Python Data Science Handbook

This is the era of Big Data and computational social science. It is an era that requires tools which can do more than visualise data but also model the complex relation between data and huma

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 Handbook of Psychophysiology has been the authoritative resource for more than a quarter of a century. Since the third edition was published a decade ago, the field of psychophysiological science has seen significant advances, both in traditional measures such as electroencephalography, event-related brain potentials, and cardiovascular assessments, and in novel approaches and methods in behavioural epigenetics, neuroimaging, psychoneuroimmunology, psychoneuroendocrinology, neuropsychology, behavioural genetics, connectivity analyses, and non-contact sensors. At the same time, a thoroughgoing interdisciplinary focus has emerged as essential to scientific progress. Emphasizing the need for multiple measures, careful experimental design, and logical inference, the fourth edition of the Handbook provides updated and expanded coverage of approaches, methods, and analyses in the field. With state-of-the-art reviews of research in topical areas such as stress, emotion, development, langu

Haunted Data explores the concepts that are at work in our complex relationships with data. Our engagement with data – big or small – is never as simplistic or straightforward as might first appear. I

本書以WIN10 和Python3.6.5 搭建Python開發基礎平臺為起點，重點闡述Python語言的基礎知識和3個典型的項目實戰案例。全書以理論引導、案例驅動、上機實戰為理念打造Python語言學習的新模式。具體內容分為兩大部分：第一部分以Python編程語言基礎知識普及為主，分別介紹了Python3概述、基本語法、流程控制、組合數據類型、字符串與正則式、函數、模塊、類和對象、異常、文件操作

本書是寫給孩子看的Python編程書，本書共包括54個章節，分為三個部分。基礎篇包含了Python編程環境的搭建、第一個Python程序的展示、程序的調試方法、異常的處理、Python的基本數據類型和運算符，還包括了基本程序控制結構、類的使用以及常見模塊的使用。實戰篇包含了Python循環的應用、冒泡排序和選擇排序等基礎算法、文件操作、系統信息獲取，還包括了圖形用戶界面編程、正則表達式、多線程程序

朱順泉編著的《投資學及其Python應用(高等院校財政金融專業應用型教材)》內容包括：金融市場環境；資產的時間價值及其Python應用；投資收益與風險及其Python應用；資產組合均值方差模型及其Python應用；存在無風險資產的均值方差模型及其Python應用；資本資產定價模型及其Python應用；指數模型及其Python應用：套利定價理論及其應用；有效市場假說；證券收益的實證依據；固定收益證券

本書是一本Python基礎教材。全書以Python 3.0為藍本，分6章介紹。第1章從模仿計算器進行簡單的計算入手，帶領讀者邁進Python門檻；順勢引導讀者掌握Python模塊的用法、變量的用法；再進一步引入選擇結構和重複結構，使讀者有了程序和算法的基本概念，進入程序設計的殿堂。第2章首先介紹Python特有的數據對象與變量之間的關係，然後較詳細地介紹了Python各種內置的數據類型。第3章從正

《金融工程及其Python應用》的主要內容包括：金融工程導論；金融工程定價方法及其Python應用；遠期合約及其Python應用；期貨合約及其Python應用；期貨套期保值及其Python應用；互換合約及其Python應用；期權合約及其策略；Black-Scholes期權定價模型及其Python應用；期權定價的蒙特卡羅模擬法及其Python應用；二叉樹法期權定價及其Python應用；期權定價的有限

This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers and professionals. With a wealth of illustrations and examples to explain the key features of the theory and to connect with real-world applications, additional material to explore more advanced concepts, and numerous end-of-chapter problems to test the reader's knowledge, this textbook is the 'go-to' guide for learning about the core principles of statistical inference and its application in engineering and data science. The password-protected solutions manual and the image gallery from the book are available online.

New online resources are opening doors for education and outreach in the Earth sciences. One of the most innovative online earth science portals is Macrostrat and its mobile client Rockd - an interface that combines geolocated geological maps with stratigraphic information, lithological data, and crowd-sourced images and descriptions of outcrops. These tools provide a unique educational opportunity for students to interact with primary geological data, create connections between local outcrops and global patterns, and make new field observations. Rockd incorporates an aspect of social media to its platform, which creates a sense of community for users. This Element outlines these resources, gives instructions on how to use them, and provides examples of how to integrate these resources into a variety of paleontology and earth science courses.

隨著Python應用領域的拓展，越來越多的人將Python用於處理大型數值資料集，使用標準格式來進行資料的存儲和通信也顯得越來越重要，而HDF5也正迅速成為人們存儲科學資料的選擇。本書向任何有Python資料分析基本背景的人介紹如何在Python下使用HDF5。 本書將著重於HDF5的本地功能集，而不是Python的高層抽象。熟悉Python和NumPy的讀者，更容易閱讀和掌握本書的內容。本書適合

Handbook on the Physics and Chemistry of Rare Earths: Including Actinides, Volume 54, is a continuous series of books covering all aspects of rare earth science, including chemistry, life sciences, ma

The non-technical handbook for cyber security in the insurance industrySolving Cyber Risk distills a decade of research into a practical framework for cyber security. Blending statistical data and cos

這本書是一本詳盡的 Python 入門著作，初學者能夠從中獲得有關於 Python 程式設計的完整知識。已經對 Python 有所認識的人士，則能夠從中汲取不一定為人熟知的 Python 特性。本書教程整合了 Python 2.x 及 3.x 的所有知識，適用於所有 Python 的主流支援版本，讀者可以根據需要選擇任一版本進行實作。 本書的程式碼可至下列網址下載： https://github.

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

本書是一部系統論述 Python編程語言、 OOP編程思想以及函數式編程思想的立體化教程（含圖書、答疑服務、教學課件、源代碼及視頻教程）。全書共分為四篇：第一篇 Python基礎（第 1章 ～第 8章），第二篇 Python進階（第 9章 ～第 15章），第三篇 Python高級實用庫與框架（第 16章 ～第 20章），第四篇項目實戰（第 21章 ～第 24章）。主要內容包括開篇綜述、搭建開發環境

Did you know that the value of data usage has increased job opportunities, but that there are few specialists?These days, everyone is aware of the role that data can play, whether it is an election, b

This guide offers a rapid introduction to Python programming to anyone with no experience in programming, taking a careful and methodical approach to presenting the features available and their use fo

This guide offers a rapid introduction to Python programming to anyone with no experience in programming, taking a careful and methodical approach to presenting the features available and their use fo

《Python程序設計》從程序設計基本概念出發，由淺入深、循序漸進地講述Python程序設計的基本概念和基本方法。本書內容包括Python編程基礎、流程控制結構、字符串與正則表達式、典型數據結構、函數與模塊、面向對象編程、文件操作、圖形用戶界面設計、圖形繪製以及數據庫操作。《Python程序設計》堅持以就業為導向、以能力為本位的原則，突出實用性、適用性和先進性，結構合理、論述準確、內容翔實，注意知

This book presents lecture materials from the Third LOFAR Data School, transformed into a coherent and complete reference book describing the LOFAR design, along with descriptions of primary science c

We live in an information economy, a vast archive of data ever at our fingertips. In the pages of science fiction, powerful entities—governments and corporations—seek to use this archive to control so

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

這不是一本常規意義上Python的入門書。這本書中沒有Python關鍵字和for迴圈的使用，也沒有細緻入微的標準庫介紹，而是完全從實戰的角度出發，對構建一個完整的Python應用所需掌握的知識進行了系統而完整的介紹。更為難得的是，本書的作者是開源專案OpenStack的PTL（項目技術負責人）之一，因此本書結合了Python在OpenStack中的應用進行講解，非常具有實戰指導意義。 本書從如何開

《Python從入門到精通》從初學者角度出發，通過通俗易懂的語言、豐富多彩的實例，詳細介紹了使用Python進行程序開發應該掌握的各方面技術。全書共分22章，包括初識Python、Python語言基礎、運算符與表達式、流程控制語句、列表與元組、字典與集合、字符串、Python中使用正則表達式、函數、面向對象程序設計、模塊、異常處理及程序調試、文件及目錄操作、操作數據庫、GUI界面編程、Pygame

這是一本適合學習 Python 語言編程的入門教材。全書從程序設計語言基礎的算法與流程圖入門開始，接著介紹Python環境的安裝、基本語法，最後到主題實踐操作，學習者不用擔心沒有任何程序設計語言相關的背景知識。本書以Anaconda軟件包來設置和安裝Python環境，能夠快速完成Python及常用程序包的安裝。 本書強調學練相結合，豐富的範例程序講解結合上機實踐，教你領會Python語言結構化

本書從Python 3.6.4的安裝開始，詳細講解了Python從簡單程序延伸到Python網絡爬蟲的全過程。本書從實戰出發，根據不同的需求選取不同的爬蟲，有針對性地講解了幾種Python網絡爬蟲。 本書共10章，涵蓋的內容有Python3.6語言的基本語法、Python常用IDE的使用、Python第三方模塊的導入使用、Python爬蟲常用模塊、Scrapy爬蟲、Beautiful Soup爬蟲、Mechanize模擬瀏覽器和Selenium模擬瀏覽器、Pyspider爬蟲框架、爬蟲與反爬蟲。本書所有源代碼已上傳網盤供讀者下載。 本書內容豐富，實例典型，實用性強。適合Python網絡爬蟲初學者、Python數據分析與挖掘技術初學者，以及高等院校和培訓學校相關專業的師生閱讀。

本書專門針對Python新手量身編寫，涵蓋Python 3實際開發的重要知識點，內容包括：Python語言的類型和對象、操作符和表達式、編程結構和控制流、函數、序列、多線程、正則表達式、面向對象編程、文件操作、網絡編程、郵件收發、數據庫操作等，提供Python爬蟲、自然語言處理、區塊鏈項目範例，各章還安排了調試、問題解答、溫故知新、牛刀小試等內容，以幫助讀者學會處理程序異常、解答學習困惑、鞏固知識、學以致用。 本書還開發了配套小程序學習課件，課件中涵蓋視頻教學、代碼示例、資源包、擴展知識、習題、PPT、FAQ、作業8大主題，大幅擴展了本書知識體系，可幫助讀者輕鬆快速地掌握Python編程技能。 本書技術先進、示例豐富、代碼可讀性及可操作性強，非常適合Python初學者和轉型到Python開發的程序員使用，也可作為Python網課、培訓機構及大專院校的教學用書。

This Handbook provides a compendium of research methods that are essential for studying interaction and communication across the behavioral sciences. Focusing on coding of verbal and nonverbal behavior and interaction, the Handbook is organized into five parts. Part I provides an introduction and historic overview of the field. Part II presents areas in which interaction analysis is used, such as relationship research, group research, and nonverbal research. Part III focuses on development, validation, and concrete application of interaction coding schemes. Part IV presents relevant data analysis methods and statistics. Part V contains systematic descriptions of established and novel coding schemes, which allows quick comparison across instruments. Researchers can apply this methodology to their own interaction data and learn how to evaluate and select coding schemes and conduct interaction analysis. This is an essential reference for all who study communication in teams and groups.

This Handbook provides a compendium of research methods that are essential for studying interaction and communication across the behavioral sciences. Focusing on coding of verbal and nonverbal behavior and interaction, the Handbook is organized into five parts. Part I provides an introduction and historic overview of the field. Part II presents areas in which interaction analysis is used, such as relationship research, group research, and nonverbal research. Part III focuses on development, validation, and concrete application of interaction coding schemes. Part IV presents relevant data analysis methods and statistics. Part V contains systematic descriptions of established and novel coding schemes, which allows quick comparison across instruments. Researchers can apply this methodology to their own interaction data and learn how to evaluate and select coding schemes and conduct interaction analysis. This is an essential reference for all who study communication in teams and groups.

Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science.

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,

The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated f

This handbook brings together contributors from the United States, Australasia and Europe who use theoretical insights and empirical data to examine current practices as well as possible future direct

《Python程序設計基礎與應用》是一本系統介紹Python程序開發與應用的教程。本書共15章，主要包括Python編程基礎(1～11章)和Python開發應用(12～15章)兩部分內容，編程基礎部分通過眾多案例對Python程序設計的概念加以解釋，開發應用部分介紹了tkinter編程、網絡爬蟲、數據分析和數據可視化4個方面的Python核心應用。本書全部代碼適用於Python 3.5、Pytho

Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science.

本書是高等學校Python基礎課程的教材。全書由7個單元組成。第1單元介紹Python的基本知識，內容包括Python的特點、數據對象、變量、輸入輸出等，使讀者對Python有一個初步瞭解；第2單元為Python程序結構，內容包括選擇結構、循環結構、函數、模塊、異常處理等；第3單元為容器，內容包括序列容器、無序容器、迭代器、生成器與推導表達式；第4單元為面向類的程序設計，內容包括類與對象、類與對象

內 容 簡 介 本書從實戰角度系統講解了Python核心知識點以及Python在Web開發、數據分析、網絡爬蟲、桌面應用等領域的各種開發實踐。本書用超過5萬行的代碼及大量的實戰案例完美演繹了Python在各個領域的出色表現，每一個案例都有詳細的實現步驟，帶領讀者由淺入深系統掌握Python語言的核心及Python全棧開發技能。本書共分六篇，各篇內容如下： Python基礎知識篇（第1章～第10

本書從Python 3.6.4的安裝開始，詳細講解了Python從簡單程序延伸到Python網絡爬蟲的全過程。本書從實戰出發，根據不同的需求選取不同的爬蟲，有針對性地講解了幾種Python網絡爬蟲。 本書共10章，涵蓋的內容有Python3.6語言的基本語法、Python常用IDE的使用、Python第三方模塊的導入使用、Python爬蟲常用模塊、Scrapy爬蟲、Beautiful Soup爬蟲、Mechanize模擬瀏覽器和Selenium模擬瀏覽器、Pyspider爬蟲框架、爬蟲與反爬蟲。本書所有源代碼已上傳網盤供讀者下載。 本書內容豐富，實例典型，實用性強。適合Python網絡爬蟲初學者、Python數據分析與挖掘技術初學者，以及高等院校和培訓學校相關專業的師生閱讀。