Python Data Science Handbook

This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science.

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

This self-contained handbook provides a carefully researched, compact source of key earth science information and data, logically sorted by subject matter, and then cross-referenced. Appealing to both

The book provides a carefully researched, compact source of key earth science information and data, logically sorted by subject matter, and then cross-referenced. Appealing to both experts and non-exp

For readers who may not be statisticians or data analysts, Sarmento and Costa explain how to analyze data using the Python and R languages. They have particularly in mind, students and researchers

In Python Recipes, you'll learn the code to write algorithms, numerical computations, data analysis and much more: look up and re-use the recipes for your own Python coding.Python Recipes gives you th

Finally! Deep Neural Networks Simplified with PythonDeep Learning Step by Step with Python takes you on a gentle, fun and unhurried journey to building your own deep neural network models in Python. U

「這本書正是我當年提出『資料科學家』這個職稱時，所希望能擁有的一本書。如果您希望投身資料科學╱工程、人工智慧，或機器學習領域，就該從這裡開始。」 ── DJ Patil 博士，美國首任首席資料科學家 身為一位有志成為資料科學家的讀者，能夠理解各類組織為何仰賴資料來做出關鍵決策──無論是公司在設計網站、還是市政府在改善公共服務，或者是科學家在致力於阻止疾病擴散。而您也希望具備將雜亂資料整理為可行洞見的能力。我們將這整個過程稱為「資料科學生命週期」：也就是從資料的收集、整理、分析，到導出結論的完整流程。 本書是第一本涵蓋程式設計與統計兩大基礎技能、並貫穿整個資料科學生命週期的書籍。本書的對象包括希望成為資料科學家的人、與資料科學家共事的專業人士，以及希望跨越「技術╱非技術」界線的資料分析師。只要具備基本的 Python 程式設計知識，便可學習如何透過業界標準工具（如 pandas）來處理資料： ．將感興趣的問題精煉為可透過資料探究的研究問題 ．執行資料蒐集，其中可能涉及文字處理、網頁爬蟲等技術 ．透過資料清理、探索與視覺化，萃取出有價值的洞見 ．學會使用建模來描述資料特性 ．推廣研究結果，進行超出資料本身的推論

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

Finding a good data scientist has been likened to hunting for a unicorn. The required combination of software engineering skills, mathematical fluency, and business savvy are simply very hard to find

This is a handbook for decision-makers from the initial research and decision-making process through planning, choosing products, and implementing—and, crucially, maintaining and governing—the modern

As with the first three editions of the Handbook of Materials Science and Engineering, the fourth edition focuses on the high quality data including that provided by the most relevant professional soc