Python Data Science Handbook

A practical guide for today’s chief data officers to define and manage data governance programsThe relatively new role of chief data officer (CDO) has been created to address the issue of managing a c

With over sixty-five hands-on art, science, and outside play activity ideas for creating engaging environments both at home and in early childhood and school-age care programs,The Ooey GooeyR Handbook

In Doing Math with Python you'll learn to how to use the Python programming language as a tool to delve into math concepts. Python is easy to learn, and it's perfect for exploring topics like statisti

The New Industry Standard in Business Valuation Reference Materials2015 Valuation Handbook ? Guide to Cost of Capital provides the key annual valuation data previously published in (i) the now discont

Python是目前最流行的動態指令碼語言之一。本書由淺入深，全面、系統地介紹了使用Python進行開發的各種知識和技巧。本書內容包括Python環境的安裝和配置、Python的基本語法、模組和函數、內置資料結構、字串和檔的處理、規則運算式的使用、異常的捕獲和處理、物件導向的語言特性和設計、Python的資料庫程式設計、TkinterGUI庫的使用、HTML應用、XML應用、Django網頁開發框架

It's easy to start writing code with Python: that's why the language is so immensely popular. However, Python has unique strengths, charms, and expressivity that can be hard to grasp at first -- as we

The Handbook of Photonics third volume addresses photonics technology and application. It discusses communication networks, data buffers, defense and security applications, detectors, fiber optics and

Python is a powerful programming language that's fun to play around with. Getting to know Python isn't just about hammering syntax into your brain—it's about discovering new tools to explore whatever

本書主要針對電腦基礎比較薄弱的Python語言初學者，力圖使用通俗易懂和深入淺出的語言風格闡述Python的基本概念。在對Python建立基本概念的前提下，循序漸進地引導讀者學習Python版本的選擇、不同平臺下Python開發環境的搭建、Python基本的語法，並最終使讀者可以利用Python實現一些簡單的應用開發。本書主要適用於沒有Python基礎的初學者，包括但不限於具有硬體背景的工程師、非

If you are a Python programmer or a security researcher who has basic knowledge of Python programming and want to learn about penetration testing with the help of Python, this book is ideal for you. E

This book is for Python programmers with an intermediate background and an interest in design patterns implemented in idiomatic Python. Programmers of other languages who are interested in Python can

This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of im

A Python Primer for ArcGIS® Workbook I (1 of 3) The automation of geoprocessing tasks is a common practice among GIS professionals. Python is the standard programming language for ArcGIS and other fie

The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data

If you are a data analyst who has a firm grip on some advanced data analysis techniques and wants to learn how to leverage the features of R, this is the book for you. You should have some basic knowl

This comprehensive volume presents data describing the role of oxidative stress in anterior eye disease. The content is divided into three logical parts: basic science of the cornea, basic science of

A guide to completing Python projects for those ready to take their skills to the next levelPython Projects is the ultimate resource for the Python programmer with basic skills who is ready to move be

Pro Python System Administration, Second Edition explains and shows how to apply Python scripting in practice. It will show you how to approach and resolve real-world issues that most system administr

In two parts, the book focusses on materials science developments in the area of1) Materials Data and Informatics: - Materials data quality and infrastructure - Materials databases - Materials data

Written by one of the foremost experts on climate change and energy education, Mark McCaffrey, this book serves as a primer and handbook for science teachers and teacher leaders on climate and energy

"Carefully distinguishing between big data and open data, and exploring various data infrastructures, Kitchin vividly illustrates how the data landscape is rapidly changing and calls for a revolution

"Carefully distinguishing between big data and open data, and exploring various data infrastructures, Kitchin vividly illustrates how the data landscape is rapidly changing and calls for a revolution

Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsis

An irreverent, provocative, and visually fascinating look at what our online lives reveal about who we really are – and how this deluge of data will transform the science of human behaviour. Big Data

Learn Python—the fun and easy way—and get in the programming game today!Python is one of the fastest growing programming languages, and no wonder. It requires three to five times less time than develo

Beginner coders often gravitate to the easy-to-use Python language for its versatility and usability. Games, robots, and Web sites—including those of Google and YouTube—and much more run on Python, an

The essential climate-debate handbook—everything you need to know about climate science to change mindsHave you ever heard someone say that climate change is simply the result of natural cycles? Or th

This text helps beginners develop their own Python programs. Experiments with fully completed programs are provided at the beginning of each chapter, allowing instructors to use the text in CS0 course

"This book introduces the use of statistics to solve a variety of problems in exercise science and health and provides readers with a solid foundation for future research and data analysis.Statistics

《Python開發實戰》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。 作者從Python的環境搭建講起，介紹了Web應用開發方法、任務管理，以及評審、測試及高效部署、伺服器調試等內容，盡可能網羅了Python開發流程中所涉及的方方面面。在這裡，Python僅僅是一個載體，很多知識點在非Python下也適用，這也是本書最大的特色所在。 《Python開發實戰》適合

《Python基礎教程(第2版·修訂版)》包括Python程式設計的方方面面，首先從Python的安裝開始，隨後介紹了Python的基礎知識和基本概念，包括清單、元組、字串、字典以及各種語句。然後循序漸進地介紹了一些相對高級的主題，包括抽象、異常、魔法方法、屬性、反覆運算器。此後探討了如何將Python與資料庫、網路、C語言等工具結合使用，從而發揮出Python的強大功能，同時介紹了Python程

The cognitive science of religion is an inherently heterogeneous subject, incorporating theory and data from anthropology, psychology, sociology, evolutionary biology, and philosophy of mind amongst o

The Genealogical Science analyzes the scientific work and social implications of the flourishing field of genetic history. A biological discipline that relies on genetic data in order to reconstruct t

A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate

精通 Python 3 的訣竅祕技 如果你撰寫 Python 3 程式時需要協助，或是想要更新舊的 Python 2 程式碼，這本書都能派上用場。滿載以 Python 3.3 所撰寫並經過測試的實用訣竅，這本獨特的錦囊妙計適合想要聚焦於現代工具與慣用手法的資深 Python 程式設計師。 在書中你會找到關於十幾個不同主題的完整訣竅，涵蓋 Python 程式語言以及各種應用領域共通的任務。每個訣竅

《易學Python》採用簡潔、有趣、易學的方式對Python程式設計語言進行了講解，其風格與通篇介紹程式設計特性、羅列語言功能的大多數程式設計圖書不同，而是引導讀者帶著好奇，帶著問題去學習、掌握Python程式設計語言，繼而編寫真實而有用的程式。 《易學Python》總共分為3部分，共12章，第1部分介紹了為何使用Python來程式設計。從第2部分起，通過編寫Hunt the Wumpus遊

Staddon analyzes science, policy, history, and current discourse around tobacco smoking, arguing that current social treatment of the issue does not line up with what the hard available data shows. He

Risk has always been central to finance, and managing risk depends critically on information. As evidenced by recent events, the need has never been greater for skills, systems and methodologies to manage risk information in financial markets. Authored by leading figures in risk management and analysis, this handbook serves as a unique and comprehensive reference for the technical, operational, regulatory and political issues in collecting, measuring and managing financial data. It will appeal to a wide range of audiences, from financial industry practitioners and regulators responsible for implementing risk management systems, to system integrators and software firms helping to improve such systems. Volume I examines the business and regulatory context that makes risk information so important. A vast set of techniques and processes have grown up over time, and without an understanding of the broader forces at work, it is all too easy to get lost in the details.

Updated for both Python 3.4 and 2.7, this guide provides concise information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library mod

From one of the world’s leading data scientists, a landmark tour ofthe new science of idea flow, offering revolutionary insights into the mysteries of collective intelligence and social influence