Python Data Science Handbook

This concise, clinically focused handbook offers a complete overview of tuberculosis and reviews the latest guidelines, treatment options, clinical trials and management of this disease. Handbook of T

Quickly learn how to automate unit testing of Python 3 code with Python 3 automation libraries, such as doctest, unittest, nose, nose2, and pytest.This book explores the important concepts in software

Learn the codes of shovelry while gaining fun gameplay knowledge in this helpful handbook!This colorful handbook introduces readers to Shovel Knight, a classic action-adventure game with awesome gamep

Outlining recent trends in cybernetics and systems science, contributors in computer science, information technology, and mathematics present expository articles that include a number of open prob

Learn software engineering and coding best practices to write Python code right and error free. In this book you’ll see how to properly debug, organize, test, and maintain your code, all of which lead

Learn the art of programming coding skills with power of python and practical tacticsWhat if there a practical guide to teach you the art of programming and coding skills? this book is powerful and ea

本書介紹了利用Python實現資料視覺化。並介紹了資料、資訊與知識之間的關係。書中涉及的視覺化過程應用了大量流行的Python庫，你會學到採用Numpy、Scipy、IPython、MatPotLib、Pandas、Patsy和Scikit-Learn等生成視覺化結果的不同方法。

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of inte

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools n

Python是一種被廣泛用於網站開發、資料處理和機器學習等領域的高級編程語言，同時也是一種學習門檻較低的高級編程語言。本書是Python語言的入門讀物，旨在引導初學者能夠在輕鬆的環境中，掌握Python的基礎知識，包括基本物件類型、函數、類、模組以及資料存儲方式。

The Canadian Writer's Handbook, Second Essentials Edition is a streamlined version of the successful Concise Canadian Writer's Handbook. The Essentials Edition uses the accessible, well-organized, and

This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will

This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, including the Poisson equation, the

This Nutshell guide provides a one-stop shop for Python programmers who need help remembering or deciphering the syntax of this open source language and its many powerful but scantily documented modul

Find errors and clean up data easily using SAS®! Thoroughly updated, Cody's Data Cleaning Techniques Using SAS, Third Edition, addresses tasks that nearly every data analyst needs to do - that is, mak

This volume introduces a series of different data-driven computational methods for analyzing group processes through didactic and tutorial-based examples. A number of data-driven methods adapted to gr

This is a book about the scientific process and how it is applied to data in ecology. We will learn how to plan for data collection, how to assemble data, how to analyse data and finally how to presen

This handbook provides an introduction to and reference information about the science behind the production and use of particulate fillers in polymer applications. Fillers play an important role and a

This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to presen

The Data Journalist: Getting the Story is the definitive introduction to using data and technology in reporting for both journalism students and working practitioners. The text covers both the basics

An introduction to coding for complete beginners, this friendly and accessible book will teach children the basics of Python (a widely used programming language), allowing them to get inside the code

Geocomputation has come of age. The whirlwind of change experienced in Geographical Information Science (GIS) - developments in IT, and new data gathering and earth observing technologies - has taken

Changing industry trends—cloud computing, mobile computing, big data, and the ascendency of virtualization—have made a staggering impact on data recovery requirements. This book arms readers with info

In this volume of The ANNALS the task of linking a broad supply of information—from administrative data, to social media, to census and surveys, to ethnographic data, to data from randomized con

This comprehensive handbook addresses the sophisticated forensic threats and challenges that have arisen in the modern digital age, and reviews the new computing solutions that have been proposed to t

本書提出了以理解和運用計算生態為目標的Python語言教學思想，不僅系統講解了Python語言語法，同時介紹了從資料理解到圖像處理的14個Python函數庫，向初學Python語言的讀者展示了全新的編程語言學習路徑。全書一共設計了25個非常具有現代感的實例，從繪製蟒蛇、理解天天向上的力量到機器學習、網路爬蟲，從文本進度條、統計名著人物重要性到圖像手繪效果、雷達圖繪製，絕大多數實例為作者原創，將隨著

本書是國內較早關於Python大資料與量化交易的原創書籍，配合zwPython、zwQuant開源量化軟體學習，已經是一套完整的大資料分析、量化交易學習教材，可直接用於實盤交易。本書特色：第一，以實盤個案分析為主，全程配有Python代碼；第二，包含大量的圖文案例和Python源碼，無須專業編程基礎，懂Excel即可開始學習；第三，配有專業的zwPython、zwQuant量化軟體和zwDat資料

Social science researchers have become increasing attentive to the role of numbers in contemporary life. Issues around big data, national test results, and output and performance statistics are now ro

Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About This Book * This unique guide teaches you how to visualize your

The Routledge Handbook of Interpreting provides a comprehensive survey of the field of interpreting for a global readership. The handbook includes an introduction and four sections with thirty one cha

Learn the basics of ethical hacking and gain insights into the logic, algorithms, and syntax of Python. This book will set you up with a foundation that will help you understand the advanced concepts

The SAGE Handbook of Coaching presents a comprehensive, global view of the discipline, identifying the current issues and practices, as well as mapping out where the discipline is going. The Handbook

Python 語言是目前市面上最受歡迎的程式設計語言之一，除了功能強大之外，還有快速上手、隨時可擴充、社群支援等特性。本書以16章的篇幅快速介紹Python 語言的精要，包括程式設計的重要性以及由來、Python語言的基礎知識、程式設計環境的安裝與設置、套裝軟體管理與線上資源、jupyter的使用 、資料類型、運算式、函數、程式控制流程、與資料庫的操作、提取網頁數據、Firebase資料庫、Fac

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。

本書是“上海市高等學校電腦等級考試（二級）”Python程式設計考試科目的推薦教材，以程式設計初學者為教學物件，從程式設計基本概念出發，由淺入深、循序漸進地講述Python程式設計的基本概念和基本方法。本書內容包括Python語言及其編程環境概述、基本語法、基本流程控制、元組列表字典等特徵資料類型及操作、檔、函數、面向物件的程式設計、tkinter圖形化介面設計、圖形繪製、正則運算式的應用、資料庫

Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics.

Change is an inherent feature of all aspects of language, and syntax is no exception. While the synchronic study of syntax allows us to make discoveries about the nature of syntactic structure, the study of historical syntax offers even greater possibilities. Over recent decades, the study of historical syntax has proven to be a powerful scientific tool of enquiry with which to challenge and reassess hypotheses and ideas about the nature of syntactic structure which go beyond the observed limits of the study of the synchronic syntax of individual languages or language families. In this timely Handbook, the editors bring together the best of recent international scholarship on historical syntax. Each chapter is focused on a theme rather than an individual language, allowing readers to discover how systematic descriptions of historical data can profitably inform and challenge highly diverse sets of theoretical assumptions.

Presents standard numerical approaches for solving common mathematical problems in engineering using Python. Covers the most common numerical calculations used by engineering students Covers Numerica

Panel data is a data type increasingly used in research in economics, social sciences, and medicine. Its primary characteristic is that the data variation goes jointly over space (across individuals,

In Practical Machine Learning with H2O.ai, author Darren Cook introduces readers to H2O, an open-source machine learning package that is gaining popularity in the data science community. This concise