the Python command line interpreter, which is often helpful for trying out the code snippets and examples in the book, followed by an overview of Pytest for unit te

All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.

All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.

本書基於Python語言，較為地講解了數據分析、機器學習、深度學習的相關知識，涵蓋統計學基礎、Python基礎、Python面向對象入門、在Python中操作MySQL、NumPy、pandas、Matplotlib、人工智能、Scikit-Learn及神經網絡等內容。本書還包括大量代碼和綜合練習，以及豐富的實戰案例。

Coding for a purpose: helping young people combine journalism, data, design, and code to make media that makes a difference.Educators are urged to teach “code for all”―to make a specialized field accessible for students usually excluded from it. In Code for What? Clifford Lee and Elisabeth Soep instead ask the question, “code for what?” What if coding were a justice-driven medium for storytelling rather than a narrow technical skill? What if “democratizing” computer science went beyond the usual one-off workshop and empowered youth to create digital products for social impact? Lee and Soep answer these questions with stories of a diverse group of young people in Oakland, California, who combine journalism, data, design, and code to create media that make a difference. These teenage and young adult producers created interactive projects that explored gendered and racialized dress code policies in schools; designed tools for LBGTQ+ youth experiencing discrimination; investigated facial r

Offering a new perspective, this textbook demystifies the operation of electric machines by providing an integrated understanding of electromagnetic fields, electric circuits, numerical analysis, and computer programming. It presents fundamental concepts in a rigorous manner, emphasising underlying physical modelling assumptions and limitations, and provides detailed explanations of how to implement the finite element method to explore these concepts using Python. It includes explanations of the conversion of concepts into algorithms, and algorithms into code, and examples building in complexity, from simple linear-motion electromagnets to rotating machines. Over 100 theoretical and computational end-of-chapter exercises test understanding, with solutions for instructors and downloadable Python code available online. Ideal for graduates and senior undergraduates studying electric machines, electric machine design and control, and power electronic converters and power systems engineerin

本書系統介紹了如何入門Python並利用Python進行數據處理與機器學習實戰。本書從Python的基礎安裝開始介紹，系統梳理了Python的入門語法知識，歸納介紹了圖像處理、數據文件讀寫、數據庫操作等Python基本技能；然後詳細講解了NumPy、Matplotlib、Pandas、Scipy、Scikit-learn等在數據處理、機器學習領域的應用。代碼實例涵蓋網絡爬蟲、數據處理、視覺識別、機

In this hilarious non-fiction chapter book series, a savvy cockroach shares wise tips and tricks to surviving an encounter with a charming predator who may (or may not) want to be your friend.Celeste is a cockroach, and everyone knows that cockroaches are survivors, so who better to give advice on surviving an encounter with a polite predator? Everyone also knows that taking a moonlit promenade with a deadly reticulated python (named Frank) is a very bad idea. But Celeste loves very bad ideas, and she is willing to put your life on the line to prove herself right! Need to stop a python from swallowing you head-first? Wear a lamp shade as a hat! Want to speed up a three-hundred-pound snake? Try roller skates! What's the perfect light snack for a python? A chicken! Using her superior pythonine knowledge, Celeste comes up with various strategies and solutions -- many dangerous, most absurd, but all based on the biology of pythons. Meanwhile, Frank is hatching his own plans.Rachel Poliquin

《Python機器學習實戰：基於Scikit-learn與PyTorch的神經網絡解決方案》基於作者多年的積累，通過概念及其解釋、Python代碼示例及其解釋和代碼輸出，特別針對零基礎讀者精心設計了這本機器學習進階指南。全書包含3部分16章的內容，在介紹完編程和數據處理基礎之後，探討了監督學習(如線性回歸、邏輯回歸及決策樹、樸素貝葉斯和支持向量機)、集成學習以及無監督學習(如降維和聚類等)。值得一提的是，書的最後講到了神經網絡和深度學習的基本思想，探討了人工神經網絡、卷積神經網絡和遞歸神經網絡。 《Python機器學習實戰：基於Scikit-learn與PyTorch的神經網絡解決方案》適合零基礎且希望瞭解和掌握機器學習的讀者閱讀與參考。

《Python程序設計從零開始學》是專門針對Python初學者精心編撰的，以通俗易懂的語言、精心編寫的示例、深入淺出的講解來引領讀者認識Python語言的魅力和強大潛能。 本書分為四篇共16章：第1～4章為基礎學習篇，講解Python語言的基礎知識，包括Python的開發工具、基本語法、運算符與條件選擇、循環控制等內容；第5～10章為數據結構篇，講解Python的數據結構，包括序列類型、字符串、元組、列表、字典、集合、函數、模塊與函數庫等內容；第11～13章為面向對象篇，以面向對象為基礎，講解面向對象程序設計的相關知識，包括認識面向對象、繼承機制、異常處理機制等內容；第14～16章為繪圖圖像篇，講解Python的數據輸出和繪製圖像的相關知識，包括數據流與文件、GUI界面、繪圖與圖像等內容。讀者可以通過簡潔易用的Python IDLE和Visual Studio Code集成開發環境或Python Shell 這個互動交互模式開啟程序設計之旅，學習程序的編寫和調試的基本技能。 為了教學的需要，本書每章後面都提供了課後習題及實踐題，書中範例也都提供了完整的源代碼，另外有精心錄製的教學視頻可輔助讀者學習。《Python程序設計從零開始學》敘述簡潔、清晰，範例豐富、可操作性強，適合學習Python語言的讀者作為自學用書，也適合高等院校和培訓機構作為學習Python語言的教材。

本書內容由淺入深，實例指導性強，通過大量的實例講述Python程序設計基礎，同時結合Python語言的特性，講解各類基於Python的大數據應用實例。本書全部例題代碼適用於Python3.6及更高版本。全書共13章，主要內容包括大數據及Python概述，Python基礎知識、程序流程控制結構、常用組合數據類型、函數與模塊、面向對象程序設計、文件相關操作、數據預處理和數據分析、使用NumPy進行處理數據分析、使用Pandas處理結構化數據、使用NumPy和Pandas進行數據預處理、使用scikit-learn進行機器學習，以及綜合案例。本書適合作為普通高等院校非計算機專業大數據相關課程的教材，也可以作為職業培訓教育及相關技術人員的參考用書。

本書從數據分析的基本概念和Python的基礎語法講起，然後逐步深入到Python數據分析的編程技術方面，並結合實戰重點講解了如何使用主流Python數據分析庫進行數據分析，讓讀者快速掌握Python的編程基礎知識，並對Python數據分析有更加深入的理解。本書分為13章，涵蓋的主要內容有數據分析概述、Python的特點和編程基礎、NumPy數組的基礎和進階用法、Pandas數據處理和數據分析、數據的導入導出、數據可視化，以及Python網絡爬蟲和Scikit-learn機器學習的入門知識。本書內容豐富，語言簡潔、通俗易懂，實用性強，還包含實戰案例，特別適合Python的初學者和自學者，以及缺乏編程經驗的數據分析從業人員閱讀，也適合對數據分析編程感興趣的愛好者閱讀。

React is today's most popular open-source JavaScript library for front-end web application development. React Programming: The Big Nerd Ranch Guide helps you master React hands-on, through examples crafted to help you quickly leverage its remarkable power. Based on Big Nerd Ranch's popular bootcamps, it illuminates key concepts with realistic code, guiding you step-by-step through building a complete production-ready React app with Create React App, functional components, hooks, lint rules with ESLint, React Testing Library, and Cypress. Step by step, Big Nerd Ranch instructor and expert developer Loren Klingman help you build on your current skills, as you learn how to: Set up React and get started with its tools and environment Work with styles and components Utilize React's router and flexboxes Use declarative views to write more manageable, reliable code Create carts, checkouts, fulfillment, and other ecommerce features Add authentication to your front-ends Test components and en

This full-color book will inspire you to start solving problems and creating cloud-based applications and games fast, even if you've never done it before. Not just friendly and easy, it's the first cloud development beginner's guide that puts you in control of your own learning, and empowers you to build unique programs to solve problems you care about. Microsoft and author Rob Miles have reinvented the introductory programmer's tutorial, reflecting deep research into how today's newcomers learn, and why other books fall short. This guide is packed with innovations, including its "Snaps" library of pre-built operations that are easy to combine your own unique programs, Cookie Cutter templates give you a flying start, and "Make Something Happen" projects help you build skills by creating your own programs. All example code is provided as a GitHub repository, and Miles's step by step instructions are replicated as screencast videos, hosted on YouTube and linked from the book's website. A

本書以任務為導向，全面地介紹數據分析的流程和Python數據分析庫的應用，詳細講解利用Python解決企業實際問題的方法。全書共9章，* 1章介紹了數據分析的基本概念等相關知識；* 2～6章介紹了Python數據分析的常用庫及其應用，涵蓋NumPy數值計算、Matplotlib數據可視化、pandas統計分析、使用pandas進行數據預處理、使用scikit-learn構建模型，較為全面地闡述了P

The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you're new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful dat

Anew title in The QuestKids children's series thatwas launched by In Easy Steps in 2018, designed to make learning fun forchildren.Coding with Python- Create Amazing Graphics introducescoding in Python through a variety of projects. Each one teaches new codingconcepts and results in some amazing graphics.Discover how to mix colours, make patterns, draw 2D and 3Dshapes.Learn how to use loops, variables, random numbers, andfunctions in Python. Packed with challenges, tips, and extensions to keep allbudding coders engaged and eager to keep learning and creating!To create the games in this book, children will need a desktopcomputer or a laptop. The games require a proper keyboard so will not work wellon a tablet or iPad. It is recommended that children should be supervised whenusing the internet, especially when using a new website. Thisis the UK English edition.

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specif

Thistitle is a Pearson Global Edition. The editorial team at Pearson has workedclosely with educators around the world to include content which is especiallyrelevant to an international and diverse audience.For courses in computerprogramming.A user-friendly,code-intensive introduction to C programming with case studies introducing applicationsand system programming.C How to Program is a comprehensive introduction toprogramming in C. Like other texts of the Deitels How to Program series,the books modular presentation serves as a detailed, beginner source ofinformation for college students looking to embark on a career in coding, orinstructors and software-development professionals seeking to learn how toprogram with C. The signature Deitel live-code approach presents concepts inthe context of 142 fully working programs rather than incomplete snips of code.This gives students a chance to run each program as they study it and see howtheir learning applies to real-world programming scenari

Functional and concurrent programming paradigms can help experienced object-oriented developers write high-quality software faster: code that's easier to understand, debug, optimize, and evolve. But these approaches have often been surrounded by mystification and misconceptions, leading many developers to avoid them. In Functional and Concurrent Programming, Michel Charpentier clears away the confusion, showing how to use these features safely and well, so you can gain their benefits without their pitfalls. Writing for developers with some object-oriented experience in Java, C++, C#, Python, or elsewhere, Charpentier teaches key concepts through the use of realistic, modern examples: code written in Scala, but relevant to users of any modern object-oriented language. As a hybrid language, Scala can be used effectively to illustrate both object-oriented and functional programming; it offers advanced features for concurrency; and it interoperates with Java, and can use many components of

本書為數據應用開發與服務（Python）1+X職業技能等級證書配套系列教材之一，以《數據應用開發與服務（Python）職業技能等級標準（初級）》為依據，由北京中軟國際信息技術有限公司主持編寫。 本書採用項目化編寫模式，共分為5個項目：項目1介紹在Windows上安裝和配置Python運行環境，並分別使用Visual Studio Code（VS Code）和Jupyter Lab編寫、調試和運行Python程序；項目2介紹如何使用Python的語法規則、語言特性和面向對象的編程方法設計和編寫基於控制台的應用程序；項目3介紹高性能科學計算和數據分析模塊包numpy和pandas的使用方法；項目4介紹如何從格式化文件和數據庫中採集數據；項目5介紹數據處理的基本方法，包括缺失值和重複值的檢測與處理、對原始數據集劃分子集、獲取描述性統計信息、以可視化方式展現數據分佈情況等。全書通過構建34個學習任務，引導學生學習Python應用開發的相關知識與技能，並培養學生應用所學完成實際任務的能力。 本書配套微課視頻、電子課件（PPT）、任務源代碼、習題解答等數字化學習資源。與本書配套的數字課程“數據應用開發與服務（Python）”在“智慧職教”網站（www.icve.com.cn）上線，學習者可以登錄網站進行在線學習，也可以通過掃描書中二維碼觀看教學視頻，詳見“智慧職教”服務指南。教師可發郵件至編輯郵箱1548103297@qq.com索取相關教學資源。 本書為數據應用開發與服務（Python）1+X職業技能等級證書配套教材，也是高職高專院校計算機及相關專業Python程序設計課程的教材，還可作為Python初學者的自學參考書，為將來從事與Python應用相關的多源數據採集、數據預處理、數據建模、數據可視化、特徵選取、模型優化、模型部署、模型應用等工作打下良好基礎。

With a foreword by Gitanjali Rao, Time Magazine’s inaugural Kid of the Year, this engaging guide from MITeen Press teaches anyone to design and publish their own apps—no experience necessary!—and introduces young app creators from around the world.Have you ever wanted to build your own mobile apps? App Inventor, a free and revolutionary online program from MIT, lets you do just that. With the help of this companion guide chock-full of colorful graphics and easy-to-follow instructions, readers can learn how to create six different apps, including a working piano, a maze game, and even their own chat app to communicate with friends—then use what they’ve learned to build apps of their own imagination. User-friendly code blocks that snap together allow even beginners to quickly create working apps. Readers will also learn about young inventors already using their own apps to make a difference in their communities, such as the girls from Moldova whose app helps alert residents when local we

With a foreword by Gitanjali Rao, Time Magazine’s inaugural Kid of the Year, this engaging guide from MITeen Press teaches anyone to design and publish their own apps—no experience necessary!—and introduces young app creators from around the world.Have you ever wanted to build your own mobile apps? App Inventor, a free and revolutionary online program from MIT, lets you do just that. With the help of this companion guide chock-full of colorful graphics and easy-to-follow instructions, readers can learn how to create six different apps, including a working piano, a maze game, and even their own chat app to communicate with friends—then use what they’ve learned to build apps of their own imagination. User-friendly code blocks that snap together allow even beginners to quickly create working apps. Readers will also learn about young inventors already using their own apps to make a difference in their communities, such as the girls from Moldova whose app helps alert residents when local we

本書特色： (1) 準確呈現基礎學習架構，並在新課綱架構下保留重點概念。 (2) 內文穿插【觀念小試】，即時測驗物理核心觀念。 (3) 範例提供經典試題的【解題影片】，掃描 QR code 即可立即觀看。 (4) 小節末提供【補充練習】，演練解題方式。 (5) 獨家日本大學入學考試入題，增進多元試題練習。 (6) 含大量素養試題，選題符合大考命題趨勢。 (7) 每章末皆有新式素養混合題型，符合大考命題標準

本書特色： (1) 準確呈現基礎學習架構，並在新課綱架構下保留重點概念。 (2) 內文穿插【觀念小試】，即時測驗物理核心觀念。 (3) 範例提供經典試題的【解題影片】，掃描 QR code 即可立即觀看。 (4) 小節末提供【補充練習】，演練解題方式。 (5) 獨家日本大學入學考試入題，增進多元試題練習。 (6) 含大量素養試題，選題符合大考命題趨勢。 (7) 每章末皆有新式素養混合題型，符合大考命題標準。

本書以零基礎讀者為對象，用範例引導讀者學習，深入淺出地介紹了Python的相關知識和實戰技能。本書從Python基礎入手，介紹了Python的開發環境、各種數據類型的操作方法、流程控制、函數等Python內核技術，以及使用Python處理文件、處理錯誤與異常等各種應用，最後列舉了Python在重要領域的項目實戰，內容系統且深入。本書提供與內容同步的教學錄像。此外，本書還贈送大量相關學習資料，以便讀者擴展學習。本書適合任何想學習Python的讀者，無論讀者是否從事計算機相關行業、是否接觸過Python，均可通過本書快速掌握Python的開發方法和技巧。

本書專門針對Python新手量身定做，涵蓋Python 3實際開發中經常用到的重要知識點，內容主要包括Python語言的類型和對象、運算符和表達式、編程結構和控制流、函數、序列、多線程編程、正則表達式、面向對象編程、文件和目錄操作、網絡編程和郵件收發、數據庫編程、Django框架和項目範例。在介紹知識點的過程中，實現了理論和實踐相結合。書中還安排了不少實踐示例，以幫助讀者鞏固所學、學以致用。本書內容豐富、結構合理、思路清晰、語言簡練流暢、示例翔實。本書主要面向Python初學者，適合作為高等院校Python程序設計課程的教材，還可作為Python Web應用開發人員的參考資料。

本書是一本Python基礎性教材，從彰顯Python兩大特點出發，以讓學習Python的讀者打下一個概念清晰、技術紮實的基礎為目的而作。全書，共分為6章。第1章Python初識。第2章Python命令式編程。第3章Python函數式編程。第4章Python容器。第5章Python面向對象編程。第6章第三方Python 庫。本書彰顯程序設計語言自身特色，概念表述精准清晰、例題經典、習題豐富，並以二維碼鏈接形式提供了有關知識擴展，為學習者創造良好的學習環境，適合大學有關專業的程序設計教學，也可供有關技術人員和專業培訓使用。

本書全面介紹了使用Python進行數據分析所必需的各項知識。全書共分為14章，包括瞭解數據分析、搭建Python數據分析環境、Pandas統計分析、Matplotlib可視化數據分析圖表、Seaborn可視化數據分析圖表、第三方可視化數據分析圖表Pyecharts、圖解數組計算模塊NumPy、數據統計分析案例、機器學習庫Scikit-Learn、註冊用戶分析(MySQL版)、電商銷售數據分析與預測、二手房房價分析與預測，以及客戶價值分析。該書所有示例、案例和實戰項目都提供源碼，另外該書的服務網站提供了模塊庫、案例庫、題庫、素材庫、答疑服務，力求為讀者打造一本“基礎入門+應用開發+項目實戰”一體化的Python數據分析圖書。本書適合作為數據分析人員的學習參考用書，也可作為想拓展數據分析技能的普通職場人員和Python開發人員學習參考用書。

Learn to draw all kinds of cute cats doing all sorts of silly things through 75 step-by-step tutorials. In this mini edition of Kawaii Kitties, popular Instagram artist Bichi Mao (@bichi.mao) perfectly captures cats' different attitudes, while playing, sleeping, eating, stretching, exploring, being loving, wearing cute costumes, and much more! Along with the tutorials, Bichi Mao shares: An introduction to the kawaii art aesthetic Suggestions for drawing tools Tips and tricks for drawing and coloring your cats A facial expression directory Coloring pages swarming with kitties for you to decorate So, get ready to purrfect your drawing skills, as well as be inspired to create your own kitty characters or illustrate the daily activities of your favorite pet. Learn how to draw even more cute things with these other fun books in the Kawaii Doodle series: Kawaii Doodle Class, Kawaii Doodle Cuties, Mini Kawaii Doodle Class, Mini Kawaii Doodle Cuties, and Kawaii Doodle World.

本書主要介紹Python編程語言的基礎知識和使用Python進行數據爬蟲、數據分析與數據可視化的方法，主要內容包括Python安裝與IDE選擇；Python基礎知識；Python運算符與流程控制；函數；面向對象基礎；模塊；網絡數據爬取；數據分析基礎；數據可視化。 本書涵蓋了Python編程語言的主要應用場景，注重理論知識的學習和實際應用的充分結合。本書提供的PPT、教學視頻均為專業公司製作，內容精美，應用價值較高。章節後提供的綜合案例和習題可供讀者綜合複習每章的知識點。 本書可作為高等學校計算機及相關專業Python編程基礎、Python編程與科學計算等課程的教材，也可供想學習Python基礎知識和使用Python做應用開發的讀者做參考使用。

本書是一部系統論述 Python 編程語言和實際應用技術的圖書， 全書共分為 13 章： 第 1章～第 9 章講解 Python 基本語法； 第 9 章～第 13 章講解 Python 實際應用的技術。 主要內容包括： 編寫第一 Python 程序； Pyhon 基本語法； Python 數據類型； 函數； 面向對象； 日期和時間； 異常處理； 訪問文件與目錄； 圖形界面編程； 網絡編程； 多線程； MySQL 數據庫編程和訪問 Excel 文件。本書適合作為Python課程教材，也可供相關人員自學參考。

本書系統介紹了Python語言的語法基礎知識，包括Python基本數據類型、程序控制結構、組合數據類型、函數與模塊、類和對象、文件，以及Python常用標準庫；並圍繞Python網絡爬蟲、Python數據分析、Python票據識別的具體實例，詳細介紹了Python第三方庫的相關應用，闡述其應用程序的開發方法和過程，實現知識到能力的進階。本書第1～9章為Python學習的基礎內容部分，夯實基礎，萬丈高樓方能有望。第10～12章為Python學習的應用和提高部分，遴選有趣且實用的案例，通過翔實的講解和豐富的代碼案例帶領讀者充分領略Python的強大之處。

★快速入門Python程式設計，概念清楚講解，範例具實用性及趣味性。閱讀本書後，可具備完整的Python程式設計概念和能力，並能夠自己撰寫程式。 ★以範例實作學習Python，超過200個以上入門小範例、APCS檢定題目、電腦軟體設計丙級檢定題目、技藝競賽題目。 本書特色: 1、以高中職程度設計的Python入門學習教材。 2、快速入門、有趣且實用的範例，快樂學習，提高學生學習動機。 3、範例融入APCS、電腦軟體設計丙級檢定及技藝競賽題目。 4、使用ChatGPT獲取Python解答和建議。

目前，高校內適用於校內所有專業的計算機文化基礎課程正在向Python方面轉變，Python在不同專業的需求正在擴大，本書由淺入深，在內容介紹上儘量簡單化、圖片話，將內容提高部分放在提高篇，實現內容的分層展示。本書適用於高校計算機及相關專業以及非計算機專業的入門教材，所帶有的數據分析及設計實例也適用於立志於Python語言學習的技術人群。本書主要針對Python語言的基本語法、語法進階及數據分析，力求將學習Python語言需要的知識降為最低，適用於高校內大多數計算機專業的Python教學，每一章節及重要知識點都有對應的二維碼，掃描之後會出現對應知識點的文字、視頻或練習等。

●Python 詳細語法教學 ●17 個 Python 常用函式庫 ●50 個 Python 必學與生活應用範例 ●30 個 Python 影音處理範例 ●16 個 Python 網頁爬蟲範例 ●15 個 Python 網頁應用範例 ●串接 Gmail、Google 試算表、EXCEL ●串接 ChatGPT、Dialoglow、Firbase 資料庫 Python 是目前世界上最流行的程式語言之一，也是相當容易入門且功能強大的程式語言。它除了可以透過簡單邏輯進行程式設計，更具備有高效能的資料結構處理能力。Python 簡單易懂的程式語法，結合由 C 語言建構的特性，使得 Python 能跨平台開發，也幾乎能在所有作業系統中運作。 如果是 Python 初學者，可以從本書的第一章開始，循序漸進的認識語法結構、變數、邏輯、迴圈和各個型別的規範，並學會近二十個常用的標準函式庫。如果已經是 Python 的開發者，更可以直接從後半部的範例開始閱讀，透過各式範例的練習，熟悉各種 Python 的實際應用。 本書包含了 100 個以上的範例，內容涵蓋基礎應用、數學應用、生活應用、影音處理應用、網路爬蟲與網路服務應用，不僅適合自我學習，更能徹底發揮 Python 的優勢，替生活中創造更多的便利與想像。

本書按照Python程序語言特點、算法思維和實踐應用邏輯，由淺入深，從零起點到基礎、到精進提升，再到實踐應用，以漸進式方式分成4篇10章。第1篇為Python基礎入門，包括Python概述、Python基礎語法、基本程序結構、Python常用數據結構、自定義函數與模塊；第2篇為Python算法基礎，包括Python常用算法；第3篇為數據結構的Python實現，包括數據結構；第4篇為Python應用開發模塊，包括Python數據處理與分析、人工智能應用實踐、Python應用開發。 每一章都配有講解視頻、典型例題、練習題和上機實踐任務，並附贈示例程序、習題源代碼和教學課件等電子資源。 本書既可以作為教育技術學、教育學(教育技術)、計算機(師範)相關專業及選修Python程序設計課程學生的教材，也可以作為中小學信息技術教師、青少年編程教育工作者、社會人士的自學書籍等。本書封面貼有清華大學出版社防偽標簽，無標簽者不得銷售。

本書通過全彩圖解+視頻講解的形式，介紹了Python編程入門及應用的相關知識，主要內容包括：Python編程環境安裝與運行、Python中的數字運算、Python中的數據類型、輸入輸出與文件操作、條件與循環語句、函數與庫、Python的OS、Python的命名空間與生命週期，以及Python五子棋項目實例、Python實現簡易計算器、Python嵌入式實例―機器視覺等綜合案例的開發。本書內容循序漸進，講解通俗易懂，書中重難點章節配套視頻講解，掃碼即可隨時觀看，同時提供源程序，方便學習實踐。本書適合Python初學者、熱愛編程的青少年朋友自學使用，也適合中小學信息技術課堂或相關培訓機構用作教材。