Python for Data Science For Dummies (eBook)

John Paul Mueller is a freelance author and technical editor who has written 124 books on topics ranging like networking, home security, database management, and heads-down programming. Luca Massaron is a data scientist specialized in solving real-world problems with AI, machine learning, and algorithms. He is also a Kaggle Grandmaster and a Google Developer Expert.

Introduction 1

Part 1: Getting Started with Data Science and Python 7

Chapter 1: Discovering the Match between Data Science and Python 9

Chapter 2: Introducing Python's Capabilities and Wonders 21

Chapter 3: Setting Up Python for Data Science 33

Chapter 4: Working with Google Colab 49

Part 2: Getting Your Hands Dirty with Data 71

Chapter 5: Working with Jupyter Notebook 73

Chapter 6: Working with Real Data 83

Chapter 7: Processing Your Data 105

Chapter 8: Reshaping Data 131

Chapter 9: Putting What You Know into Action 143

Part 3: Visualizing Information 157

Chapter 10: Getting a Crash Course in Matplotlib 159

Chapter 11: Visualizing the Data 177

Part 4: Wrangling Data 199

Chapter 12: Stretching Python's Capabilities 201

Chapter 13: Exploring Data Analysis 223

Chapter 14: Reducing Dimensionality 251

Chapter 15: Clustering 273

Chapter 16: Detecting Outliers in Data 291

Part 5: Learning from Data 305

Chapter 17: Exploring Four Simple and Effective Algorithms 307

Chapter 18: Performing Cross-Validation, Selection, and Optimization 327

Chapter 19: Increasing Complexity with Linear and Nonlinear Tricks 351

Chapter 20: Understanding the Power of the Many 391

Part 6: The Part of Tens 413

Chapter 21: Ten Essential Data Resources 415

Chapter 22: Ten Data Challenges You Should Take 421

Index 431