Python

本書以生動詼諧的語言，圖文並茂地講解了Python的核心入門知識，從Python軟件如何安裝、配置開始，再到測試第一個簡單的程序“Hello World”，然後進階到遊戲設計環節，最終實現幾個高難度的完整項目的製作。初學者一步一步跟著學，就可以通過實踐掌握Python的應用技術。本書適合對編程感興趣的青少年和大眾初學者閱讀。

An indispensable collection of practical tips and real-world advice for tackling common Python problems and taking your code to the next level. Features interviews with high-profile Python developers

本書共9章, 先從基本的數據結構概念開始介紹, 再以Python語言來實現數組、堆棧、鏈表、隊列、樹、圖、排列、查找等重要的數據結構。

A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that is rapidly gaining popularity throughout the sciences. This

A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that is rapidly gaining popularity throughout the sciences. This

本書以零基礎講解為宗旨，用實例引導讀者深入學習，採取“基礎知識→核心技術→高級應用→項目開發實戰”的講解模式，深入淺出地講解Python的各項技術及實戰技能。 本書第1篇基礎知識主要講解揭開Python 神秘面紗、基礎語法、列表、元組、字典、字符串操作、流程控制和函數等；第2篇核心技術主要講解對象與類、程序調試和異常處理、模塊與類庫、迭代器、操作文件的方法、圖形用戶界面和流行的Python開發工具

Discover the Django web application framework and get started building Python-based web applications. This book takes you from the basics of Django all the way through to cutting-edge topics such as c

Learning Python Doesn’t Have to Be Difficult! Have you ever wanted to learn programming? Have you ever wanted to learn the flexible, easy Python language behind many of today’s bes

Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science, social science, and engineering that wish to learn the principles of computer mode

全書共13章，面向Python 3.5.x、Python 3.6.x和Python 3.7.x，重點關注Python內置物件和標準庫物件的高級應用以及比較前沿的一些新技術，偶爾涉及一點擴展庫用法。第1章介紹Python語言編程規範與代碼優化建議、開發環境配置、程式偽編譯與打包。第2章詳解運算符與內置函數的用法。第3章詳解各種序列物件、推導式、切片和序列解包。第4章詳解選擇結構和迴圈結構，關鍵字el

Can You Train a Dog to Sit? If so, You Can Master Reinforcement Learning in No time!Welcome to the world of reinforced learning. This is a world where self-driving cars can be seen on real roads, wher

本書分為三大部分，其中第1~4章是Python基礎，這個部分會介紹閱讀本書所必須掌握的Python知識。第5~7章是講解Python直接提供的資料處理工具，這些工具包括一些易用的資料結構、標準庫和第三方工具。第8~12章是一些實際的案例，將會涉及Python主要擅長的幾個領域。後的三個附錄分別介紹了關於Python的一些擴展知識。

本書來自真正的開發現場，是BePROUD公司眾多極客在真實項目中的經驗總結和智慧結晶。作者從Python的環境搭建開始講起，介紹了Web應用的開發方法、專案管理及審查、測試與高效部署、伺服器調試等內容，盡可能網羅了Python專案開發流程中的方方面面，有助於開發者建立有序生產環境，提高開發效率，讓編程事半功倍。此外，在本書中Python僅僅是一個載體，很多知識點在非Python下也適用。

內容簡介:從門外漢晉身高手 “這本書對想運用Python進行資料分析的新手而言，是很實用的學習資源。這本書的教學風格與練習，可協助初學者體驗Python語言、程式寫作環境，以及一些在這個環境中最重要的套件。” -Wes McKinney, pandas程式庫的創造者 如果你是7.5億Excel使用者其中之一，但想要更進一步運用資料，例如對上百個檔案重複執行類似的分析，或一次結合許多檔案的資料進行分

Python Data Science Handbook provides a reference to the solutions of commonly seen computational problems for both traditional and data scientists who use Python to enable their research. These scie

Leverage Python for expert-level volatility and variance derivative tradingListed Volatility and Variance Derivatives is a comprehensive treatment of all aspects of these increasingly popular derivati

本書層次鮮明、結構嚴謹、內容翔實, 由淺入深介紹Python程序設計的方方面面。最後幾章將前面講述的內容應用到項目中, 並以模板的形式介紹項目的開發過程。

Python Machine Learning「機器學習」（machine learning）已是一門改變資料分析方式的重要學科，而本書將引領你進入預測性分析的世界，透過在科學領域已應用得相當廣泛的 Python 程式語言進行實作。藉 由本書，可以幫助你對資料分析的方式做出最佳決策，或是用於提昇機器學習系統的效能。內容包含 scikit-learn、Theano 及 Keras 等一系列強大的 P

This is the Python version of our book. See the website for links to the C++ and Java version.Have you ever... Wanted to work at an exciting futuristic company? Struggled with an interview problem tha

Over 140 practical recipes to help you make sense of your data with ease and build production-ready data apps About This Book * Analyze Big Data sets, create attractive visualizations, and manipulate

本書分三部分、共16章介紹一些常用的設計模式。第一部分介紹處理物件創建的設計模式，包括工廠模式、建造者模式、原型模式；第二部分介紹處理一個系統中不同實體（類、物件等）之間關係的設計模式，包括面板模式、享元模式等；第三部分介紹處理系統實體之間通信的設計模式，包括責任鏈模式、觀察者模式等。本書的讀者物件為有一定基礎的Python程式師。

全書共19章，主要內容如下：第1章介紹Python基礎知識與概念；第2章講解清單、元組、字典、集合等常用序列結構；第3章講解Python選擇結構與迴圈結構；第4章講解字串基本操作方法與規則運算式模組re的用法；第5章講解函式定義與使用；第6章講解物件導向程式設計有關的知識；第7章講解文字檔與二進位檔案的讀寫，以及檔與目錄操作；第8章講解異常處理結構以及Python程式的調試與測試方法；第9章講解標

"Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with PythonAbout This BookA step-by-step guide to predictive modeling including lot

In just 24 sessions of one hour or less, Sams Teach Yourself Python Programming for Raspberry Pi in 24 Hoursteaches you Python programming on Raspberry Pi, so you can start creating awesome projects f

Become more fluent in Python—learn strategies and techniques for smart and high-performance Python programmingAbout This BookWrite smarter, bug-free, high performance code with minimal effortUncover t

Learn to code like a professional with Python – an open source, versatile and powerful programming languageAbout This BookLearn the fundamentals of programming with Python – one of the best languages

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language one step at a time, beginning with basic programming concepts

樹莓派是一個只有信用卡大小的裸露電路板，它也是一個運行開源Linux作業系統的完全可程式設計的PC系統。樹莓派的官方程式設計語言是Python，本書就介紹了樹莓派的Python程式設計方法。 本書共分7個部分。前6個部分介紹了樹莓派程式設計環境、Python基礎知識、高級Python、圖形程式設計、業務程式設計和樹莓派Python項目；第7部分通過附錄介紹了如何將樹莓派作業系統載入到Raspbia

Many of Excel's 750 million users would like to do more with their data, such as repeating similar analyses over hundreds of files or combining the data in many files for analysis at one time. This pr

Programming ArcGIS with Python Cookbook, Second Edition, is written for GIS professionals who wish to revolutionize their ArcGIS workflow with Python. Whether you are new to ArcGIS or a seasoned profe

The Python Trail, Afuma portrays the kind of journey that many immigrants have made, but few have described.

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

Computing is revolutionizing the practice of biology. This book, which assumes no prior computing experience, provides students with the tools to write their own Python programs and to understand fundamental concepts in computational biology and bioinformatics. Each major part of the book begins with a compelling biological question, followed by the algorithmic ideas and programming tools necessary to explore it: the origins of pathogenicity are examined using gene finding, the evolutionary history of sex determination systems is studied using sequence alignment, and the origin of modern humans is addressed using phylogenetic methods. In addition to providing general programming skills, this book explores the design of efficient algorithms, simulation, NP-hardness, and the maximum likelihood method, among other key concepts and methods. Easy-to-read and designed to equip students with the skills to write programs for solving a range of biological problems, the book is accompanied by nu

Computing is revolutionizing the practice of biology. This book, which assumes no prior computing experience, provides students with the tools to write their own Python programs and to understand fundamental concepts in computational biology and bioinformatics. Each major part of the book begins with a compelling biological question, followed by the algorithmic ideas and programming tools necessary to explore it: the origins of pathogenicity are examined using gene finding, the evolutionary history of sex determination systems is studied using sequence alignment, and the origin of modern humans is addressed using phylogenetic methods. In addition to providing general programming skills, this book explores the design of efficient algorithms, simulation, NP-hardness, and the maximum likelihood method, among other key concepts and methods. Easy-to-read and designed to equip students with the skills to write programs for solving a range of biological problems, the book is accompanied by nu