Python Data Science Handbook

It is now clear that data based on the studies of fish eggs and larvae make a number of unique contributions to fishery science that are crucial for accurate assessment and management of fish populati

Named after the Monty Python comedy troupe, Python is an interpreted, open-source, object-oriented programming language. It's also free and runs portably on Windows, Mac OS, Unix, and other operating

Crustal Heat Flow: A Guide to Measurement and Modeling is a handbook for geologists and geophysicists who manipulate thermal data, particularly for petroleum exploration. In theory and with practical examples the book discusses the sources of heat within the crust, describes how to maximise the accuracy of temperature data, covers the measurement of the thermal properties of rocks, and explains a number of maturity indicators. The second part covers a range of thermodynamic models of the lithosphere and shows how these can be used to reconstruct the thermal history of individual sedimentary basins. This book will be regarded as a long-term reference source for professionals and researchers. It will also form the basis of advanced undergraduate and graduate student courses in geology, geophysics, engineering, mining, and environmental science, and will be a valuable text for petroleum industry training schemes.

Computerized data acquisition systems are often the principle method of recording experimental results. This book takes the reader step-by-step through the process of data acquisition and analysis, explaining how to set up the systems and then obtain useful information from the data recorded. In an easy-to-read style, it guides researchers through the basics of data acquisition systems, explains the important underlying concepts, and gives numerous examples of how to analyze the recorded information. While aimed at researchers in the life sciences, the topics covered are general and will be valuable to anyone interested in learning to use data acquisition systems. The principles can be applied to the collection of data from respiratory apparatus to behavioral science experiments, and a host of other situations. Many illustrations and worked examples accompany the text, and the mathematics are kept simple. This book is an invaluable tool for the non-engineer who is collecting and analyz

Computerized data acquisition systems are often the principle method of recording experimental results. This book takes the reader step-by-step through the process of data acquisition and analysis, explaining how to set up the systems and then obtain useful information from the data recorded. In an easy-to-read style, it guides researchers through the basics of data acquisition systems, explains the important underlying concepts, and gives numerous examples of how to analyze the recorded information. While aimed at researchers in the life sciences, the topics covered are general and will be valuable to anyone interested in learning to use data acquisition systems. The principles can be applied to the collection of data from respiratory apparatus to behavioral science experiments, and a host of other situations. Many illustrations and worked examples accompany the text, and the mathematics are kept simple. This book is an invaluable tool for the non-engineer who is collecting and analyz

Doing Science offers a rare compendium of practical advice based on how working scientists pursue their craft. It covers each stage of research, from formulating questions and gathering data to devel

In the tradition of The Fantastic Adventures of Nikola Tesla, The Anti-Gravity Handbook and The Free Energy Device Handbook, science and UFO author David Hatcher Childress takes us into the incredible

Infrared astronomy has been revolutionised in the last few years by the advent of large, sensitive, infrared arrays, and the success of several infrared satellites. This handbook provides a clear, concise and accessible reference on all aspects of infrared astronomy. Throughout, the emphasis is on fundamental concepts, practical considerations and useful data. Starting with a review of the basic infrared emission mechanisms, we are shown how the earth's atmosphere affects and limits observations from ground-based telescopes. The important systematics of photometric accuracy are treated in detail. Spectroscopy - both stellar and otherwise - is explained, and illustrated with useful examples. An important chapter is devoted to dust, which plays such a central role. Finally, the technical background to infrared instrumentation is covered. This volume provides both an essential introduction for graduate students making infrared observations or reducing infrared data for the first time, and

Infrared astronomy has been revolutionised in the last few years by the advent of large, sensitive, infrared arrays, and the success of several infrared satellites. This handbook provides a clear, concise and accessible reference on all aspects of infrared astronomy. Throughout, the emphasis is on fundamental concepts, practical considerations and useful data. Starting with a review of the basic infrared emission mechanisms, we are shown how the earth's atmosphere affects and limits observations from ground-based telescopes. The important systematics of photometric accuracy are treated in detail. Spectroscopy - both stellar and otherwise - is explained, and illustrated with useful examples. An important chapter is devoted to dust, which plays such a central role. Finally, the technical background to infrared instrumentation is covered. This volume provides both an essential introduction for graduate students making infrared observations or reducing infrared data for the first time, and

The Remote Sensing Data Book provides a unique resource of all aspects of remote sensing for the expert and non-expert alike. Organised as a dictionary, it contains over 700 alphabetically-arranged and cross-referenced entries on how remote sensing works, what kinds of data are available, and the large number of satellites and instruments from which the information is obtained. As well as short technical definitions, it also includes longer essays and reviews to give an overview of the subject. Although not a textbook in itself, the data book will serve as a valuable addition to existing textbooks for undergraduates and graduate students on geography, environmental and earth science courses that include an element of remote sensing. It will also be an essential reference for researchers and research managers at all levels using spaceborne remote sensing methods to obtain information about the earth's land, sea, ice and atmosphere.

At first glance, studying behavior is easy, but as every budding ethologist quickly realises, there are a host of complex practical, methodological and analytical problems to solve before designing and conducting the study. How do you choose which species or which behavior to study? What equipment will you need to observe and record behavior successfully? How do you record data in the dark, in the wet, or without missing part of the action? How do you analyse and interpret the data to yield meaningful information? This new expanded edition of the Handbook of Ethological Methods provides a complete step-by-step introduction to ethological methods from topic choice and behavioral description to data collection and statistical analysis. This book will be a must for beginning students and experienced researchers studying animal behavior in the field or laboratory.

At first glance, studying behavior is easy, but as every budding ethologist quickly realises, there are a host of complex practical, methodological and analytical problems to solve before designing and conducting the study. How do you choose which species or which behavior to study? What equipment will you need to observe and record behavior successfully? How do you record data in the dark, in the wet, or without missing part of the action? How do you analyse and interpret the data to yield meaningful information? This new expanded edition of the Handbook of Ethological Methods provides a complete step-by-step introduction to ethological methods from topic choice and behavioral description to data collection and statistical analysis. This book will be a must for beginning students and experienced researchers studying animal behavior in the field or laboratory.

Atmospheric analysis is the method of transforming the enormous and scattered database of atmospheric observations into the powerful mathematical and physical tools required to meet the growing demand for atmospheric data. Atmospheric Data Analysis is intended to fill a void in the atmospheric science literature and curricula. The book is self contained, and includes topics important in several other fields outside atmospheric observation, including atmospheric dynamics and statistics. It outlines the physical and mathematical basis of all aspects of atmospheric analysis. The emphasis is on the theoretical foundation of the subject and most of the development is analytic, but many practical considerations and examples are introduced. There are numerous exercises at the end of each chapter to aid the student in comprehending the material.

This is an introductory survey to the philosophy of science suitable for beginners and nonspecialists. Its point of departure is the question: why should we believe what science tells us about the world? In this attempt to justify the claims of science the book treats such topics as observation data, confirmation of theories, and the explanation of phenomena. The writing is clear and concrete with detailed examples drawn from contemporary science: solar neutrinos, the gravitational bending of light, and the creation/evolution debate, for example. What emerges is a view of science in which observation relies on theory to give it meaning and credibility, while theory relies on observation for its motivation and validation.

This is an introductory survey to the philosophy of science suitable for beginners and nonspecialists. Its point of departure is the question: why should we believe what science tells us about the world? In this attempt to justify the claims of science the book treats such topics as observation data, confirmation of theories, and the explanation of phenomena. The writing is clear and concrete with detailed examples drawn from contemporary science: solar neutrinos, the gravitational bending of light, and the creation/evolution debate, for example. What emerges is a view of science in which observation relies on theory to give it meaning and credibility, while theory relies on observation for its motivation and validation.

Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated manual of methods for analyzing ordered categorical data. This book discusses specialized models tha

A handbook on the theory and application of switched-mode power supplies. Presents all important established techniques and includes many detailed examples, using manufacturer's actual data sheets. Co

Museum curators, conservators, painters, teachers, and students?will find this volume an outstanding?reference. An encyclopedic collection of specialized data rather than a handbook of art instruction

本書分為三部分：數據可視化基礎知識部分包括前 3 章，主要介紹數據可視化的基礎理論，包括概念、發展歷史、流程、設計工具和原則，隨後深入探討了各種Python數據可視化庫(如Matplotlib、Seaborn和Plotly等)在創建數據視圖表示中的應用，以及Python中讀取、清洗和處理數據的方法。Python數據可視化技術部分包括第4～8章，主要介紹了不同類型數據的可視化方法，包括時間數據、關係數據、比例數據、文本數據和複雜數據的可視化。Python數據可視化應用案例部分包括第9～12章，通過具體案例展示數據可視化的綜合應用，包括用戶消費行為可視化分析、世界盃數據可視化分析、手機購物評論可視化分析等。本書既可以作為高等院校大數據、計算機、軟件及相關專業的教材，也可以作為軟件從業人員、計算機愛好者的參考用書。

本書秉承新工科教學理念，圍繞Python語言、程序設計和編程工具使用等方面，全面介紹Python編程的方法與應用。本書共13章，包括Python開發基礎、Python語言基本要素、簡單數據類型、程序控制語句、組合數據類型、函數與模塊、類與對象、文件處理、常見模塊的使用、NumPy數據處理、Pandas數據查詢、數據可視化、機器學習等內容。本書注重理論與實踐結合，注重對編程方法和思路的說明，並適當引入以數據分析和機器學習為背景的編程問題。本書同時將AI輔助編程的思想和方法融入其中，由淺入深地講解了Python語言開發的各類知識。本書可作為高等學校計算機相關專業“Python程序設計”相關課程的教材，也可作為Python愛好者及Python程序開發人員的參考書。

本書詳細介紹學習Python基礎編程所需要掌握的相關知識，內容覆蓋全國計算機等級考試二級Python考試大綱。全書共15章，包括Python語言概述、基礎語法知識、程序控制結構、序列、字符串、函數、面向對象程序設計、模塊、異常處理、基於文件的持久化、基於數據庫的持久化、圖形用戶界面編程、正則表達式、網絡爬蟲、常用的標準庫和第三方庫等。本書每章都安排了入門級的編程實踐操作，以便讀者更好地學習和掌握Python編程方法。本書免費提供豐富的教學資源，包括講義PPT、習題、源代碼、軟件、數據集、上機實驗指南等。 本書可以作為高等院校各個專業的Python入門級教材，也可作為Python軟件開發者的入門學習用書，還可作為Python等級考試的學習用書。

本書旨在為Python初學者提供一條從零基礎開始學習Python編程直至掌握其辦公自動化應用的路徑。本書結構清晰，循序漸進地引導讀者深入理解並靈活運用Python進行各種複雜的數據與文檔處理任務。本書單元1～單元6講解Python編程基礎知識，涵蓋搭建開發環境、Python基本語法、Python數據類型、程序控制結構、函數和類、文件操作等內容；單元7～單元12講解Python辦公自動化，涵蓋使用Python處理數據、Excel文件、Word文檔、PPT文檔、PDF文件和圖像等內容。本書融入AI輔助編程的相關知識，大部分任務和綜合實例均使用AI工具生成代碼。同時，本書在每個單元的拓展知識部分，提供AI大模型相關知識的介紹。本書內容豐富，講解詳盡，主要面向Python初學者，可作為各類院校相關專業的教材，也可作為Python愛好者的參考書。

《Python編程與數據分析》共10章，系統地梳理了Python核心功能及應用，分別介紹語言基礎、數據結構、函數式編程、字符串操作、數據持久化、GUI開發、網絡數據獲取、面向對象等內容。每章主要講述3～4個知識點，對每一個知識點都提供了詳細、易懂的例子，並結合作者多年的應用體會給讀者介紹大量的經驗知識。

本書以Python 3.x為平臺，介紹Python編程基礎和數據分析基礎，內容包括Python概述、Python語言基礎、程序控制結構、組合數據結構、函數與類、文件與目錄操作、NumPy數值計算、Pandas數據處理與分析、數據可視化，各章均配有豐富的例題與習題，並以一個完整的案例貫穿數據處理、數據分析與數據可視化三部分。本書適合作為普通高等學校文科類專業和其他非計算機類專業的Python編程及數據分析相關課程的教材，也適合從事相關工作的人員閱讀。

本書以Python 3.12.4版本為基礎，旨在助力讀者掌握 Python 在財經數據分析、處理與應用中的技能，提升財經決策的科學性與效率。全書共9章，前3章聚焦 Python 基礎，涵蓋Python編程環境搭建、語法、程序設計與文件操作，夯實編程基本功；第4～7章深入探討模塊和庫編程、NumPy數值計算、Pandas 數據處理與分析及Matplotlib庫與數據可視化，介紹Python強大的數據處理、數值計算與數據可視化功能；第8、9章介紹Python在財經領域的典型應用，如工資核算、財務報表編制等，並通過綜合應用：小費數據集可視化分析案例，強化Python數據分析的實際應用能力。本書內容循序漸進，從基礎語法到複雜分析，逐步構建知識體系；理論與實踐結合，每章都配有案例與練習題；突出財經特色，選取貼合財經場景的案例，充分滿足財經工作需求。本書適合作為高等院校數字經濟、財經類專業Python程序設計課程的教材，也適合作為財經從業者的自學參考書。

本書全面介紹使用Python進行醫學數據分析過程中需要的理論知識和Python庫。全書共9章，第1章介紹醫學數據分析及Python環境安裝；第2章介紹Python基礎；第3—6章介紹數據分析過程中的數據處理步驟及常用Python庫（Numpy矩陣運算、Pandas數據預處理及統計分析、Matplotlib數據可視化）；第7—8章介紹機器學習基礎及醫學領域常用模型、使用scikit-learn進行機器學習實戰；第9章結合前面章節內容和數據分析流程，完整介紹醫學數據分析實際應用的綜合案例。每章設計實訓案例提高讀者的實戰能力，快速上手醫學數據分析。 本教材適合作為一般院校和應用型本科院校醫學類及相關專業大數據分析課程的教材，也可供科研人員以及對數據分析感興趣的讀者參考。

本書採用案例和理論相結合的形式，以Anaconda和PyCharm為開發工具，系統地重點闡述了利用Python進行數據預處理、分析與可視化等相關知識，講解了Python各種數據處理展示的函數方法的使用方法。全書共有6章，分別是數據分析概述、Python基礎、利用Pandas進行數據預處理、利用Pandas進行數據分析、利用Matplotlib進行數據可視化、Python數據分析與綜合應用。書中安排了思維導圖、學習目標、知識指南、任務實訓、結果分析、鞏固訓練、每章測試等模塊。本書既可以作為本科和高職院校各專業數據分析相關課程的教材，也可以作為企業電子商務、市場營銷、數據分析人員的參考資料。

本書以PyCharm為主要開發工具，由淺入深、全面系統地講解了Python的相關知識。全書共分為9章，內容包括Python概述、Python基本語法、基本數據類型與運算符應用、程序流程控制語句、組合數據類型、函數應用與模塊化程序、文件操作管理、面向對象、Python計算生態與第三方庫。本書內容豐富、講解詳細，以PyCharm為主要開發工具，可作為高等教育本、專科院校計算機相關專業的教材，也可作為編程愛好者的自學參考用書。

本書共8章，全面介紹Python在財務大數據分析與可視化方面的應用，內容包括Python與財務概述、Python基礎、Python財務數據預處理、Python財務數據分析、Python財務數據可視化、管理會計數據分析與可視化、財務會計數據分析與可視化和綜合會計數據分析與可視化。本書包含大量財務案例，知識點緊密關聯實際財務場景，每章設置思考與練習和任務實訓內容，幫助讀者在實踐中加深對知識點的理解，提升解決實際問題的能力。本書配有PPT課件、教學大綱、電子教案、案例數據、實訓數據、思考與練習答案等教學資源，用書老師可在人郵教育社區免費下載。本書可作為高等院校會計學、財務管理等相關專業的數據分析或大數據財務相關課程的教材，也可作為財務領域從業者提升數據分析能力的參考書，還可作為廣大對Python在財務方向的應用感興趣的讀者的自學用書。

《Python編程基礎與醫學統計數據分析》是一本適用于大學本科計算機基礎課程的教材。全書共10章，前8章先從認識Python入手，逐步深入介紹Python語法基礎、基本和組合數據類型、控制結構、函數等編程基礎知識，然後講解標準庫、文件操作，以及科學計算與數據分析；後2章聚焦醫學領域，講解科學計算與數據分析知識，並結合實際案例展示醫學數據分析的具體應用。 本書適合計算機相關專業及醫學專業的本科生閱讀，也可供對Python編程和醫學統計數據分析感興趣的自學者參考，能幫助讀者掌握Python編程技能，運用其解決醫學領域的實際問題。

As an introduction to Python, this book allows readers to take a slow and steady approach to understanding Python code, explaining concepts, connecting programming with real-life examples, writing Python programs, and completing case studies.While there are many books, websites, and online courses about the topic, we break down Python programming into easily digestible lessons of less than 5 minutes each, following our BiteSize approach. Each lesson begins with a clear and short introduction to the topic. This gives you a strong base to start from and gets you ready for deeper learning. Then, you will see coding demonstrations that show the ideas discussed. These examples are simple and useful, helping you really understand the concepts. You'll then practice tasks at different difficulty levels, so you can test your knowledge and increase your confidence. You'll also play with case studies to solve real-world problems. Tips are included to show how you can incorporate generative AI int

《Python應用技巧速查手冊302》是一本實用的代碼功能集，收集了從Python基礎知識到常用功能，再到實際開發過程中需求較高的技巧，方便讀者查詢以快速實現想要的功能。內容涵蓋基本語法、數值處理、文本處理、數據庫、HTTP請求、數據分析和圖像處理等各個方面，並以易於重複查閱的形式整理了語法和代碼，特別適合編程初學者、新手工程師、業餘愛好者、研究人員等所有使用Python進行編程的人群作為案頭必備參考書。

成功的Python包應該安裝簡便、運行穩定，並能持續可靠地更新。發佈一個完美的Python包需要遵循嚴謹的流程體系，包括系統化測試和代碼審查，以及完善的文檔體系。值得慶倖的是，Python生態提供了豐富的工具和技術，可實現從專案初始化到版本發佈的全流程自動化。本書深度解析了以自動化和可擴展的方式共用Python代碼的實用流程。通過實際操作，讀者可輕鬆掌握**打包工具的運用技巧，深入瞭解包測試和持續集成的方方面面，甚至可獲得創建可持續開源項目的專業技巧，包括授權合約、文檔編寫及培育貢獻者社區等關鍵維度。

本書是統計學的入門書，對同一個知識點分別使用文字說明、數學式和Python示例代碼進行講解，循序漸進地介紹了統計學和Python的基礎知識、描述統計、統計推斷、假設檢驗、正態線性模型和廣義線性模型等統計模型，以及機器學習等。通過閱讀本書，讀者不僅可以深刻理解統計學術語、統計分析方法和預測方法等，還可以學到前沿的機器學習知識，以及如何使用Python實現資料視覺化和建模等。本書結構清晰、直觀易懂，適合統計學和Python的初學者及對資料科學和機器學習感興趣的讀者使用，也可作為高等院校電腦、統計等專業學生的入門書。

Rikki Thunder, twenty-two-year-old drummer for the scorching new ’80s metal band Whyte Python, is about to have it all: absurd wealth, global fame, and a dream girlfriend. But an unwitting role as an international spy? That was definitely not part of the plan."A rock-n-roll thrill ride... Heavy Metal icon Rikki Thunder's satirical memoir is sweeter than Cherry Pie and better than a prescription from Dr. Feelgood! You need to read it."—Ernest ClineIt’s Los Angeles, 1986, and metal rules the world. For aspiring drummer Rikki Thunder, life is beautiful, just like his hair—even if he is sleeping in a condemned paint store and playing with a band that’s going nowhere. But when Rikki gets a shot to join L.A.’s hottest up-and-coming club band, Whyte Python, his young life takes a mind-blowing turn. Soon he and his new band mates have a hit single rocketing up the charts, Whyte Python is selling out major clubs, and Rikki has a gorgeous girlfriend in the audience and in his life. He literally

語法解析 x 範例說明 x 程式實例 x ChatGPT輔助學習 x ITS Python詳解用Python打造未來競爭力，結合ChatGPT協作開發，加速學習之路，直通大數據、機器學習與人工智慧核心技術！ ★ 超值加贈！用ChatGPT學Python教學影片 ★ 涵蓋ITS Python國際認證模擬試題解析 ■ 微軟最有價值專家(MVP)、ITS Python國際認證講師與資深教師共同執筆由微軟MVP、ITS國際認證講師與科大教授共同編撰，專為初學者量身打造的Python入門教材。不僅適合零基礎學習者，也適用於教師教學與學生運算思維訓練。 ■ 循序漸進，無痛上手內容結合理論與實務，透過書中範例引導問題分析與程式架構設計，系統性培養初學者的邏輯思維與問題解決能力，輕鬆踏入Python程式設計的世界。 ■ 豐富內容與實務應用內容涵蓋Spyder與Colab開發環境，從基礎語法、資料結構、控制流程到檔案處理、圖表設計與視窗應用開發，進一步延伸至網頁爬蟲實作。搭配ChatGPT進行數據分析、圖表繪製與爬蟲協作，全面訓練實作能力，為進入大數據、機器學習與AI領域打下堅實基礎。 ■ ITS Python國際認證能力訓練內容融合ITS Python解題技巧，書末收錄兩組ITS Python（IT Specialist Certification）國際認證模擬試題，強化初學者的實作訓練，也是考取ITS Python認證的理想教材。 ■ 超值！附「用ChatGPT學習Python」教學影片結合ChatGPT協助撰寫程式、加入註解、除錯與理解程式邏輯，全面加速您提升Python程式設計實力。 ■ 更多新知可訂閱「程式享樂趣」YouTube頻道https://www.youtube.com/@happycodingfun

https://youtu.be/ATMznfbmwD0 Python最強入門 ChatGPT助攻 AI數據科學 王者歸來 (全彩印刷) 【內容簡介】 ★★★★★【內容最多、範圍最廣】【40個主題】★★★★★ ★★★★★【程式實例最多】【超過1300個Python實例】★★★★★ ★★★★★【AI數據科學專題實戰】★★★★★ ★★★★★【420個是非題、選擇題】【約300個習題實作題】★★★★★ Python語言是基礎科學課程，撰寫這本書時採用下列原則。 1：最新Python語法 x 強調Python語法內涵與精神。 2：精彩 x 創意程式實例解說。 3：數學 x 統計 x 數據科學與人工智慧知識融入內容。 4：ChatGPT助攻。 5：章節習題引導讀者複習與自我練習。 6：機器學習 - 真實數據 – 專題實戰 。 這本書可以說是「Python最強入門邁向數據科學之路第4版」的新版內容，相較於該版，這本更新許多Python語法和模組，整個修訂細節超過300處。由於內容更偏重於AI與數據科學的應用，因此也更新微調書籍名稱。 多次與教育界的朋友相聚，談到電腦語言的發展趨勢，大家一致公認Python已經是當今最重要的電腦語言了，幾乎所有知名公司，例如：Google、Facebook、…等皆已經將此語言列為必備電腦語言。了解許多人想學Python，市面上的書也不少了，但是許多人買了許多書，但是學習Python路上仍感障礙重重，原因是沒有選到好的書籍，市面上許多書籍的缺點是： ◎Python語法講解不完整 ◎用C、C++、Java觀念撰寫實例 ◎Python語法的精神與內涵未做說明 ◎Python進階語法未做解說 ◎基礎實例太少，沒經驗的讀者無法舉一反三 ◎模組介紹不足，應用範圍有限 許多讀者因此買了一些書，讀完了，好像學會了，但到了網路看專家撰寫的程式往往看不懂。就這樣我決定撰寫一本用豐富、實用、有趣實例完整且深入講解Python語法的入門書籍。其實這本書也是目前市面上講解Python書籍中語法最完整，當讀者學會Python後，本書將逐步帶領讀者邁向數據科學、機器學習之路。Python以簡潔著名，語法非常活，同時擁有非常多豐富、實用的模組，本書筆者嘗試將Python語法的各種用法用實例解說，同時穿插使用各種模組，以協助讀者未來可以更靈活使用Python，以奠定讀者邁向

本書是一本教初學者學習Python 基礎知識及簡單數據處理的入門書籍。以PyCharm作為開發工具，採用理論與項目結合的形式，循序漸進地講解Python 基礎知識、網絡爬蟲、pandas 數據處理及數據可視化。本書共12章，第1～9章講解了Python 基礎知識，包括Python 開發環境的安裝、語法基礎、控制流程語句、序列、字典和集合、函數、類與對象、異常處理、文件操作；第10章講解了網絡爬蟲，包括使用requests 庫爬取數據、使用BeautifulSoup 庫解析數據、使用Scrapy 框架實現爬蟲；第11章講解了pandas 數據處理，包括Series 對象、DataFrame 對象、數據清洗與數據處理；第12章講解了使用matplotlib 庫進行數據可視化。本書適合編程初學者學習Python 基礎知識和簡單的數據處理，也適合作為專科、本科院校計算機相關的教材。

近年來，Python語言憑藉其在數據分析領域的優勢得以快速發展，眾多軟件廠商也相繼推出了支持Python的量化交易平臺。本書是介紹Python編程及其在量化交易領域的實踐技巧的圖書，旨在幫助讀者掌握基本的Python編程技能，並順利應用於期貨量化交易實踐。本書內容分為兩篇。第一篇是Python基礎，通過13章內容介紹了Python編程的基礎知識，如語法規則、數據類型、函數、類、裝飾器、異常處理、進程和線程等；第二篇是期貨量化交易，通過8章內容介紹了Python在期貨量化交易中的應用，並基於天勤量化交易平臺講解開發實踐，涉及pandas模塊、TqSdk的接口、函數、量化策略的框架、圖形化編程及時間序列相關的知識等。本書適合對期貨量化交易感興趣的普通投資者和投資機構專業人員閱讀，讀者可以具備一定的?Python基礎，也可以通過本書從頭學習Python基礎知識，再進一步延伸到期貨量化交易的學習。

本書是針對所有層次的Python讀者而作的Python人門書。全書分為兩部分：第一部分介紹使用Python編程所必須瞭解的基本概念，包括強大的Python庫和工具，以及列表、字典、if語句、類、文件和異常、測試代碼等內容；第二部分將理論付諸實踐，講解如何開發三個項目，包括簡單的2D遊戲、利用數據生成交互式的信息圖以及創建和定制簡單的Web應用程序，並幫助讀者解決常見編程問題和困惑。第3版進行了全面修訂：使用了文本編輯器VS Code，新增了介紹removeprefix()方法和removesuffix()方法的內容，並且在項目中利用了Matplotlib和Plotly的近期新特性，等等。本書適合對Python感興趣的所有讀者閱讀。