Foundational Python for Data Science

Paperback Engels 2022 9780136624356
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Samenvatting

Data science and machine learning—two of the world's hottest fields—are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world's #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help students with widely diverse backgrounds learn foundational Python so they can use it for data science and machine learning. This book is catered to introductory-level college courses on data science. 

Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once students have learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more—all created with Colab (Jupyter compatible) notebooks, so students can execute all coding examples interactively without installing or configuring any software.

Specificaties

ISBN13:9780136624356
Taal:Engels
Bindwijze:Paperback

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Inhoudsopgave

<blockquote> Preface xiii <br> </blockquote> I:&nbsp; Learning Python in a Notebook Environment 1 <br> <blockquote> 1&nbsp; Introduction to Notebooks 3 <br>2&nbsp; Fundamentals of Python 13 <br>3&nbsp; Sequences 25 <br>4&nbsp; Other Data Structures 37 <br>5&nbsp; Execution Control 55 <br>6&nbsp; Functions 67 <br> </blockquote> II: Data Science Libraries 83 <br> <blockquote> 7&nbsp; NumPy 85 <br>8&nbsp; SciPy 103 <br>9&nbsp; Pandas 113 <br>10&nbsp; Visualization Libraries 135 <br>11&nbsp; Machine Learning Libraries 153 <br>12&nbsp; Natural Language Toolkit 159 <br> </blockquote> III: Intermediate Python 171 <br> <blockquote> 13&nbsp; Functional Programming 173 <br>14&nbsp; Object-Oriented Programming 187 <br>15&nbsp; Other Topics 201 <br>A&nbsp; Answers to End-of-Chapter Questions 215 <br> </blockquote> <blockquote> Index 221 <br> </blockquote>

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        Foundational Python for Data Science