Python Data Science Handbook

Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for bot

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. W

Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data, reducing or eliminating the need for a heavyweight

Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R.Data scien

The fast and easy way to learn Python programming and statisticsPython is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of peop

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to compl

The generation and use of data in society has seen exponential growth in recent years. The emergent field of data science, concerned with understanding and analyzing this data, can be applied to appli

A groundbreaking, flexible approach to computer science and data scienceThe Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud o

Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise resultsKey FeaturesStudy new techniques for marketing analyticsExplore uses of machine learni

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully rev

This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audie

Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means.

Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Py

Written for developers with a background in any high-level language, Introduction to Python and Data Science for Programmers explores the Python language and Python APIs in depth, applying the Deitels

"This book investigates the incorporation of pattern management in business technologies as well as decision-making and prediction process. It brings together the common issues of data management and

"This book presents the concepts of big data, explores its analytics and technologies and their applications and develops an understanding of issues pertaining to the use of big data in multidisciplin

Python has become the language of choice for programmers in data science, game development, and numerous other areas. Learn the basics of Python programming in this step by step guide in a “teach your

本書提供了一個完整的、現代的Web抓取指南，使用Python作為編程語言，專為數據科學的讀者編寫，探討了Web抓取和以及其背後的大量Web技術。書中首先簡要概述抓取和現實生活中的用例,解釋了HTTP、HTML和CSS的核心概念作為基礎。*後總結了一些*佳實踐和一系列的例子，這些數據科學用例彙集了你學到的所有知識。讀者將學習到如何利用已建立的*佳實踐和常用的Python包，處理包括JavaScrip

Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-le

本書首先介紹了如何在Python3.5中安裝必要的數據科學工具箱；然後引導你進入數據改寫和預處理階段，在其中闡述用於數據分析、探索或處理的數據加載、變換和修復等關鍵的數據科學活動；後，通過介紹主要的機器學習算法、圖分析技術和可視化方法來對數據科學進行概述。

從事資料科學方面的工作時，活用各種相關函式庫、軟體框架、模組、工具包是很好的做法，但如果原本完全不懂資料科學，從頭開始也是一種不錯的做法。本書將採取土法煉鋼從頭學起的方式，帶領讀者認識與資料科學相關的許多工具與演算法。你只要具備基本的數學能力，以及程式設計的基礎，本書就可以幫你在遇到相關的數學與統計知識時，不至於感到害怕，而且還能讓你學會一個資料科學家所需具備的相關駭客技術。如今到處充斥著各種雜亂

"This book explores the development of intelligent techniques for the information security in the area of biomedical image and signal processing. It emphasizes on data security and content protection

"This book explores how to assess, characterize and design urban spaces using perceptual approaches. It gathered theory and case studies on methods for data collection and analysis of individual respo

This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making i

The Earth and environmental sciences are becoming progressively more quantitative due to the increased use of mathematical models and new data analysis techniques. This accessible introduction presents an overview of the mathematical methods essential for understanding Earth processes, providing an invaluable resource for students and early career researchers who may have missed (or forgotten) the mathematics they need to succeed as scientists. Topics build gently from basic methods such as calculus to more advanced techniques including linear algebra and differential equations. The practical applications of the mathematical methods to a variety of topics are discussed, ranging from atmospheric science and oceanography to biogeochemistry and geophysics. Including over 530 exercises and end-of-chapter problems, as well as additional computer codes in Python and MATLAB®, this book supports readers in applying appropriate analytical or computational methods to solving real research questi