Python for Data Science For Dummies

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 1Part 1: Getting Started with Data Science and Python 7Chapter 1: Discovering the Match between Data Science and Python 9Chapter 2: Introducing Python’s Capabilities and Wonders 21Chapter 3: Setting Up Python for Data Science 33Chapter 4: Working with Google Colab 49Part 2: Getting Your Hands Dirty with Data 71Chapter 5: Working with Jupyter Notebook 73Chapter 6: Working with Real Data 83Chapter 7: Processing Your Data 105Chapter 8: Reshaping Data 131Chapter 9: Putting What You Know into Action 143Part 3: Visualizing Information 157Chapter 10: Getting a Crash Course in Matplotlib 159Chapter 11: Visualizing the Data 177Part 4: Wrangling Data 199Chapter 12: Stretching Python’s Capabilities 201Chapter 13: Exploring Data Analysis 223Chapter 14: Reducing Dimensionality 251Chapter 15: Clustering 273Chapter 16: Detecting Outliers in Data 291Part 5: Learning from Data 305Chapter 17: Exploring Four Simple and Effective Algorithms 307Chapter 18: Performing Cross-Validation, Selection, and Optimization 327Chapter 19: Increasing Complexity with Linear and Nonlinear Tricks 351Chapter 20: Understanding the Power of the Many 391Part 6: The Part of Tens 413Chapter 21: Ten Essential Data Resources 415Chapter 22: Ten Data Challenges You Should Take 421Index 431