Description

Book Synopsis
Kennedy Behrman is a veteran software and data engineer. He first used Python writing asset management systems in the Visual Effects industry. He then moved into the startup world, using Python at startups using machine learning to characterize videos and predict the social media power of athletes.



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

Foundational Python for Data Science

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    A Paperback / softback by Kennedy Behrman

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      Book details

      Publisher Pearson Education (US)
      Published 24 January 2022
      ISBN-13 9780136624356
      978-0136624356
      ISBN-10 0136624359
      Also in:
      Non Fiction Computing Data warehousing Programming and scripting languages: general

      Description

      Book Synopsis
      Kennedy Behrman is a veteran software and data engineer. He first used Python writing asset management systems in the Visual Effects industry. He then moved into the startup world, using Python at startups using machine learning to characterize videos and predict the social media power of athletes.



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

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