Effective Python

本書以清楚、結構化的方式，引導初學者認識最核心的繁體中文基礎字，特別適合以英語為母語的學習者。內容精選最常使用的100個漢字，每字獨立成頁，搭配標準漢語拼音與簡明英文釋義，降低初學時的理解門檻。逐步筆順示範與方格書寫練習，幫助歐美學習者熟悉漢字的書寫邏輯與結構比例。書中並延伸相關詞語與片語，協助建立實用詞彙基礎，另附拼音、部首與英漢索引，便於查找與複習，是自學或課堂使用都相當合適的入門工具。為英語背景學習者量身設計每字一頁，清楚建立書寫與辨識基礎收錄500多個延伸詞語，強化實用性The major struggle facing all beginning Chinese language students is to learn to recognize, read and write hundreds of Chinese characters. This book adopt a structural approach that helps students overcome this initial difficulty and quickly master the basic Chinese characters fundamental to this language. Intended for beginning students, The First 100 Chinese Characters: Traditional Character Edition contains carefully selected and sequenced characters for rapid and effective learning. Each Chinese character is shown separately on a single page, along with its English definitions, hanyu pinyin romanization, alternate form, a stroke-order guide and ample writing space.Two indexes--alphabetical by the English meanings and by pinyin romanizationùare

本書以多巴哥島小鎮為舞台，描寫少年在日常與貧困中成長，外來家庭的出現帶來短暫的光亮，也掀開階級、金錢與責任的現實界線。Oonya Kempadoo以節制而詩性的文字，寫出欲望如何遮蔽差異，又如何讓不平等無所遁形。Cliff and Ossi have grown up in Plymouth on the island of Tobago, their lives turning on the axis of small-town life. One day they watch the arrival of a couple and their child at a luxurious house overlooking the ocean. The couple invites Cliff into their home and lives, and in that cool “flim-style” house, the harsh, brittle life of urban Plymouth is kept briefly at bay, desires obscuring differences in class and race. But then things begin to go wrong—money vanishes, the couple’s car disappears—and those differences are brought suddenly to light, raising unsettling questions about relationships, wealth, and responsibility.“Oonya Kempadoo’s Tide Running is effective, beautiful, and haunting . . . and pulses with a distinctive Caribbean rhythm.” —Glenville Lovell, Washington Post“With a finely tuned ear for the cadences of the Caribbean . . .. Kempadoo succeeds in turning an unset

Learn to use powerful Python libraries for effective data processing and analysisAbout This BookLearn the basic processing steps in data analysis and how to use Python in this area through supported p

Six favorites from Eric Carle are available in this Ready-to-Read boxed set!This convenient Ready-to-Read carry-along boxed set of six beloved Eric Carle classics includes paperback editions of Have Y

Fully-updated, second edition of this worldwide bestseller with over 100,000 copies sold. When it comes to creating powerful and effective hacking tools, Python is the language of choice for most secu

An effective guide to geographic information systems and remote sensing analysis using Python 3About This BookConstruct applications for GIS development by exploiting PythonThis focuses on built-in Py

Python is the high-level language of choice for hackers and software security analysts because it makes it easy to write powerful and effective security tools. A follow-up to the perennial best-seller

An effective guide to geographic information systems and remote sensing analysis using Python 3About This BookConstruct applications for GIS development by exploiting PythonThis focuses on built-in Py

Learn a simpler and more effective way to analyze data and predict outcomes with PythonMachine Learning in Python shows you how to successfully analyze data using only two core machine learning algori

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

Master the secret tools every Python programmer needs to knowProfessional Python goes beyond the basics to teach beginner- and intermediate-level Python programmers the little-known tools and construc

The complete beginner's guide to Python, for young people who want to start todayAdventures in Python is designed for 11-to 15-year olds who want to teach themselves Python programming, but don't know

Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author ofBeginning Python, this book is sharply focused on classical alg

Python Algorithms explains the Python approach to algorithm analysis and design. Written byMagnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical a

Beginning Python: Using Python 2.6 and Python 3.1 introduces this open source, portable, interpreted, object-oriented programming language that combines remarkable power with clear syntax. This book e

Mark Pilgrim's Dive Into Python 3 is a hands-on guide to Python 3 and its differences from Python 2. As in the original book,Dive Into Python, each chapter starts with a real, complete code sample, pr

Python Essential Reference is the definitive reference guide to the Python programming language — the one authoritative handbook that reliably untangles and explains both the core Python language and

Everything you need to know to get into Python coding, with 7 books in one Python 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

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.

Deploy Python creatively and effectively through this collection of short coding projects carefullly curated by best-selling author and Python expert Al Sweigart. This curated collection of simple Pyt

Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful programming language, Python. This book is designed for a first cour

An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.Natural Language Processing with Python and spaCy will show you how to crea

Specifically designed for linguists, this book provides an introduction to programming using Python for those with little to no experience of coding. Python is one of the most popular and widely-used programming languages as it's also available for free and runs on any operating system. All examples in the text involve language data and can be adapted or used directly for language research. The text focuses on key language-related issues: searching, text manipulation, text encoding and internet data, providing an excellent resource for language research. More experienced users of Python will also benefit from the advanced chapters on graphical user interfaces and functional programming.

Specifically designed for linguists, this book provides an introduction to programming using Python for those with little to no experience of coding. Python is one of the most popular and widely-used programming languages as it's also available for free and runs on any operating system. All examples in the text involve language data and can be adapted or used directly for language research. The text focuses on key language-related issues: searching, text manipulation, text encoding and internet data, providing an excellent resource for language research. More experienced users of Python will also benefit from the advanced chapters on graphical user interfaces and functional programming.

The second edition of this best-selling Python book (100,000+ copies sold in print alone) uses Python 3 to teach even the technically uninclined how to write programs that do in minutes what would tak

Explore and apply best practices for efficient application deployment. This book draws upon author Moshe Zadka's years of Dev Ops experience and focuses on the parts of Python, and the Python ecosyste

Second edition of the best selling Python book in the world. A fast-paced, no-nonsense guide to programming in Python. This book teaches beginners the basics of programming in Python with a focus on r

Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R.Data scien

If you’re ready to write better Python code and use more advanced features, Advanced Python Programming was written for you. Brian Overland distills advanced topics down to their essentials, ill

The fast and easy way to learn Python programming and statisticsPython is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of peop

?Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging

Python has become the language of choice for programmers in data science, game development, and numerous other areas. Learn the basics of Python programming in this step by step guide in a “teach your

Are you stuck in getting started with machine learning with python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning w

Written for developers with a background in any high-level language, Introduction to Python and Data Science for Programmers explores the Python language and Python APIs in depth, applying the Deitels

Move from zero knowledge of programming to comfortably writing small to medium-sized programs in Python. Fully updated for Python 3, with code and examples throughout, the book explains Python coding

Python in easy steps, 2nd edition instructs you how to program in the powerful Python language, giving complete examples that illustrate each aspect with colourized source code.Python in easy steps,

Impractical Python is a collection of fun and educational projects designed to entertain programmers while enhancing their Python skills. It picks up where the complete beginner books leave off, expan

Move data back and forth between database and application. The must-have knowledge in this book helps programmers learn how to use the official driver, MySQL Connector/Python, by which Python programs

Program a graphical adventure game in this hands-on, beginner-friendly introduction to coding in the Python language.Launch into coding with Mission: Python, a space-themed guide to building a complet